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How Operavix uses Task Mining to find and fix hidden inefficiencies
CIO of Analog Devices, Nancy Avila, offers a crucial piece of advice for leaders pursuing digital transformation: smart technology investments must be directly aligned with business goals and based on data-driven predictions.
This is where many process optimization initiatives struggle. Companies heavily rely on SOPs, interviews and workshops to reveal ‘as-is’ business processes. But in reality, ‘as-is’ business processes are deeper: in unseen, undocumented user actions that happen every day. Those invisible actions may hide inefficiencies that hold you back from effective optimization.
To align your optimization initiatives with real economic impact, you must first see the work as it actually happens.
This is the core challenge that Task Mining was invented to solve. It evolved from Process Mining in the mid-to-late 2010s. The technology provides a micro-level view of operations by analyzing employee user interactions. It’s the key to unlocking a level of data-driven BPO that was previously impossible. Here’s how.
What’s Task Mining?
Traditionally, as an input data companies have utilized questionnairs and employee interviews. But now these sources are outdated as might contain incomplete data about task execution and require too much time on analysis. This consequently slows down task-level analytics and makes it more inefficient and resource-intensive.
Operavix Task Mining
Subjective and incomplete data might significantly deteriorate the quality of analytics. Operavix follows an AI-driven approach to task-level analysis to make sure that the results are fast, accurate, and actionable.
Here's how Operavix Task Mining conducts task-level analytics.
Operavix task-level analytics
Desktop agents capture user interaction data securely and within your domain.
2. AI-powered task identification
With the help of intelligent ML algorithms, Task Mining fully automatically extracts tasks from vast datasets.
3. Task execution analysis
Then Task Mining evaluates the number of employees, task counts, execution time, and groups them into categories.
4. Actionable optimization/automation roadmap
Later Task Mining provides insights on the most routine manual tasks, visualizing lists of tasks that are ready for optimization/automation.
What transforms analytics into tangible economic outcomes is smart automation. There are many ways companies transition from analytics to automation initiatives. The classic scenario is that they get analytics first on one platform and automate routine manual tasks on another platform. We took into consideration our clients’ wishes and created a new tool to eliminate this gap entirely. The insights generated thanks to Task Mining are not the end of the journey, they are the direct input for the engine that drives the change: Digital Employee.
Digital Employee
1. API integration allows you to connect to information systems and automatically exchange data: errorless, fast and securely.
2. AI reads data and recognizes patterns. And it helps to capture and analyze data from unstructured files of different formats.
Powered by API integration and AI, Digital Employee connects everything into an automation chain and frees up human talent for strategic initiatives.
Smart task-analytics means smart automation decisions.
Ready to eliminate time-consuming manual tasks? Get task-level visibility into business processes through Operavix Task Mining and leverage Digital Employee to experience operational efficiency in the blink of an eye.
Check out successful case studies in the Customers section and start your own journey today.