Data Assurance

Assuring the quality and provenance of your data is vital for both operational and analytic purposes. As we use data more and more, and especially as we increasingly automate the processing of that data, we need the assurance that the data is both accurate, timely and complete. In other words we need to be able to trust the data we are using. However, there are two aspects to this: from an internal corporate perspective you need to be able to trust your data to support decision making as well as operational processes; but on the other hand customers need to be able to trust you to keep their data secure and to know that you will not misuse that data.

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