Optimizing Sales and Marketing Data
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Optimizing Sales and Marketing Data
Increase efficiency, improve profitability and reduce spend and become more confident handling and analyzing customer data for further insight.
Data quality issues are an ever-growing problem for sales and marketing. Professionals in these sectors are expected to understand, clean and categorise data, though they may not always be data professionals.
This book is designed to be a complete guide for sales and marketing professionals on how to clean and organise their data and create a framework for data governance to future-proof it. It explains how to build a taxonomy to allow for easy segmentation and targeting of customers and how this in turn reduces spend and maximises effectiveness whilst minimising unnecessary costs. As data is now the foundation of every company, making sure your data is clean, complete and correct has never been more important.
With practical examples and how-to guides throughout, Managing Sales and Marketing Data is immediately implementable, allowing readers to apply the knowledge to their own data right away. By being able to clean up and organise their data, sales and marketing professionals will be able to reduce their spend, increase their efficiency and profitability, and become more confident handling and analysing their customer data for further insights.
Book Details
INFORMATION
ISBN: 9781398623965
Publisher: Kogan Page Ltd
Format: Paperback / softback
Date Published: 03 March 2026
Country: United Kingdom
Imprint: Kogan Page Ltd
Audience: General / adult, Tertiary education, Professional and scholarly
DIMENSIONS
Spine width: 15.0mm
Width: 156.0mm
Height: 234.0mm
Weight: 666g
Pages: 256
About the Author
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.
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