Aligning Business Strategies and Analytics

£109.50

Aligning Business Strategies and Analytics

Bridging Between Theory and Practice

Management decision making Business mathematics and systems Operational research Databases

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Collection: Advances in Analytics and Data Science

Language: English

Published by: Springer

Published on: 27th September 2018

Format: LCP-protected ePub

Size: 10 Mb

ISBN: 9783319932996


Introduction

This book examines issues related to the alignment of business strategies and analytics. Vast amounts of data are being generated, collected, stored, processed, analyzed, distributed and used at an ever-increasing rate by organizations. Simultaneously, managers must rapidly and thoroughly understand the factors driving their business. Business Analytics is an interactive process of analyzing and exploring enterprise data to find valuable insights that can be exploited for competitive advantage. However, to gain this advantage, organizations need to create a sophisticated analytical climate within which strategic decisions are made. As a result, there is a growing awareness that alignment among business strategies, business structures, and analytics are critical to effectively develop and deploy techniques to enhance an organization’s decision-making capability. In the past, the relevance and usefulness of academic research in the area of alignment is often questioned by practitioners, but this book seeks to bridge this gap.

Book Title

Aligning Business Strategies and Analytics: Bridging Between Theory and Practice is comprised of twelve chapters, divided into three sections. The book begins by introducing business analytics and the current gap between academic training and the needs within the business community.

Chapters 2 - 5

Chapters 2 - 5 examine how the use of cognitive computing improves financial advice, how technology is accelerating the growth of the financial advising industry, explores the application of advanced analytics to various facets of the industry and provides the context for analytics in practice.

Chapters 6 - 9

Chapters 6 - 9 offer real-world examples of how project management professionals tackle big-data challenges, explore the application of agile methodologies, discuss the operational benefits that can be gained by implementing real-time, and include a case study on human capital analytics.

Chapters 10 - 11

Chapters 10 - 11 review the opportunities and potential shortfalls and highlight how new media marketing and analytics fostered new insights.

Conclusion

Finally, the book concludes with a look at how data and analytics are playing a revolutionary role in strategy development in the chemical industry.

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