Between the spreadsheets :: classifying and fixing dirty data /
"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 Fix...
Saved in:
Main Author: | |
---|---|
Format: | Electronic eBook |
Language: | English |
Published: |
London :
Facet Publishing,
[2021].
|
Subjects: | |
Online Access: | DE-862 DE-863 |
Summary: | "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." -- |
Physical Description: | 1 online resource (xxii, 158 pages) : illustrations |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781783305230 1783305231 |
Staff View
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245 | 1 | 0 | |a Between the spreadsheets : |b classifying and fixing dirty data / |c Susan Walsh. |
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520 | |a "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." -- |c Provided by publisher. | ||
505 | 0 | 0 | |t The Dangers of Dirty Data -- |t Supplier Normalisation -- |t Taxonomies -- |t Spend Data Classification -- |t Basic Data Cleansing -- |t Other Methodologies -- |t The Dirty Data Maturity Model -- |t Data Horror Stories -- |g Summary. |
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author | Walsh, Susan (Data management consultant) |
author_GND | http://id.loc.gov/authorities/names/no2022041506 |
author_facet | Walsh, Susan (Data management consultant) |
author_role | aut |
author_sort | Walsh, Susan (Data management consultant) |
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callnumber-subject | QA - Mathematics |
collection | ZDB-4-EBU |
contents | The Dangers of Dirty Data -- Supplier Normalisation -- Taxonomies -- Spend Data Classification -- Basic Data Cleansing -- Other Methodologies -- The Dirty Data Maturity Model -- Data Horror Stories -- |
ctrlnum | (OCoLC)1269193124 |
dewey-full | 005.7565 005.8 |
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discipline | Informatik |
format | Electronic eBook |
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illustrated | Illustrated |
indexdate | 2025-03-18T14:28:13Z |
institution | BVB |
isbn | 9781783305230 1783305231 |
language | English |
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spelling | Walsh, Susan (Data management consultant), author. https://id.oclc.org/worldcat/entity/E39PCjxvBJYjCKtDbFDpbhhVhb http://id.loc.gov/authorities/names/no2022041506 Between the spreadsheets : classifying and fixing dirty data / Susan Walsh. London : Facet Publishing, [2021]. ©2021 1 online resource (xxii, 158 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file rdaft Includes bibliographical references and index. "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." -- Provided by publisher. The Dangers of Dirty Data -- Supplier Normalisation -- Taxonomies -- Spend Data Classification -- Basic Data Cleansing -- Other Methodologies -- The Dirty Data Maturity Model -- Data Horror Stories -- Summary. Online resource; title from PDF title page (viewed October 2, 2021). Database management. http://id.loc.gov/authorities/subjects/sh85035848 Databases Quality control. Database searching. http://id.loc.gov/authorities/subjects/sh86007858 Electronic spreadsheets. http://id.loc.gov/authorities/subjects/sh85042371 Bases de données Gestion. Bases de données Interrogation. Tableurs. online searching. aat Database management fast Database searching fast Databases Quality control fast Electronic spreadsheets fast Print version: Walsh, Susan (Data management consultant). Between the spreadsheets. London : Facet Publishing, 2021 9781783305032 (OCoLC)1251503026 |
spellingShingle | Walsh, Susan (Data management consultant) Between the spreadsheets : classifying and fixing dirty data / The Dangers of Dirty Data -- Supplier Normalisation -- Taxonomies -- Spend Data Classification -- Basic Data Cleansing -- Other Methodologies -- The Dirty Data Maturity Model -- Data Horror Stories -- Database management. http://id.loc.gov/authorities/subjects/sh85035848 Databases Quality control. Database searching. http://id.loc.gov/authorities/subjects/sh86007858 Electronic spreadsheets. http://id.loc.gov/authorities/subjects/sh85042371 Bases de données Gestion. Bases de données Interrogation. Tableurs. online searching. aat Database management fast Database searching fast Databases Quality control fast Electronic spreadsheets fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85035848 http://id.loc.gov/authorities/subjects/sh86007858 http://id.loc.gov/authorities/subjects/sh85042371 |
title | Between the spreadsheets : classifying and fixing dirty data / |
title_alt | The Dangers of Dirty Data -- Supplier Normalisation -- Taxonomies -- Spend Data Classification -- Basic Data Cleansing -- Other Methodologies -- The Dirty Data Maturity Model -- Data Horror Stories -- |
title_auth | Between the spreadsheets : classifying and fixing dirty data / |
title_exact_search | Between the spreadsheets : classifying and fixing dirty data / |
title_full | Between the spreadsheets : classifying and fixing dirty data / Susan Walsh. |
title_fullStr | Between the spreadsheets : classifying and fixing dirty data / Susan Walsh. |
title_full_unstemmed | Between the spreadsheets : classifying and fixing dirty data / Susan Walsh. |
title_short | Between the spreadsheets : |
title_sort | between the spreadsheets classifying and fixing dirty data |
title_sub | classifying and fixing dirty data / |
topic | Database management. http://id.loc.gov/authorities/subjects/sh85035848 Databases Quality control. Database searching. http://id.loc.gov/authorities/subjects/sh86007858 Electronic spreadsheets. http://id.loc.gov/authorities/subjects/sh85042371 Bases de données Gestion. Bases de données Interrogation. Tableurs. online searching. aat Database management fast Database searching fast Databases Quality control fast Electronic spreadsheets fast |
topic_facet | Database management. Databases Quality control. Database searching. Electronic spreadsheets. Bases de données Gestion. Bases de données Interrogation. Tableurs. online searching. Database management Database searching Databases Quality control Electronic spreadsheets |
work_keys_str_mv | AT walshsusan betweenthespreadsheetsclassifyingandfixingdirtydata |