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Hype Cycle for Business Intelligence and Data Warehousing, 2005
5 July 2005
 
Frank Buytendijk   Ted Friedman   Bill Hostmann   Howard J. Dresner   Bill Gassman   Kurt Schlegel   Andreas Bitterer   Donald Feinberg   Alexander Linden   Mark A. Beyer   Gareth Herschel   Lee Geishecker   Nigel Rayner  

Compliance, the continuing data explosion and increasingly complex business environments keep driving business intelligence forward. From a technology perspective, BI is a healthy market with continued convergence and innovation.




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Pages: 19






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Table of Contents


1.0
    
 The Hype Cycle

2.0
    
 On the Rise

2.1
    
 Analytical Process Controlling
2.2
    
 64-Bit Hardware
2.3
    
 Cross-Enterprise Analytics
2.4
    
 Visual Business Intelligence Development Tools
2.5
    
 Open-Source Database Management Systems
2.6
    
 Text Mining
2.7
    
 Embedded Analytics
2.8
    
 Open-Source Business Intelligence
2.9
    
 Collaborative Business Intelligence
2.10
    
 Data Warehouse Appliances
2.11
    
 Advanced Analytics
2.12
    
 Convergence of Enterprise Business Intelligence Suites/Business Intelligence Platforms
2.13
    
 SOA-Enabled Business Intelligence

3.0
    
 At the Peak

3.1
    
 Business Activity Monitoring/Real-Time Business Intelligence
3.2
    
 Virtual Data Federation/Enterprise Information Integration
3.3
    
 Dashboards/Scorecards
3.4
    
 Corporate Performance Management

4.0
    
 Sliding Into the Trough

4.1
    
 Business-to-Business Business Intelligence Extranets
4.2
    
 Business Application Data Warehouses

5.0
    
 Climbing the Slope

5.1
    
 ETL Embedded in Database Management Systems
5.2
    
 Metadata Tools
5.3
    
 Data Quality
5.4
    
 OLE DB for OLAP/MDX and XML/A
5.5
    
 Data Mining Workbenches
5.6
    
 Business Intelligence Platforms
5.7
    
 Web Analytics

6.0
    
 Entering the Plateau

6.1
    
 ETL Tools
6.2
    
 Online Analytical Processing
6.3
    
 Enterprise Business Intelligence Suites
6.4
    
 Production/Formatted/Web Reporting

7.0
    
 Off the Hype Cycle

7.1
    
 Lightweight Reporting
7.2
    
 Business-to-Consumer Business Intelligence Extranets
7.3
    
 Reporting as Part of Enterprise Business Intelligence Suites
7.4
    
 Guided Analytics
7.5
    
 Advanced Visualization
7.6
    
 Extensible Markup Language for Analysis (XML/A) Standard
7.7
    
 XML Enablement/Business Intelligence Web Services
7.8
    
 OLE DB for OLAP/MDX
7.9
    
 Analytical CRM as Part of Business Intelligence
7.10
    
 Data Mining as Part of Business Intelligence

8.0
    
 Conclusions

9.0
    
 Appendix A: Previous Iteration of the Hype Cycle

10.0
    
 Appendix B: Hype Cycle Phases, Benefit Ratings and Maturity Levels


List of Tables


Table 1.  
 Hype Cycle Phases
 

Table 2.  
 Benefit Ratings
 

Table 3.  
 Maturity Levels
 

List of Figures


Figure 1. 
 Hype Cycle for Business Intelligence and Data Warehousing, 2005
 

Figure 2. 
 Hype Cycle for Business Intelligence, 2004
 



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