Classifying and Fixing Dirty Data Between the Spreadsheets

Learn how to classify and fix dirty data between the spreadsheets and also learn how to make quick, accurate checks and changes to your own data in Excel

In this session, Susan Walsh will share real-life examples of dirty data, and the consequences it has on the output, such as decision-making, reporting, analytics, AI, and machine learning. Regardless of your level of experience, explain why data accuracy and maintenance are so important, and implement best practices for this.

From identifying anomalies to implementing effective cleanup, we guide you step-by-step through the process, ensuring your data is primed for accurate insights. Join us in mastering the art of data transformation and elevate your data analysis game today!

Table of Contents:
00:00 Introduction
06:42 What is dirty data
19:08 The consequences of dirty data
24:31 Ensuring data accuracy
28:10 Maintain and spot-check your data
32:22 Other tools
34:49 The dirty data maturity
38:11 Summary
42:00 QnA

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