Predictive analytics: What will happen next?
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Control and manage “gut feeling” decisions
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British philosopher Carveth Read said, “It is better to be vaguely right than exactly wrong.”
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Increase probability of optimal results
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Used nowadays to determine the next best actions to take by sales or customer service reps, which
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Physical assets are likeliest to malfunction, or which candidates to hire.
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What should be done about it?
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Better decisions about what to do.
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Take the inputs from prediction and combined with rules and constraint-based optimization
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Example: send actions recommendation to user or initiates action in other systems.
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Prescriptive functions: Business case building using numerous variables, complex business rules definition and possible analysis, and test, test, test.
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Simulation of results, and power of defining new rules
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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.