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Say Hello to Disco! 6

Disco - Process Mining has just grown up. A lot.

We are proud and excited to announce the immediate release of Disco, our new process mining software. Disco is a complete process mining toolkit that makes process mining fast, easy, and simply fun — and we have put a lot of effort and years of work into making sure that it will actually measure up to this claim.

You can download a demo version of Disco here.

Why Disco

Fluxicon team

As former process mining researchers, we started Fluxicon in 2009 to build professional tools that help organizations to regain control over their processes.

Our first product Nitro addressed the pain of getting the original process data from IT systems into a format that can be used for process mining. Today, Nitro is used all over the world by practitioners and researchers to convert raw data into event logs that can be analyzed with the leading academic process mining toolkit ProM.

While ProM is great and immensely powerful, we realized through our own process mining consulting projects, and through countless conversations with you, that process analysts in practice need a tool that—above all—makes process mining easy and fast. And this is what Disco is all about!

About Disco

With Disco, we packed the most powerful process mining technology into a software that is efficient and fun to work with. There is no need to decide which mining algorithm you should use, and you don’t need to learn a new process modeling language. Furthermore, Disco supports you in your day-to-day analysis workflow, is super fast, and designed to let you feel at home while you are at work.

Over the past months, we have worked with a group of fantastic Beta testers to make sure Disco is up for the job. They have discovered the bugs so that you don’t have to, and we can’t thank them enough for their active participation and extensive feedback. Along the process, they have said incredible things about Disco, and—with their permission—we would like to share a few of their impressions here with you:

As a user you don’t have to worry about technical choices and parameter settings because Disco does it all for you. This makes it possible to improve your productivity and to focus on what is really important: the analysis of your processes!

Bram Vanschoenwinkel, Business Architect at AE, Belgium

It was really exciting working with my data with Disco! The frequency and performance visualizations are true gifts! Also, the ability to save different filter results makes life much easier.. The visualization is a real pleasure. Also, your choice of colors, the interface design, it creates a great working space! The tool will definitely enable mere mortals (like me) to achieve results, without going through the frustration with other tools.

Dafna Levy, Process Mining & BPM at Nool, Israel

Wow – this is very cool! I just analyzed the db transaction log data I extracted from an hour of one business day (172,000 records). I’m very excited to show this to my client.

Steve Kilner, CEO at vLegaci, United States

Are you as excited about Disco as we are? Then we invite you to download the demo version of Disco right now to give it a go!

If you prefer to get an overview first, we have prepared a little tour for you below.

We can’t wait to hear what you think about Disco. Let us know in the comments!


Disco Tour

So, let us give you a tour through Disco!


Every process mining project starts with the data that you want to analyze. Disco has been designed to make the data import really easy for you by automatically detecting timestamps, remembering your configuration settings, and by loading your data sets with unprecedented speed.

You simply open a CSV or Excel file and configure which columns hold your case ID, timestamps, your activity names, which other attributes you want to include in the analysis, and you are good to go.1 Data sets are imported in a read-only mode, so the original files cannot be modified.

Graphical import in Disco

Disco is also fully compatible with the academic toolsets ProM 5 and ProM 6. By importing and exporting the event log standard formats MXML and XES, advanced users can seamlessly move back and forth between Disco and ProM if they want to benefit from the cutting edge research technologies developed in academia.

Disco also features a short-cut import and data exchange for previously imported data sets with up to 200x speed-up for very large data sets through the native FXL Disco log file format.

Automated Process Discovery

The core functionality of process mining is the automated discovery of process maps by interpreting the sequences of activities in your imported log file. After you press the Start import button you are taken right into the Map view, where you can quickly and objectively see how your process has been actually performed.

Disco uses an intuitively understandable and 100% truthful process map visualization. The thickness of paths and coloring of activities show the main paths of the process flows, and wasteful rework loops like in the purchasing example process below are quickly discovered.

Disco automatically creates process maps from your data

The Disco miner is based on Christian’s Fuzzy miner, but has been further developed in many ways.

The Fuzzy Miner was the first mining algorithm to introduce the “map metaphor” to process mining, including advanced features like seamless process simplification and highlighting of frequent activities and paths. For Disco, we have used the scientifically proven approach of the Fuzzy Miner and combined it with extensive experience from our own practice and user testing.

The result is a mining algorithm that, while providing reliable and trustworthy results for data sets of arbitrary complexity, can be operated and understood efficiently by domain experts with no prior experience in process mining. Although the Disco miner is based on the proven framework of the Fuzzy Miner, we have developed a completely new set of process metrics and modeling strategies, effectively making the Disco miner a next-generation Fuzzy Miner.

Our design priorities are what sets the Disco miner apart from other solutions:

  1. Usability: Our goal was to have a miner that can be operated and understood by domain experts, with an adequate learning curve to also accommodate process mining experts (This is where most academic mining algorithms, understandably, fall painfully short). We also have put great effort into making our visualizations information-dense, while avoiding information overload. For Disco, we have used state-of-the-art UX and visualization research, user testing, and lots of development time to make sure our models are nice to read and quick to understand.
  2. Fidelity: Creating a truthful model from a simple, well-structured process model is easy. When faced with complex data, though, most commercial approaches resort to drastically limiting the data used (only using the mainstream variants) to keep model complexity in check. We wanted a miner that can intelligently extract the most important parts of the process from the full set of data, and create a useful process model from data of arbitrary complexity.
  3. Performance: Almost all process mining tools want to be used in a procedural fashion: You give them the data, and some parameters, they create a process model, done. We see process mining as an explorative and highly interactive task, where the domain expert learns to understand the data by looking at the process from multiple perspectives in quick succession. For this approach to work, we need our miner to work very fast.

The Disco miner is considerably faster than any other approaches we are aware of, while delivering superior model quality. We think there is inherent value in having a good approximation of complex behavior in a few seconds, versus a perfect model in three hours (which is what you get with, e.g., genetic approaches). By intensively optimizing the whole stack, down from the log storage layer up to the graph visualization, we have created a miner that fosters truly interactive usage which, ultimately, leads to better and more meaningful analysis results.

Process Statistics

Next to the process maps you can also inspect statistics about your process. For this, you simply change to the Statistics tab in the toolbar. You will get overview information about the number of cases and events in your data set, the time frame covered, and performance charts like the case duration chart shown below.

In the case duration chart below, you can see that while most cases in the purchasing process are relatively short, some of them take 77 days. It almost seems like there are two different processes, one taking up to 15 days, and another one taking 70 days and longer. From an process analysis perspective we would like to find out what is going on.

View statistics for your overall process, activities and every attribute you imported

On the left, further statistics views give you frequency and performance information for all activities and resources in the process. Furthermore, you will see statistics for any additional data attribute column that you included in your data set. These additional data attributes are usually very important for your process analysis, because they hold relevant context information such as:

In our projects, we often get data sets with up to 40 or 60 additional data attributes that are relevant and can be used in the analysis. Disco shows you these attribute statistics, but also lets you use them to drill down and focus your analysis, and to split out and compare processes with respect to these categories.

Variants and Individual Cases

The third data set view is the Cases tab. While the Map view gives you an understanding about the process flows, and the Statistics view provides you with detailed performance metrics about your process, the Cases view actually goes down to the individual case level and shows you the raw data.

To be able to inspect individual cases is important, because you will need to verify your findings and see concrete examples particularly for “strange” behavior that you will most likely discover in your process analysis. Almost always you will find things that are hard to believe until you have drilled down to an individual example case, noted down the case number, and verified that this is indeed what happened in the operational system.

Furthermore, looking at individual cases with their history and all their attributes can give you additional context (like a comment field) that sometimes explains why something happened. Finally, being able to drill down to individual cases is important to be able to act on your analysis. For example, if you have found deviations from the described process, or violations of an important business rule, you may want to get a list of these cases and talk to the people involved in them to provide additional training.

See what the top process variants are and inspect individual cases

In addition to a complete list of all cases in the data set, you also get direct access to the variants in your process. Variants are an integral part of the process analysis. In Disco, a variant is a specific sequence of activities. You can see it as one path from the beginning to the very end of the process. In the process map, an overview of the process flow between activities is shown for all cases together. A variant is then one “run” through this process from the start to the stop symbol, where also loops are unfolded.

Usually, a large portion of cases in your data set is following just a few variants. For example, in the purchasing process shown above the top five most frequent variants cover the process flows of ca. 50% of all cases, although there are 98 different variants in total.

Furthermore, a live full text search across case names and all activity, resource, and data columns lets you find specific cases based on the words or word fragments you are looking for.


Disco provides you with powerful, non-destructive filtering capabilities for explorative drill-down, and for focusing your analysis. These filters are quickly accessible from any view and easy to configure.

For example, the Performance filter shown below lets you filter cases based on their throughput time. By moving the lower bound slider control, you can focus on just those cases that took longer than 70 days. The pie chart indicator tells you that the current selection covers ca. 15% of the cases in the data set. When you apply the filter, then all analysis views (Map, Statistics, and Cases) will just show you these 15% you are currently interested in.

Powerful and visual filtering possibilities to drill down and focus your analysis

In total, there are six powerful filter types available in Disco, and they can be combined and stacked in any order:

Together with the three analysis views, these filtering capabilities enable you to quickly and interactively explore your process into multiple directions, and to answer concrete questions about your process. Because filtering, and Disco in general, are so fast, you can also hold interactive process workshops, where you and a group of other process stakeholders get together to do an As-Is analysis and generate process improvement ideas along the way.

Performance Highlighting

In addition to the frequency-based process map, you can also analyze the time that is spent in the process. The average durations of the activities and the inactive (waiting) times between activities are automatically extracted from the timestamps in the data set and visually projected onto the process map.

Performance highlighting in process map shows you where most of the time is lost in the process

For example, for the subset of cases that take longer than 70 days from above you can see in the process map from the performance highlighting where most of the time is lost. Particularly the frequent rework loop from activity Amend Request for Quotation Requester to Analyze Request for Quotation takes on average 15 days (and is often performed multiple times).

An alternative Total durations performance highlighting option shows you these high-impact areas at one glance by summing up the durations for each activity and path for the complete data set.


Animation is a way to visualize the process flow over time right in the discovered process map (a bit like showing a “movie” of your process). Animation should not be confused with simulation. Rather than simulating, the real events from the log are replayed in the discovered process map as they took place.

Animation can be very useful to communicate analysis results to process managers or other people who are no process analysis experts. By showing how the cases in the data set move through the process (at their relative, actual speed), the process is literally “brought to life”.

Animation brings your process to life by replaying the cases from your log in the process map

The picture above visualizes the bottleneck that was discovered in the purchasing process, where we analyzed the performance metrics in the process map for cases that take longer than 70 days: Every yellow dot is one case that is currently moving through the process, and by looking at where they pile up the bottleneck becomes very tangible.

Project Management

One of the advantages of Disco is that it supports your project work through the management of multiple data sets in one project view. In a typical process mining project, you will import your log files in different ways, filter them, and make copies to save intermediate results. This results in many different versions and views of your data sets and can easily get out of hand.

The project view in Disco is there to help you keep an overview. It keeps all your work in one place and lets you make notes about what you found out, or what you still want to check. Complete projects can be exported and shared with other people who can start right where you left off.

Integrated project management with all your data sets and analysis bookmarks in one place

For example, the picture above shows the sandbox project that we prepared for you to get you started after the installation of Disco.

Get Started Now!

So, why don’t you just head over to the Disco page and start playing with the demo version right now. We think you will love it!

  1. If you know Nitro, the data import in Disco works in exactly the same way.  

Comments (6)

Hi Anne.
It looks great!

I have a question; according to this post, Disco is based on Fuzzy Miner (with many improvements). But is always a fuzzy model the best way to discover a process model ? what happend in those cases where could be better to use other algoritm ( heuristic, Multi-phase miner, .. )

I read in a previous post, that you cannot convert from Fuzzy model to other types of process modeling languages. It can be a disadvantage ?

Best Regards.

[…] try the Fuzzy miner, dressed up in a more user friendly package. More info here Like this:LikeBe the first to like […]

Hi Jonathan, thanks for your kind words!

The process discovery algorithm in Disco is indeed based on the Fuzzy Miner, which I had developed about five years back during my PhD at Eindhoven University of Technology.

The reason why we chose to build upon this algorithm, however, is not personal, but based on our experience in a large number of practical consulting projects in the last three years. In many situations, the Fuzzy Miner is in fact the only mining algorithm which can still make sense out of large and complex data sets, is fast enough to work with interactively, and best enables domain experts to extract useful information from their data.

We wanted Disco to be a fast and easy-to-use tool that “just works”. With Disco, you don’t have to think about which algorithm to pick, and you can focus on the actual problem at hand instead of learning scientific theory about process mining approaches.

In our experience, the theoretical benefits of other mining algorithms are only exposed and usable in very few, specific situations, which we have found very rarely in practical situations so far. If you want to use other mining algorithms, though, Disco is the only professional process mining software which contains a seamless bidirectional interface to the leading academic toolkit ProM (via both the IEEE Standard XES and the legacy MXML log standard). You can easily and quickly export your data for ProM, and complement your analysis with ProM’s rich set of additional plugins.

Also, I should make it clear that the mining algorithm we implemented from Disco is not the Fuzzy Miner per se, but a radically redesigned and rethought approach which uses ideas that were pioneered in the Fuzzy Miner. We have addressed a number of shortcomings, significantly improved the quality of models, and it’s even orders of magnitudes faster than the original Fuzzy Miner in ProM (which is, by the way, still the second-fastest mining algorithm we are aware of, right on the heels of Disco).

Regarding your last point, we have found very little demand for converting models to another modeling language in practice. Typically, practitioners prefer to use process mining to get insight and analyze and diagnose their processes. If they want to derive a model in another language from that, they typically prefer to model this from scratch, manually in the tool of their choice. If there is significant demand for such a feature, though, we will implement a respective export in Disco. There is certainly no scientific or technical reason why this should not be possible. So far, it has just not been a priority for our users.

I hope this answers your questions. Thanks again for your feedback, and we hope you enjoy using Disco!

— Christian

Thank you Christian, the answer was so clear.

Now I’m using the demo version and it works very good !

Greetings from Colombia.

dear mr/mrs
in prom software there is a menu called Analysis that one can detect flexibility, and other key factors of a method. i could not find it for fuzzy method. how can i do it in Disco?

Hi nyg, The Disco miner is based on the Fuzzy miner but has been further developed. In Disco, you will automatically get your process map displayed as soon as you import your data.

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