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The Forrester Digital process Automation (Digital Process Automation, or DPA) report shows that processes run in countless places, including procured third-party general-purpose software, self-developed applications, robotic process automation (RPA), and more and more low-code platform applications. The challenge is twofold: first, most of these technology islands are deeply embedded in business operations and will not disappear soon; second, as enterprises begin to adopt end-to-end automation, complex processes will cross these technology islands. Rediscovering and analyzing these processes is a huge challenge, and discovery and mining tools can be of great help. However, it is unable to fully bridge the widening process gap, and the complexity of business processes is increasing with each passing day.

On September 22, Yanhuangying released AWS PMI process Mining Insight (Process Mining Insight) products, which are designed to help users restore real business processes using the event logs of various business systems, in order to identify problems and optimization opportunities, and take effective program actions to improve processes and efficiency. As a new member of the whole family bucket of Yanhuang CoE (Center of Excellence) process Excellence Center, AWS PMI process mining insight is integrated with AWS PAL (process asset base), AWS BPA (business process analysis) and AWS BAM (business activity monitoring). It realizes the data-driven business process full-link closed loop, empowers the enterprise's digital process management and operation innovation. The release of this new product not only strengthens Yanhuang's leading position in the field of BPM business process management, but also promotes the development of domestic digital process automation (Digital Process Automation, referred to as DPA) market.

CEO Liu Jinzhu said: the company has been focused on the field of BPM and low code technology for 20 years, and the product form has developed from a single BPM software in the past to a cloud native integrated PaaS platform. The release of "AWS PMI process Mining Insight" is a domestic process mining product that the company practices the concept of BPM, targets the development trend of global digital process automation and independently develops and lands. AWS PMI process Mining Insight is a data-driven process analysis tool. Through log process data collection, integration processing and path calculation, the business process hidden behind each system is automatically manifested and presented to business experts in a visual interactive way, and then combined with business data for quantitative analysis and compliance check to provide a scientific basis for process optimization. "AWS PMI process Mining Insight" further complements Yanhuang's product matrix in intelligent BPM domain (bpmPaaS), and provides data-driven process optimization analysis tools for enterprises to carry out long-term process systematic construction, customer-centered business change, and high-performance operation management. As a new member of CoE process Center of Excellence, AWS PMI can be used independently and combined with process carding, process execution, process analysis, process monitoring and other tools to meet the process capability requirements of enterprises at different stages of digital transformation.

Restore the process to provide internal driving force for process optimization and business efficiency

Under the unstable economic environment in the post-epidemic era, the competition among enterprises has become particularly fierce. To gain competitive advantage, business process management plays an important role in optimizing processes, improving efficiency, reducing operating costs, ensuring compliance, providing personalized services and improving customer satisfaction in order to stand out in an unstable market. How to spend less manpower and time cost, restore and run in the process paths, blocking points, bottlenecks and compliance risks of each system based on real data, and then realize data-driven process optimization decision-making? it has become a key link to improve enterprise digital operation management and innovation.

Restore process paths from massive log data

"AWS PMI process Mining Insight" supports a variety of data formats in design. With AWS iPaaS's rich connectors and Dataflow service choreography, AWS PMI has the ability to access data from all kinds of IT systems in enterprises. After users load the business system process log data into the PMI process mining platform, they can quickly restore the real trajectory of the process under the massive data scale through the distributed data computing platform and algorithms. What is more, PMI provides custom modeling of end-to-end business scenarios to achieve series analysis from high-level processes to multi-level sub-processes (such as order to production). From the overall perspective, from the customer satisfaction, business cost reduction and efficiency of the operational starting point, to insight and find the most important process improvement opportunities.

Construction of end-to-end business series analysis model

Discover problems and reveal the efficiency bottlenecks and root causes of business process execution

Wu Jun, co-managing partner of Deloitte process Mining Center, pointed out: the basic principle of process mining technology is to record all the logs of human activities in the information system to reflect the real operation of the business. all digital footprints can be restored into a visual flow chart in the form of algorithms. AWS PMI process mining insight can structure the log information into more readable analysis data. After restoring the complete business process from a data-driven and global perspective, we can better find the bottlenecks, compliance and root causes in the business process scenario by considering various dimensions and links, including business, resources, risk control and other factors.

Discover the key optimization points of the process from the global business

Take the scenario where business efficiency problems are found as an example, users access business system log data to PMI, restore the real process path with the help of process mining, and analyze the execution of the process path in depth with the combination of business fields, time periods and other conditions, and accurately analyze the insight from the global to the local. This process helps to quickly identify bottlenecks and unnecessary steps in the process and improve business efficiency from an overall optimal perspective.

Discovery of abnormal nodes

Take action, integrated platform to help Qianhang Baiye digital transformation and operational innovation

AWS PMI is mainly located in the enterprise organizations that have widely implemented the IT system and have process optimization requirements. After finding the global efficiency bottleneck and compliance risk through process mining, it is fundamental to be able to optimize and solve these problems. As a domestic professional BPM manufacturer, Yanhuang Ying Movie provides customers and partners with integrated CoE combination solutions and PaaS platform capabilities. Adhering to the open business model of giving priority to partners, further expanding the process with partners to explore the boundaries and business value of solutions, and working with many super automation vendors and customers to explore new paradigms of process mining solutions, specifically reflected in the following aspects:

PMI+BPA:BPA is a business process analysis platform with a wealth of process performance indicators. After insight into the end-to-end high-level process analysis through PMI, we can use BPA to analyze the indicators of finer strength at the last level of the process. Furthermore, we can monitor and alarm the fluctuation of key indicators and trigger automatic compensation through BAM.

PMI+PAL:PAL is a process asset repository, which combs and precipitates digital process architecture assets. Through the business flow chart restored by PMI, it can be pushed to PAL with one click to carry out process systematic construction and end-to-end optimization projects for enterprises, and automatically generate the manuscript results of the real process architecture.

As a unified process execution engine, PMI+BPMS:BPMS can automate and integrate the efficiency bottlenecks and compliance risk points found in PMI through the BPM process engine, and then continuously optimize and improve process performance through the process system.

PMI + low code: the low code platform gives business users more initiative in digital transformation, which helps to quickly turn the optimization points identified by PMI into practical applications. Through independent creation and adjustment of applications, more business needs can be met and the improvement process can be accelerated.

Before

After

In the evaluation of the capability requirements of Digital Business process Management platform (BPM), China Information and Communication Institute pointed out that the use of process management platform to continuously manage and improve business processes is the key for enterprises to achieve the strategic goal of digital transformation. After the evaluation of various capabilities, Yanhuang Yingko has become the first domestic manufacturer to pass the certification. As a new force in the digital process automation market, the release of PMI will help enterprises to better discover, manage and optimize their business processes, and realize digital operation management and innovation of data-driven processes. Yanhuang AWS PMI process Mining Insight (Process Mining Insight) has now opened an experience channel, which can be used to make an appointment on Yanhuang's official website www.actionsoft.com.cn.

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