The dashboards of today differ fundamentally from the relatively static dashboards of yore. According to some proponents, in fact, today's dashboard is the killer app that could finally take BI mainstream.
Enterprise-class data quality solutions incorporate a scalable, repeatable process for data quality management.
At the initial stage of the Enterprise Data Management Maturity Model, confusion reigns. Complicating the problem is that most organizations are in denial about the quality and usefulness of corporate data.
The key to understanding any company's operations is understanding the data. Consequently, the better quality the data is, the better the understanding.
C-level executives are finding themselves personally accountable for both the levels and processes associated with data governance and quality assurance.
With data monitoring, you can embrace techniques that will help you maintain the highest data-quality standards over the long haul.
The key to data mining is ensuring that you have a foundation of quality data that is clean, consistent, and accurate.
Why is the quality of data—the most important element in a data warehouse—so often ignored until it is too late? Is it because it is too complex to solve, or is it simply not our business?
2007 Best Practices Award Winner: Corporate Express US Inc.
Leveraging predictive analytics allowed Corporate Express to innovate past intuition and judgment to base pairing decisions on solid math.