| Presented by David Wells
Time: Registration/Refreshments - 8:30-9:00 a.m.
Presentation - 9:00-11:00 a.m.
Announcements - 11:00-11:30 a.m.
Presentation Download: Modeling Business Metrics: The Next Horizon for Data Modelers
Modeling Business Metrics: The Next Horizon for Data Modelers
We've spent decades maturing data modeling discipline to the point where we can integrate data at an enterprise level. The elusive "single truth" that every business wants can become a reality with rigor and discipline of data management. Now the trend to business analytics brings the next integration challenge: How do we avoid non-integrated metrics? How to we prevent conflict between the customer measures of CRM and those of BPM? How do we ensure that all of the dashboards and scorecards in a business tell the same story?
The answer, of course, is to introduce the same level of discipline and structure into business metrics that has evolved for business data. The difficulty is that it is easier said than done. Today's metrics modeling typically begins with star-schema design. But that's too late and too close to physical design to meet integration challenges. Metrics modeling needs to begin with business context. This presentation presents an approach to modeling of business metrics that starts at the beginning -- with external business context (economic, political, social, and technological business drivers) and internal business context (financial, customer, process, and workforce goals). Using context and classification we can identify and define compatible business metrics that are integrated and cohesive from the top-level KPIs to the detailed operational measures that drive day-to-day decisions.
David Wells
Dave Wells is the Director of Education for The Data Warehousing Institute (TDWI). He is a Certified Business Intelligence Professional (CBIP) having achieved mastery level certification in the areas of leadership and management, business analytics, data analysis and design, and data integration. Dave is a frequent speaker at industry conferences, an independent data warehousing consultant, and a contributing author to industry publications. Through an IT career of more than 30 years, Dave worked in management, analysis and design, quality assurance, data administration, programming, consulting, and education roles. With firm conviction that IT people must become more business literate and business people more IT knowledgeable, he set out to "practice what he preaches" leaving IT to assume his current position with for strategy, planning, and execution responsibilities for a major line of business. |
