“Our corporate data is growing at a rate of 27% each year and we expect that to increase. It’s just getting too expensive to extend and maintain our data warehouse.” “Don’t talk to us about our ‘big’ data. We’re having enough trouble getting our ‘small’ data processed and analyzed in
There's no shortage of hype and confusion surrounding big data. Plenty of companies are starting to dip their toes in the pool despite the relative paucity of documented case studies – at least compared to ERP, CRM and BI applications. Sometimes people ask me, "Can you give me one tip
The obvious answer to this is: SOMEWHERE! When I have clients who don’t know where to start on their data governance initiatives, I like to assess what data governance practices or disciplines my clients are now implementing. For example, what if they really don’t have a good way to audit and manage the
In my last three posts, we walked through a thought experiment about the decision-making process, with the conclusion that a method for ensuring the quality of report data used to make decisions will highlight the value of those individuals whose instincts and experience allow them to generally make good decisions.
“You don’t make a great museum by putting all the art in the world into a single room. That’s a warehouse,” explained Jason Fried and David Heinemeier Hansson in their bestselling book Rework. “What makes a museum great is the stuff that’s not on the walls. Someone says no. A
Data comes in all shapes and sizes and from various sources and systems. We also know that companies that efficiently manage data have a distinct advantage in the market: clean, quality data yields better business process and precise analytics, which drives better, faster decision making. So, how do they do
“Culture eats strategy for lunch.” –Peter Drucker One of the major emphases of Too Big to Ignore is the role of organizational culture. "Doing Big Data right" involves much more than hiring data scientists, deploying non-relational databases, storing petabytes of unstructured data and dropping terms like analytics. In many instances,
Joyce Norris-Montanari addresses the issue of whether a data modeler needs to know databases.
.@davidloshin on leveraging MDM as a tool for DW consolidation.
Years ago, I was at a user conference, listening to an attendee talk for 15 minutes during a break about a data quality job he had created. He had good reason to celebrate. The job had reduced the amount of work required to clean up product data within a data
