DQ-BE: Scots give 110% at the Polls
/An example of the importance of performing some basic data quality checks before displaying information, inspired by a graphic about the recent referendum on Scotland’s independence from Great Britain.
Read MoreAn example of the importance of performing some basic data quality checks before displaying information, inspired by a graphic about the recent referendum on Scotland’s independence from Great Britain.
Read MoreThis sponsored blog post for the IBM for Midsize Business program discusses Watson Analytics, a natural language-based cognitive service from IBM that can provide instant access to powerful predictive and visual analytic tools for businesses.
Read MoreThis sponsored blog post for the IBM for Midsize Business program highlights just three of the many key concepts covered in the book Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics.
Read MoreThis sponsored blog post for the IBM for Midsize Business program summarizes a study by the IBM Institute for Business Value about how leading midsize businesses are converting big data and analytics into results.
Read MoreWhile the era of big data inundates us with huge quantities of data in a wide variety of formats and questionable levels of quality, it may also be making us more literate in more ways.
Read MoreDuring this OCDQ Radio episode, conference co-chairs Joy Medved of IAIDQ and Melissa Hildebrand of ECCMA discuss the 2014 International Data Quality Summit (idqsummit.org) being held October 6-9 in historic Richmond, Virginia.
Read MoreThis sponsored blog post for the IBM for Midsize Business program examines the effects on enterprise mobility caused by the recently announced IBM and Apple partnership.
Read MoreThis post ponders how the focusing illusion, the illusion-of-truth effect, and the illusion-of-quality effect can affect the metrics your organization is relying on to support its data-driven business decisions.
Read MoreThis sponsored blog post for the IBM for Midsize Business program takes on three common misconceptions about big data.
Read MoreThis cautionary post, based on a Wired article by Felix Salmon, is a reminder that while becoming data-driven is a laudable goal, be wary of becoming too driven by data.
Read MoreThis 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 MoreInspired 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 MoreObsessive-Compulsive Data Quality (OCDQ) is a blog offering a vendor-neutral perspective on data quality and its related disciplines.
Home | Blog | Podcast | Videos | Best of OCDQ | Published Articles | About | Contact |
Powered by Squarespace |