DO YOU TRUST YOUR DATA? KNOW THE ANSWER WITH EIM! Jose Hernandez Director, Business Intelligence Dunn Solutions Group.

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Presentation transcript:

DO YOU TRUST YOUR DATA? KNOW THE ANSWER WITH EIM! Jose Hernandez Director, Business Intelligence Dunn Solutions Group

Trusting Your Business Intelligence  Focus: “trusting your data” using data lineage.  A sub-topic of Enterprise Information Management (EIM)  Other EIM topics that contribute to “trusting your data lineage” Data Integration Metadata Management Data Federation

Trusting Your Business Intelligence In order to trust your data, you must manage your data. Enterprise Information Management

Trusting Your Business Intelligence  Data Warehouse = Trusted System  Source systems, ETL, ODS, and marts  These are very critical components  Provide the foundation to allow you to manage your enterprise data  Next Step: Enterprise Information Management Enterprise Information Management

Enterprise Information Management (EIM)  Business Objects tools that help enable EIM  Data Integrator  Data Quality  Metadata Manager  Data Federator ETL Data Quality Data Federation Metadata Mgmt

Metadata Management  Metadata Manager  Integrate and Consolidate metadata.  Track usage via metadata auditing.  Impact analysis and data lineage.  Export to Business Objects Universe. Stores all your metadata in one repository – from a variety of sources.

Metadata Management  Metadata Integrators  BusinessObjects Enterprise Integrator: Crystal Reports, Universes, Universe Objects, Web Intelligence docs, Desktop Intelligence docs  Common Warehouse Model Integrator: Catalogs, Schemas, Tables, Columns, Views  BusinessObjects Data Integrator: Sources and Targets for ETL jobs, Data stores, Projects, File Formats…  RDBMS: Catalogs, Schemas, Tables, Cols, Views, Stored Procedures, Keys, Synonyms, Aliases

Metadata Management  Metadata Manager Repository  BI metadata  Data modeling metadata  ETL metadata  RDBMS metadata

Data Federator Note: Data Federator does not replace a data warehouse  Typically, data warehouses:  Combine information from multiple data sources  Trend over time  Are refreshed nightly  Data Federator  Real-time data integration  Provides virtual data integration

Data Federator  High-Performance – On Demand  Optimized query engine improves performance by up to as much as 3 times (vs going directly at the sources to get the results)  Query simplification algorithms ensure efficient SQL across sources  Real-Time, Trusted Information  Retrieve current data  Real-time data cleansing features  Full user authentication Note: Data Federator does not replace a data warehouse

Summary: Trust Your Data and Prove It  Questions you may ask…  Where did the data come from?  What calculations were done to get the value?  How fresh is this information?  Did anyone or anything have access to the information (did anyone modify the data)?  Can I trust this information?  If you put an EIM strategy in place, and use BusinessObjects EIM technology: YES

 Questions  Jose Hernandez, Director of Business Intelligence  Dunn Solutions Group  I will repeat questions to ensure everyone can hear  Contact information   Tel: (847) Q&A