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Defining Enterprise Data and Analytics Strategy = Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Defining Enterprise Data and Analytics Strategy/ by Prakash Sah.
其他題名:	Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies /
作者:	Sah, Prakash.
面頁冊數:	XV, 174 p. 39 illus., 6 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Applied Statistics. -
電子資源:	https://doi.org/10.1007/978-981-19-5719-2
ISBN:	9789811957192

Defining Enterprise Data and Analytics Strategy = Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies /
Sah, Prakash.

Defining Enterprise Data and Analytics StrategyPragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies /[electronic resource] :by Prakash Sah. - 1st ed. 2022. - XV, 174 p. 39 illus., 6 illus. in color.online resource. - Management for Professionals,2192-810X. - Management for Professionals,.

This book describes key elements of enterprise data and analytics strategy and prescribes a pragmatic approach to define strategy for large enterprises. It 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 inherent complexities of such initiatives. The book discusses key challenges that enterprises struggle with, such as—defining enterprise data and analytics strategy, and key elements that should be considered while doing so; limitations of one-size-fits-all approach which does not work for all enterprises; aligning data and analytics initiative with business strategy of the CEO; establishing a futuristic technology and architecture foundation, given the exponential rate of innovation in data and analytics technologies; defining the right data and analytics organization model and structure; reasons why data and analytics organization and processes need to be different from other functions; managing organizational change to ensure success of data and analytics initiative; defining a business value measurement framework and calculating ROI from data and analytics initiative; and key skills required in a data and analytics leader to wade through political and other challenges of a large enterprise. Often, data and analytics leaders define a strategy that is focused primarily on technology and architecture. This leads to failure of a majority of data and analytics initiatives across enterprises. The book recommends defining a holistic strategy through five key elements – (a) business capabilities, (b) technology and architecture, (c) team, processes, and governance, (d) organizational change management, and (e) value measurement framework. The book helps executives, chief digital/analytics officers, data and analytics professionals, consultants, and students in addressing various challenges and dilemmas that they face every day to make their enterprises more data driven.

ISBN: 9789811957192

Standard No.: 10.1007/978-981-19-5719-2doiSubjects--Topical Terms:

1205141
Applied Statistics.

LC Class. No.: HD30.28

Dewey Class. No.: 658.4012

Defining Enterprise Data and Analytics Strategy = Pragmatic Guidance on Defining Strategy Based on Successful Digital Transformation Experience of Multiple Fortune 500 and Other Global Companies /
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