Database testing is a critical aspect of development. BI and Data Warehouse testing is another level of testing that is key to ensuring the quality of your data throughout your BI system. Data quality, or lack of it, is a focus of many these days. Bad data is an epidemic, and data testing is the key to solving the epidemic while allowing you to have confidence in your data.
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From calendar alerts to information about our day, notifications allow us to never miss a thing. But what about in our work environment? Imagine it's closing time on a Friday and you execute a package or test knowing it will take hours, and leave for the weekend. What happens when it's Monday morning, you walk in expecting your results and see an error occurred moments after you left for the weekend? This situation can happen to anyone. Not only is it a huge waste of time, but it can be avoided.
We believe that bad data is an epidemic. The effects that bad data has on your business, your production and your decisions should not be taken lightly. In fact, bad data is costing organizations an estimated $3.1 trillion per year. Are you looking for a way to test your data to solve your bad data problems and help you gain confidence in your data?
There's a lot of talk about the need for BI and data warehouse testing to identify and fix bad data out there. What is the real purpose of BI and data warehouse testing? The purpose of data testing is to identify defects, which will add the new challenge of remediating the error. Who in your organization should be responsible for this?
In the world of data, it’s imperative to test your data warehouse and BI systems. If you’re not testing early in the process, then you run the risk of incorrect results and poor performance, which can result in restarting a BI project all over again— wasting time, effort and money, as well as creating bad business decisions and losing business.
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