Get to know your processes in detail and build a ROI-oriented automation pipeline.
Task Mining involves capturing and examining the daily tasks your employees perform.
It’s an essential component of RPA development, enabling the creation of bots to automate repetitive tasks.
Task mining – what is there to gain?
Task mining the best way to start the automation and digital transformation of your business. Explore the possibilities:
Why Flobotics for Task Mining?
Why Flobotics for task mining?
Beginner’s Guide to Task Mining With RPA
How efficient are your employees? What can you do to increase productivity? What are the best tasks for RPA automation?
We don’t have the answers to these questions, but we know a tool that might help. Introducing task mining, your key to improved workflows, and the first step toward automation.
What is task mining, and how does it work?
Task mining is a discovery tool focused on extracting user interaction data on the desktop level. These actions include mouse clicks, keystrokes, and data entries needed to perform specific tasks, e.g., updating spreadsheets, entering patient details into an EHR, or creating a sales order.
Task mining software uses technologies like OCR (optical character recognition), NLP (natural language processing), and ML (machine learning) to collect and analyze these events. They are compiled as screenshots, screen recordings, or activity logs, complete with details like time stamps or time spent in specific applications and on individual activities.
With this data, managers and team leaders can gain more insight into the workflows of individual users or entire departments. Task mining allows them to identify inefficiencies, clearly understand how tasks are performed, and find ways to optimize team performance. It’s also the perfect tool to confirm if automation solutions like RPA are the best way to boost the productivity of specific teams.
Who is task mining for?
One of the main strengths of task mining is that it’s not exclusive to any one industry. Organizations from any sector can take advantage of task mining as long as they rely on desktop tasks.
Here are three major industries that make extensive use of task mining to optimize their operations and drive innovation.
Healthcare
Hospitals and providers leverage task mining to reduce claim denial rates and manual paperwork, streamlining their financial workflows. Task mining also helps healthcare organizations improve clinical care management, scheduling, recruitment, and patient experience.
Finance & Banking
With task mining, financial organizations can expedite credit management, minimize risk, and automate payment processing. By improving end-to-end processes, banks smooth the client journey, from the know-your-customer stage to customer support.
Manufacturing
Between production, supply chain management, inventory tracking, and placing restock orders, there’s no lack of potential improvements in manufacturing. Regarding back-office tasks, task mining findings can speed up accounts payable and receivable, order processing, and supplier evaluation.
What are the benefits of task mining?
Task mining is all about knowledge: it provides priceless information about how tasks are executed, what works, what doesn’t, and what to improve. The main direct benefits of task mining are:
- data-driven decision making,
- uncovering automation opportunities, bottlenecks, inefficiencies, and improvements,
- enhanced KPIs and performance tracking.
When organizations act on these findings, task mining will also have an indirect—but very tangible—impact on their operations. This includes:
- time and resource savings,
- higher productivity,
- eliminating unnecessary tasks,
- standardized processes across the organization,
- better scalability,
- empowered and more satisfied employees,
- data-backed reporting,
- innovation.
What technology for task mining?
AWith dozens of task mining tools available, businesses can easily pick the one that best fits their size, goals, and team characteristics. From our experience working with organizations from various industries, KYP.AI is one of the most versatile and robust task-mining tools.
KYP.AI uses AI to suggest the optimal automation and optimization methods for the given scenario. The tool extracts task data in near real-time, visualizes it, and recommends upgrades that yield the best results at the lowest effort.
Once you take the suggested measures, KYP.AI monitors their adoption rate and impact, helping you maximize your transformation. All findings and insights are presented in a single, easy-to-read dashboard, allowing for an end-to-end view of opportunities across all teams and apps.
Another option worth considering is using task mining features built into automation platforms. This combination allows for an easy handoff of the findings to the automation team and streamlines further discovery. One of the platforms offering task mining capabilities is UiPath, our RPA tool of choice.
There are two task discovery methods available in UiPath Task Mining. Assisted task mining focuses on understanding and standardizing known tasks by capturing all their variations. Unassisted, on the other hand, automatically records user activity in search of new improvements and tasks to automate.
UiPath Task Mining is natively integrated with other UiPath discovery tools—Process Mining and Communications Mining—to give businesses a holistic view of their operations. All findings are centralized in Automation Hub, a one-stop automation management and prioritization dashboard, to enable.
Task mining: Where to start?
Depending on the timeframe and size of the organization, there are two ways to kick off your task-mining project.
- One-off task mining project. The goal is to create a task-mining proof-of-concept to try it out in one department. Then, based on the findings of the PoC, tasks are automated with the use of RPA. This method is faster to implement and requires fewer resources, which makes it a good option for smaller organizations. However, it needs to be noted that the one-off approach doesn’t offer the same level of insights a long-term discovery could.
- Continuous discovery and improvement. In this method, task mining is performed department by department, analyzing the workflows across the entire organization and gradually building process pipelines for automation. Implementing task mining and automation continuously is more expensive, complex, and time-consuming than one-time projects. Still, it offers far-reaching benefits: in-depth insights, steady improvement, and a full picture of business tasks.
Automation starts with knowledge
Whether you want to see if RPA is the key to higher productivity or you want to get into every detail of your workflow, task mining will help you find the answers. Get in touch to understand your processes and start your journey toward digital transformation with task mining and RPA.
Task mining is a process discovery technique that involves automatically capturing and analyzing user interactions with various software applications to understand how tasks are performed. By recording and analyzing user actions, task mining provides insights into the actual steps taken to complete a task, identifying inefficiencies, bottlenecks, and opportunities for automation within processes. This technique helps organizations gain a detailed understanding of workflows, improve operational efficiency, and drive automation initiatives based on real-user behavior data.
Process mining focuses on analyzing event logs from existing IT systems to discover, monitor, and improve processes. It provides insights into how processes are actually executed. On the other hand, task mining involves capturing user interactions with software applications to understand how tasks are performed in real-time. Task mining focuses more on individual tasks and user behaviors, providing a granular view of operational workflows. While process mining offers a broader perspective on end-to-end processes, task mining provides detailed insights into task-level activities and user interactions, enabling organizations to optimize tasks and processes effectively.
Task mining examples include scenarios where software tools capture user interactions to analyze and improve processes. For instance, in customer service, task mining can track how agents navigate systems to resolve issues, identifying areas for efficiency gains. In healthcare, task mining can map out clinician workflows to streamline patient care processes. Task mining can also be applied in finance to understand how employees interact with systems for auditing purposes. These examples demonstrate how task mining provides valuable insights for optimizing workflows and driving process automation initiatives across various industries.
