Suchergebnisse

Abstract
Increasing global digitalization brings huge amounts of data. Finding a successful way to handle all this data and to transform it into real insights will be a critical success factor in the future. The biggest challenge for data science applications in marketing is that many marketing people studied marketing because they no longer wanted to do mathematics. A good marketing campaign will still have to be creative, touch emotions and build a brand, but more and more marketing managers will also need technical and analytical skills. It will more than ever be necessary to determine real causal effects to pull the right levers. Consumer insights have always been considered a major driver for growth, but in the digital world, successful growth can also come from improved technical and analytical implementation and skillful application of new tools and methods.

Data Workspace is a DIT platform providing one place for our people to find data they need. They can search, view and analyse it, all in one place.

Frontmatter -- Preface -- Contents -- 1. Introduction -- 2. Proposal planning and writing phase -- 3. Project start-up and data management phase -- 4. Data collection and file creation phase -- 5. Data analysis phase -- 6. Final project phase - preparing data for sharing -- 7. Data publishing -- References -- Contributors to the fourth edition

"This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses in detail one big data research area: biomedical studies, focused on epidemiological surveillance. Specific case studies explore how big data have been used in academic work. The Big Data Agenda concludes that the use of big data in research urgently needs to be considered from the vantage point of ethics and social justice. Drawing upon discourse ethics and critical data studies, Richterich argues that entanglements between big data research and technology/ internet corporations have emerged. In consequence, more opportunities for discussing and negotiating emerging research practices and their implications for societal values are needed.

An electronic version of this book is freely available, thanks to the support of libraries working with Knowledge Unlatched. KU is a collaborative initiative designed to make high quality books Open Access for the public good. More information about the initiative and details about KU's Open Access programme can be found at www.knowledgeunlatched.org."