Three Data Analytics Approaches
Descriptive analytics:
Looking back
Prescriptive analytics:
Looking forward
What will be my program’s volume and policy mix in the next five years?
As we advance through the analytics solutions landscape, the next level helps you gain insights about what might happen next. Predictive analytics—truly predictive analytics—using statistical models and simulations can allow you to determine where your mobility programs might be heading. You can use this to answer questions like,
“What will be my program’s volume and policy mix in the next five years?”
Predictive analytics:
Learning
learning
How many of our moves are family moves and where are the moves located?
In its simplest form, data analytics helps you answer questions about what’s already happened. More specifically, descriptive analytics can help you diagnose and report on what’s happening in your mobility programs using data aggregation tools. You can answer a question such as,
“How many of our moves are family moves and where are the moves located?”
How can I optimize an assignment’s probability for success?
In its most advanced stage, analytics can offer actual foresight about your mobility strategy, policies and impact on the overall business. With prescriptive analytics tools, you can employ optimization models to plan actions and make decisions going forward. You might use it to answer a question like,
“How can I optimize an assignment’s probability for success?”
Click each block to explore more.
