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Enabling Self-Service Reporting in Microsoft SQL Server 2008. C. Ryan Clay, Thiago Silva & Bryan C. Smith. Today’s Objectives. Explore the topic of self-service in business intelligence Review Microsoft’s approach to self-service Demonstrate Microsoft self-service reporting technologies.
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Enabling Self-Service Reporting in Microsoft SQL Server 2008 C. Ryan Clay, Thiago Silva & Bryan C. Smith
Today’s Objectives • Explore the topic of self-service in business intelligence • Review Microsoft’s approach to self-service • Demonstrate Microsoft self-service reporting technologies
Business Intelligence def. - the processes, tools, and technologies for turning data into information, and information into knowledge, and plans that lead to positive actions for the organization • Reporting • Exploratory Analysis • Performance Management • Predictive & Statistical Analysis
Business Intelligence Demands Predictive & Statistical Analysis Performance Management Exploratory Analysis Reporting
The Opportunity for Self-Service Business demand outpaces IT capacity High demand for less technically complex activities
Realizing the Opportunity for Self-Service Complete IT Dependence Full Business Self-Service People Complete IT Dependence Full Business Self-Service Process Technology
The People Component • Adoption should be actively encouraged • Users should be supported
The Process Component • Transitions should be carefully planned • Expectations should be actively managed
The Technical Component • Technologies need to be highly approachable • Tools should support varying degrees of sophistication • Tools should support publication and re-use
Business Intelligence Demands Predictive & Statistical Analysis Office Data Mining Add-Ins Office Performance Point Server Performance Management Office Excel Exploratory Analysis SQL ServerReport Builder 2.0 Reporting Analysis Services
Report Builder 2.0 • Office-like interface for high accessibility • Support for both casual and deeply technical users • Improvements to Reporting Servicestranslate into improved userexperience
Analysis Services 2008 • Internal metadata ensures accurate front-end data assembly • Fine-grained security model built into the database • High performance data retrieval better ensures end-user satisfaction
For More Information rclay@hitachiconsulting.com tsilva@hitachiconsulting.com bcsmith@hitachiconsulting.com