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This issue: Data governance success: No pain, no gain
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May 2008
Business Intelligence Brief
 

TDWIOur new Best Practices Report and on-demand webinar: Dealing with Spreadmarts: Strategies for Migrating to a Managed BI Environment
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Recent Articles in DM Review

Don’t Stop at How, Learn Why, May 2008

Recovering from the Accidental Architecture, April 2008

The Accidental Architecture, March 2008


Rick Sherman interviewed in eWeek: As Economy Falters, On-Demand Apps Must Prove Value

Rick Sherman's interview on Master Data Management(MDM) in TDWI's Business Intelligence News.

Data Doghouse


Speaking & Training: Contact us to have Rick Sherman speak at your event or deliver onsite data warehouse training and/or consulting.

Podcasts: What's the problem with hand-coding scripts for data integration?, April 2008

Understanding Master Data Management (MDM) Implementation Styles, February 2008

TDWI On-demand Webinar: Dealing with Spreadmarts: Strategies for Migrating to a Managed BI Environment


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TDWI Boston Chapter Meeting

Data warehousing and business intelligence professionals in the Boston area are invited to sign up for and attend the TDWI Boston Chapter Users’ Group meeting next week on Thursday May 29th 1-4pm in Waltham, MA.

The keynote presentation is “Master Data Management in Context” by Rick Sherman. This will be followed by an panel discussion on “The State of MDM”. Panelists are from Oracle, SAP Business Objects, Kalido and IBM.
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Last Chance to Register for our June 2-3 DW/BI Project Management Course

Special Session Pricing = $1000 (call for multi- student pricing)
Location: Waltham, MA.
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Data governance success: No pain, no gain

Does this sound familiar? Your business users are complaining that they constantly have to debate and reconcile the numbers in different reports. They complain that the reports you give them aren't consistent with the way they run the business. They are constantly asking you to explain the reports to them.

It makes me think of that classic refrain "if you are not part of the solution, then you are part of the problem." It's time to get your business folks to understand that they need to be part of the solution. That means that business people have to get engaged in defining data definitions, business transformations and the performance metrics they want to use in reports. Oh sure, some of them might have given you specs on these things when you initially developed the reports, but the business is constantly changing and you have to continuously revise all these things to reflect current business conditions.

Even more important, the definitions you got from the business initially were probably based on one-on-one discussions with specific business users and groups. Did anyone try to get the different business groups to agree on these definitions? Probably not. So one group is happy with the definitions (they were the ones who defined it) but other groups don't use those reports either because they disagree with those definitions or they do not understand them.

What should you do? It's time to initiate a formal business-driven data governance process. That process should match your business culture and the size of your company. In a large company with a lot of discipline, you'll create steering and working group committees along with a business intelligence (BI) competency center. Companies that are not as large or as disciplined might assign responsibility to people from various business groups and leave it up to them to decide how to ensure the process works. But regardless of your company's management culture or size, a data governance process MUST be implemented to ensure data consistency and quality.

Implementing data governance may sound overwhelming. You'll likely have to use your powers of persuasion to get people involved. But if the business wants consistent, comprehensive and relevant data, people have to get involved. Remind them that the time they spend arguing about numbers and reconciling them could be shifted to much more productive business work if data governance was implemented. You either get data consistent before you create reports or you try to do it afterwards. It seems like a no-brainer.

Key steps:

  • Work with business people to define data, business rules (transformations) and performance metrics they want in reports.
  • Obtain agreement on a consistent view of the above from business groups that use these reports, otherwise say your system will not go live!
  • Set expectations and obtain commitment for ongoing business participation in this data governance process (it is NOT a one time project).
  • Document everything and make it easily available to business people when they are examining reports or performing data analysis.

Good luck. The level of effort is high, but the reward – business value from data – is even higher.

Rick Sherman

Rick Sherman, Athena IT Solutions

 


About Athena IT Solutions

Athena IT Solutions is a Boston-based consulting firm that provides data warehouse and business intelligence consulting, training and vendor services. Rick Sherman has over 20 years of business intelligence and data warehousing experience, having worked on more than 50 implementations as a director/practice leader at Pricewaterhouse Coopers and while managing his own firm. Rick is a published author of over 50 articles, an industry speaker, a DM Review World Class Solution Awards judge, a data management expert at searchdatamanagement.com, and has been quoted in CFO and Business Week. Sherman can be found blogging on performance management, data warehouse and business intelligence topics at The Data Doghouse. He holds an MBA from Rensselaer Polytechnic Institute. You can reach him at rsherman@athena-solutions.com or (617) 835-0546.

© 2008 Athena IT Solutions

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