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Key Takeaways
- Process mining helps enterprises reveal the gap between how processes are designed to run and how they actually perform day to day.
- Without process mining, traditional BI tools and annual reviews fail to detect deviations, bottlenecks, or process inefficiencies at scale.
- Process mining exposes significant revenue loss due to process weaknesses that most Enterprises are completely unaware of.
- Real-world process mining wins include Vodafone, VTB, and AkzoNobel who achieved measurable gains in automation, throughput, and cost efficiency.
- Process mining core features like Process Discovery, Bottleneck Analysis, and Compliance Checking give you full, fact-based transparency.
- Apply process mining across industries, finance, retail, logistics, manufacturing, wherever digital event logs exist.
What Is Process Mining?
Process mining is an analytical technique that extracts and visualizes real business process data directly from event logs in your IT systems. Unlike traditional process mapping, which relies on interviews or assumptions, process mining shows exactly how operations actually run, not just how you think they run.
Every completed action in system, a purchase order raised, a ticket closed, an invoice approved, creates a digital footprint. Process mining collects these footprints and reconstructs the full end-to-end process flow, capturing every variant, detour, and delay your teams may never have known existed.
The blog is an introduction for a 3-part series on how additional insights can be gained from your in-house data through process mining to offer competitive advantages.
Organizations have a strong understanding of their critical business processes, such as what is the approach to follow, when it is supposed to happen, who should do what, and under which condition should it be happening, in theory. However, in practice, the actual scenario could be very different from theory, and companies lack the insight to track these dissonances in process steps. Traditional Business Intelligence (BI), web analytics platform, and other statistical tools are not able to detect deviations, bottlenecks, or scrutinize in such cases.
Figure 1- Ideal/Expected process vs. Actual process
Process Mining serves as a new means to improve processes across different clusters. It is an innovative analytical approach that analyzes data from the event logs to gain insights and expose/uncover hidden problems. The event logs help visualize how work is happening, including who did it, the time taken to complete it, and how it departs from the average.
Why Is process mining important?
According to market research done by IDC, not only most businesses are unaware of lost potential due to process weaknesses, but they also lose 20-30 percent of their revenue that way.
A company’s ideal process can look very different from that of the actual process. Traditional approaches (annual reviews, employee/customer interviews, workshops, etc.) tend to give a picture very similar to the ideal model but are very far from reality.
Using key performance indicators (KPIs ), process mining identifies where exactly there are opportunities to correct or improve processes.
Real-World Examples of Process Mining Success
- Vodafone used process mining and discovered that they have low automated transactions. It resulted in increased purchase orders from 73% to 85%, reduced cost from $3.22/PO to $2.85/PO, and improved time to market by 20%.
- VTB (Russian bank) wanted their processes to be cheaper and faster. Hence they used process mining, and it shortened the throughput time by 30% and, in turn, improved customer satisfaction. It also increased the percentage of timely-handled accounts from 68% to 98%.
- AkzoNobel (Paint manufacturer) missed transparency of what happened in its end-to-end core processes. To overcome this, they used process mining and identified that 18% of processes have manual changes. This led to automation and resulted in cost reduction.
- Veco (Manufacturing company) used Process Mining to reduce the manufacturing lead time of precision parts. It resulted in the reduction of throughput time by 50%.
Process Mining- Features
Figure 2- Process mining features
- Process Discovery Fact-based understanding of your operations by transforming data to process maps. It helps organizations discover the truth and make better decisions based on the evidence found in the organization’s systems
- Compliance Process mining enables an unbiased and fact-based process compliance checking. By discovering and visualizing the actual process and related details, companies gain full transparency of their processes.
- Performance Analysis Performance is defined by the efficiency, effectiveness, or success of an event or an entire process. A high number of process variants indicates that the process is non-linear and often has a negative impact on the overall performance.
- Bottleneck Analysis A bottleneck describes the scarcity of resources, products or manufacturing materials. A bottleneck delays the processor affects its performance, increasing the throughput time, or even bringing the process to a complete halt.
- Time Analysis The duration of the process results from the length of the individual activities, which constitutes a process. ’It’s one of the factors that go into measuring overall process effectiveness and efficiency. A shorter or longer duration may have a positive or negative impact on a process.
- Process Improvement Process Improvement involves identifying, analyzing, and improving the existing business processes within an organization for optimization and to meet quality standards.
Figure 3- Variants/Traces associated with the same process
Benefits of Process Mining for Enterprises
Insights from Raw Data
By reconstructing the process from data already present in the IT systems (event logs), Process Mining allows organizations to diagnose problems based on facts rather than assumptions. This approach eliminates causal and other human errors from the analysis and facilitates structured process improvement.
Wide-Range of Applications
Process Mining can be applied for all processes from purchase-to-pay (P2P), order-to-cash (O2C), customer journeys to IT management processes, and in every industry from finance, retail, insurance/banking to logistic services.
Fast and Cost-effective
Process Mining reduces the analysis time and minimizes the costs by reducing the number of consultants/analysts.
Scalable, Repeatable Analysis
Process Mining connects the knowledge gap that exists between various systems, departments, and functions. The same analysis can be performed again with new data almost without any additional costs.
Conclusion
Manufacturing, sales, insurance, logistics, medicine- all these industries have started exploring the world of process mining. Where there is a digital trace, there is an opportunity for process mining. It has revolutionized how companies extract data and derive actionable insights, but its full potential is yet to be realized. Organizations are now turning to process mining to extract maximum value out of their data. The benefits are faster however accurate insights of the actual processes, speeding up understanding and providing full transparency about the day to day business processes.
In the next blog post of this series, we will discuss how process mining has helped derive more information and insights for a fictitious Smartphone coating company.
FAQs
1. What kind of data does process mining use?
Process mining runs on event log data, the digital records your IT systems generate every time an action is performed. Every approval, status change, or department handoff leaves a timestamped trace that process mining reads and reconstructs into a full process flow.
2. Which industries benefit most from process mining?
Finance, retail, insurance, logistics, manufacturing, and healthcare actively use process mining to improve operations.
3. How long does it take to see results from process mining?
Process mining delivers results far faster than traditional improvement methods like workshops or annual reviews.
4. Is process mining expensive to implement?
Process mining is cost-effective compared to consultant-heavy approaches. Repeatable process mining analysis with minimal additional cost means your investment compounds in value the longer Enterprise uses it.
5. Can process mining integrate with existing enterprise systems?
A bottleneck is any process point where capacity or resources are constrained, silently inflating cycle times and eroding margins. Process mining surfaces these choke points automatically, showing exactly where slowdowns occur, how long they last, and how frequently they recur across operations.
