Welcome to the DataFlux Community of Experts
The DataFlux Community of Experts is a forum for industry thought leaders, including Jill Dyché (partner and co-founder, Baseline Consulting), and David Loshin (president, Knowledge Integrity, Inc.), Joyce Norris-Montanari (president, DBTech Solutions) and Mike Ferguson (managing director, Intelligent Business Strategies) to provide perspective and insight on issues surrounding data governance, data quality and data integration.
I had an interesting discussion with a colleague the other day about monitoring data quality compliance. I have been advocating instituting ongoing monitors to detect violations of known data quality issues in process to alert a data steward when a data issue is identified. My colleague thinks that the practicality of ongoing monitoring is limited. He may have a point. - Read the rest of this entry »
Some of my clients say, “Heh, I’m a Green Belt or Black Belt in Six Sigma, what are you?” My response was usually, “Huh?” I kept thinking, what is the big deal about Six Sigma? It is a problem solving methodology with lots and lots of diagrams, to improve business performance. Then I started thinking how I could apply this methodology to some of my data issues (usually in companies who use Six Sigma!). - Read the rest of this entry »
I just read a RFP for an integrated system that has about 62 source systems. This is scaring the heck out of me! I am sitting here thinking the following: - Read the rest of this entry »
Defined service level agreements for maintaining levels of data quality rely on the ongoing monitoring of data quality expectations and reporting of any emergent issues that require attention. However, once an issue has been discovered, it is necessary to have the right workflow processes in place to assess, diagnose, and remediate the issue. - Read the rest of this entry »
Looking at the disciplines associated with governing data we often see lots of discussion and writings about business metadata, data modeling, data discovery, data profiling, data cleansing, MDM, data integration etc. etc. However one area I see as almost forgotton is that of data security. - Read the rest of this entry »
Seems that http://blogs.ittoolbox.com keeps up with the Gartner Magic Quadrant results for Data Quality Tools. The results showed that DataFlux took the lead (by a small margin) in the data quality space. I see the war beginning between the quality vendors. Not a bad thing for the rest of us who use these tools. - Read the rest of this entry »
Last week I attended some meetings to discuss up and coming technology, and a few of the presentations talked about adapting the “mashup” concept to business process flow and workflow. It was interesting to see the connection, especially as I have been doing a lot of thinking about the necessary workflow process to support active data governance. Presuming that one has instituted monitor routines to continuously measure conformance to business expectations for data quality, and that one has defined acceptability thresholds for conformance, there must be some action taken when the quality of the data does not meet the intended goals. - Read the rest of this entry »
In a number of recent courses I have been posing a question to the audience regarding their perception of the criticality of data elements in the enterprise. I ask three questions:
I was just creating a data quality strategy for a customer going through a conversion from multiple sources to one integrated database. While doing the conversion, new software will be introduced and propagated out to the organization. Not an easy task for any organization! Not only are they doing a conversion, but they purchase enhancement data from a third party, which means more quality and integration issues to address. So here is what I know: - Read the rest of this entry »
Over the last 12 months I have been working for several clients on Data Governance assessment and implementation projects. Part of the assessment work I do involves looking at the people, processes and technologies that companies have in place to govern data. Technology assessment looks at what tools are in place to manage data vocabularies, data models, data discovery, data profiling, data cleansing and data integration as well as administering physical data structures across heterogeneous databases. - Read the rest of this entry »
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