How Task Mining Helps Accelerate Digital Transformation

Digital transformation has become a key buzzword for organizations across sectors, underlining the need to optimize and future-proof processes, reduce time-to-market, mitigate the impact of disruptions, and chart a path to growth in a competitive and dynamic business environment. But digital transformation initiatives require impactful data-driven insights to transform critical processes and inform business strategies.  

Role of Task Mining in Driving Digital Transformation 

Task mining complements process mining, a critical spoke of the digital transformation wheel. Process mining involves the analysis of data generated from systems of record such as ERP and CRM. 

Meanwhile, Gartner defines task mining as the process of capturing keystrokes, mouse clicks, and data entries, otherwise known as low-level event data, and applying tools such as natural language processing and optical character recognition to interpret this data and generate meaningful insights. These insights can, in turn, help identify inefficiencies, improve processes, and enhance employee experience.

Learn More: What is Task Mining? 

Technology Behind Task Mining

Following are some of the technologies used in task mining:

Optical character recognition (OCR):
Converts typed, handwritten, or printed text into machine-encoded text. It extracts text from images and helps users conduct text mining, key data, and pattern recognition.

Natural language processing (NLP):
NLP helps computers process and analyze vast sets of natural language data. Within the context of task mining, it helps categorize data in terms of tasks and activities. It provides a data-driven approach, thus assisting managers and decision-makers in determining the efficiency of a process.

Machine learning algorithms:
Task mining solutions use machine learning algorithms that work alongside NLP to parse huge volumes of unstructured data and aggregate the data. This helps managers gain deeper visibility into the processes, identify bottlenecks and drive end-to-end process excellence.

Learn More: Understand Task Mining and Process Mining

Top Five Ways Task Mining Helps Accelerate Digital Transformation

  1. Identify repetitive tasks that can be automated 

By gaining visibility into specific tasks within the processes, organizations can determine improvement and automation opportunities which can accelerate their business outcomes and even discover avenues for cost reductions.  Armed with these unparalleled insights at task level, organizations can uncover blindspots and identify repetitive tasks fit for automation. They can also define best-practice approaches for a process, thus introducing standardization across the organization.

  1. Drives continuous process improvement 

Through automated capabilities to collect desktop-level data, leaders can gain the granular insights they need to optimize their processes confidently. This ensures that every process-level change is based on data-driven insights.

  1. Provides a path for RPA

In Gartner’s latest CFO survey, 80% of finance leaders stressed the need to significantly accelerate the implementation of RPA and AI to support the business by 2025 effectively. When implementing RPA, they also see investment in process mining as the key to unlocking returns.

Task mining helps deliver insights into how a particular process can be automated to drive efficiency and improve ROI. Based on these insights, organizations can adopt the right RPA tools suited for each task. In the absence of task mining, many RPA projects may simply fail to take off.

  1. Ensuring data security

A less-talked-about but critical use case of task mining is to analyze low-level event data to measure an organization’s data security credentials. Granular data collection from user devices can help detect malware, zero-day vulnerabilities, and anomalous behavior resulting from unauthorized third-party access. CIOs and CISOs can combine insights from task mining and signature-based threat detection tools to detect and quickly act on off-the-pattern instances and build capabilities to defend against advanced cybercriminal TTP (tools, techniques, and procedures).

  1. Achieve operational resilience

When managers have a clear picture of how their processes and tasks function, they can accelerate their automation opportunities, and implement process improvements, thus creating a data-based method to improve operational excellence and resilience. With this granular understanding of how tasks are performed, managers can benchmark the most efficient approach to work, thus standardizing and optimizing practice across the organization, leading to improved business outcomes. At the same time, by automating repetitive tasks, managers can empower users to pivot to value-adding work.

Learn More: What is Process Intelligence? 

Experience the Soroco ScoutTM Advantage 

Today, more than 60% of the workday is spent on unstructured interactions in documents, emails, communications, custom applications, websites – outside of ERP, CRM, and other systems of record.

Organizations can unlock this data source for multiple opportunities such as building a map of how their teams get work done, including variations in the last mile, and building a data-based digital transformation program with multiple levers such as automation, targeted user-training, streamlining unnecessary variations of work.

At Soroco, we have created a new category of enterprise software that relies on this previously untapped data source — human-computer interactions emanating from daily work. Soroco’s Scout, powered by the world’s first work graph platform, focuses on enterprise-scale needs serving 1000s of users in each customer.  With its privacy-aware data collection with zero IT integration, Scout captures millions of interactions without requiring any changes to your applications. While protecting end-user privacy, flexible PII filtering, and being aligned to GDPR compliance.

To get started with Scout, click here

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