tag:blogger.com,1999:blog-6895175514429514812.post2141060980898647413..comments2023-11-22T03:50:16.890-05:00Comments on Data Governance Insider: Overcoming Objections to a Data Governance ProgramSteve Sarsfieldhttp://www.blogger.com/profile/12892788380306110697noreply@blogger.comBlogger4125tag:blogger.com,1999:blog-6895175514429514812.post-75940640657969682532009-12-21T09:28:36.937-05:002009-12-21T09:28:36.937-05:00Thanks for the comment, Anon. I've thought abo...Thanks for the comment, Anon. I've thought about it and I'm not going to attempt to tackle data lineage in a comment. However, it is an interesting topic. Perhaps it's one that the community we should take on in blog posts.Steve Sarsfieldhttps://www.blogger.com/profile/12892788380306110697noreply@blogger.comtag:blogger.com,1999:blog-6895175514429514812.post-89446759007467401752009-12-15T20:21:15.807-05:002009-12-15T20:21:15.807-05:00One of our prime concerns is with data lineage, th...One of our prime concerns is with data lineage, that is the capability to trace back each data element to the source, including any treatments, rules or overrides applied. This is an area of governance that does not generally appear in the framework. From my experience, most people believe that lineage is a byproduct of DQ (ie an IT solution) whereas reality has proven it to be more a business outcome.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-6895175514429514812.post-8906368520529906492009-11-11T08:55:22.196-05:002009-11-11T08:55:22.196-05:00I didn't know you were a Zig Ziglar fan too, D...I didn't know you were a Zig Ziglar fan too, Dylan. It does always seem to come down to need, money, urgency, and trust. As the data governance champion, that's what you have to build.Steve Sarsfieldhttps://www.blogger.com/profile/12892788380306110697noreply@blogger.comtag:blogger.com,1999:blog-6895175514429514812.post-7154703237672977582009-11-11T05:34:41.821-05:002009-11-11T05:34:41.821-05:00Great post Steve.
I think you're bang on the ...Great post Steve.<br /><br />I think you're bang on the money, data governance is quite different to some of the local DQ initiatives one sees where departmental politics means you can force through improvements. If you don't understand the drivers at board level it can scupper any momentum.<br /><br />I always try and advocate a "self-funding" approach. Create a small, low-cost pilot that generates profits and use those profits to engineer bigger programs which are also self-funding.<br /><br />I've spoken to a number of senior managers who are very sceptical about data quality, and rightly so, as many projects fail to live up to expectations.<br /><br />Came across a great post about Zic Ziglar that stated: "Every sale has five basic obstacles: no need, no money, no hurry, no desire, no trust”<br /><br />We may feel that data governance and data quality tick all those criteria but if we can't justify each point then we may be in trouble.<br /><br />What your post does is give the practitioner tools to combat each one of those objections.<br /><br />(I've touched on some similar themes here: "How to create a compelling data quality business case" http://bit.ly/14CAvT )Dylan Joneshttp://www.dataqualitypro.comnoreply@blogger.com