Titlebook: Defining Enterprise Data and Analytics Strategy; Pragmatic Guidance o Prakash Sah Book 2022 The Editor(s) (if applicable) and The Author(s)

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https://doi.org/10.1007/978-3-642-74244-6 and initiate, scale up, and institutionalize. OCM efforts increase considerably during the journey and criticality of change leadership increases exponentially. A change leader needs to be not only good in OCM planning but should also be good in managing the emotions of employees during the impleme

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2192-8096 ta 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 meas978-981-19-5721-5978-981-19-5719-2Series ISSN 2192-8096 Series E-ISSN 2192-810X

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Book 2022lytics 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 meas

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978-981-19-5721-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Defining Enterprise Data and Analytics Strategy978-981-19-5719-2Series ISSN 2192-8096 Series E-ISSN 2192-810X

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https://doi.org/10.1007/978-3-642-74244-6his point, many of them continue to struggle to define a holistic data and analytics strategy. 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. To de

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https://doi.org/10.1007/978-3-642-74244-6y. Different enterprises have different market challenges/opportunities and, therefore, different business priorities. Data and analytics strategy must be aligned with business priorities. Business capabilities can broadly be grouped into two categories: (a) enterprise performance management, and (b