Between the Spreadsheets
Classifying and Fixing Dirty Data
«
'If you are teaching data science then all your students should be made aware of this book. When it comes to organisations. I can’t see any reason for not making sure that anyone managing an Excel data base has a copy to refer to.... Excellent value for the price'
-Martin White, Informer'I gained many practical tips for using a spreadsheet to clean data, and alternate ways of approaching classification while reading this book - there is hope for cleaner data!'
»
- Mary Silvia Whittaker, SLA Taxonomy
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.
Les mer
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.
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.
Detaljer
- Forlag
- Facet Publishing
- Innbinding
- Paperback
- Språk
- Engelsk
- Sider
- 188
- ISBN
- 9781783305032
- Utgivelsesår
- 2021
- Format
- 23 x 16 cm
Anmeldelser
«
'If you are teaching data science then all your students should be made aware of this book. When it comes to organisations. I can’t see any reason for not making sure that anyone managing an Excel data base has a copy to refer to.... Excellent value for the price'
-Martin White, Informer'I gained many practical tips for using a spreadsheet to clean data, and alternate ways of approaching classification while reading this book - there is hope for cleaner data!'
»
- Mary Silvia Whittaker, SLA Taxonomy
«
'I have rarely found such a brilliant argument about the importance of COAT - the overall approach to the management of data. The author approaches all her topics with palpable humour and presents them in lively and attractive style. A relevant acquisition for business information departments or their equivalents in public libraries as much as putting it on the desks of the people dealing with all kinds of business data.'
»
Elena Maceviciute, Swedish School of Library and Information Science