UiPath Process Mining Reviews

The use cases for UiPath Process Mining vary, but it is recommended where companies have a level of maturity in understanding their processes, yet haven't fully mapped them and utilized data. 

We use it to capture data in specific areas where they have good structure in their processes but not necessarily good understanding. We use it to highlight potential improvements and can recommend other technologies to support. We are also examining how it fits with whole business process orchestration aspects to get better mapping and control, while looking at other tools that support broader orchestration. It is a specific tool that can be used at the right time. 

For customers who aren't very mature, it shouldn't be the first implementation - they need to be able to capture the data easily. The types of processes that UiPath Process Mining helps to automate and streamline includes common business processes, especially in logistics and traditional ERP type processes, finance ERP processes, and back-end logistics. For manufacturers or retailers with supply chains, the supply chain processes work quite well, along with certain sales processes. In general, it works across most standard business processes as long as there are structured processes where performance evaluation is desired.

My impressions of the product's ability to help turn raw data into actionable information indicate that we are using it for consulting to show companies where they can make improvements. 

For the right customers, improvements are achievable. It is reasonably successful, but it requires time and energy to set up, utilize, review, work with, make changes, and follow up. It is definitely useful and has the ability to improve performance, but effort must be invested. 

We have found that customers engage with it for a while and then discontinue updating things. It requires continuous work, updating, and ensuring it captures updated processes correctly.

In future releases, better integration towards overall business process orchestration would be beneficial for UiPath Process Mining.

I have been working with UiPath Process Mining for approximately three years, as we adopted it reasonably early when discussing with UiPath three to four years ago and have continued our work since then.

The overall technical support of UiPath Process Mining is rated as a seven. When addressing someone who thinks streamlining processes with automation is not cost-effective, the reality is that when done correctly, it is effective. Today, it is necessary to examine how to use different technologies to streamline processes, whether through AI agents, RPA, or back-end automation. While it won't eliminate large percentages of the workforce as suggested five years ago, it remains important to keep up with competition through process streamlining. However, poor implementation can result in significant expenses without benefits. Mature structured processes are essential - if a company lacks mature processes or strong process owners, it should first focus on gaining process control.

Neutral

The timeframe for configuration, setup, and data collection typically spans several weeks for a project phase. Getting the product operational with initial data can take a few days. However, deriving value, assessing data, and validating correctness requires running it over several weeks with ongoing tuning. The product offers overall simplicity of use and serves as a valuable tool, though it isn't a magical solution. Companies need good process maturity to benefit.

Experience with HR and workforce management processes, particularly seasonal staffing and onboarding, demonstrates that high-volume repetitive tasks are necessary to trust the data. The tool proves most useful with higher volume tasks.

The average number of people needed for deployment within an organization depends on scale and whether the implementation focuses on one business area or complete coverage. We mainly work in specific areas with small teams, sometimes collaborating with existing system integrators. Generally, three to four people are needed for pilots and prototypes rather than full implementations.

Process mining provides better visibility, and if improvements are implemented, the impact on employee efficiency is challenging to measure. 

When assessing total cost of ownership, business cases are built by tying improvements to other aspects. Cost benefits are more easily measured in supply chain efficiencies, reduced claims processing times in insurance, and improved customer experience. For retailers improving their supply chain, there is definite value addition that can be linked to total cost of ownership.

Regarding pricing and overall licensing cost, for existing UiPath customers, it is reasonable. However, for those solely interested in process mining without existing UiPath usage, Celonis is generally recommended. Standard pricing can be quite expensive for non-UiPath customers, but for existing customers, pricing becomes quite competitive.

We maintain a partnership with UiPath, having a strategic support relationship with both Blue Prism and UiPath. The end-to-end visibility offered by process mining dashboards is effective when all data can be captured end-to-end. It is particularly useful when processes span multiple systems. 

The tool definitely increases process transparency, though improvements in orchestration integration would be beneficial. Regarding employee decision-making empowerment, success depends on having good visibility and process owners who are committed to making improvements. While the tool can support visibility and employee empowerment, the right organizational structure must be in place. I would rate UiPath Process Mining as a seven overall.

Our organization has applied UiPath Process Mining to automate and streamline key business processes such as Purchase to Pay and Sales to Order.

Utilizing Process Mining for streamlining processes is relatively straightforward. While it does require an initial time investment, once you've spent some time with it, you gain a better understanding of the system, making your use of it more effective.

The end-to-end visibility provided by Process Mining through its dashboards is highly beneficial, and I find it very user-friendly. Designing dashboards is a straightforward process, and the clarity they offer is exceptional. While there could be room for improvements, such as expanding the design options, overall, it's easy to create dashboards according to your specific needs.

It aids us in transforming raw data into actionable information.

The disability of Process Mining is significant because, in vast amounts of raw data and numerous events, it adds value by making this data more meaningful. We don't lose valuable insights within the event logs, allowing us to trace and comprehend the data, and enabling informed decision-making. This is a major advantage as it empowers everyone, regardless of technical expertise or educational background, to grasp the insights derived from the data. Process Mining plays a crucial role in democratizing understanding and making it accessible to individuals with varying levels of technical or educational backgrounds.

The overall transparency provided by Process Mining to our end-to-end processes is evident and has proven to be helpful. I can confidently state that the clarity it offers has led to tangible outcomes.

We have integrated Process Mining with various systems, specifically for importing data from SAP. The integration was facilitated through a connector provided by the tool. Additionally, our RPA department is utilizing Process Mining, but at present, there are no integrations with other systems beyond SAP. For instance, we currently lack integration with Salesforce.

I find it quite satisfying as the process of exporting data from SAP using Process Mining has been remarkably easy and efficient. We quickly completed the integration, thanks to the clear and well-designed connectors provided by the tool. Furthermore, the flexibility to add tables from SAP, including those outside the standard set, has been beneficial. This allows us to incorporate specific tables that may be developed within SAP for our analysis.

The empowering ability of Process Mining for employee decision-making is apparent, though our department hasn't fully utilized it due to time constraints. There is potential for improvement, especially through the integration of AI. By leveraging AI capabilities, the tool could go beyond presenting data and diagrams, offering proactive suggestions to guide decision-making.

It has allowed us to allocate our employees' time more efficiently, freeing them up for other tasks or projects. By identifying variations in our processes, we've pinpointed areas where significant time was being spent. Subsequently, we undertook several RPA projects to address these inefficiencies, and the results were notable. In total, we completed around six to eight projects, leading to a reduction in time spent of approximately three FTE hours.

The time to realize value with Process Mining varies, and from my perspective, I recognized its value from the outset of our project. However, for our company, the overall time to derive value took approximately four to six months. This duration includes the development phase, along with the time required for people to understand, wait for results, and manage various aspects of the implementation.

Automating and streamlining processes is cost-effective, considering the adage "time is money." Saving time equates to saving money. With the introduction of robots or automation tools, people realize they have more time for meaningful and impactful tasks. This increased availability can boost motivation, encouraging employees to engage in research, negotiations, or other value-added activities. For instance, in departments like Purchase to Pay, automation can empower employees to focus on strategic aspects rather than repetitive tasks.

One of the most valuable aspects of using UiPath Process Mining for our ERP, specifically SAP, is the comprehensive overview it provides. This tool allows us to visualize the entire process landscape, highlighting various process variations within the project. It proves beneficial for comparing our initial documentation, outlining steps like purchase requisitions, approvals, and process diagrams, with the actual occurrences in the SAP system. The comparison capability enables us to identify critical variations and discrepancies between our designed processes and real-world system executions. It empowers our team to address these variations, ensuring that our processes align with the intended design. Furthermore, the feature of tagging compliance issues has been instrumental for us. We've defined specific tags to flag instances where, for example, a single individual both requests and approves a purchase. Such deviations from the established processes trigger alerts, allowing us to address these issues promptly. In the course of our ERP project, we identified and documented thirty-eight audit topics. Utilizing UiPath Process Mining, we focused on twenty of these topics, implementing necessary design changes and conditions in the ERP system to prevent their recurrence. This has been crucial in enhancing our system's compliance and preventing undesirable scenarios from reoccurring.

The inability of Process Mining to address bottlenecks across a variety of processes suggests potential for improvement. While the tool provides details at the bottom of the page that can be adjusted for more or less granularity, there is room for enhancement. It would be beneficial if the program incorporated AI suggestions, such as recommending decreases in certain approval points. By leveraging advanced AI algorithms, Process Mining tools could potentially offer proactive insights and recommendations for optimizing processes, contributing to further improvement in their capabilities.

While exploring other Process Mining tools, I found that most of them effectively handle processes like Purchase to Pay and Sales Order, but they lack features related to manufacturing or production processes. Specifically, there is a need for connectors that can integrate with production parts. This gap represents a valuable opportunity for improvement in these tools.

Improvements could be made in educating a new support team for enhanced efficiency and effectiveness.

We have been working with it for two years now.

We engaged with tech support during the initiation of the Process Mining project. While occasional queries on specific topics may arise, particularly in complex areas, we generally do not require ongoing assistance. Notably, we faced no issues with data exporting or transferring throughout the process. While the services provided are satisfactory, there is a notable shortage of technicians. I would rate it eight out of ten.

Positive

Although we haven't engaged in projects with other tools, we did conduct a Proof of Concept to compare them with UiPath. These alternative tools demonstrated their competence, but our familiarity with UiPath and its integration into our system provides more advantages at present.

We continuously evaluate other tools, engaging in discussions and negotiations to explore potential benefits and assess if there are compelling reasons to consider alternatives or potentially transition from UiPath in the future.

Overall, I would rate it nine out of ten.

We use UiPath Process Mining to determine if there is an opportunity to automate processes using UiPath.

I have used UiPath Process Mining for data capture and documentation, while also performing business analyst tasks. Currently, I serve as an RPA business consultant, covering all phases of RPA. To strengthen my expertise, I seek in-depth knowledge of documentation, table testing, deployment, and different types of case support. My experience encompasses various automation processes I've explored through process mining.

UiPath Process Mining's end-to-end visibility empowers us to document and create a clear process plan.

In process mining, we collect high-level information to characterize processes as either repetitive or involving repetitive data entry, and whether they handle structured or unstructured data. Our focus is on identifying the type of application and the nature of the process, using a high-level overview.

For end-to-end process transparency, the process prioritizes meticulous planning before embarking on any automation initiative, regardless of the specific business process(es) targeted. This extends to source-to-pay, back-office processes, and financial operations. By creating a detailed plan for the current or upcoming year, we can assess the development scope, feasibility of automation, and potential return on investment for each process using UiPath Process Mining. This plan will also include the estimated delivery timeframe for the entire project.

UiPath Process Mining up to certain levels has helped to enhance employee decision-making.

UiPath Process Mining has helped free up 70 percent of our team's time to work on other projects.

UiPath Process Mining helped to reduce our TCO by 30 percent.

Streamlining processes using UiPath Process Mining can be challenging, as it requires initial clarity on various aspects. We need to understand the process scope upfront, including whether UiPath has the automation capabilities to address it effectively. With this transparency, UiPath experts can provide guidance, facilitating a more efficient process mining experience.

We encountered difficulties when trying to integrate UiPath Process Mining with SAP. I would like to have greater integration capabilities.

I would like UiPath Process Mining to utilize more AI in the process.

I have been using UiPath Process Mining for one year.

Before utilizing UiPath Process Mining we did all the process mining manually.

The initial deployment was straightforward. We used a clone repository.

The deployment time depends on the complexity of the process.

We look at the environment and the process being automated and create a process to fit that timeline.

One person is required for the deployment.

The cost of UiPath Process Mining is costly but there are no additional costs in addition to the licensing fee.

I would rate UiPath Process Mining eight out of ten.

Streamlining processes with automation is extremely cost-effective using Uipath. There are other automation tools on the market but Uipath is the leader with many capabilities.

UiPath Process Mining requires maintenance that can be done by one administrator.

I worked on a use case for a pharmaceutical client. Their goal was to understand their current processes and identify automation opportunities to improve their day-to-day operations. I focused on a couple of quality-related processes within their quality stream. This was the primary use case for UiPath Process Mining in this project.

Our client lacked clarity in understanding their processes. They were unsure of the exact workflow and the stakeholders involved. While they had a general idea, they were unfamiliar with specific key performance indicators such as throughput time and the various hand-offs that occurred throughout the process. Therefore, they sought to gain visibility into their day-to-day operations.

Our initial deployment was cloud-based, taking advantage of the POC's flexibility. Given that the data provided was solely in CSV flat files, cloud implementation was feasible. However, the actual live connection was established on-premise due to client skepticism regarding cloud data storage. For live data, most clients still prefer on-premises. However, cloud deployment remains an option for POCs where flat files are provided.

Since the process I worked on was quality control-oriented, it primarily involved a significant number of required approvals. This allowed us to identify which approvals were essential, which were less so, and which could be eliminated. Additionally, the manual nature of the approvals presented an opportunity to streamline the process and establish workflows for approvals. We were also able to automate the assignment of approvals to the appropriate stakeholders, which was previously done manually, sometimes leading to errors or excessive time consumption. By comprehending their business case, we were able to automate this process for them. These are just a few of the outcomes that UiPath Process Mining helped us achieve.

The end-to-end visibility provided by the Uipath Process Mining dashboards is good.

In comparison to other BI tools like Tableau or Power BI, UiPath Process Mining has proven to be more effective in providing business users with the specific information they require. It readily delivers key performance indicators and registries, along with actionable insights into process execution, identifying potential gaps, understanding the various steps involved in the process, and uncovering compliance issues related to time. These valuable insights can be extracted from process planning data, a capability that traditional BI tools lack.

UiPath Process Mining is an excellent tool for identifying process bottlenecks and devising solutions to address them. The tool itself is highly effective, but implementing the proposed solutions to eliminate bottlenecks can be challenging, particularly during migrations. This is often due to a lack of expertise to implement the solutions or a reluctance to embrace change. While providing these solutions is beneficial, I acknowledge that implementing them and realizing their full value can be challenging.

UiPath Process Mining is a transparent tool that provides valuable insights. However, its effectiveness is contingent upon the availability of live data connections. While it is an excellent tool for understanding and optimizing processes, some organizations, particularly those in sensitive industries like banking or pharma, may hesitate to upload their entire data set to a cloud platform for process mining. Therefore, the tool's efficacy hinges on the organization's comfort level with data sharing and access.

Most process mining tools, including UiPath, are versatile in connecting to a variety of source systems. Even if we use SAP as our ERP system and have additional applications running on Oracle or Salesforce CRM, there are numerous integrators available to connect to these source systems. Therefore, connecting to various source systems is not a challenge at all. The available connectors are generally very good. However, connecting to legacy or heritage systems, particularly in the banking industry, may pose some challenges due to their custom environments. For mainstream processes, however, connecting is generally straightforward.

They have been able to automate many of their day-to-day processes, leading to increased efficiency and the introduction of numerous checks and balances. Previously, these issues were undetected within the company. They have also streamlined their processes for clients by identifying areas where approvals were missing or incorrect. Automation and additional checks have replaced many manual tasks, resulting in a significant reduction in processing time. By understanding which areas of their processes were time-consuming, they have been able to implement solutions and improve overall efficiency.

The insights provided by UiPath Process Mining are invaluable. It provides a deep understanding of our operational tasks and processes. When we interact with operations managers or members of the leadership team, they are consistently impressed by the depth of insights we can extract. For example, we can provide detailed profit planning compared to our traditional dashboards. Additionally, while some operations managers may not have access to complete sales or key player data, we can leverage customer data to provide them with more comprehensive insights and KPIs related to their respective offices. This has already assisted them in making informed decisions about aligning their workforce in the backend and enhancing their productivity.

UiPath Process Mining helps to save employees time to spend on other projects. We approach all of our process planning problems with the goal of reducing employee time or helping them identify repetitive tasks that can be easily automated. This has been one of the main use cases we've worked on for most of our processes.

I find the root cause analysis and the reference models to be valuable features of UiPath Process Mining.

UiPath Process Mining is not as user-friendly as Celonis. While Celonis offers a drag-and-drop functionality for building dashboards, UiPath requires some coding expertise. Additionally, the navigation in UiPath Process Mining can be confusing for beginners. This makes the learning curve steeper and the time it takes to build a process mining project longer, especially for those who are just starting. However, once users get the hang of it, the tool becomes easier to use. Nevertheless, for non-technical users or those who have not worked with process mining tools before, the learning curve can be significant. While a technical background helped me pick up the tool quickly, others may find it more challenging.

I have been using UiPath Process Mining for one year.

I would rate the stability of UiPath Process Mining seven out of ten. When we first started using it we experienced minor bugs.

Regarding scalability, we can connect to major SOAR systems like SAP and Oracle, which are quite scalable in our experience. However, we are less certain about the scalability of UiPath Process Mining with other platforms or SOAR systems. That said, the major SOAR systems and major processes, such as CP2P and hire-to-retire, are generally scalable.

I have not had to contact the technical support team of UiPath because I can find all the answers I need in the helpful discussion forums.

Regarding features, Celonis stands out with its extensive array of capabilities, including object-oriented process mining, and its continuous release of new features. UiPath Process Mining excels in reference model generation and root cause analysis. While UiPath Process Mining also offers these features, Celonis' advancements in newer features and innovations place it at the forefront of the process mining landscape. UiPath could benefit from further innovation and enhanced feature development to keep pace with Celonis.

The initial deployment time depends on the size of the data and the dashboards required. It can take about one week, but for a simple data upload and dashboard, it can be done in a couple of days.

UiPath Process Mining pricing is comparable to other tools in the market. I believe Celonis offers a three-month licensing option, but I think it's on par with the other tools. I'm not entirely sure about the field licensing as I primarily work as a partner. I'm not certain about the specific pricing tiers, but I'm confident that it's in line with other market offerings.

I would rate UiPath Process Mining seven out of ten.

If someone believes that streamlining processes and automation are not cost-effective, I would suggest that their approach may not be optimal. Perhaps their implementation strategy was flawed, their chosen processes were not suitable, or their contract was overly expensive. In my experience, I have consistently achieved positive or highly satisfactory outcomes for clients. Therefore, it is likely that they need to refine their approach to address the issue effectively.

Our clients are enterprise-level.

UiPath Process Mining requires ongoing maintenance due to the dynamic nature of data and evolving business requirements. While the initial implementation may involve comprehensive requirements gathering and a robust solution, ongoing maintenance may be necessary to accommodate new data sources, data analysis perspectives, or additional tables and dashboards. However, these maintenance efforts are typically routine updates and dashboard refinements rather than major overhauls.

I would rate the UiPath Community eight out of ten.

I recommend implementing UiPath Process Mining, but it's crucial to have a well-defined strategy in place beforehand. Since it's a relatively new technology, it's often misconstrued as reporting. Therefore, we must carefully select the use cases we pursue and how we present them to the business or clients. Process Mining is distinct from traditional reporting and KPI dashboards, which often leads to confusion. It's essential to clearly articulate the distinction and emphasize that Process Mining delves into the intricacies of their processes, not merely providing KPI data.

Our primary use case is identifying complex reports, such as monthly reports that take more than seven to eight hours to execute, and working with clients for automation. It is particularly used for discovery in other processes in SAP, including utility and entertainment clients.

We are able to identify which processes can be automated more easily, and then work with teams, thus saving a significant amount of time. Process Mining has helped avoid the need to sit with different clients to understand processes as it allows us to see via dashboards where automation is feasible.

The most valuable feature of Process Mining is its ability to highlight the points where automation is required and where decisions are needed. It allows us to clearly identify automation opportunities for complicated processes and displays the output in a simple manner.

The tool could be improved by making integration simpler with most applications. There are challenges with browser and legacy applications that need to be addressed.

I have been working with UiPath Process Mining for around six months.

I would rate the stability of the solution around eight out of ten.

Integration is the biggest scalability issue, especially with older applications. Overall, the scalability rating would be affected by integration challenges.

The customer service and support provided by UiPath is quite good, with some room for improvement. They typically provide the necessary details when a high-priority ticket is raised, but technical support could be improved by having more skilled resources available.

Neutral

There was a separate team within our organization that handled the installation on the server, so I was not directly involved with the deployment.

Process Mining saves time in implementing automation, with an estimated twenty to thirty percent time savings. The overall cost reduction might be around ten percent.

The licensing costs for Process Mining are considered expensive. They are dependent on orchestrator and bot licenses, and even with negotiation, the approximate cost could be around fifty thousand dollars per year.

For organizations with complex applications and a need for extensive automation, Process Mining is a helpful tool to identify areas that can be automated.

We are a UiPath partner and we work for manufacturing companies. There are a lot of processes out there with deviations. The Process Mining tool will let us know the exact deviation. Once we find the potential for a bot, we will do process automation using UiPath.

Wherever we find processes that are having problems, we run this tool to see where the bottlenecks are and where, exactly, Process Mining can help us.

Many of the manual processes within manufacturing take a lot of time. We leverage Process Mining and UiPath so that decision-making will be done quickly by robots.

Its ability to help empower employee decision-making is a four out of five. It provides a graphical representation. Whenever there is a bottleneck, a deviation in the process, we can easily see it on the dashboard.

The solution has also helped free up people's time for other projects. It depends on the use case, but the time it has saved me is around 20 percent.

And it has helped reduce our total cost of ownership.

Once you understand the flow, using Process Mining to streamline processes is easy. It has drag-and-drop abilities that make it very easy to operate.

The transparency offered by Process Mining into end-to-end processes is a four out of five.

Within UiPath, AI Fabric is a valuable feature, but Process Mining can be further improved with AI. AI is booming. Once they improve the AI capabilities, more and more customers will come to UiPath. There are a lot of tools with AI capabilities.

I have been working with UiPath for almost five years.

The stability is improving. When we were using it four or five years back, it was not mature enough, but now it's becoming smoother. The stability is an eight out of 10.

It is scalable.

For technical support there are a lot of forums, and there is also the UiPath Academy. There is also the actual support.

Positive

I did not use another solution previously.

The initial setup is very simple when you compare it with other tools like Celonis or IBM Process Mining. We require proper licenses, but the tool is a plug-in.

It can take time to realize the benefits of the solution. The minimum is two years.

The price depends on the number of bots you take. There are a lot of open-source tools that are free. When you go for UiPath, it will cost more. But if you compare it with Blue Prism, that solution is more secure and more costly. UiPath is average in terms of price.

My advice is to get used to the product first. Install the free version and play with the tool and the data. Then things will go smoothly.

Every process has its own ups and downs. We identify the correct processes, and sometimes it is feasible and sometimes it is not feasible to automate them. This is a new technology, and when you use any new technology, there will be limits. Overall, it's a very good tool, and we have improved our revenue with it because a lot of manual tasks have been eliminated.

UiPath is deployed when there are large numbers of processes.

We currently get no benefits from process mining because our team has been shut down.

We haven't automated processes based on UiPath Process Mining, but we've used it to gain insight into our processes. It also helps us refine and speed up our standard operating procedures. I rate UiPath Process Mining seven out of 10 for transparency. 

Unlike scan.ai, UiPath Process Mining doesn't provide high-level insights. It isn't easy to integrate. They should stop selling and try to bring more value into the system. A person can have only 10 UiPath Process Mining licenses, but nobody uses them, so in hindsight, everybody feels like UiPath is a failed product.

We have used UiPath Process Mining for three years.

I rate UiPath support five out of 10.

Neutral

Celonis and Scan.ai are 1000 percent better than UiPath Process Mining.

Deploying Process Mining is a complex process. We hired a consultant, but they also failed. Four people are needed for maintenance.

UiPath Process Mining is expensive. Celonis is cheaper and offers more value. It's highly effective, but they need to use the right tool in the right way. If everyone buys a Ford but no one drives it, people will feel that Ford isn't a good car. However, if everyone is driving a Honda, it may be a less well-known car, but everyone thinks it's great because they see it on the road. 

I rate UiPath Process Mining five out of 10. Process mining is an excellent tool, but if the support and implementation are weak, no one will appreciate it, or they will say the wrong things about it. UiPath can improve because no one is perfect in this world. If you go to the server, you will find nobody is using UiPath. All the numbers are fuzzy. No case studies are coming in, so nobody is using it.

We leverage UiPath Process Mining to uncover and map the workflows for our diverse clientele.

Most of our processes mining is invoicing related.

UiPath Process Mining makes it easy to streamline processes.

The visibility provided by the process mining dashboards is great.

UiPath Process Mining does a good job of removing bottlenecks from a wide range of processes.

The overall transparency offered with process mining into our end-to-end processes is good. I would rate it nine out of ten.

Integrating UiPath Process Mining with our existing systems and environment was easy.

The ability to help empower employee decision-making is good.

Up to 20 to 30 percent of staff time has been freed up for other projects.

UiPath Process Mining helps reduce our customer's TCO.

The time to value varies for each business. Some of our customers saw value within the first three months. 

The ability to transform raw data into actionable information can be challenging due to the variability in our customers' processes. While online, in-system data is readily accessible, offline or manually processed data presents significant hurdles.

The pricing can be improved.

I have been using UiPath Process Mining for six months.

I would rate the stability of UiPath Process Mining a nine out of ten.

I would rate the scalability of UiPath Process Mining a seven out of ten because it is costly to scale up.

UiPath Process Mining is priced high compared to other solutions.

I would rate UiPath Process Mining an eight out of ten.

While automating mining processes may incur higher costs in the short term, it offers numerous long-term benefits.