Defining enterprise data and analytics strategy: (Record no. 5210)

MARC details
000 -LEADER
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
Holdings
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
    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

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