Analytics & RPA: The Transformative Digital Enabler

By Ronald Mueller, Imaan Ali

Analytics & RPA is the Key to Major Success

RPA is currently one of the most widely successful digital technologies. RPA enables companies to reduce human errors, operate at much higher efficiencies, and increase employee satisfaction by shifting focus from repetitive menial tasks to value-added roles, and in the process further enhancing customer satisfaction and innovation.

Companies are now going one step further – towards Intelligent RPA. In many automation journeys, cognitive technologies such as AI, ML, NLP when blended with RPA, bring smart capabilities to existing RPA initiatives and help magnify and enhance the positive outcomes vis-à-vis standard RPA.

Analytics is essential to providing RPA users with the measuring tools and KPI visibility necessary to ensure they maximize the value of their automation and understand the quantitative impact of these automation efforts on positive business outcomes.

In this blog, we discuss one analytics framework that opens the door to a full understanding of your RPA program – UiPath Insights. If you would like to learn more about UiPath Insights, or about analytics in general in the context of RPA, please contact us, we will be happy to discuss further.

UiPath Insights is THE Analytics platform for RPA

UiPath Insights is an end-to-end RPA analytics solution that enables users to track, measure and forecast the performance of their entire automation program — so users know the impact it’s having and how to scale to the next level. The basic steps needed to get UiPath Insights up and running include:

  • Preparing the environment for RPA analytics
  • Deploying UiPath Insights from within UiPath Orchestrator
  • Modifying out-of-the-box dashboards to track the relevant KPI’s for your company

The chart below shows the basic steps in UiPath Insights implementation, and also shows what you gain for your company once it is in place.

UiPath Insights

With UiPath Insights you can measure the true impacts of RPA on your Processes and your Business

Among the most important benefits of UiPath Insights are the following four. The rest of this section briefly describes each benefit and its impact on your RPA automation initiatives.

  1. Measure RPA Performance
  2. Calculate Business Impact & ROI
  3. Forecasting and Anomaly Detection
  4. Shareable Reports

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1.  Start measuring so you can start improving

Measure the performance of your RPA operations, including situational awareness of events happening in your operations. You can measure and analyze everything from robot and process performance to individual transactions and exceptions. Start with the robot and process dashboards to get immediate visibility into your RPA operations. See the example below showing a robot performance dashboard.

RPA operations

2.  Calculate RPA’s Impact on Bottom Line

Each process in your operations requires a unique set of KPI’s to define success. With UiPath Insights you can customize the way you calculate and align your automation goals to the distinct needs of your business. Start by tracking the time and money saved by each of the automation you have implemented. You can generally do this dashboard right out of the box, with little customization required. See the example of business ROI shown in the chart below.

business ROI

3.  Forecasting and Anomaly Detection

Utilize historical data to forecast future operational states, and ML-based anomaly detection and alerting to get notified about critical events and major milestones. Easily gain new analytical perspectives of your operations with Insights-recommended breakdowns of your existing data. Start by forecasting robot utilization to ensure you are maximizing the benefits of your RPA robots in all your processes. See the example time chart below.

time chart

4.  Shareable Reports

The value of performance reporting should continue past a set dashboard – it should drive strategic discussions and action across the entire enterprise. With UiPath Insights, you can easily share reports with key stakeholders and process owners. Start by creating a drag-and-drop report based on one of the existing templates provided in the system, and then set it to be shared with the entire team on a regular schedule.

Conclusion: Analytics can significantly boost your RPA advantage

Analytics is key to measuring and assuring that your RPA automation initiatives yield the best possible results for your company. Contact us to discuss further how we can assist you in implementing an analytics framework, like UiPath Insights, in conjunction with your RPA program.

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By Ronald Mueller, Imaan Ali | January 12th, 2021 | Process Automation

About the Author

Dr. Ronald Mueller Chairman and Founder of Macrosoft

Ronald Mueller

Ron is the Chairman and Founder of Macrosoft, Inc. He heads up all company strategic activities and directs day-to-day work of the Leadership Team at Macrosoft. As Macrosoft’s Chief Scientist, Ron defines and structures Macrosoft’s path forward. Ron's focus on new technologies and products, such as Cloud, Big Data, and AI/ML/WFP. Ron has a Ph.D. in Theoretical Physics from New York University and worked in physics for over a decade at Yale University, The Fusion Energy Institute in Princeton, New Jersey, and at Argonne National Laboratory.

Ron also worked at Bell Laboratories in Murray Hill, New Jersey., where he managed a group on Big Data. Ron's work focused around the early work on neural networks. Ron has a career-long passion in ultra-large-scale data processing and analysis including predictive analytics, data mining, machine learning and deep learning.

Imaan Ali

Imaan Ali

Imaan Ali has been working as a Data Engineer at Macrosoft for 5 months, previously having been a Macrosoft summer intern working in chatbot technology. Imaan has a particular area of focus of Process Mining software and Robotic Process Automation.

Imaan provides service to clients through research in the best PM tools and finding the ones that are most cost-effective for customers.

Imaan is currently a sophomore at New Jersey Institute of Technology, pursuing a Bachelor's degree in Computer Science. She is fluent in Python and has a passion for discovering all the things CS is capable of achieving.

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