Recently Read: March 22, 2010

Recently Read is an OCDQ regular segment.  Each entry provides links to blog posts, articles, books, and other material I found interesting enough to share.  Please note “recently read” is literal – therefore what I share wasn't necessarily recently published.

 

Data Quality

For simplicity, “Data Quality” also includes Data Governance, Master Data Management, and Business Intelligence.

  • The Data Quality Herald Magazine – Dylan Jones, the founder and community manager of Data Quality Pro, recently released the first edition of a unique new magazine focused squarely on the needs of the data quality community.
  • Defining Master Data for Your Organization – Loraine Lawson recaps a recent David Loshin MDM vendor panel discussion, and looks at both the simple answer and the complex, but more useful, answer to the question “what is master data?”
  • What is Data Quality anyway? – Henrik Liliendahl Sørensen asks two excellent questions in this blog post (which also received great comments): “is data quality an independent discipline?” and “is data quality an independent technology?”
  • Business logic – Peter Thomas provides a hilarious adapted comic strip.
  • Police Untelligence – from IQTrainwrecks.com, which is provided by the IAIDQ, read the story about the home of an elderly Brooklyn couple that has been raided by the New York City Police Department 50 times over the last 4 years.
  • Metadata and 3-D Glasses – David Loshin explains the data governance, data stewardship, and metadata/harmonization albatross hanging around the neck of the common question “what is the definition of ‘customer’?”
  • No Enterprise wide Data Model – Ken O’Connor continues his excellent series about common enterprise wide data governance issues with this entry about the impact of not having an enterprise wide data model.
  • Putting data on the web – Rich Murnane shares an excellent recent TED video by Tim Berners-Lee showing some of the benefits of shared data on the web.
  • Building your Data Governance Board – Marty Moseley continues his overview of agile data governance by discussing how you select a data governance board, and how you establish data governance priorities.
  • The Change Paradox – Carol Newcomb examines the “change is good, but change is bad” paradox often encountered in consulting when recommended new technology or new methodology conflicts with your client's corporate culture.  
  • Data Quality Non-Believers – Phil Simon takes on the data quality non-believers making “dataless decisions” by relying on gut instincts to explain such things as customer churn, employee turnover, and intelligent spending of corporate funds. 
  • Data Cleansing to Achieve Information Quality – Jackie Roberts raises some interesting questions regarding the efforts needed to cleanse data though multiple stages of analytics and processes to achieve appropriate information quality.
  • Data Quality Principles within the PMO – Phil Wright provides a list of six excellent principles that must be met in order to help embed a culture of data quality, data assurance, and data governance within each new project.
  • Is computer analysis accurate? – Julian Schwarzenbach considers the accuracy of computer analysis in decision making, especially automated decision making that attempts to mimic human logic, intuition, and insight.

 

Related Posts

Recently Read: March 6, 2010

Recently Read: January 23, 2010

Recently Read: December 21, 2009

Recently Read: December 7, 2009

Recently Read: November 28, 2009

 

Recently Read Resources

Data Quality via My Google Reader

Blogs about Data Quality, Data Governance, Master Data Management, and Business Intelligence

Books about Data Quality, Data Governance, Master Data Management, and Business Intelligence

Recently Read: March 6, 2010

Recently Read is an OCDQ regular segment.  Each entry provides links to blog posts, articles, books, and other material I found interesting enough to share.  Please note “recently read” is literal – therefore what I share wasn't necessarily recently published.

 

Data Quality

For simplicity, “Data Quality” also includes Data Governance, Master Data Management, and Business Intelligence.

  • Let the Data Geeks Play – Rob Paller is hosting a contest on his blog challenging all data geeks to submit an original song (or parody of an existing one) related to MDM, Data Governance, or Data Quality.  Deadline for submissions is March 20.
  • The First Step on your Data Quality Roadmap – Phil Wright describes how to learn lessons from what has happened before, and use this historical analysis as a basis for planning a successful strategy for your data quality initiative.
  • Bad word?: Data Owner – Henrik Liliendahl Sørensen examines how the common data quality terms “data owner” and “data ownership” are used and whether they are truly useful.  Excellent commentary was also received on this blog post.
  • Data as a smoke screen – Charles Blyth discusses how to get to the point where your consumers trust the data that you are providing to them.  This post includes a great graphic and received considerable commentary.
  • MDM Streamlines the Supply Chain – Evan Levy ruminates on the change management challenge for MDM—where change truly is constant—and how the supply chain can become incredibly flexible and streamlined as a result of MDM.
  • MDM as a Vendor Fight to Own Enterprise Data – Loraine Lawson (with help from actor Peter Boyle) looks at another angle of the recent MDM vendor consolidation, based on the recent remark “MDM is the new ERP” made by Jill Dyché. 
  • Data Quality Open Issues and Questions? – Jackie Roberts of DATAForge issues the blogosphere challenge of discussing real-world best practices for MDM, data governance, and data quality.  This blog post received some great comments.
  • Noise and Signal – David Loshin examines the implications of the rising volumes of unstructured data (especially from social media sources) and the related need for data (and metadata) quality to help filter out the signal from the noise.  
  • A gold DQ team! – Daniel Gent, inspired by the recent Winter Olympics and his country's success in ice hockey, discusses the skills and characteristics necessary for assembling a golden data quality team. 
  • Unpredictable Inaccuracy – Henrik Liliendahl Sørensen incites another thought-provoking discussion in the comments section of his blog with this post about the impact on data quality initiatives caused by the challenging reality of time.
  • Does your data quality help customers succeed? – Dylan Jones searches for the holy grail of data quality—providing your customers with great information quality that enables them to achieve their goals as quickly and simply as possible.
  • Charm School: It’s Not Just for IT Anymore – Jill Dyché reminds the business that it’s their business, too—and illustrates the need for a sustained hand-off cycle between IT and the business—and the days of the IT-business mind-meld are over.
  • Data Quality Lip Service – Phil Simon examines why leaders at many organizations merely pay lip service to data quality, and makes some recommendations for getting data quality its due.  Simon Says: “Read this blog post!”
  • What is the name of that block? – Rich Murnane provides a fascinating discussion about looking at things differently by sharing a TED video with Derek Sivers, who explains the different way locations are identified in Japan.
  • Aphorism of the week – Peter Thomas recently (and thankfully) returned to active blogging.  This blog post is a great signature piece representative of his excellent writing style, which proves that long blog posts can be worth reading.
  • How tasty is your data quality cheese? – Julian Schwarzenbach explains data quality using a cheese analogy, where cheese represents a corporate data set, mold represents poor data quality, which causes indigestion—and poor business decisions.
  • Wild stuff: Nines complement date format – Thorsten Radde provides a great example of the unique data quality challenges presented by legacy applications by explaining the date format known as Nine’s complement

 

Social Media

For simplicity, “Social Media” also includes Blogging, Writing, Social Networking, and Online Marketing.

  • Ten Things Social Media Can't Do – B.L. Ochman provides a healthy reminder for properly setting realistic expectations about social media, and provides a great list of ten things you should not expect from social media.
  • A Manifesto for Social Business – Graham Hill discusses how the nature of business is inexorably changing into a new kind of Social Business that is driven by social relationships, and lists fifteen themes (the Manifesto) of this change.
  • Framing Your Social Media Efforts – Chris Brogan explains there are three fundamental areas of practice for social media: (1) Listening, (2) Connecting, and (3) Publishing.
  • Minding the Gap – Tara Hunt examines the gap between the underlying values of business and the underlying human values that drive community.  This blog post also includes an excellent SlideShare presentation that I highly recommend.
  • The Albert Einstein Guide to Social Media – Amber Naslund channels the wisdom of Albert Einstein by using some of his most insightful quotes to frame a practical guide to a better understanding of social media.

 

Book Quotes

An eclectic list of quotes from some recently read (and/or simply my favorite) books.

  • From Linchpin: Are You Indispensable? by Seth Godin – “You don't become indispensable merely because you are different.  But the only way to be indispensable is to be different.  That's because if you're the same, so are plenty of other people.  The only way to get what you're worth is to stand out, to exert emotional labor, to be seen as indispensable, and to produce interactions that organizations and people care deeply about.”

 

Related Posts

Recently Read: January 23, 2010

Recently Read: December 21, 2009

Recently Read: December 7, 2009

Recently Read: November 28, 2009

 

Recently Read Resources

Data Quality via My Google Reader

Social Media via My Google Reader

Books about Data Quality, Data Governance, Master Data Management, and Business Intelligence

Blogs about Data Quality, Data Governance, Master Data Management, and Business Intelligence

Books about Social Media, Blogging, Social Networking, and Online Marketing

Blogs and Websites about Social Media, Social Networking, and Online Marketing

The Wisdom of the Social Media Crowd

In his blog post A Story Culture, Michael Lopp, author of Managing Humans (check out the book's great promotional website), used the intriguing phrase “connective information tissue” to describe the value of tweets (status messages sent via Twitter).

 

Information Hierarchy

Challenged by his editor to better understand what information is, Lopp starts with the definition of the Information Hierarchy provided by Ray R. Larson at Berkeley:

  • Data – The raw material of information
  • Information – Data organized and presented by someone
  • Knowledge – Information read, heard or seen and understood
  • Wisdom – Distilled and integrated knowledge and understanding

Lopp then examines how information ascends this hierarchy using the perennial vehicle designed for its transmission—the story.

 

Shattered bits of narrative

“The traditional narrative,” explains Lopp, “has been shattered into bits of well-indexed information.  Google wasn’t the first indexing tool, but it’s certainly the best.  Still, Google is powerfully dumb.  Yes, I can find whatever piece of information I’m looking for, but what’s more interesting are all the related pieces of information.  How do you query for knowledge via Google?  How about wisdom?”

Constructing (or reconstructing) a meaningful narrative from shattered bits of information requires a human storyteller.

“There’s no replacing,” explains Lopp, “a human being combing through seemingly disparate pieces of information to evaluate, interpret, and combine it into something unexpected; into a new work.  Into a story.”

 

What tale can tattered tweets truly tell?

With their 140 character limit, tweets are certainly capable of being classified as shattered bits of narrative.

However, according to Lopp, “the point of Twitter isn’t knowledge or understanding, it’s merely connective information tissue.  It’s small bits of information carefully selected by those you’ve chosen to follow and its value isn’t in what they send, it’s how it fits into the story in your head.  There are great stories to be found on Twitter, but you have to do the work.”

Case in point—it was the tweet sent by Rob Paller that lead me to the blog post I am trying to write a great story about now.

Of course, as Lopp acknowledges, Twitter is not an isolated example. 

Information continues to be shared in smaller and smaller bits in accordance with our shorter and shorter attention spans. 

“Paradoxically, it’s never been easier to share or meaningfully interact with more people with less physical, in-person effort,” explains Lopp.  “Your ability to compose and convey information as well as express yourself through your fingertips is a skill that is only going to increase—and increase in value—as people become more comfortable with their place in communities that span the planet, and as the tools to connect them become more commonplace.” 

As social media's conversation medium continues to supplant traditional media's broadcast medium, it is enabling a world that fulfills James Joyce's vision in Finnegans Wake: “my consumers, are they not my producers?”

In other words, we are both consuming and producing the connective information tissue that forms our collective intelligence.

 

We are all storytellers

Even before the evolution of written language, storytelling played an integral role in every human culture.  Listening to stories and retelling them to others continues to be the predominant means of expressing our emotions and ideas.  Writing (and reading) greatly improves our ability to communicate, educate, record our history, and thereby pass on our information, knowledge, and wisdom to future generations.

We are now living in an amazing age where the very air we breath is literally teeming with information.  Digital data streams are continuously transmitted across the globe at near instantaneous speeds.  We need storytellers now more than ever. 

However, storytelling is neither an esoteric skill possessed by only a select few, nor is it the sole providence of writers. 

“The construction of a story,” explains Lopp, “has very little to do with writing.  It has to do with the semi-magical process of you taking disparate pieces of information, combining them into something new, which includes your experience and understanding, and then giving them to someone else.”

In a story culture, we are all storytellers. 

Storytelling may not be as simple (or as fun) as playing a game of Mad Libs.  However, it is important to realize that the very act of thinking is a form of storytelling.  The thought process is your brain collecting the shattered bits of information whirling around in your head and weaving them together into a narrative that, at least at first, might not make sense—even to you. 

The thought process isn't always simple and it isn't always fast.  Especially when all those voices in your head talk at once. 

My own thinking often feels like I am herding cats or—thanks to the “semi-magical process” makes me describe it—as if I am “full of broken thoughts I could not repair” (from the song Hurt originally by Nine Inch Nails and covered by Johnny Cash).

Eventually, you assemble a tale actually worth telling.  But even though you may be certain that the force is strong with this one, your tale is not a story yet. 

“Just like information isn’t knowledge until it’s understood,” as Lopp thoughtfully explains, “your tale isn’t a story until you give it to someone else—until they have a chance to see what they think about your inspiration.”

 

The Wisdom of the Social Media Crowd

One of my favorite books is The Wisdom of Crowds by James Surowiecki, which was originally published in 2004 (i.e., 2 B.T.E., two years “Before the Twitter Era”) before the real rise to prominence of social media.  Aspects of social media (such as blogging) were already prevalent at the time, but most of today's leading social networking tools were still in their nascent phase.

However, I believe many of Surowiecki's insights are very applicable to social media.  Take for example the four conditions that characterize wise crowds:

  1. Diversity of opinion
  2. Independence
  3. Decentralization
  4. Aggregation

Returning to Lopp's concept, it is social media's small bits of connective information tissue, gathered from diverse digital sources, acting as independent agents, lacking any centralized information authority, aggregated with your own knowledge, which you then construct into a story and share with others—that is The Wisdom of the Social Media Crowd.

 

Related Posts

The War of Word Craft

Will people still read in the future?

Brevity is the Soul of Social Media

 

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The Twitter Clockwork is NOT Orange

Recently, a Twitter-related tête à tête à tête involving David Carr of The New York Times, Nick Bilton of The New York Times, and George Packer of The New Yorker temporarily made both the Blogosphere all abuzz and the Twitterverse all atwitter.

This was simply another entry in the deeply polarizing debate between those for (Carr and Bilton) and against (Packer) Twitter.

 

A new decade of debate begins

On January 1, 2010, David Carr published his thoughts in the article Why Twitter Will Endure:

“By carefully curating the people you follow, Twitter becomes an always-on data stream from really bright people in their respective fields, whose tweets are often full of links to incredibly vital, timely information.”

. . . 

“Nearly a year in, I’ve come to understand that the real value of the service is listening to a wired collective voice.”

. . .

“At first, Twitter can be overwhelming, but think of it as a river of data rushing past that I dip a cup into every once in a while. Much of what I need to know is in that cup . . . I almost always learn about it first on Twitter.”

. . .

“All those riches do not come at zero cost: If you think e-mail and surfing can make time disappear, wait until you get ahold of Twitter, or more likely, it gets ahold of you.  There is always something more interesting on Twitter than whatever you happen to be working on.”

Carr goes on to quote Clay Shirky, author of the book Here Comes Everybody:

“It will be hard to wait out Twitter because it is lightweight, endlessly useful and gets better as more people use it.  Brands are using it, institutions are using it, and it is becoming a place where a lot of important conversations are being held.”

 

The most frightening picture of the future

On January 29, 2010, in his blog post Stop the World, George Packer declared that “the most frightening picture of the future that I’ve read thus far in the new decade has nothing to do with terrorism or banking or the world’s water reserves.”

What was the most frightening picture of the future that Packer had read less than a month into the new decade? 

The aforementioned article by David Carr—no, I am not kidding.

“Every time I hear about Twitter,” wrote Packer, “I want to yell Stop!  The notion of sending and getting brief updates to and from dozens or thousands of people every few minutes is an image from information hell.  I’m told that Twitter is a river into which I can dip my cup whenever I want.  But that supposes we’re all kneeling on the banks.  In fact, if you’re at all like me, you’re trying to keep your footing out in midstream, with the water level always dangerously close to your nostrils.  Twitter sounds less like sipping than drowning.”

Someone who admits that he has, in fact, never even used Twitter, continued with a crack addiction analogy:

“Who doesn’t want to be taken out of the boredom or sameness or pain of the present at any given moment?  That’s what drugs are for, and that’s why people become addicted to them. 

Carr himself was once a crack addict (he wrote about it in The Night of the Gun).  Twitter is crack for media addicts. 

It scares me, not because I’m morally superior to it, but because I don’t think I could handle it.  I’m afraid I’d end up letting my son go hungry.”

 

“Call me a digital crack dealer”

On February 3, 2010, in his blog post, The Twitter Train Has Left the Station, Nick Bilton responded:

“Call me a digital crack dealer, but here’s why Twitter is a vital part of the information economy—and why Mr. Packer and other doubters ought to at least give it a Tweet:

Hundreds of thousands of people now rely on Twitter every day for their business.  Food trucks and restaurants around the world tell patrons about daily food specials.  Corporations use the service to handle customer service issues.  Starbucks, Dell, Ford, JetBlue and many more companies use Twitter to offer discounts and coupons to their customers.  Public relations firms, ad agencies, schools, the State Department—even President Obama—use Twitter and other social networks to share information.”

. . .

“Most importantly, Twitter is transforming the nature of news, the industry from which Mr. Packer reaps his paycheck.  The news media are going through their most robust transformation since the dawn of the printing press, in large part due to the Internet and services like Twitter.  After this metamorphosis takes place, everyone will benefit from the information moving swiftly around the globe.”

Bilton concludes his post with a train analogy:

“Ironically, Mr. Packer notes how much he treasures his Amtrak rides in the quiet car of the train, with his laptop closed and cellphone turned off.  As I’ve found in previous research, when trains were a new technology 150 years ago, some journalists and intellectuals worried about the destruction that the railroads would bring to society.  One news article at the time warned that trains would ‘blight crops with their smoke, terrorize livestock … and people could asphyxiate’ if they traveled on them.

I wonder if, 150 years ago, Mr. Packer would be riding the train at all, or if he would have stayed home, afraid to engage in an evolving society and demanding that the trains be stopped.”

 

Our apparent appetite for our own destruction

On February 4, 2010, in his blog post Neither Luddite nor Biltonite, George Packer responded:

“It’s true that I hadn’t used Twitter (not consciously, anyway—my editors inform me that this blog has for some time had an automated Twitter feed).  I haven’t used crack, either, but—as a Bilton reader pointed out—you don’t need to do the drug to understand the effects.”

. . .

“Just about everyone I know complains about the same thing when they’re being honest—including, maybe especially, people whose business is reading and writing.  They mourn the loss of books and the loss of time for books.  It’s no less true of me, which is why I’m trying to place a few limits on the flood of information that I allow into my head.”

. . .

“There’s no way for readers to be online, surfing, e-mailing, posting, tweeting, reading tweets, and soon enough doing the thing that will come after Twitter, without paying a high price in available time, attention span, reading comprehension, and experience of the immediately surrounding world.  The Internet and the devices it’s spawned are systematically changing our intellectual activities with breathtaking speed, and more profoundly than over the past seven centuries combined.  It shouldn’t be an act of heresy to ask about the trade-offs that come with this revolution.”

. . .

“The response to my post tells me that techno-worship is a triumphalist and intolerant cult that doesn’t like to be asked questions.  If a Luddite is someone who fears and hates all technological change, a Biltonite is someone who celebrates all technological change: because we can, we must.  I’d like to think that in 1860 I would have been an early train passenger, but I’d also like to think that in 1960 I’d have urged my wife to go off Thalidomide.”

. . .

“American newspapers and magazines will continue to die by the dozen.  The economic basis for reporting (as opposed to information-sharing, posting, and Tweeting) will continue to erode.  You have to be a truly hard-core techno-worshipper to call this robust.  Any journalist who cheerleads uncritically for Twitter is essentially asking for his own destruction.”

. . .

“It’s true that Bilton will have news updates within seconds that reach me after minutes or hours or even days. 

It’s a trade-off I can live with.”

Packer concludes his post by quoting the end of G. B. Trudeau's book My Shorts R Bunching. Thoughts?:

“The time you spend reading this tweet is gone, lost forever, carrying you closer to death.  Am trying not to abuse the privilege.”

 

The Twitter Clockwork is NOT Orange

A Clockwork Orange

The primary propaganda used by the anti-Twitter lunatic fringe is comparing the microblogging and social networking service to that disturbing scene (pictured above) from the movie A Clockwork Orange, where you are confined within a straight jacket, your head strapped into a restraining chair preventing you from looking away, your eyes clamped to remain open—and you are forced to stare endlessly into the abyss of the cultural apocalypse that the Twitterverse is apparently supposed to represent.

You can feel free to call me a Biltonite, because I obviously agree far more with Bilton and Carr—and not with Packer.

Of course, I recommend you read all four of the articles/posts I linked to and selectively quoted above.  Especially Carr's article, which was far more balanced than either my quotes or Packer's posts reflect. 

 

Social Media Will Endure

We continue to witness the decline of print media and the corresponding evolution of social media.  I completely understand why Packer (and others with a vested interest in print media) want to believe social media is a revolution that must be put down. 

Hence the outrageous exaggerations Packer uses when comparing Twitter with drug abuse (crack cocaine) and the truly offensive remark of comparing Twitter with one of the worst medical tragedies in modern history (Thalidomide). 

I believe the primary reason that social media will endure, beyond our increasing interest in exchanging what has traditionally been only a broadcast medium (print media) for a conversation medium, is because it is enabling our communication to return to the more direct and immediate forms of information sharing that existed even before the evolution of written language.

Social media is an evolution and not a revolution being forced upon society by unrelenting technological advancements and techno-worship.  In many ways, social media is not a new concept at all—technology has simply finally caught up with us.

Humans have always been “social” by our very nature.  We have always thrived on connection, conversation, and community. 

Social media is rapidly evolving.  Therefore, specific services like Twitter may be replaced (or Twitter may continue to evolve). 

However, the essence of social media will endure—but the same can't be said of Packerites (neo-Luddites like George Packer).

 

What Say You?

Please share your thoughts on this debate by posting a comment below. 

Or you can share your thoughts with me on Twitter—which reminds me, it's time for me to be strapped back into the chair . . .

Commendable Comments (Part 5)

 Thank You

Photo via Flickr (Creative Commons License) by: toettoet

Welcome to the 100th Obsessive-Compulsive Data Quality (OCDQ) blog post!

Absolutely without question, there is no better way to commemorate this milestone other than to also make this the 5th entry in my ongoing series for expressing my gratitude to my readers for their truly commendable comments on my blog posts. 

 

Commendable Comments

On Will people still read in the future?, Don Frederiksen commented:

I had an opportunity to study and write about informal learning in the past year and one concept that resonated with me was the notion of Personal Learning Environments (PLE).

In the context of your post, I would regard reading as one element of my PLE, i.e., a method for processing content.  One power of the PLE is that you can control your content, process, objectives, and tools. 

Your PLE will also vary depending on where you are and even with the type of access you have.

For example, I have just spent the last two days without WiFi.  As frustrated as I was, I adapted my PLE based on that scenario.  This morning, I'm sitting in McDonald's drinking coffee but wasn't in a place to watch your video.  (Thank goodness you posted text.)

Even without my current location as a factor, I don't always watch videos or listen to podcasts because I have less control of the content and/or pace.

In regards to your questions, I like books, I read e-books, online content, occasional video, audio books, and Kindle on the iPhone.  Combine these items with TweetDeck, Google Reader, the paper version of the Minneapolis Star Tribune, Amazon, and the Public Library, and you have identified the regular components of my PLE.  To me the tools and process will vary based on my situation.

I also recognize that other people will most likely employ different tools and processes.  The richness of our environment may suggest a decline in reading, but in the end it all comes down to different strokes for different folks.  Everyone motivated to learn can create their own PLE.”

On Shut Your Mouth, Augusto Albeghi (aka Stray__Cat) commented:

“In my opinion, this is a very slippery slope.

This post is true in a world of good-hearted people where everyone wants the best for the team. 

In the real world, the consultant is someone to blame for every problem the project encounters, e.g., they shut their mouth, they'll never be able to stand the critique and will be fired soon.

The better situation is to have expressed a clear recommendation, and if the the customer chooses not to follow it, then the consultant is formally shielded from any form of critique.

The consultant is likely to be caught in no man's land between opposing factions of the project, and must be able to take the right side by a clear statement.  Some customers ask the consultant what's the best thing to do, in order to blame the consultant instead of themselves if something goes wrong.

However, even given all of this, the advice to listen carefully to the customer is still absolutely the #1 lesson that a consultant must learn.”

On OOBE-DQ, Where Are You?, Jill Wanless (aka Sheezaredhead) commented:

“For us, the whole ‘ease of use’ vs. powerful functionality’ debate was included in the business case for the purchase.  We identified the business requirements, included pros and cons of ease of use vs. functionality and made vendor recommendations based on the results of the pros vs. cons vs. requirements.

Also important to note, and included in our business case, was to question if the ease of use requires an intensive effort or costly training program, especially if your goal is to engage business users.

So to answer your questions, I would say if you have your requirements identified, and you do your homework on the benefits/risks/costs of the software, you should have all the information you need to make a logical decision based on the present situation.

Which, of course, will change somewhere down the line as everything does.

And for goodness sake (did I say goodness?), when things do change, always start with identifying the requirements.  Never assume the requirements are the same as they used to be.”

On OOBE-DQ, Where Are You?, Dylan Jones commented:

I think the most important trend in recent years is where vendors are really starting to understand how data quality workflows should integrate with the knowledge workforce.

I'm seeing several products really get this and create simple user interfaces and functions based on the role of the knowledge worker involved.  These tools have a great balance between usable interface for business specific roles but also a great deal of power features under the bonnet.  That is the software I typically recommend but again it is also about budget, these solutions may be too expensive for some organizations.

There is a danger here though of adding powerful features to knowledge workers who don't fully understand the ramifications of committing those updates to that master customer list.  I still think we'll see IT playing a major role in the data quality process for some time to come, despite the business-focused marketing we're seeing in vendor land.”

On The Dumb and Dumber Guide to Data Quality, Monis Iqbal commented:

Pretty convincing post for those allergic to long term corrective measures.

And this spawns another question and that is directed towards software developers who come and work on a product/project involving data manipulation and maintaining the quality of the data but aren't that concerned because they did their job of developing the product and then move on to another assignment.

I know I may be repeating the same arguments as presented in your post (Business vs IT) but these developers did care that the project handles data correctly and yet they aren't concerned about quality in the long term, however the person running the business is.

My point is that although data quality can only be achieved when both parties join hands together, I think it is the stakeholder who has to enforce it during all stages of the project lifecycle.”

Thank You

In this brief OCDQ Video, I express my gratitude to all of my readers for helping me reach my 100th blog post.

 

If you are having trouble viewing this video, then you can watch it on Vimeo by clicking on this link: OCDQ Video

 

Thanks for your comment

Blogging has made the digital version of my world much smaller and allowed my writing to reach parts of the world it wouldn’t otherwise have been able to reach.  My native language is English, which is also the only language I am fluent in. 

However, with lots of help from both my readers as well as Google Translate, I have been trying to at least learn how to write “Thanks for your comment” in as many languages as possible.

Here is the list (in alphabetical order by language) that I have compiled so far:

  • Afrikaans – Dankie vir jou kommentaar
  • Croatian – Hvala na komentaru
  • Danish – Tak for din kommentar
  • Dutch – Bedankt voor je opmerking
  • French – Merci pour votre commentaire
  • German – Danke für Deine Anmerkung
  • Italian – Grazie per il tuo commento
  • Norwegian – Takk for din kommentar
  • Portuguese – Obrigado pelo seu comentário
  • Spanish – Gracias por tu comentario
  • Swedish – Tack för din kommentar
  • Welsh – Diolch yn fawr am eich sylw chi

Please help continue my education by adding to (or correcting) the above list by posting a comment below.

 

Related Posts

Commendable Comments (Part 1)

Commendable Comments (Part 2)

Commendable Comments (Part 3)

Commendable Comments (Part 4)

Recently Read: January 23, 2010

Recently Read is an OCDQ regular segment.  Each entry provides links to blog posts, articles, books, and other material I found interesting enough to share.  Please note “recently read” is literal – therefore what I share wasn't necessarily recently published.

 

Data Quality

For simplicity, “Data Quality” also includes Data Governance, Master Data Management, and Business Intelligence.

  • Data Quality Blog Roundup - December 2009 Edition – Data Quality Pro always provides a great collection of the previous month's best blog posts, this particular entry covers my data quality “recently reads” from before the start of the new year.

     

  • Hostile Environment Data Harassment – Phil Simon discusses the common tendency for an organization's culture to not only compartmentalize data issues, but also tolerate “data carelessness” and irresponsibility.

     

  • Data Profiling For All The Right Reasons, Part 1 – In this Hub Designs Blog guest post, Rob DuMoulin begins a tool-agnostic five-part series about data profiling using psychology and Jungian word association analysis.

     

  • Personal Data – an Asset we hold on Trust – Daragh O Brien shares an intriguing case study about data protection, and discusses the key stages and data protection principles in the Information Asset Life Cycle.

     

  • Standardizing Data Migration – Evan Levy uses a motion picture industry analogy to suggest establishing a separate functional team that’s responsible for data packaging and distribution.

     

  • A Data Quality Riot Act – Rob Paller shares a great real-world example of data quality challenges even when an enterprise system is well-designed with protocols specifically put in place to ensure proper data management and data quality.

     

  • What is a MDM Strategy – Charles Blyth channels the ancient wisdom of Sun Tzu to explain that an MDM strategy is the overarching governance that defines the goals, reasons, approach and standards of its individual initiatives.

     

  • Data Quality issue in my new database - or so we thought... – Rich Murnane shares an interesting real-world example of how not every apparent data problem turns out to be an actual data quality issue.

     

  • Diversity in City Names – Henrik Liliendahl Sørensen explains the challenges inherit in global data quality using the example of the many ways that the city of Copenhagen, Denmark can be represented due to linguistic variations.

     

  • How data quality derives from meta data – Rayk Fenske examines the relationship between data quality management and metadata management by discussing directed functional dependency as well as a hierarchy in requirements.

     

  • The Quality Gap: Why Being On-Time Isn’t Enough – Jill Dyché discusses the all-too-common tendency to emphasize efficiency over effectiveness in enterprise project management, where everything is date-driven and not quality-driven.

     

  • Name Patterns and Parsing – David Loshin explains that personal names, although conceptually straightforward, are beset by many interesting pattern variations, making them a very daunting data quality challenge. 

     

  • A true story of how data quality issues can cripple a business – Graham Rhind shares a remarkable real-world example that illustrates very well the effect poor data quality (and lack of information quality) can have at every level of an organization.

     

  • WANTED: Data Quality Change Agents – Dylan Jones explains the key traits required of all data quality change agents, including a positive attitude, a willingness to ask questions, innovation advocating, and persuasive evangelism.

     

  • The Power of Slow - Paul Boal begins an excellent series about slow by explaining that a proper understanding of slow truly reveals it is the far more efficient approach—and not just for data quality. 

     

  • Data vs. Facts, Illustrated - Mark Graban discusses the common problem of relying too much on reports and dashboards without verification of the underlying data—and shares a hilarious picture to illustrate the point.   

     

  • The Value of Data – Marty Moseley discusses the core issue that most businesses still do not understand the value of data to their organizations, and shares some findings from a recent data governance survey.

     

  • ETL, Data Quality and MDM for Mid-sized Business – Steve Sarsfield on challenges of investing in enterprise software faced by small to medium sized businesses, and opportunities in the freemium model of open source alternatives such as Talend.

     

  • Beyond Data Ownership to Information Sharing – Joe Andrieu provides an interesting look at the often polarizing topics of data ownership, data privacy, and information sharing, explaining that we want to share our information, on our terms, protect our interests, and enable service providers to do truly amazing things for us and on our behalf. 

     

  • The Great Expectations of BI – Promising new blogger Phil Wright provides an excellent Dickensian inspired explanation of why, in many organizations, business intelligence doesn't live up to its great expectations.   

 

Social Media

For simplicity, “Social Media” also includes Blogging, Writing, Social Networking, and Online Marketing.

 

Book Quotes

An eclectic list of quotes from some recently read (and/or simply my favorite) books.

  • From Confessions of a Public Speaker by Scott Berkun – “Expressing ideas is often the only way to fully understand what ideas are, and to know what it is you really think.  Expression makes learning from the criticism of others possible, and I'm happy to look like a fool if in return I learn something I wouldn't have learned any other way.”

     

  • From The Dip: A Little Book That Teaches You When to Quit (and When to Stick) by Seth Godin – “The opportunity cost of investing your life in something that's not going to get better is just too high.”

     

  • From Six Pixels of Separation: Everyone Is Connected. Connect Your Business to Everyone. by Mitch Joel – “It's no longer about how much budget you dump into advertising and PR in hopes that people will see and respond to your messaging.  The new online channels will work for you as long as you are working for them by adding value, your voice, and the ability for your consumers to connect, engage, and take part.  This new economy is driven by your time vested—and not by your money invested.”

Video: Twitter #FollowFriday – January 15, 2010

In this OCDQ Video, I broadcast (from within The Tweet-rix) my Twitter FollowFriday recommendations for January 15, 2010.

 

If you are having trouble viewing this video, then you can watch it on Vimeo by clicking on this link: OCDQ Video

 

Tweeps mentioned in the video:

 

Related Posts

If you tweet away, I will follow

Video: Twitter Search Tutorial

Live-Tweeting: Data Governance

Brevity is the Soul of Social Media

Tweet 2001: A Social Media Odyssey

So Long 2009, and Thanks for All the . . .

Before I look ahead to the coming New Year and wonder what it may (or may not) bring, I wanted to pause, reflect on, and in the following OCDQ Video, share some of the many joys I was thankful for 2009 bringing to me.

If you are having trouble viewing this video, then you can watch it on Vimeo by clicking on this link: OCDQ Video

 

Thank You

Thank you all—and I do mean every single one of you—thank you for everything.

Happy New Year!!!

Recently Read: December 21, 2009

Recently Read is an OCDQ regular segment.  Each entry provides links to blog posts, articles, books, and other material I found interesting enough to share.  Please note “recently read” is literal – therefore what I share wasn't necessarily recently published.

 

Data Quality

For simplicity, “Data Quality” also includes Data Governance, Master Data Management, and Business Intelligence.

  • Welcome to DQ Directions – In this blog post, Dylan Jones of Data Quality Pro formally announced the DQ Directions online conference, which will debut in Q2 2010, and will feature presentations from experts and industry thought leaders specializing in data quality, data governance, and master data management.

     

  • Ways to 'Communivate' your Data Issues – In her Purple Cow of a blog post, Jill Wanless (aka Sheezaredhead) explains that ‘Communivate’ is a combination of the words communicate and innovate, and it means to communicate in an innovative way, which she does regarding the importance of data quality.

     

  • ’Tis the Season for a Data Governance Carol – Part 1 and Part 2 – In his excellent two-part series, Rob Paller of Baseline Consulting uses a Dickensian framework to explain the importance of data governance and data quality – and the fact that there isn’t a simple framework to blindly follow for Data Governance.

     

  • The “Santa Intelligence” Team – An excellent Christmas-themed blog post from Paul Boal, in which we learn that Santa does indeed have a Business Intelligence team.

     

  • Data quality is for life not just for Christmas – In this Diary of a Marketing Insight Guy blog post, Simon Daniels reminds us data quality can be a gift that will keep on giving—if data quality management is built into the heart of an organization’s processes and operations.

     

  • Finding a home for MDM – In his second post on the DataFlux Community of Experts, Charles Blyth examines where master data management (MDM) fits within your overall enterprise architecture.

     

  • The Decade of Data: Seven Trends to Watch in 2010 – In his blog post on Informatica Perspectives, Joe McKendrick examines some up-and-coming trends that he predicts will shape the data management space in 2010.

     

  • Are we ready for all this data? – In his blog post, Rich Murnane uses some recent news stories to ponder if even us experienced data geeks are really ready for the amount of data we're going to need to manage due to the unrelenting increases in data volumes.

 

Social Media

For simplicity, “Social Media” also includes Blogging, Writing, Social Networking, and Online Marketing.

 

Book Quotes

An eclectic list of quotes from some recently read (and/or simply my favorite) books.

  • From Crush It! by Gary Vaynerchuk – “Your business and your personal brand need to be one and the same...Your latest tweet and comment on Facebook and most recent blog post—that's your résumé now...It's a whole new world, build your personal brand and get ready for it.”

     

  • From A Whole New Mind by Daniel Pink – “Empathy is neither a deviation from intelligence nor the single route to it.  Sometimes we need detachment; many other times we need attachment.  The people who will thrive will be those who can toggle between the two.” 

     

  • From Connected by Nicholas Christakis and James Fowler – “Just as brains can do things that no single neuron can do, so can social networks do things that no single person can do...our connections to other people matter...most of all it is about what makes us uniquely human...To know who we are, we must understand how we are connected.”

Recently Read: December 7, 2009

Recently Read is an OCDQ regular segment.  Each entry provides links to blog posts, articles, books, and other material I found interesting enough to share.  Please note “recently read” is literal – therefore what I share wasn't necessarily recently published.

 

Data Quality

For simplicity, “Data Quality” also includes Data Governance, Master Data Management, and Business Intelligence.

  • Data Quality Blog Roundup - November 2009 Edition – Dylan Jones at Data Quality Pro always provides a great collection of the previous month's best blog posts, which covers most of the my “recently reads” for data quality.

     

  • The value of Christmas cards – In this Data Value Talk blog post from Human Inference, we learn about how sending Christmas cards can optimize your data quality.

     

  • Santa Quality – Yes, Virginia, there is a Santa Claus—as well as a Saint Nicholas, a Père Noël, a Weihnachtsmann, and a Julemand.  In this blog post, Henrik Liliendahl Sørensen explains some ho-ho-holiday data quality issues.

     

  • Some TLC for Your Data – Data really needs some tender loving care.  Daniel Gent explains in his latest blog post.

     

  • Determining data quality is the first key step – In the second part of a blog series on data migration, James Standen explains that a data migration project will be required to actually improve data quality at the same time, and therefore it is really two projects in one.  The post contains the great line: “data quality sense tingling.”

     

  • Data Chaos and Five Truisms of Data Quality – In his debut post on the DataFlux Community of Experts, my good friend Phil Simon provides a quick case study and five universal truths of data quality.

 

Social Media

For simplicity, “Social Media” also includes Blogging, Writing, Social Networking, and Online Marketing.

 

Awesome Stuff

An eclectic list of articles, blog posts, and other “non-data quality, non-social media, but still awesome” stuff.

  • The Greatest Book Of All Time? – Josh Hanagarne (a.k.a. the “World’s Strongest Librarian”) recently reviewed a book he received from Ethan.  Josh has a simple philosophy of life — “Don’t make anyone’s day worse” — if you are having a bad day (like I was the day I found this), then check this out.

     

  • Cute Apple parody from The Sun – Rob Beschizza on Boing Boing shares a great one minute video of a recent commercial from The Sun about “The UK's best handheld for 40 years.”


Recently Read: November 28, 2009

Recently Read is an OCDQ regular segment.  Each entry provides links to blog posts, articles, books, and other material I found interesting enough to share.  Please note “recently read” is literal – therefore what I share wasn't necessarily recently published.

 

Data Quality Blog Posts

For simplicity, “Data Quality” also includes Data Governance, Master Data Management, and Business Intelligence.

 

Social Media Blog Posts

For simplicity, “Social Media” also includes Blogging, Social Networking, and Online Marketing.

 

Book Quotes

An eclectic list of quotes from some recently read (and/or simply my favorite) books.

  • From The Wisdom of Crowds by James Surowiecki – “Refuse to allow the merit of an idea to be determined by the status of the person advocating it.”

     

  • From Purple Cow by Seth Godin – “We mistakenly believe that criticism leads to failure.”

     

  • From How We Decide by Jonah Lehrer – “The best decision-makers don't despair.  Instead, they become students of error, determined to learn from what went wrong.”

     

  • From The Whuffie Factor by Tara Hunt – “Whuffie is the residual outcome—the currency—of your reputation.  You lose or gain it based on positive or negative actions, your contributions to the community, and what people think of you.”

     

  • From Trust Agents by Chris Brogan and Julien Smith – “You accrue social capital as a side benefit of doing good, but doing good by itself is its own reward.”

Commendable Comments (Part 4)

Thanksgiving

Photo via Flickr (Creative Commons License) by: ella_marie 

Today is Thanksgiving Day, which is a United States holiday with a long and varied history.  The most consistent themes remain family and friends gathering together to share a large meal and express their gratitude.

This is the fourth entry in my ongoing series for expressing my gratitude to my readers for their truly commendable comments on my blog posts.  Receiving comments is the most rewarding aspect of my blogging experience.  Although I am truly grateful to all of my readers, I am most grateful to my commenting readers. 

 

Commendable Comments

On Days Without A Data Quality Issue, Steve Sarsfield commented:

“Data quality issues probably occur on some scale in most companies every day.  As long as you qualify what is and isn't a data quality issue, this gets back to what the company thinks is an acceptable level of data quality.

I've always advocated aggregating data quality scores to form business metrics.  For example, what data quality metrics would you combine to ensure that customers can always be contacted in case of an upgrade, recall or new product offering?  If you track the aggregation, it gives you more of a business feel.”

On Customer Incognita, Daragh O Brien commented:

“Back when I was with the phone company I was (by default) the guardian of the definition of a 'Customer'.  Basically I think they asked for volunteers to step forward and I was busy tying my shoelace when the other 11,000 people in the company as one entity took a large step backwards.

I found that the best way to get a definition of a customer was to lock the relevant stakeholders in a room and keep asking 'What' and 'Why'. 

My 'data modeling' methodology was simple.  Find out what the things were that were important to the business operation, define each thing in English without a reference to itself, and then we played the 'Yes/No Game Show' to figure out how that entity linked to other things and what the attributes of that thing were.

Much to IT's confusion, I insisted that the definition needed to be a living thing, not carved in two stone tablets we'd lug down from on top of the mountain. 

However, because of the approach that had been taken we found that when new requirements were raised (27 from one stakeholder), the model accommodated all of them either through an expansion of a description or the addition of a piece of reference data to part of the model.

Fast-forward a few months from the modeling exercise.  I was asked by IT to demo the model to a newly acquired subsidiary.  It was a significantly different business.  I played the 'Yes/No Game Show' with them for a day.  The model fitted their needs with just a minor tweak. 

The IT team from the subsidiary wanted to know how had I gone about normalizing the data to come up with the model, which is kind of like cutting up a perfectly good apple pie to find out how what an apple is and how to make pastry.

What I found about the 'Yes/No Game Show' approach was that it made people open up their thinking a bit, but it took some discipline and perseverance on my part to keep asking what and why.  Luckily, having spent most of the previous few years trying to get these people to think seriously about data quality they already thought I was a moron so they were accommodating to me.

A key learning for me out of the whole thing is that, even if you are doing a data management exercise for a part of a larger business, you need to approach it in a way that can be evolved and continuously improved to ensure quality across the entire organization. 

Also, it highlighted the fallacy of assuming that a company can only have one kind of customer.”

On The Once and Future Data Quality Expert, Dylan Jones commented:

“I recently attended a conference and sat in on a panel that discussed some of the future trends, such as cloud computing.  It was a great discussion, highly polarized, and as I came home I thought about how far we've come as a profession but more importantly, how much more there is to do.

The reality is that the world is changing, the volumes of data held by businesses are immense and growing exponentially, our desire for new forms of information delivery insatiable, and the opportunities for innovation boundless.

I really believe we're not innovating as an industry anything like we should be.  The cloud, as an example, offers massive opportunities for a range of data quality services but I've certainly not read anything in the media or press that indicates someone is capitalizing on this.

There are a few recent data quality technology innovations which have caught my eye, but I also think there is so much more vendors should be doing.

On the personal side of the profession, I think online education is where we're headed.  The concept of localized training is now being replaced by online learning.  With the Internet you can now train people on every continent, so why aren't more people going down this route?

I find it incredibly ironic when I speak to data quality specialists who admit that 'they don't have the first clue about all this social media stuff.'  This is the next generation of information management, it's here right now, they should be embracing it.  I think if you're a 'guru' author, trainer or consultant you need to think of new ways to engage with your clients/trainees using the tools available.

What worries me is that the growth of information doesn't match the maturity and growth of our profession.  For example, we really need more people who can articulate the value of what we can offer. 

Ted Friedman made a great point on Twitter recently when he talked about how people should stop moaning about executives that 'don't get it' and instead focus on improving ways to demonstrate the value of data quality improvement.

Just because we've come a long way doesn't mean we know it all, there is still a hell of a long way to go.”

Thanks for giving your comments

Thank you very much for giving your comments and sharing your perspectives with our collablogaunity.  Since there have been so many commendable comments, please don't be offended if your commendable comment hasn't been featured yet. 

Please keep on commenting and stay tuned for future entries in the series. 

 

Related Posts

Commendable Comments (Part 1)

Commendable Comments (Part 2)

Commendable Comments (Part 3)

Brevity is the Soul of Social Media

“Why day is day, night night, and time is time,
Were nothing but to waste night, day and time.
Therefore, since brevity is the soul of wit,
I will be brief ...”

Within the wide world of social media, one of the most common features is some form of social networking, microblogging, or short message service that allow users to share brief status updates.  Some social media sites are almost entirely built on only this feature (e.g., Twitter) whereas others (e.g., Facebook, LinkedIn) include it among a list of many other features. 

Either way, these status updates have created a rather pithy platform many people argue is incompatible with meaningful communication, especially of a professional nature.  I must admit this was also my initial opinion of social media.

However, I now believe not only is it the soul of wit, brevity is the soul of social media – and, in fact, a very good soul.

 

Short Attention Span Theater

I doubt attention deficit will still be considered a disorder ten years from now.  We are living increasingly faster-paced lives in an increasingly faster-paced world.  The pervasiveness of the Internet and the rapid proliferation of powerful mobile technology is making our world a smaller and smaller place and our lives a more and more crowded space. 

We have become so accustomed to multi-tasking that the very concept of focusing our attention on only one thing at a time somehow seems inherently wrong to us.  All the world's a stage within this short attention span theater.  And all of us are not merely players, we have been cast in several simultaneous roles.

Time management has always been important, but nowadays it is even more essential.  This is especially true when it comes to social media, which, if we can effectively and efficiently use it, has great personal and professional potential.  Amber Naslund recently provided an excellent blog series on social media time management that I highly recommend.

 

The Power of Pith

I admit I am a long-winded talker or, as a favorite (canceled) television show would say, “conversationally anal-retentive.”  In the past (slightly less now), I was also known for e-mail messages even Leo Tolstoy would declare to be far too long.

Therefore, it may be surprising to learn I am addicted to Twitter.  How could I possibly constrain myself to only 140 characters?  No, I don't use ellipses to extend my thoughts across multiple tweets (although I admit I am often tempted to do so). 

I wholeheartedly agree with Jennifer Blanchard, who explained how Twitter makes you a better writer.  When forced to be concise, you have to focus on exactly what you want to say, using as few words as possible. 

The power of pith means reducing your message to its bare essence.  In order to engage in effective dialogue on the stage of our short attention span theater, this is a required skill we all must master – and not just when we are on Twitter.

For those who argue this simply regresses human communication back to our days of monosyllabic grunting, I invite you to read the excellent recent blog post Is Twitter a Complex Adaptive System? written by Venessa Miemis

Although you should read all of it, the point I need here will be found under Insight #4 toward the end of the post.  Miemis shares a study that reveals using Twitter can not only improve communication, but actually build intelligence. 

The collaborative communication enabled by social media platforms can actually contribute to a growing collective intelligence made up of all of us.  The power of pith is the wisdom of crowds.

 

Blogging with Brevity

Brevity is the soul of all social media and yes, this includes blogging as well.  Some view blogging as social media's last bastion of robust communication.  You can take your time and use all the words you want on your blog, right?  Sure, as long as you have no interest in anyone actually reading your blog.

Some bloggers get cranky with me when I emphasize the Three C’s – meaning your blog posts should be:

  1. Clear – Get to the point and stay on point
  2. Concise – No longer than necessary
  3. Consumable – Formatted to be easily read on a computer screen

Concise is usually the main cranky causing culprit because everyone interprets it to mean “write really short posts.” 

One blogger told me he has “never met a subordinate clause he didn't like,” thereby expressing his fondness for writing compound-complex sentences.  For the non-writers, this means really long (but grammatically correct) sentences oftentimes requiring you to read them three or four times before truly comprehending their full meaning.

Don't get me wrong.  This particular blogger is an incredibly gifted writer known for his absolutely brilliant blog posts.  My only true criticism of his writing style is it truly requires a significant time commitment.

Michelle Russell does a great job explaining how to write with a knife.  No, not literally.  Writing with a knife means writing for yourself, but editing for your readers.  Editing is the hardest part of writing, but also the most important. 

Blogging with brevity doesn't necessarily mean “write really short posts.”  Being concise simply means taking out anything that doesn't need to be included.  For example, you really didn't need to read the additional jokes and Shakespearean references included in the first draft of this post.

 

The Future of Brevity is Bright

Some predict the size limits of message service standards and status updates will be increased.  Others predict new social media platforms will be based on different paradigms.  Either way, innovation will eventually deliver an ability to be more verbose.

However, barring some major scientific breakthrough (or some major breakdown in the space-time continuum), there will still only be 24 hours in a day.  Therefore, no matter what happens, I am certain the future of brevity is bright.

Neither the world nor people in it are likely to slow down.  Our attention spans will remain short.  Our time management skills will remain vigilant.  We will communicate through the power of pith, brevity will remain the soul of both wit and social media, and hopefully, we will all “live long and prosper.”

 

Related Posts

The Mullet Blogging Manifesto

Collablogaunity

Podcast: Your Blog, Your Voice

Collablogaunity

The meteoric rise of the Internet coupled with social media has created an amazing medium that is enabling people who are separated by vast distances and disparate cultures to come together, communicate, and collaborate in ways few would have thought possible just a few decades ago.  Blogging, especially when effectively integrated with social networking, can be one of the most powerful aspects of social media.

The great advantage to blogging as a medium, as opposed to books, newspapers, magazines, and even presentations, is that blogging is not just about broadcasting a message. 

This is not to say that books, newspapers, and magazines aren't useful (they certainly can be) or that presentations lack an interactive component (they certainly should not).  I simply believe that, when done well, blogging better facilities effective communication by starting a conversation, encouraging collaboration, and fostering a true sense of community.

Mashing together the words collaboration, blog, and community, I use the term collablogaunity — which is pronounced “Call a Blog a Unity” — to describe how remarkable blogs do this remarkably well.

 

Conversation

Blogging is a conversation — with your readers. 

I love the sound of my own voice and I talk to myself all the time (even in public).  However, the two-way conversation that blogging provides via comments from my readers greatly improves the quality of my blog content —  because it helps me better appreciate the difference between what I know and what I only think I know.

Without comments, the conversation is only one way.  Engaging readers in dialogue and discussion allows some of your points to be made for you by those who take the time to comment as opposed to you just telling everyone how you see the world.

Blogging isn't about using the Internet as your own personal bullhorn for broadcasting your message.  In her wonderful book The Whuffie Factor, Tara Hunt explains that you really need to:

“Turn the bullhorn around: stop talking, start listening, and create continuous conversations.”

Respond to the comments you receive (but never feed the troll).  You don't have to respond immediately.  Sometimes, the conversation will go more smoothly without your involvement as your readers talk amongst themselves.  Other times, your response will help continue the conversation and encourage participation from others. 

Always demonstrate that feedback is both welcome and appreciated.  Make sure to never talk down to your readers (either in your blog post or your comment responses).  It is perfectly fine to disagree and debate, just don't denigrate.  

In a recent guest post on ProBlogger, Rob McPhillips explained: 

“If instead, you are all the time only seeking praise and approval from everyone, then there is nothing solid, consistent or certain about your blog and so ultimately it will never gather a sizeable core of die hard fans.  Only drive by readers who scan a post and never look back.” 

Collaboration

Blogging is a collaboration — with other bloggers.

While conversation is primarily between you and your readers, collaboration is primarily between you and other bloggers.  Although you may be inclined to view other bloggers as “the competition,” especially those within your own niche, this would be a mistake.  Yes, it is true that blogs are competing with each other for readers.  However, sustainable success is achieved through collaboration and friendly competition with your peers.

Brian Clark has explained in the past and continues to exemplify that strategic collaboration is the secret to 21st century success.  Clark has stated that if he had to reduce his recipe for success to just three ingredients, it would be content, copywriting, and collaboration.  And if he had to give up two of those, then he'd keep collaboration.

In their terrific book Trust Agents, Chris Brogan and Julien Smith explain that although people in most cultures view themselves as the central hero in their life's story, the reality is that you need to build an army because you can't do it all alone.

Collaboration between bloggers is mainly about networking and cross-promotion.  You should network with other bloggers, especially those within your own niche.  This can be accomplished a number of ways including e-mail introductions, Twitter direct messages (if the other blogger is following you), LinkedIn connection requests, or Facebook friend requests.

As with any networking, the most important thing is being genuine.  As Darren Rowse and Chris Garrett explained in their highly recommended ProBlogger book, when you network with other bloggers, keep it real, be specific, keep it brief without being rude, and explain why you are interested in connecting.  They rightfully emphasize the importance of that last point.

As we all know, although content may be king, marketing is queen.  Networking with other bloggers can help you get the word out about your brilliant blog and its penchant for publishing posts that everyone must read.  Adding other bloggers to your blogroll, linking to their posts when applicable to your content, and leaving meaningful comments on their posts are not only recommended best practices of netiquette, they are also just the right thing to do.

Too many bloggers have a selfish networking and marketing strategy.  They only promote their own content and then wonder why nobody reads their blog.  I am fond of referring to all social media as Social Karma.  Focus on helping other bloggers promote their content and they will likely be more willing to return the favor.  However, don't misunderstand this technique to be a pathetic peer pressure tactic in other words, I re-tweeted your blog post, why didn't you re-tweet my blog post?

One last point on collaboration is to set realistic expectations — for others and for yourself.  You should definitely try to help others when you can.  However, you simply can't help everyone.  Don't let people take advantage of your generosity. 

Politely, but firmly, say no when you need to say no.  Also extend the same courtesy to other people when they turn you down (or simply ignore you) when you try to connect with them or when you ask them for their help. 

Mean and selfish people definitely suck.  But let's face it, nobody's perfect — we all have bad days, we all occasionally say and do stupid things, and we all occasionally treat people worse than they deserve to be treated.  So don't be too hard on people when they disappoint you, because tomorrow it will probably be your turn to have a bad day.

 

Community

Blogging is a community service.

If you truly believe and actually practice the principles of both conversation and collaboration, then viewing blogging as a community service comes naturally.  You will truly be more interested in actually listening to what your readers have to say, and less interested in just broadcasting your message.  You will see your words as simply the catalyst that gets the conversation started, and when necessary, helps continue the discussion. 

You will see friends not foes when encountering your blogging peers.  You will help them celebrate their successes and quickly recover from their failures.  You will help others when you can and without worrying about what's in it for you.

As James Chartrand says, you will welcome people to your blog because you view blogging as a festival of people, a community strengthened by people, where everyone can speak up with great care and attention, sharing thoughts and views while openly accepting differing opinions.  Blogging is a community service providing a wealth of experience, thoughts and knowledge being shared by all sorts of participants.

In the closing keynote of this year's BlogWorld conference, Chris Brogan explained (from notes taken by David B. Thomas):

“Make it about them.  Stop looking at this as a cult of me. 

It has to be about your audience.  Turn them into a community. 

The difference between an audience and a community is the way you face the chairs. 

The difference between an audience and a community:

One will fall on its sword for you and the other will watch you fall.”

Collablogaunity

Pronounced: “Call a Blog a Unity”

There are literally millions of blogs on the Internet today.  Your blog (to quote Seth Godin) is “either remarkable or invisible.”

Remarkable blogs primarily do three things:

  1. Start conversations
  2. Encourage collaboration
  3. Foster a true sense of community

Remarkable blogs are collablogaunities.  Is your blog a collablogaunity?

 

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Beyond a “Single Version of the Truth”

This post is involved in a good-natured contest (i.e., a blog-bout) with two additional bloggers: Henrik Liliendahl Sørensen and Charles Blyth.  Our contest is a Blogging Olympics of sorts, with the United States, Denmark, and England competing for the Gold, Silver, and Bronze medals in an event we are calling “Three Single Versions of a Shared Version of the Truth.” 

Please take the time to read all three posts and then vote for who you think has won the debate (see poll below).  Thanks!

 

The “Point of View” Paradox

In the early 20th century, within his Special Theory of Relativity, Albert Einstein introduced the concept that space and time are interrelated entities forming a single continuum, and therefore the passage of time can be a variable that could change for each individual observer.

One of the many brilliant insights of special relativity was that it could explain why different observers can make validly different observations – it was a scientifically justifiable matter of perspective. 

It was Einstein's apprentice, Obi-Wan Kenobi (to whom Albert explained “Gravity will be with you, always”), who stated:

“You're going to find that many of the truths we cling to depend greatly on our own point of view.”

The Data-Information Continuum

In the early 21st century, within his popular blog post The Data-Information Continuum, Jim Harris introduced the concept that data and information are interrelated entities forming a single continuum, and that speaking of oneself in the third person is the path to the dark side.

I use the Dragnet definition for data – it is “just the facts” collected as an abstract description of the real-world entities that the enterprise does business with (e.g., customers, vendors, suppliers).

Although a common definition for data quality is fitness for the purpose of use, the common challenge is that data has multiple uses – each with its own fitness requirements.  Viewing each intended use as the information that is derived from data, I define information as data in use or data in action.

Quality within the Data-Information Continuum has both objective and subjective dimensions.  Data's quality is objectively measured separate from its many uses, while information's quality is subjectively measured according to its specific use.

 

Objective Data Quality

Data quality standards provide a highest common denominator to be used by all business units throughout the enterprise as an objective data foundation for their operational, tactical, and strategic initiatives. 

In order to lay this foundation, raw data is extracted directly from its sources, profiled, analyzed, transformed, cleansed, documented and monitored by data quality processes designed to provide and maintain universal data sources for the enterprise's information needs. 

At this phase of the architecture, the manipulations of raw data must be limited to objective standards and not be customized for any subjective use.  From this perspective, data is now fit to serve (as at least the basis for) each and every purpose.

 

Subjective Information Quality

Information quality standards (starting from the objective data foundation) are customized to meet the subjective needs of each business unit and initiative.  This approach leverages a consistent enterprise understanding of data while also providing the information necessary for day-to-day operations.

But please understand: customization should not be performed simply for the sake of it.  You must always define your information quality standards by using the enterprise-wide data quality standards as your initial framework. 

Whenever possible, enterprise-wide standards should be enforced without customization.  The key word within the phrase “subjective information quality standards” is standards — as opposed to subjective, which can quite often be misinterpreted as “you can do whatever you want.”  Yes you can – just as long as you have justifiable business reasons for doing so.

This approach to implementing information quality standards has three primary advantages.  First, it reinforces a consistent understanding and usage of data throughout the enterprise.  Second, it requires each business unit and initiative to clearly explain exactly how they are using data differently from the rest of your organization, and more important, justify why.  Finally, all deviations from enterprise-wide data quality standards will be fully documented. 

 

The “One Lie Strategy”

A common objection to separating quality standards into objective data quality and subjective information quality is the enterprise's significant interest in creating what is commonly referred to as a “Single Version of the Truth.”

However, in his excellent book Data Driven: Profiting from Your Most Important Business Asset, Thomas Redman explains:

“A fiendishly attractive concept is...'a single version of the truth'...the logic is compelling...unfortunately, there is no single version of the truth. 

For all important data, there are...too many uses, too many viewpoints, and too much nuance for a single version to have any hope of success. 

This does not imply malfeasance on anyone's part; it is simply a fact of life. 

Getting everyone to work from a single version of the truth may be a noble goal, but it is better to call this the 'one lie strategy' than anything resembling truth.”

Beyond a “Single Version of the Truth”

In the classic 1985 film Mad Max Beyond Thunderdome, the title character arrives in Bartertown, ruled by the evil Auntie Entity, where people living in the post-apocalyptic Australian outback go to trade for food, water, weapons, and supplies.  Auntie Entity forces Mad Max to fight her rival Master Blaster to the death within a gladiator-like arena known as Thunderdome, which is governed by one simple rule:

“Two men enter, one man leaves.”

I have always struggled with the concept of creating a “Single Version of the Truth.”  I imagine all of the key stakeholders from throughout the enterprise arriving in Corporatetown, ruled by the Machiavellian CEO known only as Veritas, where all business units and initiatives must go to request funding, staffing, and continued employment.  Veritas forces all of them to fight their Master Data Management rivals within a gladiator-like arena known as Meetingdome, which is governed by one simple rule:

“Many versions of the truth enter, a Single Version of the Truth leaves.”

For any attempted “version of the truth” to truly be successfully implemented within your organization, it must take into account both the objective and subjective dimensions of quality within the Data-Information Continuum. 

Both aspects of this shared perspective of quality must be incorporated into a “Shared Version of the Truth” that enforces a consistent enterprise understanding of data, but that also provides the information necessary to support day-to-day operations.

The Data-Information Continuum is governed by one simple rule:

“All validly different points of view must be allowed to enter,

In order for an all encompassing Shared Version of the Truth to be achieved.”

 

You are the Judge

This post is involved in a good-natured contest (i.e., a blog-bout) with two additional bloggers: Henrik Liliendahl Sørensen and Charles Blyth.  Our contest is a Blogging Olympics of sorts, with the United States, Denmark, and England competing for the Gold, Silver, and Bronze medals in an event we are calling “Three Single Versions of a Shared Version of the Truth.” 

Please take the time to read all three posts and then vote for who you think has won the debate.  A link to the same poll is provided on all three blogs.  Therefore, wherever you choose to cast your vote, you will be able to view an accurate tally of the current totals. 

The poll will remain open for one week, closing at midnight on November 19 so that the “medal ceremony” can be conducted via Twitter on Friday, November 20.  Additionally, please share your thoughts and perspectives on this debate by posting a comment below.  Your comment may be copied (with full attribution) into the comments section of all of the blogs involved in this debate.

 

Related Posts

Poor Data Quality is a Virus

The General Theory of Data Quality

The Data-Information Continuum