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
1. Auflage 2022
ISBN: 978-981-19-5721-5
Verlag: Springer Nature Singapore

Buch, Englisch, 174 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 300 g

Reihe: Management for Professionals

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Sah, Prakash

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Wirtschaftswissenschaften Betriebswirtschaft Management Strategisches Management
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Wirtschaftswissenschaften Betriebswirtschaft Management Prozessmanagement
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

• Chapter 1: What is Data and Analytics Strategy
• Chapter 2: First Element of Strategy - Business Capabilities
• Chapter 3: Second Element of Strategy – Technology and Architecture
• Chapter 4: Third Element of Strategy – Team, Processes and Governance
• Chapter 5: Fourth Element of Strategy – Organizational Change Management
• Chapter 6: Fifth Element of Strategy – Value Measurement Framework
• Chapter 7: The profile of a Data and Analytics Leader

Über Autor(innen)

Linked-in profile: https://www.linkedin.com/in/prakash-sah-9581964/