Alignment of Business Intelligence and Service Oriented Architecture
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
- Mini-Case - Analysis of email traffic - Data warehouse or enterprise search platform?
- Case - Return Of Investment of a company internal strategic knowledge initiative
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.