@article{1435448,
      recid = {1435448},
      author = {Seebacher, Uwe G.,},
      title = {Predictive intelligence for data-driven managers : process  model, assessment-tool, IT-blueprint, competence model and  case studies /},
      pages = {1 online resource (xii, 268 pages) :},
      abstract = {This book describes how companies can easily and  pragmatically set up and realize the path to a data-driven  enterprise, especially in the marketing practice, without  external support and additional investments. Using a  predictive intelligence (PI) ecosystem, the book first  introduces and explains the most important concepts and  terminology. The PI maturity model then describes the  phases in which you can build a PI ecosystem in your  company. The book also demonstrates a PI self-test which  helps managers identify the initial steps. In addition, a  blueprint for a PI tech stack is defined for the first  time, showing how IT can best support the topic. Finally,  the PI competency model summarizes all elements into an  action model for the company. The entire book is  underpinned with practical examples, and case studies show  how predictive intelligence, in the spirit of data-driven  management, can be used profitably in the short, medium,  and long terms.},
      url = {http://library.usi.edu/record/1435448},
      doi = {https://doi.org/10.1007/978-3-030-69403-6},
}