93% of international business leaders have already implemented Process Mining: 21 Ways to Use the Technology , a process analytics tool or plan to do so within 2 years. According to the latest estimates and studies, including those by gartner, the qualitative result of using process mining is expresse as follows: the level of digitalization, the speed of digital transformation and automation have increase by 25%.
In this article, we have collecte the most common cases of application of process analytics, confirming the theoretical calculations above.
General
1. Optimization of processes.
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The first, but not the only advantage of the technology. By analyzing processes, companies identify their “Bottlenecks”, thereby obtaining the foundation for accelerating and improving the implementation of bp.
2. Discovering processes for automation.
Automation is the key to accelerating and optimizing business decisions. However, effective implementation of rpa is impossible without understanding corporate bps. Process mining allows you to find areas for robotization, and vendors claim that the technology reduces the time to implement automation by 50%.
3. Compliance check.
Compliance with regulations and sla agreements are the most important elements of smooth business operation. Using process mining, companies get a real picture of process execution, identifying the causes of deviations and preventing their occurrence in the future.
4. Harmonization.
The information obtained from the data allows to direct the looking for a phone number for the southwest benefits of process mining towards increasing the synergy of the company’s processes. Case: nokia, using process analytics, ensure uninterrupted work with clients by combining a number of bps relate to sales into a single cycle.
Sales
5. Reducing sales time.
The process of moving from a lead to an order can be time-consuming bu leads which leads to a longer return on investment for marketing. With process mining, companies can identify the causes, understand the problems, and take steps to shorten the cycle.
6. Improving the timeliness of delivery.
Deadlines and the clarity of their implementation are important criteria for the formation of customer loyalty, since no one likes delays and deviations from the planned plans. In this case, process mining becomes a tool whose main task is to identify the causes of problems for the purpose of their subsequent elimination.
7. Identifying the reasons that reduce monthly revenue.
Revenue volume is a value that is influenced by many factors: from the delays describe above to the share of cancelled orders. Process analytics reveals “bottlenecks” that have a direct and strong impact on business revenue, which will allow companies to minimize losses.
8. Identification of key regions
Evaluation of geographic markets and search for alternative, distribution channels are becoming a priority for large companies in the context of transformation of global logistics chains. Process mining allows identifying areas with the greatest economic potential, which will allow businesses to build a clearer and more detailed strategy.
9. Identifying the main reasons for changing orders.
Ensuring process stability is no less important than identifying bottlenecks. Let’s imagine a basic purchase order: the application is sent, the production cycle is launched. Changes are made to the generate invoice. Such a configuration leads to the complication and lengthening of the described bp, and also provokes unplanne expenses. Process mining technology will help to identify the main reasons for which adjustments are made.
Finance
10. Elimination of unfair procurement.
In an ideal world, purchases are made exclusively within the regulatory, framework and in strict accordance with the nomenclature. Life is harsher. Many companies suffer losses due to unfair or ill-considere purchases. Process mining makes it possible to determine which processes deviate from the regulations and helps to understand the real volume of unauthorized transactions.
11. Identifying the causes of delays.
Process analytics allows companies to pinpoint which suppliers or i,nternal departments are not meeting task deadlines and to identify the root causes of the problem.
Accounts payable management
12. Reducing the number of overdue payments.
One of the most common problems in the lending industry is the high level of outstanding debt obligations. Yes, interest and penalties are charge. but the client’s solvency does not increase. Perhaps the key problem lies at the very first stage – analyzing the credit history of a potential borrower. By analyzing these processes with the help of process mining, you can get a detaile picture and change their structure, reducing the number of overdue payments.
13. Identifying the real reasons for incorrect invoices.
Invoice errors or duplicate payments are serious problems, that cause additional workload. Companies can identify the causes of such cases through process analysis. Process mining software is said to reduce duplicate customer payments by 67%.
Audit
14. Before/after comparison.
The use of process analytics allows companies to determine how effectively adjustments to specific areas of the business process were made. Auditors can compare the picture before and after adjustments, identify the real result of the transformations and understand in which direction to move forward.
15. Speeding up the audit process.
The auditor’s main task is to obtain the most detailed and comprehensive information. The classic method involves manual examination of documentation and face-to-face interviews with employees who can give a subjective assessment. Process analytics allows for a quick and objective assessment of the company’s current state.
Banks
16. Mortgage.
Mortgages are the most complex form of lending, and in ,most cases there is room for improvement. Profile tools allow you to map workflows and communication flows and identify repetitive steps and rework that lead to delays.
17. Creating a customer journey map.
Process mining illustrates the customer’s path through a specific channel by extracting data from the crm system. As a result of the study, top management receives detailed information, within which the stages of the business process that caused problems and prevente the client from taking an active action (for example, applying for a loan) are identifie.
Healthcare
18. Administrative processes.
Extensive digitalization of medicine has improved the situation, but has not solved many fundamental problems, primarily in public health care. Process mining, which analyzes event logs, allows you to optimize the solution of routine issues, reduce queues, eliminate duplicate actions and relieve staff.
19. Clinical pathways.
Many medical practices have many variations in procedures and actions. Process analytics allows standardizing approaches, reducing the number of critical errors and gaining valuable time (especially in the treatment of oncological diseases).ed
Logistics
20. Reducing warehouse costs.
In manual mode, it is difficult to determine which warehouses cause logistics problems, and inventory errors lead to additional costs. Process mining provides complete management transparency, which allows companies to reduce relate costs by 40%.
