Big Data goes with the territory. Your digital workforce is bringing back complete information on not only what it does but also what it encounters along the way. Everything is recorded and visible to the enterprise, anytime. But what does it all mean? The most advanced RPA analytics reveal what’s meaningful and predict what’s next.

HANDS-FREE BUSINESS ANALYTICS

Advanced analytics at the click of the mouse. Simply tag the variables of interest and we do the rest. It’s a complete turnkey RPA analytics solution that requires no integration – everything is built-in (native) and ready right out of the box.

REAL-TIME OPERATIONAL INSIGHTS

With actionable intelligence, delivered by self-measuring bots, operations managers and practitioners can constantly monitor the efficiency and effectiveness of their digital workforce and easily quantify processes' operational performance on demand.

SEAMLESS INTEGRATION

Out-of-the box customizable analytics are designed for meet the analytics needs of most enterprises. With seamless integration into leading BI solutions Bot Insight offers unprecedented flexibility in measuring your digital workforce performance.

Bot Insight consists of capabilities to:

Make use of preconfigured dashboards that enable out-of-the-box reports on important common metrics.
Generate dashboards automatically from data attributes tagged inside bots.
Monitor key operating performance regarding RPA deployments.
Provide real-time business analytics about trends discovered via bots.
Make the analytics data available to third-party systems and applications via REST APIs.
Query the data, and use interactive drilldowns to discover new insights.
Calculate ROI automatically with the prebuilt COE dashboard.
Provide for central management of an entire program.
Display COE dashboard data using an RPA mobile app.

Bot Insight gathers and logs any tagged data handled by a TaskBot with no need to consider prebuilt models, schemas, or other systems. he underlying analytics engine analyzes and profiles the data being sent from the bot while it is being logged. Dashboards are created automatically using the results of the data profiled. These can be used to drill down for further analysis and insights into the data presented.

All data related to measurement of the system's health, bot operations, and failures is automatically captured by the Automation Anywhere platform and stored in the Control Room database. This data does not require additional tagging or data capture. Operational analytics dashboards are available in every customer deployment and consumed through the RPA Control Room user interface(UI).

Challenges

Automation Anywhere does face challenges. While a leader in RPA, the market is crowded and all vendors are trying to gain competitive advantage through innovation and key partnerships. RPA is also one of many technologies used to automate processes, with many vendors competing to be identified as offering the best approach for automation. That is a major reason why it is so important for enterprises to measure the performance gains yielded through automation. Automation Anywhere will need to continue working with customers to improve its overall measurement capabilities to ensure that Bot Insight is interoperable with larger performance measurement systems. Bot Insight will also need to incorporate the performance improvement derived from its partners.

Conclusion

Executives approving automation initiatives intuitively understand that automation will measurably improve business outcomes. They will expect to see tangible direct measures of benefit that tie into the process and business KPIs impacted by the automation in addition to the impact on financial performance.

Measuring RPA performance must be included in planning at the onset of an RPA project. The RPA COE should regularly show explicit performance improvements to process and business leaders impacted by the automation. These same metrics can be used by the RPA team to help build business cases, identify other successful opportunities, and manage the health of the RPA system and its digital workers.

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