Have you ever asked yourself what stories are hidden in your data? Well, in this lesson, we're about to find out. Before we jump in, it's important to determine which processes we want to analyze and why.
Starting a Process Mining project is useful for any organization wanting to have tight control over its processes and abilities to quickly identify opportunities for improvement. Still, you probably won't launch a Process Mining initiative without a specific reason for action. Let's take a look at some common starting points.
Some of your processes are clearly inefficient and not running according to the corresponding as-is documentation (e.g., a set of production plans uses the same facilities, but their output varies significantly).
Goal with Process Mining: Analyze, impact, and develop steps for improvement.
You are constantly under pressure to fix cases that go off the rails and cause tremendous financial damage. For example, in a financial organization auditors raise concerns due to overly risky transactions slipping through risk management's controls.
Goal with Process Mining: Identify potential risks before they occur and ensure compliance.
You need data on how your processes run for reporting, but you don't have insightful, aggregated data (KPIs) available. For example, the manager of a Service Department wants to know how the unit performs in comparison to industry benchmarks, but struggles to identify the department's KPIs.
Goal with Process Mining: Identify inefficiencies and use KPIs to have a benchmark.