Deloitte issued a 2022 smart RPA report, and the process mining became a key point

Recently, Deloitte, one of the world's four major accounting firms, released the 2022 global intelligent automation report for the seventh consecutive year. Through technological applications, comparison of previous years, user feedback, technological innovation, etc., Deloitte conducted in -depth investigations on 479 senior executives of 35 countries around the world to view their views on RPA and intelligent automation and market development trends. (Follow the glpa global ecological public account, reply [Deloitte automation] to get the original English report)

We pulled the timeline back to 2015. In the first report of the "Robotic Robot" report released by Deloitte, only 13%of the organization stated that it will increase the degree of business automation by investing in RPA in the next few months. In the 2022 investigation report, 74%of the respondents said that RPA had been successfully implemented. After 7 years of technical iteration and market education, RPA finally broke into the public, becoming one of the most important tools in the process of organizing digital transformation.

Deloitte said that under various AI blessings, RPA broke through the technical bottleneck, expanded the scope of automation empowerment, and further helped the organization to expand the cost of lowering costs and increase efficiency. In addition, most respondents said that artificial intelligence, process mining and process monitoring have become the most popular innovative technologies in the future. 46%of the respondents plan to implement artificial intelligence in the next three years. Essence

Mainly discover

The application of the organization's application of automation has increased significantly, with an average score of 5.04, which is higher than before;

Fragmentation of processes has become the biggest obstacle to tissue expanding intelligent automation;

Process mining and process monitoring are effective technologies that break the process fragmentation and reshape the business process standards;

Process mining and process monitoring has become the most popular innovative technology of intelligent automation in the next stage;

Process mining can illuminate "data in the dark";

Intelligent automation is one of the most effective ways to achieve cost reduction and efficiency and increase efficiency. It is expected that the average cost will be reduced by 31%in the next 3 years;

Process mining, process monitoring, becoming

In the next stage, the most ideal innovative technology of intelligent automation

The commercial value of process mining and process monitoring in the field of intelligent automation has been recognized by the organization, and at the same time, it has become the most ideal innovative technology of the next stage.

When Deloitte asked executives who planned to implement which intelligent automation technologies would be implemented in the next three years, artificial intelligence, process monitoring and process excavation topped the list. According to Gartner's survey data, the process mining market is expected to maintain a growth of 40%to 50%per year, and it will exceed $ 1 billion by 2022.

The Deloitte investigation found that through technologies such as using process mining, task mining, process monitoring, etc. By helping the organization to select high -value processes and establish clear data value, technologies such as process mining, task mining, and process monitoring have proved that they can magnify the value brought by autopsy. Deloitte survey shows that 80%of the respondents agree that process intelligence can identify or identify higher -value business processes.

Although 82%of respondents agreed to use process mining can bring many benefits, only 23%of the interviewed organizations have been excavated in the use process. In order to reduce this application gap, the organization needs to break the obstacles that hinder them make full use of process intelligent potential.

87%of the organization's consent process monitoring is the key to continuously improving data -driven methods. Organizations that use process monitoring can be regarded as the main technologies of transition to data insight -driven organizations.

In addition, the Deloitte investigation found that 63%of the respondents believed that the process intelligent accelerating process discovery and helping to identify automated cases. 30% said that the process intelligence did not have any effect, and only 7% thought it slowed or stopped discovery. For most people, the real value of process intelligence is not to accelerate the discovery process, but to have reliable data to improve and automate the process in business cases.

(1) Process mining can illuminate "data in darkness"

Many organizations are facing the challenges of process fragmentation when applying automation, and process excavation is to overcome this challenge to play an important role. When the task mining and process mining are combined, it can illuminate the "Dark Data" as if becoming a wartime shot light in the organizational business process, and at the same time, it can obtain the experience and accurate insights of how to complete the work. This can reduce changes in business processes, encourage data -driven thinking, and let leaders make better choices.

(2) Process intelligence and effective solution to process fragmentation problems

Through process mining and task mining, the organization can more accurately obtain the end -to -end view of the business process. The visibility of this pain point, abnormalities, and process vulnerabilities enables leaders to adopt appropriate solutions to promote the standardization of business processes.

Process monitoring provides leaders with real -time visibility that is happening in the process, allowing them to track the progress of the standard process that they expect. Deloitte believes that this will help provides the data and visibility required for the solution to the organization, and then lays a solid technical foundation for digital automation.

(3) Always connecting is the key

Organizations should use the process intelligence to monitor the real -time process of "always online", and their digital platforms should be connected to the process mining platform -real -time monitoring and conversion. The leading process mining supplier provides a pre -constructed connector to accelerate this process.

Organization automation maturity has increased significantly

This year, the Deloitte investigation showed that the organization's maturity of automation has increased significantly. Deloitte's automation maturity model from 1 to 10 points (1 represents the smallest, 10 represents the highest). This year's results show that the leap of automation transformation in 2020 is more significant compared with 2019. Organizational self-assessment scores increased from 4.41 points in 2020 (10 points) to 2021-2022. When Deloitte removal of pilot intelligent automation organizations (those real-time automation less than 10 organizations), the data shows that the average score of the executor (11-50 automation) and extension (51+ automation) is 5.96. Compared with Deloitte's 2018 survey results, the number of large -scale deployment of automation has doubled.

Intelligent automation is the organization to achieve cost reduction and efficiency.

One of the most effective ways

Reducing costs is still one of the primary tasks of many organizations to apply intelligent automation. The organization is expected to decrease by 31%in the next three years by adopting intelligent automation, higher than 24%in 2020. The successful application of intelligent automation told Deloitte that they had achieved average cost reduction by 32%. A financial executive in the financial field interviewed during the research period said that the process is fundamentally redesigned and the use of multiple intelligent automation tools has reduced the cost of more than 70%in the target field.

Fragmentation

Become the biggest obstacle to the organization to expand intelligent automation

Organization will encounter various obstacles when applying intelligent automation. This year's Deloitte investigation found that process fragmentation has become the maximum enlarged obstacle, followed by lack of clear vision, lack of sufficient IT preparation and resistance to automated applications.

Process fragmentation: In the four surveys of Deloitte's past four surveys, it is difficult to be united through unified process management and process fragmentation. It is expected that in the next five years or more, the process fragmentation is still the first place, but the organization can take some measures to solve this problem.

In order to reduce the fragmentation of the process, the organization should adopt end -to -end automation methods. Combining new thinking and abilities (such as innovative technology) can help create a stronger process and bring unprecedented value to the stakeholders.

To help break the fragmentation of the process and promote the standardization of the process, the organization should consider using process mining and process monitoring.

End -to -end automation

Deloitte believes that end -to -end automation is a method that focuses on delivering automation solutions throughout the process, which involves the use of multiple tools. This method of providing automation enables the tissue to get more significant benefits in the entire value chain.

The top intelligent automation app has steadily shifted from task -based automation to end -to -end automation. The Deloitte investigation results show that while recovering from COVID-19, more than 85%of the organizations are reassessing how to complete the work. This year, Deloitte's discovery of 92%of the executors, either to implement end -to -end automation as part of its intelligent automation strategy (44%), or plan to implement it in the next three years (48%).

Most organizations start their automation journey with basic tools such as OCR and RPA, such as automation of financial processes. These measures usually bring value, but only one or two tools are used to automate, and its limitations quickly become obvious. Users should consider adding more innovative technologies to the "toolbox".

Key technical analysis

RPA (Robotic Process Automation): RPA is also called software robots. It mainly simulates human keyboard input, mouse clicks and other behaviors through simulation, screen recording, API and other methods to automate the rules and duplicate digital services. RPA has technical characteristics such as strong compatibility, high adaptation rate, and easy use.

Artificial Intelligence: Artificial intelligence technology can perform some tasks that require human thinking, for example, to extract data from images, texts, or voice; propose suggestions, predictions, or decision -making after intelligent analysis of data. Artificial intelligence, including machine learning, deep learning, natural language processing and generating technology, is a key technology to realize non -structured business automation.

Process mining: Process mining through special data mining algorithms and models, identify the models, details, and trends in the logging of information system logs to define and understand many disadvantages of the underlying business process.

Process monitoring (Process Monitoring): Process monitoring is the performance of business processes through process mining and real -time monitoring. The various data insights, suggestions, and predictions generated can help users better implement business processes or transform.

Process Intelligence: This technology includes process mining, task mining, simulation, and execution management tools. Through in -depth analysis of data, it can be optimized and redesigned the automation process to improve higher automation income and efficiency.

Citizen-Led Development: Citizen-led development is a framework that encourages non-IT personnel (people without professional programming foundation) to develop complex business processes with their own development platform through low code and code-free development platform.This method can not only allow business personnel to have the ability to develop automation independently, but also enhance the automation of the entire organization.Low-Code: In the field of automation, low code can help people without programming foundations quickly build an automated business process by visual drag.

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