The audience will be guided through the field of Advanced Analytics by experienced domain experts:

• Technology background: Understanding the differences between technologies such as mathematical optimization, machine learning and statistical methods and when to use what technology. (explained in non-technical language).
• Use cases: Examples of successful application of Advanced Analytics.
• Demonstration: Brief demonstration of an Advanced Analytics application.
• Recognizing application potential: identifying where Advanced Analytics could be applied.
• Managing the process: how to take control of identifying, selecting and implementing Advanced Analytics. A KPI driven management control system to keep grip on the process.