UiPath Process Mining Reviews

We used process mining for identifying and automating an invoicing process in the banking domain. Process mining helped in understanding data complexity and security, determining if human validation was required before dispatching credits or debits in SAP, and creating a comprehensive blueprint of the process.

Process mining provided a comprehensive blueprint of the whole process, which helped us understand security perspectives because we didn't need to maintain logs. We were able to handle data securely and the end-to-end flow became more transparent. It also helped us analyze if a human presence was needed in the loop for high-complexity tasks.

Process mining provided us with a detailed view of the workflow through the process graph, showing real-time steps and a potential automation dashboard. These elements allowed us to effectively understand and improve client interactions and manage complex data, especially in the context of banking operations. The dashboard gave real-time insights and historical data for financial processes.

Process mining could improve in optimization of resources. It should focus on identifying opportunities for automation and resource allocation efficiently. Better options for managing digital footprints, especially for high-security data that can't be shared, would also be beneficial.

I have been working with process mining for about four to five years.

I would rate the stability of process mining at seven or eight out of ten. There are still opportunities for improvement.

Scalability receives a rating of five. There's significant room for enhancing process integration, data accuracy, and the general applicability of process mining.

The tech support from UiPath is good, however, they prioritize support based on the number of licenses purchased by an organization.

Positive

The initial setup for process mining is complex and not straightforward for all clients due to the need for specific licenses and the deployment complexities.

The pricing is high, falling around two or three on a scale where one is high and ten is low. UiPath has recently increased licensing costs, reducing the number of available license types, impacting organizations.

I have heard of Blue Prism and Automation Anywhere launching something similar, but I haven't had a chance to explore these solutions.

Overall, I would rate the solution at seven. While process mining is beneficial for complex processes, it might not be necessary for simpler ones unless there are conditions that warrant its use. For an organization with numerous complex projects, process mining can be a valuable tool.

I use the solution primarily for the BFSI domain, and the processes I implement are used for the banking and finance industries.

The valuable features include analytics and dashboards. I am a solution provider, and I am associated with a solution provider company. Whenever I deliver this product to the client, I receive reviews from the end user. If the end user is happy, it means I am happy.

Maybe adding some competitor analysis would be beneficial, especially if I am using multiple tools. I do not have many statistics there. Let's consider I am using two tools in one organization due to the criticality of the process. At that time, I am mining, and definitely, the cost is a mining factor.

I have used the solution for the last two years.

I have connected with a few SMEs. Even the SMEs are not knowledgeable enough to understand their products thoroughly. When I speak with the product managers, they have a good understanding and can explain each aspect. However, from a technical support standpoint, the SMEs are not confident enough in deciding what should be done. I would rate the customer service six out of ten.

Neutral

I have used Celonis as well.

I would say the initial setup is simple.

I rate the setup cost as four to five. It is a high price for a low rating.

Celonis is one of them. SAP is also introduced in collaboration with IBM. That is the second one. Even Microsoft has also started recently. I would say they are just baby-born products. It will take time to reach the level of UiPath. Celonis, SAP, and ABBYY are the alternatives, with ABBYY being the third one.

If a company is cost-sensitive, then definitely not. If a company is not cost-sensitive and really wants to adopt these types of technologies, then yes, definitely. If the company name is not involved and my name is not involved, I am looking for it. I rate the product eight out of ten.

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.

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.

We use this solution to get deeper insights into the process and to see if there are any opportunities on how we can improve the processes. In most of the cases,  Process Mining would actually throw out analysis or insights which are already known to the users, but in some cases it would be more granular and backed with data. 

Those database-backed insights are very valuable for the business partners or the operations teams. It allows them to make decisions about how they can improve their process, like whether there's any process changes or technology changes required. Do they need to change the workflow systems or the technology assets which they currently use? Is there a better way they can perform the work or is there any scope of automation? Are there any compliance issues which wouldn't have been visible to a human eye just by viewing the process or the reporting?

For process mining, we understand some of the hypotheses they have, like what is that they want to understand? Are they looking to gain insights around how their teams are performing? I think you gain value about how the process is overall behaving. Is there any kind of rework or are they looking at automating or redesigning their own process?

This is a hybrid solution.

One of the reasons we have gone with UiPath is because it was a business decision and because our company subscribes to the UiPath automation suite, which includes RPA, etc. We thought it would be efficient to keep everything on the same platform. 

The cost was the other part of it because we compared it to Celonis. We are using UiPath mostly for strategic reasons. It was easy for us to get onboarded with Process Mining rather than setting up a whole new infrastructure for a different tool.

We faced issues with the data sharding process. UiPath has its own limitations in terms of the number of rules of data it can actually handle at a given point of time. As a tactical step, they provided the data sharding approach, but that was not the best. It kind of complicated the analysis rather than making it easy for people to analyze large data sets. So, the handling of large data sets is a major problem we want them to improve.

I think they can improve their overall feature set around the visualizations, which they can provide out-of-the-box. Some of these visualizations are not already there. 

Finally, it is about the ETL process. I think the ETL process could have been much simpler compared to what we do right now, which consumes a lot of time. If I talk about a typical project life cycle, I would spend about 30% of the time getting the data into the system, which is obviously not ideal compared to some of the other tools we have in the market.

Their ability to create out-of-box integrations and solve for the ETL problems could be an improvement, and their ability to help us scale and do parallel processing when handling large data sets. They could also improve their overall look and feel on how the analytics will show up on the tool. They just do the job, but when I'm showing an analysis to a very senior leader, I would obviously want that to look better than how it does now. I'm not sure what the product roadmap looks like right now, but I'm sure they would have something on the product roadmap. If these are not already a part of the product roadmap to improve the product, then I think they would be missing the bus.

I have been using this solution for seven and a half years.

It's stable. We haven't seen any issues.

We haven't seen any issues with scalability. The problem is with the handling of large data sets. If you're using smaller data sets, then I think it's good enough to manage parallel activities. But if I am working on a project with a large data set, that's where we would run into problems where the other projects would have to be stored or they cannot be run parallel. It's scalable, but they would need to solve for handling their data sets internally to allow parallel processing.

From a traditional process mining, they allow for everything a process mining or platform would need to give. But if we're talking about using this for other purposes like execution management, getting more automated data feeds, etc., I think that's where it would probably have a problem. When we're dealing with process mining, especially in a banking organization where we are dealing with millions of rows of data at a time, I think that's where we would probably want them to be able to scale or allow us to scale much faster on that.

I would rate the scalability 3 out of 5.

We have a full subscription for technical support. We have on-demand support at all times.

It's reasonable. It provides you with all the basic features that somebody would expect. If those basic features are what you're looking for, I think UiPath is reasonably priced compared to some of the other tools.

We compared the solution to Celonis. Celonis provides you with more out-of-the-box functionalities and drag-and-drop features which are user-friendly, and it has a very powerful execution management system, but that is something we weren't looking at because we wanted to familiarize the audience with what Process Mining can do before we moved to execution.

I would rate this solution 5 out of 10.

It's good for doing traditional analysis, but if we have to do more, I think that's where they would lag behind their competitors.

I am a project manager and have been working on projects for UiPath with some of their clients. I was using the most recent version with our internal developers. The project was managed using Azure DevOps.

The teams I worked with would average between four and seven team members. It requires a couple of developers, a BA, a project manager and a scrum master.

UiPath is used for a variety of purposes such as, invoicing, automating, scanning documents, data collection, and data driven type of applications. There are more than one use case depending on what the client was trying to accomplish through automation. They were automating repetitive steps. We had commercial uses, government uses, financial services and investing uses. 

The features of UiPath that I find most valuable was working with Abbyy scanning. We created some unique ways to work around any document that couldn't be scanned. It was very flexible. Whatever bug that was produced during use test cases, user acceptance testing, was very flexible. We did not find anything that could not be fixed. There was always a workaround or a way to create another process that could be automated.

Flexibility and the adaptability are very good with UiPath.

UiPath is always upgrading and fixing their product.

For me, the only improvement needed is how to manage the actual project. This does not have anything to do with the solution itself, it's about managing customer's expectations.

UiPath could improve on how it works with the project management process and flow. 

I would like to see UiPath add an RPA that handles project management. I would  like to see the solution do as much as possible. There are so many turning wheels on a project that is complex.

My company has been working with UiPath for about a year.

The solution itself is stable. The challenging part is the developers themselves. It's still a new industry. People are still learning and sometimes people miss things.

There are no problems with the solution scaling.

UiPath's technical support is very responsive. The customer service desk is really good. I was impressed with how fast and capable they were.

The initial setup depends on the project. The deployment goes from simple to complex. I have taken a few courses, so the setup is very easy.

We require a couple of people for deployment  and maintenance of the solution.

The product is affordable. It depends on if you are looking for some capabilities from time to time. 

My advice to anyone looking to implement UiPath in their organization would be to really take a look at what processes do the organization have that are highly repetitive and manual and  provide value. 

This application is best for high value projects or high value initiatives. Automating something that doesn't matter is not worth it. Take a really hard look at the ROI of what you want to automate and see if it  makes sense, and focus on  the ones that generate the most ROI and value. 

UiPath will handle the rest and do a very good job.

I would rate UiPath a 10 out of 10. Where the industry is at right  now, there is plenty of growth. Everyone is trying to better, but where we are at right now, UiPath is at the top. Having seen UiPath work on projects, the flexibility that it allows developers to fix bugs among other things, makes it a 10.

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.

We did some POCs and we did some implementations.

We used the solution for incident management with ServiceNow.

We were able to find a lot of bottlenecks and have been able to automate a few tasks with UiPath. We are looking for inefficiencies suitable for automation.

For example, we have some supply chain use cases and can automate some procurement tasks.

It's been a game changer for our organization. Having to remove manual processes has optimized areas. Slowly and gradually, there have been very marked improvements in processes overall.

The conformance capability is very good. We can find which processes are compliant or non-compliant.

We like the root cause analysis and we can use it to take a deep dive into the tasks.

The process explorer is quite useful in differentiation and looking at multiple variants. We can drill down with good granularity.

Benchmarking is very good. If I have processes for accounts receivable, I can set the benchmarks and look at the accounts and look at projections based on currency, country, et cetera.

It's great for streamlining processes. You must have an understanding of the domain, for example, if it is in the financial realm. If you do, it is easy. The solution can help you set up processes. You just need to come in with the right insights.

The end-to-end visibility of the process mining dashboard is quite good. There are not many areas that are not visible. We can see everything, and we can customize our KPIs as needed, which helps. It helps us build on a more granular level. If we have a good domain that has a nice process with frequent execution and lots of data created, we can visualize everything and find hidden issues to further refine our processes.

We can turn raw into actionable data. We only need the activity to start our work and analysis. It's very plug-and-play as well. Everything has its own connector. We can connect our tool to SAP or Oracle, et cetera. Data is not obstructed. It can be consumed by the tool or the application itself.

We're able to remove bottlenecks from all kinds of processes. If I have a high level of activity, I can easily automate it. I can send notifications or reminders so that bottlenecks fall away.

Its overall transparency has been great for our end-to-end processes. We can easily visualize everything both for the technical team and business users. We can customize dashboards, for example, for business users. Everyone can see their area easily and understand what is going on at all times.

The solution integrates well with other systems and applications. However, it does depend on the data and where I am grabbing the data. It integrates well with ServiceNow using an API. We can also transform the data.

It empowers employee decision-making. It helps them locate bottlenecks and remediate items. The automation can be done by the business user. They don't need a technical person to come in and make a fix. Everyone is working on streamlining the process.

It's helped free up staff time for other projects. Initially, it's been 15% to 20%. Over time, we're hoping it will be 40%.

It has reduced our total cost of ownership. I'm not sure of the exact number around that, however.

Using the solution with the finance and logistics domains. These are areas that could have a very good impact.

We still need to explore how to integrate the solution into various domains. It looks promising across the board. 

The initial setup can be complex. 

I've used the solution for a year and a half. 

The solution has been stable so far. 

We have the solution deployed across multiple locations and have 1200 end users. 

We can scale the solution at any point in time. 

We have used technical support on the data side. If we, for example, have a job that doesn't run in time, we'd reach out as required. We help our clients troubleshoot as needed as well. 

Positive

I used Celonis for process mining based on the complexity or behavior of the use case. 

We've also previously used Excel as a way to manage processes. 

I was involved in the deployment. It is a bit complex. 

The number of people required for the deployment varies, depending on the size. Typically, we need five to six people. 

The solution requires maintenance. We have two people that are maintaining it. 

We provide implementation services to customers. We also work as consultants. 

We have definitely seen an ROI. There are multiple partners working in process mining. The competition is very high and it's helped a lot.

It took us about six months to achieve time to value.  

The pricing is decent. 

We did not look at other options before choosing this solution. 

Streamlining processes with automation is cost-effective. However, it is not for those looking to achieve a short-term goal. This is a long-term play. If you invest some time with the tool, you'll receive a very good ROI. There's so much data, it takes a while to really see the value. 

I'd rate the solution seven out of ten. 

I'd advise new users to understand the process first. Do a lot of brainstorming and understand each and every aspect of the business. It will help with building out. I'd also advise doing a POC first to see if you are going down the right path or not.