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Business Analytics

A Contemporary Approach

Author(s):
Publisher:

Red Globe Press

Pages: 156
Downloads:

Flyer

Sample chapter

Further Actions:

Recommend to library, View companion site

AVAILABLE FORMATS

Paperback - 9781137610607

21 September 2018

$55.99

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Ebook - 9781137610614

21 September 2018

$55.99

In stock

All prices are shown excluding Tax

This innovative new textbook, co-authored by an established academic and a leading practitioner, is the first to bring together issues of cloud computing, business intelligence and big data analytics in order to explore how...

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This innovative new textbook, co-authored by an established academic and a leading practitioner, is the first to bring together issues of cloud computing, business intelligence and big data analytics in order to explore how organisations use cloud technology to analyse data and make decisions. In addition to offering an up-to-date exploration of key issues relating to data privacy and ethics, information governance, and the future of analytics, the text describes the options available in deploying analytic solutions to the cloud and draws on real-world, international examples from companies such as Rolls Royce, Lego, Volkswagen and Samsung.Combining academic and practitioner perspectives that are crucial to the understanding of this growing field, Business Analytics acts an ideal core text for undergraduate, postgraduate and MBA modules on Big Data, Business and Data Analytics, and Business Intelligence, as well as functioning as a supplementary text for modules in Marketing Analytics. The book is also an invaluable resource for practitioners and will quickly enable the next generation of 'Information Builders' within organisations to understand innovative cloud based-analytic solutions.

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  • An engaging and accessible explanation of the development and evolution of cloud-based computing and its role in contemporary organisations
  • Appeals to both technical and non-technical students
  • A clear strategic framework to help students make decisions around appropriate cloud-based analytics solutions
  • Embeds ethical considerations when using sensitive data into the discussion of uses of big data
  • Provides students with a clear understanding of the challenges to organisations in managing and governing this new wave of analytics on the cloud
  • A companion website offering PowerPoint lecture slides and exam questions to accompany each chapter of the book

Foreword.- Preface.- 1. Understanding the Big Data Landscape.- 2. Analytics – Descriptive, Predictive, Prescriptive, and Cognitive.- 3. Building Analytics across a Hybrid Cloud.- 4. Metadata Management.- 5. Governance – The Hardest Part?.- 6. Utilizing the Promise of Open Data.- 7. Ethics.- 8. What Lies Ahead.- Appendix 1: Additional Big data Reference Architecture components.- Appendix 2: Graph Databases.- Appendix 3: Open Standards


A book that delivers contemporary insight into the "what", "how" and "why" of business analytics. It is an alternative or accompaniment to the "how to do it" statistical guidance offered by other texts. The authors helpfully unpack the meaning of big data, tracing its history and explaining the power of business analytics in unlocking customer, citizen and organisational value from an increasing volume and variety of data and information. It equips you with the necessary insight into how you might build and deploy a business analytics infrastructure. It also addresses the ethical implications and unintended consequences as well as the benefits - a rarity in this field. This is why it makes a valuable contribution to advancing knowledge and understanding in what is now a priority domain for both industry and society. – Rebecca Casey, Lecturer in Information Systems Management, Newcastle University, UK
This book provides an interdisciplinary perspective on a key topic for data-driven businesses. It covers technical aspects in an approachable manner as well as the governance and ethics of applying data analytics at scale in a business context. – Gianluca Demartini, The University of Queensland, Australia
A very timely book that provides pragmatic insight into the technical and non-technical aspects of analytics in a holistic format and fills a gap in the literature. The many practical examples from the real world bring the topics to life. An incredibly valuable resource for students, academics and practitioners alike. – Ritesh Chugh, Information Systems & Analysis Discipline Lead, Central Queensland University, Australia
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Thomas W Jackson (BSc, PhD, FBCS) is a Professor of Information and Knowledge Management and is the Associate Dean Research in the School of Business and Economics at Loughborough University. He has over 16 years’ experience of research and industrial consultancy and secured over £14M of research funding. 

Steven Lockwood is Senior Executive Information Architect within the Global Analytics Chief Technology Office at IBM, UK. Today he focuses on the use of Big Data technologies deployed on hybrid cloud platforms to solve a variety of analytical problems. Steven’s achievements have resulted in him being placed within IBM’s Academy of Technology and the Academy Leadership team.

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Thomas W Jackson (BSc, PhD, FBCS) is a Professor of Information and Knowledge Management and is the Associate Dean Research in the School of Business and Economics at Loughborough University. He has over 16 years’ experience of research and industrial consultancy and secured over £14M of research funding. 

Steven Lockwood is Senior Executive Information Architect within the Global Analytics Chief Technology Office at IBM, UK. Today he focuses on the use of Big Data technologies deployed on hybrid cloud platforms to solve a variety of analytical problems. Steven’s achievements have resulted in him being placed within IBM’s Academy of Technology and the Academy Leadership team.

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