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Intro to Business Intelligence

Slides from Trond Brande about Data warehouse BI from Microsoft

The battle for control of the enterprise Entity/BusinessObject/Dimension

Today's BI alternatives

Nowadays, we have to distinct approaches to BI. The traditional BI/DW strategy and the real-time BI strategy from the enterprise search platforms. The BI/DW approach is the dominant in today`s market, but the enterprise search approach has gained momentum the last few years.

Technology Strengths Weaknesses
Data Warehouse (DW) and Business Intelligence (BI) Tools, skill-set in the markets, analytical tools Batch-oriented, anti-agile, not real time , ability to include non-structured data
Search-driven Business Intelligence Real-time, non-structured data analytical tools, skill set in the market

Common perspectives

Data Warehouse (DW) and Business Intelligence (BI) and Search-driven Business Intelligence is real-only focused solution areas. If we add an Master Data Service strategy, we have the complete lifecycle of data covered in our architecture.

Case

Technical responsibilities and patterns

Architectural responsibility considerations

The wedding Data Warehouse (DW) and Business Intelligence (BI) and Search-driven Business Intelligence

The wedding OW SOA, Data Warehouse (DW) and Business Intelligence (BI) and Search-driven Business Intelligence

Patterns

  • BI CSV provider
  • Domain Object Change receiver

Conclusions

We have drafted some Example solutions combining Service-Oriented Architectrure, Business Inteligence and Enterprise Search Platforms to describe the responsibility and roles to the different parts of the architecture, and how they relate and collaborate to each oither.

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