Posts Tagged ‘data governance’

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First Happy New Year and I hope you all had a chance to read my first posting on “The Importance of Data Governance and Which Data Governance/Organizational Model is Correct for Your Business.”  As the prior posting is important, as you would first need to understand the different data governance models before you can truly […]

Before I get into the semantics of data governance and which model is correct for your business, hopefully you had the chance to read the prior data governance blog postings from Chris Grenz and Deepak Ramanathan.  I highly recommend these posts as they give you a great explanation on the importance of data governance and […]

Setting up a new data governance program means bringing deep change to the operating culture of an organization.  As a result, getting traction for an enterprise scale effort may not always be the pragmatic route.  Sometimes its better to be small and excellent here and let the enterprise adopt governance organically. Limited Data Governance The […]

In my last blog posting, I talked about the need for Data Governance and Data Stewardship to work collaboratively across business units and that organizations should be formed over time to help enable this collaboration. While no two Data Governance programs are identical, below is an example structure which might be adopted, in a phased […]

When you hear some talk about Data Governance, it is hard to decipher whether they’re really talking about Data Governance or if they’re really talking about Data Management or some ambiguous conglomeration of the two. The DAMA Dictionary of Data Management defines Data Governance as “The exercise of authority, control and shared decision making (planning, […]

When embarking on enterprise data initiatives, such as Meaningful Use, BI or supporting the conversion to ICD-10, success is very often correlated to the degree of business involvement. For enterprise data initiatives, there are three types of business (here meaning non-IT) involvement required: Stakeholder involvement (these, of course, are the people for whom we are […]

In Part 1, we saw an overview of Data Governance and the initiatives firms need to take to incorporate governance. Let’s now look a bit more in detail about Data Quality Management as this is a key step in Data Governance towards ensuring data quality. Why is Data Quality Management necessary? Data Quality Management is […]

While one of my earlier posts on Quality Data being a pre-requisite for every BI technique is still generating both positive and negative responses, I felt it would be apt to delve into Data Governance and see why it is necessary to be incorporated to achieve & maintain better data quality. First, lets have a […]

Looking through the sessions at HIMSS 2011, one can see a wide range of topics related to business intelligence and analytics. From different uses for BI to different types of presentation vehicles to the potential of use predictive analytics, one will not be at a loss for finding something analytics related to sink their teeth […]

As I look over the various sessions and presentations for the 2011 HIMSS conference, I’m excited to see an increased focus on data governance as a topic. At the same time, I ask myself “is it enough?” Data governance in healthcare (especially in the provider space), has often been a neglected and forgotten critical component […]