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Big Data Strategies for Agile Business




ISBN 9781498724388
Published September 14, 2017 by Auerbach Publications
503 Pages - 120 B/W Illustrations

 
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Book Description

Agile is a set of values, principles, techniques, and frameworks for the adaptable, incremental, and efficient delivery of work. Big Data is a rapidly growing field that encompasses crucial aspects of data such as its volume, velocity, variety, and veracity. This book outlines a strategic approach to Big Data that will render a business Agile. It discusses the important competencies required to streamline and focus on the analytics and presents a roadmap for implementing such analytics in business.

Table of Contents

Introduction to Big Data and Agile Business

Big Data Framework for Agile Business (BDFAB)

Data Science – Analytics, Context and Strategies

Business Process Modeling (BPM); Agile Practices; Big Data Adoption Process

Enterprise Architecture (EA) and the Big Data Technical Eco-System

Social Mobile (SoMo), Presentation and User Experience in Big Data

Cloud-Based Big Data Strategies; Sustainability; Analytics-as-a-Service (AaaS)

Big Data, Semantic Web and Collaborative Business Process Engineering (CBPE)

NoSQL Databases and Big Data Strategies

Quality& Service Assurance, Testing and Governance-Risk-Compliance (GRC) Within Big Data

Big Data People and Communities

Functioning Agile Organization with Big Data Adoption

 Big Data and Banking: A-Bank Case Study

Big Data and Health

Big Data and Education

Appendices

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Author(s)

Biography

Bhuvan Unhelkar, PhD, is a business consultant and founder of MethodScience