Data Warehousing & Business Intelligence:
Your analyses and reports depend on quality data
Consider this scenario: six managers, each representing a different business unit, walk into an important strategy meeting carrying comprehensive reports about business performance. Each manager is prepared to make suggestions based on the reports in hand. But the reports, ostensibly compiled from a common set of data, reflect entirely different numbers. No one is sure which, if any, set of numbers is accurate. Or actionable. Consequently, important decisions are postponed, crucial initiatives are delayed.
Unfortunately, this hypothetical case is a real-life nightmare every day for organizations all over the world. The problem? Inconsistent data. Scattered or misplaced values. Outdated and duplicated records. And no one sure way of linking related data, including customers, products, transactions, financials and more.
Look at the numbers:
- 2% of even the best data goes stale every month
- Up to 70% of all data warehousing work fails due to poor data quality
- Automated data cleansing and correcting can save as much as 90% of the time required by manual efforts
Solve data problems at their roots
The Trillium Software System® is an automated process that corrects the root causes of data problems before they infect your data warehousing and business intelligence efforts. With Trillium Software, you can:
- Master enterprise-wide data seamlessly from multiple sources, applications and systems.
- Identify potential trouble spots in your data before it’s loaded into your warehouse.
- Intercept incoming data in real time to correct, cleanse and standardize data as it arrives from Web forms, customers, sales representatives, POS, and more.
- Link related data for unified views of customers and products that may be accurately analyzed within the categories or taxonomies you create.
- Correct misplaced, misspelled and misfielded data to capture valuable information that might otherwise have been lost.
- Produce more accurate operations figures, projections and analyses with more precise and consistently reliable data.
- Monitor and measure data quality over time to uncover emerging issues become they become threats.