A Step-by-Step Guide to Data Preparation

Well-planned and properly executed data preparation influences analysis outcomes and impacts downstream applications. In fact, data scientists can spend up to 80% of their time on data preparation, with 60% of that dedicated to cleaning and organizing. When performed correctly, data preparation leads to high-quality, reliable data that turns into insights you can count on.

This eBook aims to establish a sound understanding of data preparation by explaining what it is and what it does. It also features a step-by-step guide covering all six stages (collection, profiling, cleansing, structuring, enrichment, and validation/publishing), along with the top 5 challenges teams face and how to overcome them.

If you want a bullet list instead of the second paragraph as prose, here's that version:

This eBook covers:

• What data preparation is and why it matters

• 5 benefits of data preparation

• A step-by-step guide through all six stages: collection, profiling, cleansing, structuring, enrichment, and validation/publishing

• 5 common data preparation challenges and best practices to overcome them

• The future of data preparation, including a $16.88 billion market projection by 2030