I have been working with data for quite some time and I can tell you that difficulties managing business operations most often stem from bad or poorly managed data. In fact, tracking down, documenting and negotiating fixes for source data issues is probably the single most time consuming part of a BI teams day. This effort often led BI teams to become more pro-active. Over the years, BI data governance has been one of the biggest contributing factors in the formalization of Data Governance programs and Data Governance offices. As the most visible measure of success, then, it is critically important that Data Governors ask themselves, “Does our BIER have a good head?” If the answer is anything other than a resounding, “Yes!” get out there and focus your attention on BIER governance.
The truth is, if your BIER is in bad shape, it’s because your source data is in poor condition. This can be either a process and quality management issues associated with your source systems or, as often as not, it’s because you’re not managing your master data consistently – if at all. However, before you can address the data quality issues, you should put some governance around your BIER. This will do several things:
- Give accountability for prioritization to the appropriate parties
- Ensure consensus on reporting scope, definitions, metrics, etc…
- Align/coordinate efforts between business units and functional departments
- Create transparency
Often, it is not necessary to separate the BIER governance and the Data Governance bodies. In another article, I will talk about governance models for both BIER and Data Governance where I will illustrate this.
In summary, BIER is the most visible and tangible evidence that your Data Governance program is working properly. When the head is good, the beer is sure to be as well.
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