When you have a smart Digital Workforce made up of bots that can capture and measure business data flowing through them, you can quickly become overwhelmed with all the information hitting you in real time. How can you make that influx of information actionable, easy to consume, and easy to act upon?
If you have an enterprise Robotic Process Automation (RPA) solution that features a robust analytics foundation, you can institute a simple three-step framework (measure, act, improve) wherein all data being recorded can be acted on to enhance business benefits and return on investment (ROI).
Let’s take a look at how this framework helps in the context of a healthcare payer.
For this example, lets take three crucial metrics related to insurance claims processing:
The bots can be set up to deliver feedback on data produced in the interest of escalating action and properly directing resources to solve specific issues. Three examples of how information might be separated are:
Benefits of the above action framework can fall under three common buckets:
The above framework can be applied to every RPA implementation across any business vertical (finance, insurance, healthcare, transportation, etc.) and helps make each such implementation very data-driven. The ROI derived from such implementations can then be quantified, which in turn can justify further expansion of the automation charter across more business groups within the enterprise.
The more you measure, the more you gain.
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Jay Bala is vice president of analytics