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Predictive analytics: What will happen next?

  • Control and manage “gut feeling” decisions

  • British philosopher Carveth Read said, “It is better to be vaguely right than exactly wrong.”

  • Increase probability of optimal results

  • Used nowadays to determine the next best actions to take by sales or customer service reps, which

  • Physical assets are likeliest to malfunction, or which candidates to hire.

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What should be done about it?

  • Better decisions about what to do.

  • Take the inputs from prediction and combined with rules and constraint-based optimization

  • Example: send actions recommendation to user or initiates action in other systems.

  • Prescriptive functions: Business case building using numerous variables, complex business rules definition and possible analysis, and test, test, test.

  • Simulation of results, and power of defining new rules

  • Update inputs and iterate with new budget period. Never ending process

Process Mining?

​“Process mining is designed to discover, monitor and improve real processes (not assumed processes) by extracting knowledge from event logs readily available in today’s information systems. “Gartner

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History of Process Mining:

“Process mining” was first introduced by the Dutch computer scientist Wil van der Aalst (“Godfather of Process mining”). He began a new field of research that emerged under the umbrella of techniques related to data science and process science at the Eindhoven University in 1999.

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