Session: The Dangers of Dirty Data....and how to fix it
What is dirty data, and what are the consequences?
Susan Walsh, The Classification Guru has spent 8 years classifying spend data and will share with you the importance of data accuracy and examples of how this affects the end-user in terms of supplier normalisation and data classification, and she will show you how to make quick spot checks of your data to find these and ensure data accuracy for your data moving forward.
Bio: Susan Walsh
Susan Walsh is the founder of The Classification Guru, fixer of dirty data and a specialist in data classification, supplier normalisation, taxonomy development and data cleansing. She brings clarity and accuracy to data and helps procurement and data teams to work more effectively and efficiently, finding cost savings through spend and time management and supporting better, more informed business decisions, delivering a strong ROI.
After eight years of working with data, Susan has developed a methodology to accurately and efficiently classify, cleanse and check data for errors which will help prevent costly mistakes from happening and save hours, if not days of laborious data cleansing and classifying by in-house teams.
Susan is passionate about highlighting awareness and the value around addressing the issues of “dirty data” and it’s consequences in an entertaining and engaging way through her YouTube channel, LinkedIn, webinars and speaking engagements.