Susan Walsh is The Classification Guru. She has been cleaning, classifying and fixing dirty data for over a decade and set up The Classification Guru Ltd 2017 to solve dirty data problems in the procurement world.

As well as an entrepreneur, Susan is an industry thought leader, an influencer and a global speaker. She has been listed in the DataIQ100 for the last two years, as well as winning DataIQ Data Champion 2022 and 2023. She’s also a Key Influencer for the Accounts Payable Association, promoting the benefits of clean data across many industries. She’s a published author of Between the Spreadsheets: Classifying and Fixing Dirty Data and has her own online course: Fixing Dirty Data – The Basics of Data Cleaning. In addition to this, Susan also has a TEDx Talk Say NO to NO about resilience, which has amassed 3k views and counting. Susan has created the data COAT framework, which has helped companies across the globe save time and money thanks to seeing the value in cleaning their ‘dirty data’.
She has attended well over a hundred events in the data and procurement space, whether that be as a speaker, an exhibitor, or as an influencer, and is still been active in tackling your dirty data!

Webinar Overview

The Dangers of Dirty Data with Susan Walsh – The Classification Guru
We all think we know what bad data looks like, but what is it and what are the consequences? With over a decade of experience fixing your dirty data, Susan Walsh is the Classification Guru.

Susan is Founder and Managing Director of The Classification Guru Ltd, a specialist data classification, taxonomy customisation and data cleansing consultancy. She is an industry thought leader, DataIQ100 Thought Leader and Data Champion 2022/23, TEDx speaker and author of ‘Between the Spreadsheets: Classifying and Fixing Dirty Data’. She’s also the founder of COAT. She 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. You’ll also learn how to make quick, accurate checks and changes to your own data in excel, regardless of your level of experience, explain why data accuracy and maintenance is so important and implement best practices for this.

Takeaways:
• The importance of data accuracy
• The consequences of dirty data
• How to ensure data accuracy
• Make sure your data has its COAT on
• How to spot check your data