Idea Integration tackled the issues; they worked very effectively with our business teams to implement new reports and data warehouse solutions quickly. They complemented our strong team with solid technical skills, great project management skills, and a real partnership approach. I highly recommend them.
- David Thornewell von Essen
Director, Program Management
DHL Worldwide Express
Home > BI Solutions > BI Data Quality Management
Data quality often dictates the success of a business intelligence project. The most common complaint heard from the user community is that the information displayed on their reports, dashboard, or scorecards is incorrect. This leads users to abandon the system and creates considerable re-work for the development team. Idea BI emphasizes data quality at the beginning of every BI engagement and continues this emphasis throughout the entire lifecycle. Our focus on data quality includes gaining stakeholder consensus on definition of master data and metrics, identifying data stewards, building and launching data quality programs, and establishing processes for analyzing and remediating data issues.
No one will argue the virtue of accurate and timely data. However, many BI systems are implemented with data quality taking a back seat to the front-end graphic user interface. This is often caused by timeline demands placed on the BI teams for quick development and launch. However, the trade-off becomes evident when users begin to reject the system for its lack of data fidelity.
The Idea BI Roadmap methodology makes data quality the cornerstone of its success. Immediately after gathering business requirements, we launch data profiling activity. We analyze each data source for its ability to meet the needs of the business. Through rapid feedback, Idea BI can set expectations with the business and IT community. Any gaps in the data are documented using our templates and the results are discussed and addressed as a team.