Single Versions of the Truths

I just finished reading a blog by Forrester’s Connie Moore, “Do You Have a Single Version of Process?” on the Information Management website.  Read more

Seven Data Words You Can’t Say…..

I was always a big fan of the late George Carlin.  There was a time when I could recite the entire “Class Clown” album during lunchtime at school (like George, I always saved my best stuff for lunchtime).   Of course, the crown jewel was the infamous “7 Dirty Words You Can’t Say on Television”.  Read more

Who owns YOUR data?

Implementing an effective Master Data Governance solution can be tough…you have to deal with corporate culture, getting management support, formulation policies, implementing rules and much more. However, a less commonly addressed question is: “Who will own the governed data?” Read more

Why some Data Quality and MDM tools undermine Data Governance

If you ask most people involved with information management and data governance if they understand data quality you would get a resounding “yes!”  However, the true definition of what constitutes quality data is a very complex and subtle one.  Data that is “high quality” for the purpose of, say, operations may be nearly useless for the purpose of invoicing.  In other words, data quality really is relative to the business process that will use the data. Read more

Data Management is a Business Process

I’ve been in and around the data space for over 15 years now, first with Hyperion Software helping finance departments consolidate their financial data. Hyperion understood that Consolidation was a process, not just a set of numbers. We needed to do currency conversions, inter-company eliminations, etc. to deliver a set of financials that could pass regulatory scrutiny. Read more

What Goes Around, Comes Around

This week my email digest of articles from Agile Data Warehousing pointed me to an interesting article posted on TDWI’s site about Big Data. The discussion started off as most Big Data discussions do these days, around the so-called 3 Vs of Big Data – volume, variety and velocity. Read more

Data Centricity Needs Governance

Browsing though articles on Agile Data Warehousing, I just came across an article by Gavin Michael Growing the New Data Culture. The premise is that for organizations to become more data centric in their decision making process, they must not just manage data better, but must change corporate culture in order to have decision makers use that data more effectively. Read more

In a Traditional Data Warehouse, Facts Can Be Slippery

Since the beginning of data warehousing, practitioners have been comforted to know that facts—the individual business events that are quantified and measured—don’t change once recorded. That’s generally true when your warehouse is fed from a few highly reliable sources like the enterprise ERP and CRM systems; however, many warehouses rely on data sets that originate from various parts of complex organizations—or even from outside the organization altogether. Read more

Are you even (nearly) ready for Big Data?

Big Data.  What is it? Those of us who have helped organizations improve competitiveness through more effective use of information know that most data has value. The trick is in defining that value, determining how best to get at it and then executing a process to extract it. Every few years it seems we have to create a rally point for more focus on just how impactful information is, and for the past several that rally point is Big Data. If you believe what you read and hear, it can be pretty much anything you want it to be. But there is at least one shred of truth in what we call it; it is BIG. Read more

This Post Is Not About Big Data

Big Data is clearly the buzzword du jour in the information management space right now. I read a great article by Jim Ericson a few days ago where he talked about the hype around big data and how vendors, consultants and analysts have glommed on to (my word) the term and its pervasiveness in all topics information management. Read more