Data Science and Analytics Strategy: (Record no. 98160)
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000 -LEADER | |
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fixed length control field | 02064 a2200193 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 231201b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781032581903 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.74015 |
Cutter | AWA |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Awati, Kailash |
245 ## - TITLE STATEMENT | |
Title | Data Science and Analytics Strategy: |
Remainder of title | An Emergent Design Approach |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | CRC Press |
Date of publication, distribution, etc | 2023 |
Place of publication, distribution, etc | Boca Raton |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 204 p. |
520 ## - Remark | |
Summary, etc | This book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. Based on their experiences and those of a number of data leaders, the authors provide actionable advice on data technologies, processes, and governance structures so that readers can make choices that are appropriate to their organisational contexts and requirements.<br/><br/>The book blends academic research on organisational change and data science processes with real-world stories from experienced data analytics leaders, focusing on the practical aspects of setting up a data capability. In addition to a detailed coverage of capability, culture, and technology choices, a unique feature of the book is its treatment of emerging issues such as data ethics and algorithmic fairness.<br/><br/>Data Science and Analytics Strategy: An Emergent Design Approach has been written for professionals who are looking to build data science and analytics capabilities within their organisations as well as those who wish to expand their knowledge and advance their careers in the data space. Providing deep insights into the intersection between data science and business, this guide will help professionals understand how to help their organisations reap the benefits offered by data. Most importantly, readers will learn how to build a fit-for-purpose data science capability in a manner that avoids the most common pitfalls. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Data Science |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Analytics Strategy |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Scriven, Alexander |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | Business Analytics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Programme | Total Renewals | Full call number | Barcode | Date last seen | Date last borrowed | Cost, replacement price | Koha item type |
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Dewey Decimal Classification | Main Library | Main Library | Analytics | 01/12/2023 | 5797 | 970.00 | 1 | 005.74015 AWA | 119094 | 01/03/2025 | 10/01/2025 | 970.00 | Book |