This book is a practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies to cope with its size and complexity, and which enable organisations to leverage the information to create value in marketing.
This book is a practical yet theoretically sound roadmap to leveraging data analytics and data science. The vast amount of data generated about us and our world is useless without plans and strategies to cope with its size and complexity, and which enable organisations to leverage the information to create value in marketing.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Peter C. Verhoef is the Dean of the Faculty of Economics and Business and Professor of Marketing at the University of Groningen, the Netherlands. Edwin Kooge is a co-founder of BAYZ, a consulting agency focusing on teaching companies to master analytics. He is a data science expert, results-focused business advisor and entrepreneur with more than 25 years' experience in analytics. Natasha Walk is a co-founder of BAYZ, a consulting agency focusing on teaching companies to master analytics. She is a pragmatic data science expert focusing on talent development in data science with more than 25 years' experience in analytics. Jaap E. Wieringa is a Professor of Research Methods in Business at the Department of Marketing at the University of Groningen, the Netherlands, and is a Research Director of the Customer Insights Center.
Inhaltsangabe
1 Data science and big data 2 Creating value with data science 3 Value objectives and metrics 4 Data assets 5 Data storing and integration 6 Customer privacy and data security 7 Data analytics 8 Data exploration 9 Data modeling 10 Creating impact with storytelling and visualization 11 Creating value with data science 12 Building successful data analytics capabilities
1 Data science and big data 2 Creating value with data science 3 Value objectives and metrics 4 Data assets 5 Data storing and integration 6 Customer privacy and data security 7 Data analytics 8 Data exploration 9 Data modeling 10 Creating impact with storytelling and visualization 11 Creating value with data science 12 Building successful data analytics capabilities
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