An Introduction to Data Warehouse Testing
Now that every company strives to be a data-driven company, data quality is more critical than ever. According to Gartner, the average company loses $8.2B annually as a result of poor data quality. Moreover, a recent Experian study found that 83% of businesses see data as an integral part of forming a business strategy, yet they suspect 30% of their contact and prospect data may be inaccurate.
With improving the customer experience being a top priority, accurate data is essential. Testing data warehouse implementations has become imperative for instilling trust in the data that the business relies on.
Read this by paper by data quality analyst Wayne Yaddow to learn:
- Why data warehouse projects require specialized testing
- What’s involved in data warehouse testing
- How to build an effective data warehouse testing strategy and test plan
- What issues to look out for as you plan and execute tests
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