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About this item
Highlights
- Data quality issues are an ever-growing problem for sales and marketing.
- About the Author: Susan Walsh is the Founder of The Classification Guru, a company that focuses on helping clients solve dirty data problems to maximise profitability and impact.
- 240 Pages
- Computers + Internet, Databases
Description
About the Book
Increase efficiency, improve profitability and reduce spend and become more confident handling and analyzing customer data for further insight.Book Synopsis
Data quality issues are an ever-growing problem for sales and marketing. Professionals in these sectors are expected to understand, clean and categorize data, though they may not always be data professionals.
Covering how to deal with and fix data disasters, this book is designed to be a complete guide for early-mid career 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, Optimizing 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 organize their data, sales and marketing professionals will be able to reduce their spend, increase their efficiency and profitability and become more confident handling and analyzing their customer data for further insights.About the Author
Susan Walsh is the Founder of The Classification Guru, a company that focuses on helping clients solve dirty data problems to maximise profitability and impact. Based in London, UK, she is an industry thought leader, influencer and global speaker. She has been listed in the DataIQ100 for the last two years, as well as winning DataIQ Data Champion 2022 and 2023 and is a finalist for The Great British Businesswoman Awards in the Technology category.Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W)
Suggested Age: 22 Years and Up
Number of Pages: 240
Genre: Computers + Internet
Sub-Genre: Databases
Publisher: Kogan Page
Theme: Data Mining
Format: Paperback
Author: Susan Walsh
Language: English
Street Date: March 31, 2026
TCIN: 1003632845
UPC: 9781398623965
Item Number (DPCI): 247-31-3801
Origin: Made in the USA or Imported
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Shipping details
Estimated ship dimensions: 1 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 1 pounds
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