Defining enterprise data and analytics strategy: (Record no. 5210)
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000 -LEADER | |
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fixed length control field | 02339nam a22001937a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20230427153807.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 230427b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789811957185 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 658.403 |
Item number | SAH |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Sah, Prakash |
245 ## - TITLE STATEMENT | |
Title | Defining enterprise data and analytics strategy: |
Remainder of title | pragmatic guidance on defining strategy based on successful digital transformation experience of multiple fortune 500 and other global companies |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Springer |
Place of publication, distribution, etc. | Switzerland |
Date of publication, distribution, etc. | 2022 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xiv, 174 p. |
365 ## - TRADE PRICE | |
Price type code | EURO |
Price amount | 74.99 |
490 ## - SERIES STATEMENT | |
Series statement | Management for Professionals |
520 ## - SUMMARY, ETC. | |
Summary, etc. | This is the first of its kind book that describes key elements of enterprise data and analytics strategy, and prescribes a pragmatic approach to define the strategy for large enterprises. The book is based on successful digital transformation experience of multiple Fortune 500 and other large enterprises. It is estimated that more than 50% of data and analytics initiatives fail globally because of the inherent complexity of such initiatives. Some of the questions that enterprises struggle with are: How to define enterprise data and analytics strategy? What are the key elements that should be considered while doing so? Why one-size-fits-all approach does not work for all enterprises? How to align data and analytics initiative with the business strategy of the CEO? How to establish a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies? How to define the right data and analytics organization model? Why data and analytics organization and processes need to be different from other functions? How to manage organizational change to ensure success of data and analytics initiative? How to define a business value measurement framework and calculate ROI from data and analytics initiative? What are the key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise? This book will help executives, chief digital/analytics officers, data and analytics professionals, and consultants, in answering the above questions. It will help them in addressing various dilemmas that they face every day and making their enterprises data-driven. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Enterprise data |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Accession Number | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | IT & Decisions Sciences | 23-24/9439 | 24-04-2023 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 04/27/2023 | Bharat Book Distributors | 4546.01 | 1 | 1 | 658.403 SAH | 004918 | 09/07/2023 | 05/01/2023 | 1 | 6914.08 | 04/27/2023 | Book |