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
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
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
I recently came across a use case that clearly demonstrates why business applications, MDM and data governance are on a collision course. And, following my blog from last week, this is also where data and business process intersect. Read more
Recently, a business executive told me that they expect 20% of their customer data to be “bad” at any point in time, a cost of doing business, according to him. Like many business theories, most managers have come to accept certain myths as truth; that you can’t have growth and profitability, that employees are generally lazy, that competitors will act ethically to form a healthy market. Not only is bad data bad for business, it can be catastrophic. Read more
Last night, I arrived at my gate in Boston to board a flight to San Francisco. I arrived about ten minutes before boarding, and as is my usual custom, I stood at the entrance to the boarding area. To my surprise, there was nobody else standing there, but within 30 seconds people had begun to line up behind me as if I knew something. Within 5 minutes, a line of 50 or so people had formed. The gate agents cast a worried look our way. When the traditional boarding time arrived, typically 30 minutes before the flight, the mood of the crowd shifted; people began posturing for better position, and several people moved their way up to the front of the line for “pre-boarding. Problem is, American doesn’t pre-board”. Read more
Last week, a Customer Data Integration vendor (CDI) announced they were changing the name of their product to “Multi-Domain MDM Hub”, citing that “nearly half” of their customers use their product for multi-domain purposes. That means that more than half use it for only one domain. What is it that makes it so difficult for CDI and PIM (product information management) vendors to expand into other domains? Read more
Since Kalido delivered its first MDM product in 2004, we’ve been watching the market evolve. Many customers scanned the market, not entirely sure what they would do with such a concept. Early adopters took a chance in MDM to see if they could get the core value proposition right; that managing master data would reduce the amount of redundant data and reduce costs for data storage. After five years, the business benefits far outweigh the IT benefits of storing less data. Read more
Last week I attended the MDM Summit in New York, ably hosted by Aaron Zornes. I sat on a panel discussing master data management business and technology strategies for the IT executive. It was a eclectic panel; me, Elaine Bradshaw, SVP at Marsh in charge of data management, Nachi Desai, VP of enterprise architecture and BI at 1-800-flowers.com, and Sandeep Manchanda, Head of Information & Technology Management, General Insurance at Zurich Financial Services.
What was fascinating to me was that each of these very accomplished executives was taking a different approach to implementing MDM in their enterprise, but each in their own way understands the critical need for business end-user and executive involvement. Read more