What are our data sources?
We use the data sources on the side for ranking solutions and awarding badges in process mining software category. Our data sources in process mining software category include;
Process mining software analyzes log and other data created by processes to identify process improvement and automation opportunities.
Process automation reduces mistakes and improves process efficiency. Processes leave behind increasing amounts of data which can be analyzed to identify process improvement opportunities. This is a faster way to improve processes compared to traditional interviews or DILOs (Day In the Life of), through which consultants traditionally aimed to uncover process improvement potential.
To work effectively, process mining software needs to be capable of processing and correctly interpreting data from other software. Advances in pattern recognition and AI have made this task easier. However, process mining software, which can access to information on how the tools used in the process manipulate data, has an advantage in interpreting process data.
Process mining is also called Automated Business Process Discovery (ABPD).
If you’d like to learn about the ecosystem consisting of Process Mining Software and others, feel free to check AIMultiple Process Intelligence.
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We use the data sources on the side for ranking solutions and awarding badges in process mining software category. Our data sources in process mining software category include;
review websites
social media websites
search engine data for branded queries
According to the weighted combination of 7 data sources
Celonis
IBM Process Mining
SAP Signavio Process Intelligence
UiPath Process Mining
Worksoft Process Intelligence
Taking into account the latest metrics outlined below, these are the current process mining software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.
Celonis
IBM Process Mining
SAP Signavio Process Intelligence
UiPath Process Mining
Worksoft Process Intelligence
These are the number of queries on search engines which include the brand name of the solution. Compared to other Process Intelligence categories, Process Mining Software is more concentrated in terms of top 3 companies’ share of search queries. Top 3 companies receive 98%, 6% more than the average of search queries in this area.
97 employees work for a typical company in this solution category which is 76 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 15 companies with >10 employees are offering process mining software. Top 3 products are developed by companies with a total of 300k employees. The largest company building process mining software is IBM with more than 300,000 employees.
Taking into account the latest metrics outlined below, these are the fastest growing solutions:
IBM Process Mining
SAP Signavio Process Intelligence
Celonis
UiPath Process Mining
Worksoft Process Intelligence
We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.
These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.
We analyzed 99 Process Mining case studies and found that these products are the top contributors:
This data is collected from customer reviews for all Process Mining Software companies. The most positive word describing Process Mining Software is “Easy to use” that is used in 7% of the reviews. The most negative one is “Difficult” with which is used in 4.00% of all the Process Mining Software reviews.
According to customer reviews, most common company size for process mining software customers is 1,001+ employees. Customers with 1,001+ employees make up 47% of process mining software customers. For an average Process Intelligence solution, customers with 1,001+ employees make up 45% of total customers.
These scores are the average scores collected from customer reviews for all Process Mining Software. Process Mining Software is most positively evaluated in terms of "Likelihood to Recommend" but falls behind in "Value For Money".
This category was searched on average for 739 times per month on search engines in 2022. This number has decreased to 700 in 2023. If we compare with other process intelligence solutions, a typical solution was searched 739 times in 2022 and this decreased to 700 in 2023.
Process mining software needs to be able to deal with log files of most popular software used at your company. In most companies, these include:
Please note that this is a very high level list. IT department should be able to provide a more comprehensive list. Then, you can provide this list to process mining vendors so they can identify the software which their product already works with.
Focusing purely on processes without paying attention to the business value of processes can lead companies to sub-optimize their process mining efforts. Aligning on business priorities before starting process mining would help teams focus on critical areas.
Different alternatives can provide different functionality provided by process mnining software. However, these approaches tend to be more expensive than process mining
You can refer to our process mining benefits guide to learn 10+ benefits of process mining software.
Process mining manifesto published by Institute of Electrical and Electronic Engineers (IEEE) task force on process mining, lays out the premise and principles that continue to guide process mining today.
Process mining book and the book's online course prepared by Wil van der Aalst, one of the leaders in process mining research are detailed guides into process mining.
Process mining software analyze event logs which store detailed, time series data about events. As a result of this analysis, process mining software can prepare a workflow for the process, suggest process improvements or measure conformance of process to provided guidelines
Process mining tools prepare workflows by mapping events in logs to activities and individual cases. Therefore, a map of cases can be created which shows both most common cases (e.g. processing an invoice by a supplier in company's supplier database) and rare cases (e.g. processing an invoice by a new supplier). Feel free to read the related section of our article to learn more.
Figure:An individual case shown in process mining software Celonis' interface
Figure:Process map with all cases overlaid. Source: Celonis
Interest in process mining is increasing because it helps companies automate and optimize repetitive back office processes. Back office processes are being automated at an increased rate since the 2010s with the emergence of technologies such as RPA and commercialization of AI.
Process optimization has always been a focus point for companies. However, initially process optimization was focused on blue collar tasks. Since 1950s, businesses heavily invested in process optimization and companies like Toyota rose to market leadership positions from obscurity partially thanks to their focus on process. Since 1950s, a number of approaches to process optimization have achieved popularity including Toyota Production System, Six Sigma and Lean Manufacturing
Thanks to emerging technologies such as RPA (robotic process automation), that increased in popularity in the 2010s, it is increasingly possible to automate white collar tasks. According to our interviews with the Automation Anywhere product team, with RPA processes such as invoice to pay can achieve STP (Straight Through Processing) rates of >70%, meaning that 70% of invoices get paid with no manual intervention.
Commercialization of AI is also contributing to process mining in 2 ways. First, improved AI applications are driving back office automation which is driving the need for better understanding of processes. Secondly, improved AI and machine learning approaches are improving the effectiveness of process mining tools.
Process mining software enable process improvement and automation since detailed data in process logs help identify process inefficiencies and automatable processes. Without these insights, automation projects can focus on the wrong processes, partially automate processes or automate processes that have not been fully optimized.
You can read more about this question in the related section of our ultimate process mining guide.
As in any PoC, it is helpful to have a list of goals/assessment areas with quantifiable values. This enables different PoCs to be be compared and PoC to be useful during vendor selection.
In case of process mining software, PoC should be mainly focused on assessing usability and effectiveness.
The best way to assess usability is to have the team that will use the product to build a project with it. This project should focus on one of process mining use cases that your organization chose to prioritize. After the project, they should assess the software using the list they prepared in advance which should allow for objective assessment of different software.
The project results would be evaluated by top management to assess usefulness of the effort. Again, a scoring guideline prepared before the PoC would help evaluate whether the process mining software is a worthwhile investment.
Process mining software would be beneficial for companies with
However, ROI of such initiatives are hard to measure as most benefits are qualitative or difficult to directly measure. A lean approach to estimate the value of such initiatives is to assign them to a relatively junior team member or intern. Top management should guide the pilot with steering meetings and estimate the impact of the initative at the end of the project. If project looks promising, more expensive team members can be deployed to the project to maximize its benefits
Process mining software support the analysis and optimization of business processes based on event logs.
Processes are important for companies. "Focus on the process not outcome" is commonly accepted knowledge. We can't control the outcomes, inevitably there will be variation in outcomes. However, we can control the process which can yield better outcomes.
Though processes are important, they are almost always poorly documented. This is because:
Process mining software helps companies remain informed about their processes and to continuously optimize and automate them.
Process mining is also called Automated Business Process Discovery (ABPD). If you want to learn more, you can read our related article.
Any industry that relies on common software systems like CRM or ERP can benefit from process mining.
There are 6 ways to use process mining software:
For more use cases, feel free to read our in-depth guide that includes 30+ process mining use cases.
Software deployment best practices would need to be followed and process owners and IT would need to be involved in rolling out the process mining solution. Depending on company's prioritized use cases for process mining software, other teams may need to be involved:
IT, non-IT teams that are responsible for process optimization and process owners can use process mining software. Since most process mining software vendors focus on usability and since process mining is non-invasive (i.e. does not make changes to systems or databases), it can be used by non-technical users.
On top of usual tech procurement best practices, features and integrations are the 2 areas where attention is required in selecting the right process mining software.
Selected process mining software should be providing the necessary features to realize your organization's prioritized use cases. Your organization first needs to decide the specific use cases they will use process mining software for. We explained in other answers both process mining use cases and how these use cases are mapped to features.
Selected process mining software should be able to process logs of software that are commonly used in your company. Without this, process mining software will require more manual intervention while extracting insights from software logs.
Necessary feature set to enable key usecases include the below items. However, process mining is an emerging field and not all vendors offer all of these features.
You can read the related section of our process mining guide to learn more.