Thomas W. Jackson, Steven Lockwood

Business Analytics (eBook, ePUB)

A Contemporary Approach

• Format: ePub

Produktbeschreibung

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.

Produktdetails

• Verlag: Bloomsbury UK
• Seitenzahl: 176
• Erscheinungstermin: 21. September 2018
• Englisch
• ISBN-13: 9781350304765
• Artikelnr.: 62710360

Autorenporträt

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, UK.

Inhaltsangabe

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