Process Mining vs Task Mining: SAP Signavio's Secret to Efficient Processes
With the evolving technical sphere, businesses often face ruthless competition. Each business must brand itself as a unique entity to attract customers. Efficient processes and unique approaches are one way to attract business. Pursuing efficiency is the key to success. Efficient processes not only attract clients but also increase the pace of business operations internally. For processes to be optimized and expedited, keeping an eye on the internal workings is imperative.
To understand a process, businesses must examine the nooks and corners of the mechanisms throughout the process. This process analysis of the inner workings of organizations can be classified into Process Mining and Task Mining. Though intertwined based on definitions and activities, there is a clear distinction between these two.
Process Mining
Imagine you are a General Manager of a restaurant. You need to understand how busy the restaurant is. To understand this, you need the frequency of customer visits, number of in-person orders, number of online orders, number of takeaways, delayed orders, reasons for delays, and customer reviews.
Process mining analyses the flow, speed, and variability of operations. The practice can be understood using the following components.
a. Event Logs
Each case or process instance is linked to an event in the log, which pertains to an action or stage. Timestamped information about when the event occurred, a descriptive name for the event, and any other relevant context are common aspects of events.
b. Process Discovery
Once the event logs are recorded, the process discovery happens. The discovery objective is to reveal the actual process and its execution inside the company. Through discovery methods, one may learn about the possible execution pathways, loops, and process instances' options.
c. Process Conformance Checking
After discovering the process, the recorded process is compared with the expected process. The goal of conformance testing is to ensure that the actual behaviour of a process matches the expected behaviour of a preexisting process model. By contrasting the two, businesses can spot non-conformances like missing steps, unanticipated actions, or process variations that were previously undetected.
d. Process Extension
After the comparison, the process now needs to be enhanced. An existing process model may be improved or modified by incorporating new data retrieved from event logs. This is called process extension. Decision points, resource consumption, and activity performance data may all be included in this. Process optimization may be aided by this improvement, which aids in comprehending process dynamics like bottlenecks.
Task Mining
While process mining focuses on the broader image of how things work, task mining scrutinizes the minute details of how these tasks are performed. It is parallel to magnifying into each activity inside of the broader processes. Task mining collects data on user interactions and analyses them on a granular view of how processes work. It is a granular examination of tasks compared to process mining.
Here is an outline of how task mining is carried out.
a. Data Capture and Collection
Task mining relies heavily on data. The capacity to collect comprehensive data on user interactions with different software programs is fundamental to task mining. There are detailed records of every user action within an application, including timestamps, which application was used, and what specific action was performed. These user interactions entail documenting activities, including data input, screen navigation, keystrokes, and mouse clicks. To ensure thorough yet unobtrusive capture, advanced task mining technologies employ software agents placed on users' PCs to record these interactions.
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b. Data Pattern Recognition
To comprehend complicated patterns of user behavior and to detect typical processes and deviations, the raw data collected from user interactions is examined using Artificial Intelligence and Machine Learning technologies to categorize and analyze the data. Organizations may find common errors and best practices by analyzing the flow and sequence of activities. They can also uncover inefficient or incorrect processes that might be automated or corrected.
c. Task Visualization
Task mining relies heavily on presentation, which helps to make sense of the processed data and derive valuable insights from it using tools like performance charts, heat maps, and workflow diagrams. Users interact with several programs to perform their jobs, as shown via visual representations of task sequences. These diagrams show repetitive processes, bottlenecks, and areas for improvement. With the help of heat maps and performance charts, you can pinpoint exactly which apps or processes are time sinks or mistake magnets.
Both process mining and task mining analyze processes and are backed by data. The data collected by both processes are used to visualize operations and gain insights from them for further improvement. Before we debate which is best for businesses, we need to examine the upsides of process and task mining.
The SAP Signavio Advantage
On a broader ecosystem of SAP, SAP Signavio offers a considerable suite of enhanced tools for process management, including task mining and process mining. Signavio's tools are usually employed interchangeably in both process and task mining.
SAP Signavio Process Insights
SAP Signavio Process Insights, running on the SAP Business Technology Platform, is a cloud-based service that provides data-driven insights into business processes and their use. It gets its data from one or more source systems. Before investing in the complete solution, the discovery version of SAP Signavio Process Insights provides an initial assessment of your business process performance and suggestions for enhancements.
It aids businesses in achieving business process excellence by revealing areas for improvement, allowing users to investigate why things aren't working, and then suggesting changes.
SAP Signavio Process Conformance Widgets
This widget lets users compare the actual process execution with the anticipated business process, the BPMN model, to identify inconsistencies or compliance problems. The Process Conformance widget displays many versions of a process compared to a model. This will allow users to compare their process model with their accurate execution. The Process Conformance Widgets show all the process variations that were found before. The relationships between the variations and the process model and any unforeseen occurrences are displayed through this widget.
SAP Signavio Journey-to-Process Analytics
This creates end-to-end maps combined with process analytics, allowing insights into the customer experience. These insights include all the customer touchpoints with recorded customer interactions, experiences, and sentiments. These customer journeys are integrated into customer feedback, enabling continuous process improvement. Recognizing the inextricable connection between an organization's internal operations and the external experiences it provides to consumers, SAP Signavio Journey-to-Process Analytics signifies a move towards a more holistic strategy for customer experience and process excellence.
From Ennuviz
Ennnuviz's BPI specialization benefits clients through data-driven evaluations of their business processes, benchmarking performance against industry standards. Our quick assessments showcase potential areas of improvement. Using SAP Signavio's range of tools, Ennuviz focuses on changing the business process. When it comes to optimizing internal processes and improving external client experiences, Ennuviz is well-equipped to provide end-to-end process transformation services through SAP Signavio's accomplished portfolio. Ennuviz is positioned as a strategic partner of SAP Signavio that can drive substantial business results via process excellence.
Key Takeaways