ABSTRACT
Currently, there are not only new digital technologies to support organizations but also to a volume of data that grows as a potential valuable asset in organizations. However, there are limitations in organizational capabilities to obtain knowledge from data, use the knowledge to solve problems, and support the development of answers for complex problems and decisions. This chapter reviews the ways to develop competencies in order to adopt analytics knowledge and its process in organizations. The concepts of technology, techniques, models, and methods are at the core of understanding of the analytics knowledge management process. In many cases, technology access is possible and users' preparation is limited to take advantages of the technology. The best example is with the use of spreadsheets. Analytics knowledge is divided into two categories: explicit and tacit. Analytics knowledge transfer is a process where communication capacity within and outside the organizations is crucial.
