E-Guide: Cleaning up the data analytics mess

Did you know that the process of data preparation can take up to 80% of all the work done in data analysis? Without proper data preparation, an analytics project is destined to fail.

Luckily, in this e-guide, our experts count down 6 data preparation best practices to ensure your analytics project results in meaningful, valuable analysis that provides a boon to your business. Here are three best practices now:

Best practice #1: Define successful data preparation
Best practice #2: Prioritize data sources based on the use case
Best practice #3: Use the right tools for the job

Learn more about each of these practices – and uncover the rest – by reading on now.

Vendor:: Cloudera
Posted:: Apr 5, 2022
Published:: Apr 1, 2022
Format:: PDF
Type:: eGuide

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