  Gaining profound insights from collected data of today's application domains
like IoT, cyber-physical systems, health care, or the financial sector is
business-critical and can create the next multi-billion dollar market. However,
analyzing these data and turning it into valuable insights is a huge challenge.
This is often not alone due to the large volume of data but due to an
incredibly high domain complexity, which makes it necessary to combine various
extrapolation and prediction methods to understand the collected data.
Model-driven analytics is a refinement process of raw data driven by a model
reflecting deep domain understanding, connecting data, domain knowledge, and
learning.
