Thursday Jan 17, 2008

Business Intelligence

Business Intelligence

Business Intelligence drives Business and IT Performance

In today’s highly competitive business climate, making better decisions faster
can mean the difference between surviving and thriving. The challenges are
managing the exponential growth of data in a cost-effective and secure manner,
while transforming relevant data into information for decision support needs. Sun takes the cost and complexity out of today’s business intelligence and data warehouse requirements with a single open platform whose architecture can scale to meet your entire needs from deployment today to meeting your growth needs tomorrow. The results are faster access to information, the ability to make better decisions quickly and speed up time to market.

Sun has more 2000 customers references in business intelligence and data warehousing in the world on all industries (bank/finance, manufacture, retail, government, telco...)
Sun Microsystems developed a network competenties and expert in Business Intelligence and Data Warehousing around the world and working with its partners : SAS, Oracle, Informatica, SAP, etc.
The Sun Microsystems Business Intelligence Solutions integrate specific services around Extraction, Transformation and Loading,  Database, Reporting, OnLine Analytical Processing, Technical architectures, Proof-of-Concept and Benchmarks.

See performance results
DMreview, Wintercorp, TPC           

The qualification of the Business Intelligence technical architecture is declined according three assumptions :

  1. Data storage volume : for disk sizing. technical architecture support the data volume. The useful volume is the raw volume for operational systems with index, agregats, metadata and data work for database system.
  2. Extract, transform and load : for extraction, transformation and data loading. The technical architecture support for ETL process is based on the data flow volume and data processing.
  3. Users volume : for sizing users activities (Reporting, OnLine Analytical Processing). The technical architecture support for reporting process is based on concurrent users number on Data Warehouse and Data Marts.
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Business stakes are changing, the IT infrastructure must be increasingly reactive to significantly reduce Time To Market. Today, we have the technology and methodology addressing these new business challenges.

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