Four Stages for Adopting Big Data and Analytics
/This sponsored video post for the IBM for Midsize Business program provides an overview of the 4 V's of big data (Volume, Velocity, Variety, Veracity) and the 4 E's of adopting big data and analytics (Educate, Explore, Engage, Execute).
Read MoreTurning Anecdote into Data
/Inspired by Nate Silver, this blog post examines the journey from anecdote to data and how hard it can be to find the way back, especially after data becomes doctrine.
Read MoreThe Visual Organization
/During this OCDQ Radio episode, guest Phil Simon discusses concepts from his book The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions.
Read MorePinpointing an Accurate Address requires More than a Map
/This Service Objects sponsored blog post explains that while a good map has its place in helping you find your way, in order for your mailings to find their way to your customers, you need the pinpoint accuracy of a deliverable address.
Read MoreHeading to the Clouds
/This sponsored blog post for the IBM for Midsize Business program examines the continuing evolution of cloud computing and how the future of business, and the technology enabling it, is heading to the clouds.
Read MoreA Foggy Marketplace of Clouds
/This sponsored blog post for the IBM for Midsize Business program examines the cloud computing and cloud-based services covering the IT marketplace, as well as the rise of a new complementary model called fog computing.
Read MoreIs Fitness Data not Fit for the Purpose of Use?
/The data accuracy challenges and data privacy implications associated with tracking our fitness and health with wearable devices.
Read MoreData Quality from First Contact Outreach to Delivery
/This Service Objects sponsored blog post explains that “validate and deliver” should be your contact data quality mantra so you can deliver on the service promise you make to your customers.
Read MoreGetting Messy with Big Data
/This sponsored blog post for the IBM for Midsize Business program explains that composting messy piles of big data yields more fruitful insights than cherry-picking tidy files of tiny data.
Read MoreData Governance, Commander’s Intent, and Semper Gumby
/Borrowing from the strategies and mottos of the United States Army and Marine Corps, this blog post explains how successful data governance is always faithful to its principles and always flexible in its policies.
Read MoreLiving and Working in a Digital World
/This sponsored blog post for the IBM for Midsize Business program asks what you and your business make of, and make with, living and working in a data-constructed, mobile-connected, social-engaged, and cloud-enabled world.
Read MoreDQ-BE: A Valid but Inaccurate Address
/While the use of a postal validation service is a highly recommended best practice for ensuring valid addresses are entered when data is created, just because you have valid data doesn’t guarantee that you have accurate data.
Read MoreSmall Data is the Last Mile of Big Data
/This sponsored blog post for the IBM for Midsize Business program explains that small data completes the journey of big data and data science by making analytical results actionable for business users.
Read MoreGet Framed for Data Quality
/A follow-up to my previous post, arguing that even when real-world alignment makes data fit for the purpose of every use, you still need to keep track of, and track changes in, each use to keep the data supporting all your business objectives in context.
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