The Analytics Continuum
In practical reality, “analytics” comprises many types of analysis, including reporting, visualization, planning, real-time processes, artificial intelligence and machine learning (AI/ML), and natural language processing. The analytics continuum must not only support these analyses, but it must also include the appropriate data management, metadata management and governance capabilities to support access to this information. All these are valuable, each in its own way, and beneficial to different parts of an organization and its operations.
However, one of the most common overall benefits that has been highlighted by participants in our research is that analytics improves communication and knowledge sharing within an organization. That said, today’s organizations must be able to do much more than just share knowledge; they must act on the information they gather and analyze.