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2017 | OriginalPaper | Buchkapitel

Big Data Framework for Agile Business (BDFAB) As a Basis for Developing Holistic Strategies in Big Data Adoption

verfasst von : Bhuvan Unhelkar

Erschienen in: Big Data and Visual Analytics

Verlag: Springer International Publishing

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Abstract

The Big Data Framework for Agile Business (BDFAB) is the result of exploration of the value of Big data technologies and analytics to business. BDFAB is based on literature review, modeling, experimentation and practical application. BDFAB incorporates multiple disciplines of Information Technology, Business Innovation, Sociology and Psychology (people and behavior, Social-Mobile media), Finance (ROI), Processes (Agile), User Experience, Analytics (descriptive, predictive and prescriptive) and Staff Up-skilling (HR). This paper presents the key elements of the framework comprising agile values, roles, building blocks, artifacts, conditions, agile practices and a compendium (repository). The building blocks themselves are made up of five modules: business decisions, Data—technology and analytics, user experience-operational excellence, quality dimensions and people—capabilities. As such, BDFAB exhibits an interdisciplinary approach to Big Data adoption in practice.

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Titel: Big Data Framework for Agile Business (BDFAB) As a Basis for Developing Holistic Strategies in Big Data Adoption
verfasst von: Bhuvan Unhelkar
Verlag: Springer International Publishing
Buch: Big Data and Visual Analytics
Print ISBN: 978-3-319-63915-4

Electronic ISBN: 978-3-319-63917-8

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-63917-8_5

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