It’s becoming increasingly crystal clear that a lot of enterprise data is not crystal clear.
That’s why IT is relentlessly chartered to create data governance policies, assign ownership for those policies and find support from friends and sponsors on the business side of things.
It is also why data management personnel are allowed to travel for two or three days a year to attend data governance summits, tradeshows and seminars.
There’s no shortage of gurus, consultants and differing points-of-view at these events. But all experts seem to agree that successful data governance should be implemented through a highly structured and thoroughly documented methodology. Typically, analysts like to talk about a 5-step maturity process beginning with awareness of the problem (“My data is poor/my data is siloed/my data quality undermines my business processes and projects”), to the final stage with the data ship finally righted. At that point the governance initiative has moved into program-office mode where the process is continuously monitored and improved.
But, as experienced data governance seminar attendees know, there’s always a point in the proceedings where the audience is invited to take a refreshment break in the vendor exhibition hall. Here, they are encouraged to view the latest technologies available for executing data governance procedures. These tools very well might include (just to mention a few), Data Modelers, Extract Transform Load (ETL), DQ Matching, Address Verification and BPMS solutions.
And, of course, MDM (Master Data Management), which may well contain and orchestrate all of the above tools – and more.
Consider this as a partial description and enticement to register for the Digital Business DEMOs presentation this Wednesday, August 2nd. “Six Steps to Executable Data Governance” will include a demo of an orchestrated, governance process flow supported through MDM.
And feel free to bring your own refreshments.