Data Management for BI: Fueling the Analytical Engine with High-Octane Information

  • ID: 1632827
  • January 2011
  • Region: Global
  • Aberdeen Group
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Perhaps the most important aspect of efficient business intelligence (BI) is the underlying data that feeds into the analytical systems. Cleanliness, relevance, and timeliness are all crucial aspects of data that dictate the quality of the business insight that can be generated from its analysis. As business data continues to grow in both volume and complexity, the need for efficient data management becomes an even greater imperative. Best-in-Class companies recognize the importance of these factors and have aligned resources internally to provide access to more key business data, metabolize new disparate data sources quicker, and deliver valuable insights within the window of opportunity to effect positive change.

This report is based on feedback from 370 end-user organizations across the globe.

Key benefits:

- Deliver Critical Information On-Time
- Provide More Information for Analysis
- Increase Organic Revenue

Aberdeen used the following three key performance criteria to distinguish Best-in-Class companies:

- 12 days to integrate new data sources, compared to 60 days for the Industry Average, and 143 days for Laggards
- 93% of information delivered in "right-time" compared iwht 80% for the Industry Average and 34% for Laggards
- 82% of respondents "satisfied" or "very satisfied" with their information environment, compared with 37% of Industry Average companies and 8% of Laggards

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Executive Summary

Best-in-Class Performance

Competitive Maturity Assessment

Required Actions

Chapter One: Benchmarking the Best-in-Class
- Business Context
- The Maturity Class Framework
- The Best-in-Class PACE Model
- Best-in-Class Strategies

Chapter Two: Benchmarking Requirements for Success
- Competitive Assessment
- Capabilities and Enablers

Chapter Three: Required Actions
- Laggard Steps to Success
- Industry Average Steps to Success
- Best-in-Class Steps to Success

Appendix A: Research Methodology

Appendix B: Related Aberdeen Research

List of Figures

Figure 1: Data Growth and Complexity by Company Size
Figure 2: Top Pressures Driving Data Management Initiatives
Figure 3: Key Strategic Actions to Support Data Management
Figure 4: Breakdown of Data Sources Feeding into BI
Figure 5: Process and Organizational Capabilities
Figure 6: Knowledge and Performance Management Capabilities
Figure 7: Key Technology Enablers in Use
Figure 8: Addressing More Data in Less Time
Figure 9: Data Management Strategy - Central or Fragmented?

List of Charts

Table 1: Top Performers Earn Best-in-Class Status
Table 2: The Best-in-Class PACE Framework
Table 3: The Competitive Framework
Table 4: The PACE Framework Key
Table 5: The Competitive Framework Key
Table 6: Relationship Between PACE and the Competitive Framework

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Note: Product cover images may vary from those shown


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