S4: Defining a Balanced Scorecard for Data Management
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  C. Lwanga Yonke   C. Lwanga Yonke
Independent Analyst
Independent
 


 

Thursday, April 9, 2009
01:30 PM - 04:30 PM

Level:  Advanced

Location:  20

How can a data management leader a) convincingly demonstrate the value of data management, b) align data management activities with business goals and c) clearly define success and incent the right behaviors? These are fundamental challenges and opportunities most data management professionals struggle with routinely.

A balanced scorecard provides data management leaders a powerful method to achieve these goals and more. Whether focusing on data architecture, metadata management, BI, MDM, etc., individually or as part of a comprehensive approach to data management, a well-defined balanced scorecard provides actionable insights about the most important features of the data management strategy and suggests the desired interventions needed to improve results.

Participants in this tutorial will learn how to define a scorecard that is rooted in vision and strategy and that balances four essential components of effective performance: financial, internal business processes, learning and growth, and customer focus. Several real-life examples are used to illustrate concepts.

This tutorial will be beneficial to those seeking to enhance the value and effectiveness of their data management function. Participants will leave equipped with a robust technique to develop or polish their data management strategy and turn it into effective action.

Topics include:

  • Identifying the vital few metrics
  • Linking metrics to organizational goals and business strategy
  • Establishing the right accountabilities
  • Metrics as the foundation for improvement
  • How to avoid the most common measurement traps
  • A checklist for metrics quality


C. Lwanga Yonke is a seasoned information quality and information management expert and leader. He has successfully designed and implemented projects in multiple areas, including information quality, data governance, business intelligence, data warehousing and data architecture. His initial experience is in petroleum engineering and operations.

An ASQ Certified Quality Engineer, Lwanga holds an MBA from California State University and a BS degree in petroleum engineering from the University of California at Berkeley. Lwanga is a founding member of the International Association for Information and Data Quality (IAIDQ) and currently serves as an Advisor to the IAIDQ Board. He is also a member of the Society of Petroleum Engineers (SPE) and a senior member of the American Society for Quality (ASQ). Additional activities include serving on the Program Committees of the 2006 and 2007 MIT International Conference on Information Quality, of the 2007 Australasian Conference on Information Quality, and serving on the Boards of several non-profit organizations.


   
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