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See the most recent Vendor articles below.
Why data scientists should be aware of cognitive biases, how augmented analytics can transform business data, and who should be hired for a strong data team.
Are you measuring the right KPIs? Are your employees engaged and involved in setting and meeting these goals? Gtmhub's Seth Elliott offers practical advice.
For data lakes, as with any valuable enterprise data set, architecture is a requirement. But it is also a moving target, due to ongoing evolution.
Executive Summary for the TDWI Best Practices Report: Data Management for Advanced Analytics
The fundamentals of a strong data strategy, how to monitor and develop your data culture, and a model for transforming your business at scale.
Contact validation tools increase the speed and accuracy of critical tracing activities.
Before it can be used to train ML models, your data must be clean and consistent. These steps can help get your data in the proper shape.
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