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Informationen zum Autor 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. Klappentext 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. Zusammenfassung 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. Inhaltsverzeichnis ForewordPreface1. Understanding the Big Data Landscape2. Analytics – Descriptive, Predictive, Prescriptive, and Cognitive3. Building Analytics across a Hybrid Cloud4. Metadata Management5. Governance – The Hardest Part?6. Utilizing the Promise of Open Data7. Ethics8. What Lies AheadAppendix 1: Additional Big data Reference Architecture componentsAppendix 2: Graph DatabasesAppendix 3: Open Standards...
