Improving Data Preparation for Business Analytics

Business users want the power of analytics, but analytics can only be as good as the data. The biggest challenge business users are encountering is the same one that has been a steep challenge for data scientists: slow, difficult, and tedious data preparation. Clearly documenting data preparation steps can be helpful in making governance more effective by giving users the confidence that they are working with trusted data in BI and analytics projects.

Veteran analyst David Stodder summarizes 12 analytics teams’ successes and failures in this TDWI Best Practices Report. Both Fortune 500 as well as small to medium-size businesses’ experiences with data preparation, their goals, and objectives, and different technology trends reshaping the data preparation process are summarized in this comprehensive report.


[honeypot honeypot-668]