Susan Walsh is the Founder of The Classification Guru, a company that helps organizations fix dirty sales, marketing and procurement data at scale to unlock profitability and smarter decision-making. A globally recognized data expert, Walsh is an industry thought leader, influencer and sought-after speaker. She has been listed in the DataIQ100, won DataIQ Data Champion in 2022 and 2023 and was a finalist for The Great British Businesswoman Awards in the Technology category. She has also been a two-time finalist for the British Data Awards' Data Leader of the Year.

• Chapter - 01: The importance of clean and classified sales and marketing data;Chapter - 02: What dirty sales and marketing data looks like;Chapter - 03: A framework for effective data governance;Chapter - 04: Why data must be cleaned for AI and GenAI to work properly;Chapter - 05: Normalizing company and brand names for more accurate analytics;Chapter - 06: Categorization of sales and marketing data for better business decisions;Chapter - 07: Cleaning key sales and marketing data points efficiently for accurate analytics;Chapter - 08: How a customized taxonomy can leverage your analytics and improve decision-making;Chapter - 09: How to maintain data to future-proof it;Chapter - 10: Spot-checking data to avoid future errors;Chapter - 11: Data disasters and how to fix them;Chapter - 12: Real-world projects;Chapter - 13: Summary;

"As a Sales Leader, I cannot stress the importance of accuracy enough! This book provides an exemplary framework for anyone who leads sales strategy and sales methodology for all things Data. Without visible accurate data, businesses cannot possibly make informed decisions. This book will change the way you think about data accuracy for good!"

Susan Walsh is the Founder of The Classification Guru, a company that helps organizations fix dirty sales, marketing and procurement data at scale to unlock profitability and smarter decision-making. A globally recognized data expert, Walsh is an industry thought leader, influencer and sought-after speaker. She has been listed in the DataIQ100, won DataIQ Data Champion in 2022 and 2023 and was a finalist for The Great British Businesswoman Awards in the Technology category. She has also been a two-time finalist for the British Data Awards' Data Leader of the Year.

• Chapter - 01: The importance of clean and classified sales and marketing data;Chapter - 02: What dirty sales and marketing data looks like;Chapter - 03: A framework for effective data governance;Chapter - 04: Why data must be cleaned for AI and GenAI to work properly;Chapter - 05: Normalizing company and brand names for more accurate analytics;Chapter - 06: Categorization of sales and marketing data for better business decisions;Chapter - 07: Cleaning key sales and marketing data points efficiently for accurate analytics;Chapter - 08: How a customized taxonomy can leverage your analytics and improve decision-making;Chapter - 09: How to maintain data to future-proof it;Chapter - 10: Spot-checking data to avoid future errors;Chapter - 11: Data disasters and how to fix them;Chapter - 12: Real-world projects;Chapter - 13: Summary;

"As a Sales Leader, I cannot stress the importance of accuracy enough! This book provides an exemplary framework for anyone who leads sales strategy and sales methodology for all things Data. Without visible accurate data, businesses cannot possibly make informed decisions. This book will change the way you think about data accuracy for good!"

Susan Walsh is the Founder of The Classification Guru, a company that helps organizations fix dirty sales, marketing and procurement data at scale to unlock profitability and smarter decision-making. A globally recognized data expert, Walsh is an industry thought leader, influencer and sought-after speaker. She has been listed in the DataIQ100, won DataIQ Data Champion in 2022 and 2023 and was a finalist for The Great British Businesswoman Awards in the Technology category. She has also been a two-time finalist for the British Data Awards' Data Leader of the Year.

• Chapter - 01: The importance of clean and classified sales and marketing data;Chapter - 02: What dirty sales and marketing data looks like;Chapter - 03: A framework for effective data governance;Chapter - 04: Why data must be cleaned for AI and GenAI to work properly;Chapter - 05: Normalizing company and brand names for more accurate analytics;Chapter - 06: Categorization of sales and marketing data for better business decisions;Chapter - 07: Cleaning key sales and marketing data points efficiently for accurate analytics;Chapter - 08: How a customized taxonomy can leverage your analytics and improve decision-making;Chapter - 09: How to maintain data to future-proof it;Chapter - 10: Spot-checking data to avoid future errors;Chapter - 11: Data disasters and how to fix them;Chapter - 12: Real-world projects;Chapter - 13: Summary;

"As a Sales Leader, I cannot stress the importance of accuracy enough! This book provides an exemplary framework for anyone who leads sales strategy and sales methodology for all things Data. Without visible accurate data, businesses cannot possibly make informed decisions. This book will change the way you think about data accuracy for good!"