UiPath Process Mining Reviews

I used the solution for one of our pharmaceutical clients based in Japan. It was a typical process mining project. They gave us their data, and we fed the data to UiPath. We then prepared dashboards and provided the clients with valuable insights, like the bottleneck for the process and where they could save money.

Our clients were quite shocked at the issues in their processes. They realized that there was a lot of time consumption on approvals. They were very happy with the outcome of the project. They decided to make the changes and observe whether they saw any benefits. If they see any benefits, they will implement it as a live project. It was a typical process mining project.

We use both BasicConnector and AppOne features. We dump our data in the server data and create files in it. In BasicConnector, we do the necessary transformations. In AppOne, we prepare the dashboard based on the best way to represent it.

UiPath has an in-built feature that calculates rework. In most cases, this calculation by UiPath is wrong. UiPath intelligence does not consider that the definition of rework varies for every process and firm. It just considers the normal definition that if a step is repeated twice, it will be a rework. Sometimes, repetition might be necessary for the process.

When we understood the issue was with UiPath intelligence, we deleted it and created our own single-value KPI for rework. The intelligence KPIs offered by the solution are not up to the mark. I don't know if this feature was changed. I am not sure about the current situation.

I have been using the solution for almost a year.

We haven't had any downtime. The product was highly stable, and the data flow was very smooth. It was very fast, too. Even though we were working on virtual machines, the solution was very smooth and fast. I rate its performance a ten out of ten.

The technical support is amazing. If I'm stuck anywhere, I can get the solution within 24 hours. I can totally rely on UiPath's support team.

Positive

We access everything through our Superadmin access. We use the SaaS version. The initial setup is quite easy. It's just a URL. You can contact the vendor and get the credentials. It's very straightforward. It's just like logging into a portal. It's as easy as that. We just have to enter our username and password and start working.

Two business value architects and two data engineers, including me, worked on the solution. All four of us had Superadmin access. We shared the business view link with the clients.

Celonis is a market leader. Celonis does not offer anything outside process mining. If I have identified a bottleneck that can be solved through automation, I cannot do that using Celonis even if I know how to do the automation. I would have to rely on another RPA tool. If I use UiPath, it will be an end-to-end solution for me. If a bottleneck can be solved through automation, I can use UiPath RPA to implement the automation.

The product is very compatible with other UiPath tools. It is the biggest pro. In process mining, the main objective is to determine and identify automation possibilities because we can save money only by doing automation. UiPath RPA is one of the best RPA tools in the market. Getting all these features with one license is beneficial for the people who license the solution and the developers.

I worked as a functional guide and data engineer for our client. The client's team was not sure about what they were lacking. Every process has some bottlenecks, variations, and inefficiencies. The client wanted to understand the flaws in their processes and streamline them. We also helped them understand how they can save money by streamlining the process through automation capabilities.

It's not cheap to implement process mining. We suggested to our clients that they could automate certain processes, but we did not implement them. We only gave them suggestions. We told them about the projected savings they could achieve if they implemented them according to our recommendations. It was a POC. The clients didn't know the concept of process mining. They were just exploring what process mining generally offers and whether it would be wise to implement process mining in all their processes. At the core, it was a typical incident management process. Most of their processes were very closely related to ITSM. They might have other processes like supply chain management and order to cash, but we were not exposed to those processes.

If someone has enough budget, they should choose Celonis because UiPath's process mining is not up to the mark. It's a bit difficult to get data in UiPath. When I used UiPath, there were no connectors to extract data from databases or data warehouses. We were using Databricks. We had to extract data from Databricks in Excel file format manually. Then, we dumped the data into UiPath's server. There are better tools when it comes to process mining. However, if we use UiPath RPA along with UiPath Process Mining, it could be used to its full potential. If someone is not using UiPath RPA, they should choose a different process mining tool.

The end-to-end visibility offered by the Process Mining dashboards was good. Whatever we were trying to build was quite straightforward. If we are comfortable with HTML, then it is quite straightforward. If we are uncomfortable with HTML, we'll face some initial hiccups. However, we will get a hang of it eventually. It won't be a huge roadblock. I have used other process mining and visualization tools. Initially, it was a bit difficult for me.

If we are using UiPath Process Mining in addition to AI Fabric and UiPath RPA, it will deliver the most value. UiPath Process Mining is not a good standalone solution. It is a good solution when we use the whole package. Data visualization tools like Power BI, Tableau, Celonis, and Signavio have drag-and-drop facilities. We just have to mark our dimensions, and the dashboard is complete. In UiPath, we have to do everything by ourselves. We will have to write proper HTML codes. There is a positive aspect to it, too. UiPath allows users to do white labeling. It is a unique feature of the tool. No other product allows users to put a client's logo or change the color scheme.

The ability of the product to remove bottlenecks from a wide range of processes depends on how we mine the processes. It depends on the dashboards we prepare and the analysis we build. It totally depends on the capability of a business value architect. As a data engineer, it doesn't matter to me which tool I'm using. I just do the transformation. It is up to the business value architect and how they derive information from the visualized data to deduce the business cases, values, and bottlenecks. At its core, every data visualization tool is the same.

The overall transparency offered by the solution in our end-to-end processes was great. It was a new experience for us. We also got continuous support from the product's technical team. UiPath generally offers the UiPath Forum. The process mining tool was new last year. Certain questions were not posted on the forum. So we had to read all the documents. Most solutions are available in the documents. We can raise a ticket in the support portal when we face issues. The support team is very helpful. The team helped us with everything, so the project went smoothly.

We didn't integrate the tool with anything. We just dumped the data in the form of flat files. We did all the transformations in SQL Server before dumping the data. Before we feed to our visualization tool, we need to do a basic transformation like handling duplicates. All the other process mining solutions provide users with a space to do the transformation. However, UiPath does not give us that liberty. We must have the final files to start process mining in UiPath. It is a big disadvantage. To overcome this, we must put additional cost for another transformation space like SQL Server.

The project went on for almost two months. There were many hiccups, and the client was new to UiPath Process Mining. In the end, it went smoothly. It took some time because it was a new experience for all of us. The documentation was very helpful. The support team and the people training us in the product were also very helpful. They helped us with all our doubts.

Someone who thinks that streamlining processes with automation is not cost-effective might be someone who doesn't know how processes work. Streamlining processes is the best thing we can do with the processes. Otherwise, we will lose money and won't even notice. We'll just be frustrated and wonder where we are losing the money. We won't earn anything. Every time we receive a project, we focus more on automation because it helps us save money and resources and reduces the risk of human error.

If the process is a standard ERP process, like O2C, AP, AR, or P2P, there are live data connections in UiPath. However, we still cannot do transformations. We must look for a different tool for transformation. People considering using the solution must have some knowledge of HTML and JSON. Certain things do not make sense in UiPath, like the data flow between the backend and frontend. It does not make any sense, and we won't be able to figure it out by looking at the tool. We'll definitely need someone's guidance. If someone is working on traditional process mining tools, UiPath could seem different to them.

All in all, it is a great solution. Every product has some drawbacks. If someone is looking for a full end-to-end solution that includes automation, they should use UiPath. Otherwise, there are better tools in the market.

Overall, I rate the solution an eight and a half out of ten.

I use the solution as a POC in the automotive and financial industries. I use it as an RPA for process mining.

We did two POCs. The first was about repairing vehicles. The second was in a bank environment. That was related to having different branches being able to check customers.

So far, the solution has been effective in helping us automate and streamline. In the case of the financial POC, it helped with sharing and gathering documentation.

The process learning feature inside the wider suite is helpful. It helps with integrating and using, for example, AI features related to process mining. It helps customers expand their digital transformation journey.

The personal learning tools are good.

It's good as a tool to help streamline processes. In one of our POCs, we were able to illustrate to the client how easy the product was to work with. We obtained this goal.

End-to-end visibility is achieved through dashboards. They provide templates. You can personalize those templates and create dashboards with your own views to help maintain visibility. Other products do offer out-of-the-box views that are pretty standard.

UiPath can help remove bottlenecks in a wide range of processes. We can go in and analyze. UiPath can guide us during that process and help us observe issues in an easier way. It has a specific view where you can put features side by side for activity, duration, and frequency to see what can move faster.

The solution has task management capabilities. The product is inside a bigger suite that can do more things. There's task management, for example. There's, of course, process mining analysis. After that, there's the ability to build RPA. The bigger picture would be to have these three factions integrated. However, we've started with process mining. 

It's not very easy to turn raw data into actionable information. You have to prepare your data before uploading. In the pn-premises version, it would often take four hours to prepare a configuration for a single process. Today, you can do that faster. However, you have to create files with various templates - and you have to use specific formats. It all has to be extremely specific, right down to specific log names and column orders. It's a constraint.

The end-to-end visibility could be made more clear. I can't see a specific view frequency or activity frequency.

Performance checking could be improved. I'm not sure if this is due to the fact that they are gradually migrating old features from on-premises to the new cloud version. 

I started using the cloud version of the solution four months ago.

I've never noticed any stability issues. 

I've never attempted to scale the solution. 

I haven't really dealt with support other than to ask about alert modules or the availability of specific alerts. That said, general support was very quick to answer and clear in their response.

I'm also familiar with IBM Process Mining and that tool is easier to use from a technical perspective. It's easier to create processes and upload logs via the UI faster. 

I'm not directly involved in the deployment process. I'm on the cloud version, I'm not sure if much maintenance is needed. 

I haven't attempted to integrate the solution with other products just yet. I'm only using it and uploading it manually. I'm interested in integrating in the future. We're still in the POC phase. Generally speaking, one of its biggest advantages is the possibility of integration with features within the greater ecosystem.

The product overall is good. It has enough views for analyzing processes, yet there are still no distinctive capabilities or features to pay attention to. That's just in relation to my own personal processes at this time. 

In the end, streamlining processes with automation will be cost-effective. A big part of our work is to help the client understand the processes and to show them, if they are working in the wrong way, how they can fix it and save money. By improving processes, customers ultimately will cut costs. You have to sync and streamline before you throw money in.

I'd advise people to be careful about the input of data. Sometimes, specific forms or structures are needed.

I'd rate the solution seven out of ten. 

There are multiple use cases. For example, we have automated shipping process for the operations department, including shipping repairs, production line assembly, and line automation using attended robots. 

Using unattended bots, we have done Engineering, finance, accounts receivable, invoicing, invoice validations, and reconciliations. For sales, we have automated order management and order inquiries. We also have proactive monitoring bots for IT. So daily IT jobs are monitored, and the robot automatically takes action by triggering tickets in ServiceNow. 

Every human-dependent task has been automated and is now entirely done by a robot. Still, the people who formerly did the job are part of the process. They check if the robot is doing it right or wrong. And then, we keep on retraining the robot for any new exceptions that come up, so we are fully equipped to handle new scenarios. So this has fostered a culture change within the organization where people are coming up with ways to automate what they were spending several hours a day doing. Once these tasks are automated, they can focus more on the company's strategic initiatives. And that's a win-win for the company as well as the employees.

With UiPath in place, we are moving away from training people on the core applications, which are pretty complex. We've built a headless frontend (Touchless ERP), so it's really easy for anybody to join our company and be productive. A robot handles shipping, repair, and the assembly line instead of a human. Plus, these processes are executed with high accuraccy, removing human error from the equation. That's how we are mitigating a lot of our human-related problems.

Furthermore, the culture that we've built has helped in terms of the principle of retire, recruit or resign. So when someone quits, retires, or we need to recruit, we first determine if we can automate their job functions. The RPA governance team tries to digitize the person's tasks as well as their knowledge and experience in the organization.

The attended bots have helped a lot, and we have a leveraged concept of touch-less ERP. We can build a UI or a headless frontend, like a popup, that interacts with a human, and then the robot carries out its function. So the person doesn't need to be trained on any core applications like Oracle ERP or customer applications, which would entail additional screening responsibilities and the normal human tendency to make mistakes. 

So we have built a headless frontend that is technology agnostic. And it interacts with the end-user in a user-friendly, straightforward fashion. So it's only four or five steps, whereas it was formerly 30 or 40 steps. And that's how this way of implementing RPA has helped the customer heavily. 

Process mining is something that we are doing, but I think it needs to be more mature. UiPath is still new to process mining. They are decent in SAP ERP when it comes to process mining. But compared to Oracle's E-Business Suite and all, they are still pretty new. And they need to come up with some model templates for how to adopt process mining within your organization. For example, they could use some accelerators to help onboard customers. Right now, it's not that easy. So process mining is something that they need to improve on for Oracle ERP.

UiPath has an excellent strategic roadmap when it comes to features. So if it's not already in the works, one thing they could add is AI fabric, and if UiPath could bundle it into the primary licensing with Orchestrator, that would be great. Concerning artificial intelligence and NLP machine learning, we are getting rid of the requirement where a chatbot can integrate and synchronously interact with the robot in real-time.

The ability to listen to and reply things in real-time would be good to have. They are already doing it, but the ease of implementation and options to integrates needs to be flexible, and the license should be bundled into their current offering so that it's more cost-effective.

Another thing is UiPath's OCR we hope it has the same quality as FlexiCapture, a separate solution by ABBYY. That would be awesome if the UiPath had native OCR functions that were the same level of maturity as FlexiCapture.

I've been using UiPath for three years now.

UiPath Cloud Orchestrator and on premise bots has 100% stability in last 3 years we have faced zero Product related issues. the Platform is rock solid stable robust also upgrades have been very easy to do with zero impact on existing running processes. 

We have around 34 RPA Processes built using UiPath have a very good execution success rate of 94-96% , rest 4-6% failures/exceptions are only due to data or network issues.  

Scalability is great with UiPath. We have a distributed load for robots, so the long-running ones run on a different unattended bot while the fast-running and business-critical bots run on a dedicated VM. So that's how we have distributed the scalability. But if you want to add a new bot, it should take less than 30 minutes to host or create a new machine. And then, the deployment or deployment of the package or the code takes less than 30 seconds. So It's hardly 30 minutes. 

So about 20 attended bots are deployed. Some of them are in two or three shifts. In total, around 40 people are using attended bots, and there are only two unattended bots. So UiPath is running more than 30 processes for 30 different people. We also have around eight business analysts spread out across various departments who use this too. So you're talking about 50 plus people at least connected right now. And these are purely business analysts or  staff on the shop floor, like operators and repair technicians. But the processes that we have developed are helping around 60-plus business users that we use to do something.

So technically, with the deployment that we have done — around 24 robots—the utilization for the unattended robots is approximately 52 percent. So technically, what we have is sufficient for the next year, at least. We can develop more processes with the existing licenses that we hold. So definitely expansion-wise, we'll expand more on the process side.

UiPath technical support is excellent. They have a good knowledge base, and the support team resolves issues fast. Once you create a ticket on cloud technical support, it's pretty easy. You get an email, start communicating, and then it is solved in a day or so.   

The UiPath licensing and product teams have been beneficial. They gave us an option of a free trial where you can download it free and use it for 60 or 90 days. And that trial is extendable. So we got six months of free usage for UiPath Enterprise Edition. And that's how we were able to do things confidently. We could implement things to show to businesses and get funding. UiPath has been flexible when it comes to licensing costs, including free trials. Their e-Team comes in, helps you deploy, implement stuff, and solve technical challenges you have on the ground. 

We hadn't used any automation solutions before. It was always a human. 

Out of all the automation solutions we tried, UiPath was the easiest to install and configure. Within less than 20 minutes, you can set up a machine with the robot and make it functional. For the initial setup, if the Windows machine is ready, you only need to install and set up the robot.

UiPath also has the simplest deployment versus all the other vendors. Deployment takes less than 30 seconds. It's just a click of the button from Orchestrator, where the packages are available to download for the robot. In addition, there is an auto-download feature that automatically installs the packages remotely on several machines.

So the implementation strategy includes unattended bots in data centers, which run on their own. They are in a secure facility and are very hardened machines. They only communicate certain out-call to Orchestrator in the cloud. There are also attended bots sitting all over the warehouses and people using them on their own laptops. So implementation strategy for the attended bots isn't complex because they are overseen by daily users on their laptops and desktops. So it's deployed on those machines. Additional security and hardening will be required on the unattended bots installed on the data center level.

For implementation, we used some outside consultants to set up the governance framework for RPAs and the discovery mechanism. They also helped us identify hotspots, determine ROI, establish the recovery cost in months, and do value realization.

So after going live, they helped us look at things like cost and time savings as well as the actual recovery costs incurred in the process. They also helped evaluate the solution in terms of automatability index, productivity, efficiency, and quality. So, we analyzed all of these factors, which helped to prioritize the processes selected. We did all of this first and then converted everything into a factory model. What we call the digital factory team is responsible for development. And then, the governance and architecture teams orchestrate the development by going out there and doing task mining and process mining. For maintenance, we have five or six people for 32 processes.

Level of expertise with SI which is LTI is excellent

We have an Novigo automation framework that helps us to calculate ROI from UiPath. It calculates ROI based on the time a human would take to perform the task manually versus the time needed for a bot to do it. Then the hours are converted into dollars. Finally, we can get the cost per transaction per hour per dollar spent per record. That helps you calculate an accurate ROI when identifying RPA case, and we can see the value realized every month. We calculate the amount of records and hours saved through automation and convert that into a dollar amount per process. That's how we have been able to do a very accurate value realization based on the number of transactions processed by the robot.

The license is around $40,000 yearly. Technically, that's the lease price. But UiPath told us to go through our distributor, and by doing so, we've saved at least 50 percent of the costs. So it's now around $24,000. That is pretty cheap compared to Blue Prism or any other vendor out there that offers a combination of the same features. 

You do need to purchase an additional license to get Insight licenses. We were the beta testers of UiPath's Insight application, which is purely on the analytics side. A lighter version of insights should be embedded into Orchestrator itself inside the standard offering of the UI without the extra license costs. So that way, we could track the number of processes, exceptions, success rate, and calculations in a single platform without buying any additional licenses. 

Automation Anywhere, Blue Prism, WinAutomation, and UiPath were four we considered. We used Novigo Automation Framework Reports to test and evaluate each solution to see which one best suits our requirements. That's how we chose UiPath over the rest. It included deep-dive reports from Gartner, Forrester, Nelson Hall, and many other third-party analysts. These reports featured a highly detailed heat map as well as information about the cost-effectiveness of the deployment model, the development roadmap, and the maturity of the product.  So that helped us to easily compare UiPath to the others.

I rate UiPath nine out of 10 because it's easy to develop, manage, and maintain. That's what sets it apart from Automation Anywhere, Blue Prism, or Power Automate. It's a simple drag-and-drop interface, which allows for low code automation development. And that makes it pretty much different from other options that we have. For example, developing basic automation can take few hours in UiPath versus a few days in Automation Anywhere. Implementation-wise, this is a pretty easy model when it comes to having a cloud orchestrator versus on-premise. Going on the cloud has reduced the burden of needing dedicated administrators to manage and maintain the platform. Minimal administration is required to manage and maintain Orchestrator in the cloud.

So that's the fastest way to onboard UiPath. But there is a lot of groundwork on the governance piece. So before even investing in UiPath or any other RPA platform, you need a solid governance framework and a foundation that will help you do the correct automation at the right time. Versus just doing anything using the tool. The tool is designed to do all types of automation but they need to be beneficial for the organization with good ROI and value realization.

I'm using UiPath Process Mining for research and development. I belong to an IT company with many market leaders as clients who belong to the manufacturing industry. I wanted to look into processes you can automate for each service area. I wanted to explore and see which area may be a pain, and I use UiPath Process Mining for that purpose.

The best feature of UiPath Process Mining, compared to a process discovery tool or mining tool I forgot the name of, is that UiPath Process Mining supplies more details about your current workflow and how it influences the business, including what's the delay or roadblock.

The other tool doesn't give you detailed information, so UiPath Process Mining has a significant advantage.

What needs improvement in UiPath Process Mining is manual delay support. For example, I have a pending workflow, and I've not taken action in the last five or ten days, and because of this, the whole process gets delayed, but UiPath Process Mining doesn't provide any manual delay insights. It gives about seventy to seventy-five percent detail on end-to-end process delays, the scope of automation, or the gap, but not about the manual delay, so what would make the solution better is if it communicates manual delay information.

Every business process relies on human activity, with either approval or review, so UiPath Process Mining should capture that area and provide a workflow or diagram that shows more details, such as the impact of the delay, the workflow time without the human delay, etc. That could be too difficult, but it's what I'm expecting as a customer. More automation in UiPath Process Mining would be great.

I've been using UiPath Process Mining since the preview period last year, August.

UiPath Process Mining has become more stable in its latest release, but in terms of ability or what it can do, there's still a lot of room for improvement.

I haven't tried scaling UiPath Process Mining, so I cannot comment on its scalability.

As there's good documentation in the UiPath academy, I didn't need to contact the technical support for UiPath Process Mining. The available documentation helped me a lot.

As UiPath Process Mining is a lightweight tool, its configuration is simple. It's an excellent tool to work with, specifically on the cloud provided by UiPath.

Complete deployment of UiPath Process Mining would take six to eight months.

You can get ROI from UiPath Process Mining because it offers good value for your money.

UiPath Process Mining has different licensing types for users, developers, end-users, or designers. I don't have the figures, price-wise, but because my company is a UiPath partner, there's some discount offered when you buy in bulk. UiPath provides a good deal if you're a bulk user.

UiPath Process Mining gives you value for money compared to some of its competitors in the market.

I'm using UiPath solutions end-to-end, so UiPath Process Mining, UiPath Task Mining, Automation Hub, and UiPath Studio.

I don't remember which version of UiPath Process Mining I'm currently using.

UiPath Process Mining is a hybrid architecture. The software is installed on my private cloud, and the data and analysis go on the public cloud. It's on the UiPath Cloud.

The number of users of UiPath Process Mining depends on the number of clients, so I don't have this figure.

My rating for UiPath Process Mining is a six out of ten because it still needs much improvement in scope. On the other hand, my rating for UiPath overall is eight because it's stable and a market leader. UiPath Process Mining is just a tiny part of UiPath.

The solution is primarily used in a few pilot projects. I don't have too much production experience just yet.

I like how they handle process work. It's amazing. It's very customizable, and you can visualize different items. 

It's very useful in turning raw data into actionable information.

I was surprised at how many possibilities the solution had in terms of removing bottlenecks from various processes. It can help you with a lot of things. 

The solution integrates well with other features. You can create simple RPA bots based on your process filing or task filing.

It's very comfortable to work with in terms of dealing with big data. You can easily visualize it by building charts, graphs, or tables. You can add fields for your data and feed into it. The product makes it easy to quickly modify, transform, and visualize your data. 

The solution can possibly help free up employee time. You can easily decide which processes can be simplified and create a bot to handle the work. It helps create automation opportunities. It can free employees from repetitive work. They can then do something more intellectual and valuable. 

Process planning to utilize for streamlining processes is difficult.

The solution has its own language to process the data, so it can be difficult for people to start using it quickly. It can be difficult to handle the first project until you understand the product a bit better. 

Data manipulation could be improved. It can be very hard to manipulate or work with data sometimes, especially at first, when you are not familiar with the solution. It can be hard to learn the solution. 

UiPath could provide more AI and machine learning tools to analyze processes. 

They could also improve the UI experience. For example, how graphs and charts look and how they can be placed in the dashboard. 

I've used the solution for almost a year. 

The product is pretty stable. I'd rate stability seven out of ten. 

The solution is scalable. I'd rate the scalability seven out of ten. I'd rate it higher, however, there are some limitations to scaling projects and uploading data. 

I've never used technical support services. 

I did not previously use a different tool.

I was a part of the initial implementation. The setup was straightforward.

Maintenance depends on the model of delivery. It can be done without involving developers, or it can be done with support.

I don't directly deal with pricing. 

I'm not sure of the overall transparency offered by process planning in our end-to-end processes and I don't have much experience with the solution. 

The time to value depends on the process and the people who work with it. If you can understand the process, and pick things up quickly, or have a good analyst to analyze the process, the time to value is quick.

Automation is cost-effective. When you compare numbers before and after, you'll be able to see the difference automation can make. 

I'd rate the solution seven out of ten.

I'd advise users to learn the solution. UiPath has a great Academy for studying the solution. It's important to do some online courses and learn the ropes. Start a project and try it out in real life. 

This solution can be used for all finance processes. It helps us identify inefficiencies and to see where automation can be useful in processing. I'm managing executive client coverage.

This solution has improved our efficiency.

All of the features are very helpful. This is clearly a mature project product. When it comes to process mining, it has a very strong suite with all the features in terms of being able to read data from various systems and have them analyzed according to certain parameters.

I'm not involved in finance but I know this is an expensive solution. It would be helpful if licensing costs were reduced. 

I've been using this solution for about two years. 

Once it's set up correctly, this is a stable solution. 

The solution is scalable. We currently have several users but are likely to increase that in the future. 

Customer support is very efficient, knowledgeable and helpful.

The initial setup is straightforward and took a couple of days. I worked with our SQL engineers and we were able to deploy in-house. 

We've seen a return in terms of efficiency. 

Licensing costs are expensive. 

It's important to follow the instructions very carefully in terms of the installation. If the solution isn't set up correctly, it won't be stable. 

I recommend this solution and rate it eight out of 10. 

UiPath Process Mining can be deployed on-premise or in the cloud. 

I am using UiPath Process Mining for receiving the financial ledger details from the system because of the end-to-end payment posting. UiPath Process Mining's posting on the account written solutions, we are only using the schedule for process mining.

The most valuable features of UiPath Process Mining are ease to use, the graphical user interface is good, and the level of detail it will bring on the board is beneficial. We will be able to visualize a wide variety of users, what are the bottlenecks, and where it's taking a long time to process.

The installation documentation and guides for users from UiPath Process Mining could be a little better.

I have been using UiPath Process Mining for approximately four years.

UiPath Process Mining is stable.

The scalability of UiPath Process Mining is good.

We have approximately 1,500 people in my company and many have access to this solution to use it.

We have five to six portfolios are using this solution.

UiPath Process Mining's support is very good.

UiPath Process Mining requires customization but with a little guidance with the documentation, we can use it.

We have 20 to 30 people that are managing this solution in our portfolios.

The licensing cost depends on the enterprise, and the discounts and offers available at the time. The price of the solution is reasonable.

I would advise others to look through the catalog of solutions available. They should try UiPath Process Mining out and see what they think of it evaluating the pros and cons. From this information, they can make their decision if it is the best fit for their use case.

I rate UiPath Process Mining an eight out of ten.

UiPath Process Mining is really compact, like desktops and desktop automation. It is easy to make and easy to use. 

UiPath Process Mining needs system development and capabilities for designers. UiPath Process Mining is not easy for everyday users. UiPath Process Mining requires system development skills which means you still need special development training for all the developers. This will make it easier to use out of the box.

I have been using UiPath Process Mining for about a year now.

UiPath Process Mining stability depends on the design. For example, handling and expecting user behavior that is robust. Robust systems we can develop, but in some cases, there can be unexpected behavior or time out because of the size of files. Overall there are no problems with stability for me.

You need to start from a small, interesting group, then scale up involving the top management individuals to help them understand. I think starting small is better for the RPA.

I think the desktop version limited can be scalable in the future, maybe going to the cloud would make it easy. it's more reasonable instead of the hundred, two hundred desktop version RP. Maybe change in the next upgrade to the cloud-native version of the RP.

In most cases, we use our internal developer experience.

UiPath Process Mining starting from the PD comprehensive case is complicated. There is not so much benefit for the RPA solutions. UiPath Process Mining should be simple and straightforward. 

From the task reduction point of view, I think a lot like maybe 0.3 year or less, we can get the returns, but actually, task reduction and reduction are different. We see cost savings from task reduction. The PL actual headcount reduction is a different issue.

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