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PRESIDENT'S MESSAGE
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| 8:30 - 9:00 | Continental Breakfast |
| 9:00 - 9:15 | Welcoming Remarks |
| 9:15 - 10:15 | SF DAMA’s Chapter Data Model Review |
| 10:15 - 10:30 | Break |
| 10:30 - 11:45 | Continued Review and Working Session |
| 11:45 - 12:00 | Questions and Wrap-Up |
| 12:00 - Lunch | Restaurant (to be announced at the meeting) |
| Collaborative Data Modeling! Announcing SF DAMA’s Chapter Data Model Review! Originally designed collaboratively by SF DAMA’s board and membership, this one-year-old data model needs review. Come to the August meeting to help us finalize the Chapter Data Model. Interaction and participation encouraged – bring your good ideas, and don’t be afraid to ask questions. Click to Review the SF DAMA Data Model |
| 8:30 - 9:00 | Continental Breakfast |
| 9:00 - 9:15 | Welcoming Remarks |
| 9:15 - 10:15 | Using Business Intelligence to form KPI’s |
| 10:15 - 10:30 | Break |
| 10:30 - 11:45 | Continued Presentation |
| 11:45 - 12:00 | Questions and Wrap-Up |
| 12:00 - Lunch | Restaurant (to be announced at the meeting) |
| Using Business Intelligence to form KPI’s Overview: Businesses measure success through financial outcomes and process efficiencies. This session would focus on the process of creating high value KPIs and how to derive those KPIs from a BI solution. We will discuss KPIs in terms of peer and periodicity measurement; absolute and relative measurement and through dimensional comparison. Also, we will highlight example KPIs in an OLAP drillable environment from a business user perspective. Additional time is spent reviewing the business data model that supports KPIs. Participants will learn: How to distinguish a KPI from other numbers How to align KPIs with your business goals and processes How to visually document your KPIs for monitoring How to proceed from a KPI data element inventory to a calculated KPI with thresholds About the presenter: Christina Rouse specializes in enterprise business intelligence and data warehouse solutions. She is an improvement catalyst who applies business intelligence technology and digital information assets for profit growth. Chris has nearly 20 years of data experience on a broad range of technical platforms. Clients rave about her blend of business designer, technical architect and trainer skills. Clients ask Chris to conceptualize the BI solution, then architect, construct and implement that solution. Chris is a seasoned business intelligence solution architect, a statistician by graduate education and a former college professor. She currently directs SilverTrain’s National Business Intelligence practice. |