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.
