Overcoming Data Integration and Data Quality Challenges

End-User Survey Results

Publication Date	July 2008
Publisher	IDC
Product Type	Report
Pages	11
ISBN Number	not applicable
Product Code	IDC04424

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Summary

This IDC study addresses some of the steps organizations can take to affect the success of business intelligence initiatives through more effective use of data integration and data quality processes and technology. The study highlights research findings from two end-user surveys about the adoption of data integration and data quality solutions.

"The growing awareness about the value of BI and analytics as a competitive differentiator and subsequent need for more accurate, more frequent, and more granular access to information will continue to drive the overall data integration market." Dan Vesset, vice president, Business Analytics Solutions Research

Content

IDC Opinion
In This Study
- Methodology
Situation Overview
Figure: IDC's Business Analytics Taxonomy, 2008
- Demand for Better Information
- Table: Adoption of and Demand for Real-Time Data Integration
- Table: Change in Frequency of Batch Data Loads
- Satisfaction with Data Integration and Data Quality Capabilities
- Figure: Confidence Level in Information Access Capability
- Figure: Satisfaction Level with Data Quality
- Figure: Success Rate with ETL/Data Integration Initiatives
- Data Integration and Data Quality Challenges
- Figure: Most Frequent Business Analytics Project Challenges
- Supply of Solutions
- Figure: Addressing Data Quality and Data Integration Challenges
- Figure: Source of ETL/Data Integration Software
Future Outlook
Essential Guidance
Learn More
- Related Research
- Synopsis