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Task Mining

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Task mining is a growing technology, which enables companies to capture operational data from desktops and other interfaces performed by employees. This data is structurally consolidated to form the basis of the different task models that make up the company’s day-to-day activities. Task mining optimizes task execution and occurs at the departmental level, so it is a more local activity, compared to the wider scope of its colleague Process Mining.

What are the applications of task mining?

Task mining can be used to securely capture activity during workflows to improve processes and thereby reduce costs. Additionally, governance and compliance issues will be highlighted when previously unseen and risky employee behavior is captured.

Unintentionally wasteful employee practices are highlighted and remedied with more efficient practices during remedial training.

Benefits of RPA

What are the benefits of task mining?

Task mining has a multifunctional role in improving process and task management.

Employing intelligent automation, plug-ins are installed on each browser and desktop, and all keystrokes and regular screenshots are continually gleaned and stored, so that they can easily be collected to generate clear patterns of behavior.

The benefits of task mining include:

  1. Identifying the limited use of or ignorance of good practices. Task mining software is ideal for identifying unnecessary actions. If an employee repeatedly wastes time carrying out steps that can be eliminated without adversely affecting the outcome, then it’s a win-win for everyone.
  2. Highlighting poor working practices such as workarounds and deviations, that workers have discovered
  3. The insights into performance and productivity, as well as the frequency of interruptions, enable businesses to evaluate performance and make them better able to create accurate forecasts.
  4. Identification of non-compliant processes
  5. Discreet monitoring of remote workers
Task mining always aims to answer the following questions:

  • What are the most repetitive or efficient working patterns?
  • What is the full-time equivalent for these activities?
While the outcome of task mining is to identify the operational process improvements, such as automation or workflows.

Learn more about our process

4 Steps Of Task Mining

1

Planning, Capture

Prepare the scope of the task mining project with processes and recordings. Establish the activities that make up the process. Record and store the data.

2

Context

The business data is analyzed for business context using OCR.

3

Activities clustered and matched to business data

NPL & AI match and sort business data to activities.

4

Optimize outcomes

The refined task mining data is applied to optimize processes. Increasing execution capacity and business performance.


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Above all, it was the higher revenue we saw month-on-month which confirmed the benefits of our process optimization and automation; instead of laboring over admin, we can now focus on building deeper relationships with patients. They've put the human element back in our business.

Lolly Co do a fantastic job, and are a pleasure to work with. They are clearly extremely competent at what they do, and have produced a system that is very clean, modern and successfully automates many of our day to day tasks. As experts in their field we wouldn't use anyone else.

I worked with the team on a custom rank tracker using an API, Big Query, and Google Data Studio. The group exceeded my expectations on timing and cost for the build. I got regular updates every step of the way, and there was never any uncertainty about what was happening. Already going back for phase two to add more features.

How It Works

How Does Task Mining Work?

In its simplest form, task mining enables businesses to monitor user interaction on desktops etc. so that they can analyze how workers execute tasks, how quickly they carry the tasks out, as well as how much more quickly they could do the task. Essentially, task mining collates staff actions during the execution of business processes. It is easy to underestimate the power of task mining, it isn’t just a form of desktop monitoring but goes much further in improving the efficiency of business processes.

Task mining operates in a series of steps:

1. Capture of desktop data
All clicks, scrolls, and user actions are recorded, along with time stamps and screenshots.

2. The business context of each task is recognized
Optical Character Recognition (OCR) software is used to record the words, and numbers on a user’s screen. The software uses this information to contextualize what they were doing in the task.

3. Collating similar activities
Using Natural Language Processing (NPL) technology and AI each set of information is understood and automatically sorted into topic groups. These topic groups of them clustered into work activities, for example, completing a purchase order or researching customer prospects.

4. Matching them to existing business data
The existing databank is used to correlate User IDs and Case IDs to further interpret how workers’ actions affect business outcomes.

5. Optimizing outcomes
The consolidated task mining data is implemented to optimize processes. This results in more effective workflow and business performance.

RPA & Task Mining

Task mining complements RPA

While task mining and RPA both use elements of process automation, the two technologies are quite different but, at the same time, complement each other well. While task mining technology helps businesses identify bottlenecks in their process workflows, RPA works more to implement and execute against the automation opportunities that are discovered through these analyses.

The Future

Task Mining And The Future

Task mining, when coupled with process mining and RPA, creates a powerful force, which is already being energized in the digital transformation. Customer and employee value is generated from the insights gained from cumulative data. Similarly, as the IoT extends to ever more devices so the power of task mining becomes ever more relevant. Talk to Lolly to see how task mining can revolutionize your processes.

Frequently Asked Questions

FAQs

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It’s normally possible to capture information from all mainstream browsers like any desktop application. In particular, Google Chrome and Microsoft Edge have advanced support that permits or denies listings on a per URL basis and enriches the events data with additional columns.

Yes. The data sets indicate which applications data was captured from.

The recorder application should not typically consume more than 40% of the desktop resources (mainly composed of CPU and memory).

Start with 2 to 5 users working on similar tasks, who will be available during the timeframe. This will ensure their task execution is captured several times. Usually, a minimum for 2-3 users would be two weeks or one week for 3-5 users.

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