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TDWI Best Practices: Improving Data Preparation for Business Analytics

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Analyst Content Improving Data Preparation for Business Analytics
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Analyst Content Improving Data Preparation for Business Analytics
Improving Data Preparation for Business Analytics
Improving Data Preparation for Business Analytics
Rethinking the Traditional Ways of Preparing Data for Reporting, Analysis, and Sharing

If you’re trying to automate and scale your manual data preparation processes, this TDWI Best Practices report is a must-read. It is designed to help you put in place the right strategy, processes, and technologies to solve data preparation trials.

Content covers:
  • How to tap innovations in technology and best practices to establish smarter, more scalable, and more coordinated data preparation processes
  • How data preparation supports self-service and reduces the burden on IT, while ensuring that governance is part of the process
  • Approaches to handling current data troubles and preparing for future challenges brought on by new data and user requirements

Explore and compare how data prep works in both traditional environments such as data warehouses, and newer big-data frameworks such as Hadoop.
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