Business Value Should Reign

I read this morning Evan Levy’s excellent blog “Blind Vendor Allegiance Trumps Utility.” In it, he laments the number of companies he spoke to at the recent Gartner MDM Summit who identified their leading MDM vendor (based on being a [Microsoft / IBM / SAP / Oracle / SAS] shop) before even defining their requirements. Read more

Data Policies are the Instruments of Data Governance

In my last blog, I compared the digital world of data to the physical environment we live in. I made a case for thinking about data governance in terms of data policies aimed at keeping bad data, analogous to trash in the physical environment, out of the data environment in the first place. Read more

Does Analytical MDM Exist, and Other Tales from Las Vegas

Gartner MDM Summit in Las Vegas last week had all the trappings of a good technology conference: lots of buyers, rich content, and a little fun. Andrew White stripping during the keynote was a moment of considerable suspense with the audience wondering how far he’d go. Read more

Gartner MDM Summit Las Vegas

Last week, Kalido participated as a Platinum sponsor in the Gartner MDM Summit in Las Vegas. Co-chaired by Gartner analysts John Radcliffe and Andrew White, the conference came on the heels of the Gartner BI Summit and gained about 100 attendees from event for a total in the 4-500 range. Read more

What do Environmental Policy and Data Governance Have in Common?

There’s a fitting analogy between the digital world of data and the physical environment we live in. Bad data is like trash: pollutants that infest the environment. Trash makes everyone’s life worse off. Similarly, bad data has a pervasive negative impact on business performance. Read more

Traditional Approach to Data Management Only Treats the Symptoms

In my last blog, I discussed that although we’ve thrown a huge amount of money to solve data problems, the result is unsatisfactory. For poor data quality, we identified the root cause: the lack of transparency and accountability between providers and consumers of data.

In most organizations, because the relationships and rules of engagement between data providers and consumers are not transparent, data consumers naturally assume that the wizardry of IT is responsible for data. When data problems arise, IT gets the blame: IT becomes the de facto data owner. But IT typically doesn’t have the authority to address the root cause by telling data providers to bear the cost of good data for the benefit of the entire organization. So IT has to solve the problem in some other way. Read more

How to Train Your “Data Dragon”

This weekend I saw the new animation masterpiece “How to Train your Dragon” with my kids.  It’s the story of a group of Vikings living on a remote island being constantly attacked by dragons of different species. When a young boy brings down the fiercest of all dragons, the Night Fury, nobody believes him but he finds the dragon, wounded in the forest, and discovers that dragons are friendly, even though they have been picking up children and animals and carrying them away. Read more