Between the Spreadsheets: Classifying and Fixing Dirty Data

ISBN-13: 9781783305032 / Angielski / Miękka / 2021 / 188 str.

Susan Walsh

Opis

Dirty data is a problem that costs businesses thousands, if not millions, every year. In organisations large and small across the globe you will hear talk of data quality issues. What you will rarely hear about is the consequences or how to fix it. Between the Spreadsheets: Classifying and Fixing Dirty Data draws on classification expert Susan Walsh's decade of experience in data classification to present a fool-proof method for cleaning and classifying your data. The book covers everything from the very basics of data classification to normalisation, taxonomies and presents the author's proven COAT methodology, helping ensure an organisation's data is Consistent, Organised, Accurate and Trustworthy. A series of data horror stories outlines what can go wrong in managing data, and if it does, how it can be fixed. After reading this book, regardless of your level of experience, not only will you be able to work with your data more efficiently, but you will also understand the impact the work you do with it has, and how it affects the rest of the organisation. Written in an engaging and highly practical manner, Between the Spreadsheets gives readers of all levels a deep understanding of the dangers of dirty data and the confidence and skills to work more efficiently and effectively with it.

Spis treści

Between the Spreadsheets: Classifying and Fixing Dirty Data

O autorze

Susan Walsh is Founder and Managing Director of The Classification Guru, a specialist data classification, taxonomy customisation and data cleansing consultancy. Susan’s work provides clarity and accuracy to data to help businesses work more effectively, find cost savings through spend and time management, support better and more informed business decisions and deliver strong ROI. Susan has classified data across a number of different sectors, countries and languages, as well as managing and training teams to do the same. She is author of numerous articles on data issues and is a 2021 TEDx speaker and British Data Awards finalist.