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October 16, 2021

Process Mining Live - SPEAKER SPOTLIGHT: All that Glitters is not Gold – Why Broadening Your Approach to Process Mining is the Key to Long Term Success.

Courtesy of Mark McGregor's & StereoLOGIC' Sofia Passova below is a transcript of his speaking session on 'All that Glitters is not Gold – Why Broadening Your Approach to Process Mining is the Key to Long Term Success' to Build a Thriving Enterprise that took place at the Process Mining Live Virtual Conference.

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Session Information:

All that Glitters is not Gold – Why Broadening Your Approach to Process Mining is the Key to Long Term Success

Navigating your way through Process Mining sometimes feels like wading through quicksand! So many different messages, about seemingly similar tools, but how do you put together the required toolkit? Can you get all that you need from any single vendor? And if not what other technologies out there might be worthy of consideration?

During this session Mark McGregor will remind us how Process Mining fits into our broader transformation picture, and then guide us in thinking about complementary technologies to enhance and supplement our process mining efforts. Technologies for Data Prep and Visualization, along with Business Intelligence will be considered, and during the session he will also be talking live with Sofia Passova of StereoLogic about alternative approaches and challenges with mainstream thinking.

Session Transcript:

I'm talking about Mark McGregor, Mark will be familiar to regular attendees at our events. He has shared with us on Enterprise architecture, on process management, on customer excellence, and should they, he turns his attention to process mining with more than 25 years of experience across vendor's, analyst firms and end user organizations. Mark always has interesting insights to share. That are often the driver of the lively discussions that we carry on here. So, Mark, what a pleasure to have you on behalf of our global audience, we're super excited to have you and listen your perspectives on the journey of digital transformation and process mining, specifically.

Thanks, Jose, and welcome, everyone.

It's great to be here again.

What is, once again, a really exciting time for process modeling.

So some of you that might have been with us back in the spring, we were talking about the changes in the space, and things going on. And even since that, short time, we will altogether, we've seen another two acquisitions you know, some of you will have seen this stuff with regards to my video, being acquired by IBM. And you may or may not have seen the latest news.

Literally in the last few days that Appian has now acquired Alana Labs. So we're seeing a lot of interest in this process mining space.

So, today, I wanted to focus on something a little different. So, this is a little bit of an experiment with you guys, and we really would appreciate your feedback.

Because I want to talk to you about other ways of extending, or expanding your process mining toolkit.

Um, because, as I said in the title, we are all that glitters is not gold.

And in a little while, through this presentation, I'm going to, we're bringing on a very special guest, who I will introduce, in a few minutes time, to share with us, and have a bit of a discussion with her, about some of their insights. So jumping straight into so all that glitters is not gold. What do I mean by this?

Well, let's literally stay with the analogy of gold mining.

You know, we all have this vision of these big machines or big mines. basically digging out money, right? I mean, you know, there are vendors out there in the process mining space telling us, they're going to take out millions of dollars for us and we love this idea.

Yeah, because just like these minus, we can see.

The trouble is, that's not how it actually works, is it, and although we talk about process mining, is digging for that goal within our process of finding those nuggets.

The reality of it is when we think about gold mining ore mining for any minerals, oil, gas, cooling what you will, there's actually another patient the jigsaw, right?

Before we go bringing in all those machinery, and doing all of those great drill rigs, someone is going out there, doing geological surveys, looking for potentially suitable land, where they sit.

There may be gold, oil, whatever, and then they spend a lot of time on exploration.

Durling attached balls, many of which come to absolutely nothing.

So while we focus on the concept of mining is throwing up millions or billions of dollars, we sometimes forget that the real risk and the real, heavy investment costs actually was exploration.

So before we can get to mining, we've got to get to exploration.

This piece that gets for me, a little gray. I'm a little muddy in the concept of process mining.

Because the impression is, we just point out process mining tools.

Our systems and our data up comes in science, and we might massive changes, and we find hidden money lying around everywhere.

Well, if we haven't done the exploration, we can't do the mining.

And this is a bit that is not particularly well served by traditional mining tools.

In fact, in some ways, I think the traditional process mining as is multitude and as a soul is a little bit like panning for gold.

Mark McGregor & Sofia PassovaActually, what you come up with some time she's actually pyrites, so these guys are celebrating the fact that it wasn't gold. They found that pie, right?

So, actually, it was just as glittery, but it wasn't real.

Because it wasn't necessarily digging in the right place, they would de industry, and hoping to find some.

So, whilst I'm a real fan of the value of what we get from process modeling, I thought it would be really useful to take a little step back and think about, well, how does it really fit in?

Now, you may have, some of you may have seen, I don't think I used it in the spring.

I think I used it for last year's conference, where I looked, or more holistic Process Management Toolkit, where we looked at the mapping, the modeling, the simulation, the mining, the monitoring, et cetera. And we realize that, yeah, we were largely driven, a lot of the mapping exercises. A lot of management was evolving the people piece of the jigsaw.

So for people with people, by people, and the mining was very much related to the operational systems and data.

So just as a reminder, that's where it fits in that overall toolkit. And, sometimes, we can get so focused on any one element, it doesn't matter whether we're focused on modeling and documentation for documentation site, or mining for mining site.

But, we need to look at things a little more broadly.

So, some of the challenges that I've seen heard, you may say it differently. Some of the vendors may say it differently, but three challenges.

Then, I see with what I'm going to call, traditional process mining tools.

We talked about the exploration while the Exploration.

It's Phase one is all about cleansing and full matching the data.

And it's a frequent obstacle.

I want to do mining, but I can't plug the mining chilling because my data is not clean. It's not complete.

How can you help me?

Many of the tools are not proven to be ideally suited to data exploration.

There are ways around it, and they can do some things, but they're not what I'm going to call the right tool for the job, or they don't have the full set of functionality.

The second challenge, I've talked about this at length before, is the process mining, misses the human elements of process. You know?

We gotta remember, we're mining system loads when mining already automated processes, in some way, shape, or form now.

Whether they were originally built, is process applications, Or whether they're simply transactional applications, and we're building a transaction change, it's all about things inside the system.

Btog CTASo when we look at things like low code, no code, RPA, et cetera, then process mining is a, a hot topic, but a very gray fit.

In as much as, we're talking about processes that may not be fully automated, already automated at all.

Approaches, mining, can't help us there.

We need something else.

And then, the third challenge is to remember that processes don't exist in a vacuum.

If you look at a lot of the pricing models for many of the vendors, you'll see that they typically charge per process.

Well, that's great, and the analysis is all around the singular process, But, your organizations aren't made up of a singular process.

What you could draw it as one complete end to end process, but you'll be highly complex.

In reality, there are many processes which interact in many different ways.

There are processes that are occurring that you didn't even know were happening as a result of, actually being compound through activities across multiple different processes, that when chain together, in the eyes of the customer, is how they see the process.

Then, of course, when we're running things like simulation, it's hard to simulate how to improve a singular process when the resource may should be shared amongst other processes.

So, we need alternative ways of looking. How do we look at the overall process landscape? How do we visualize that?

And how do we run simulation, and indeed, operation monitoring, where we can look across all processes, just using a process mining to then drill into, or get insight in to particular pieces, but taken into account of others.

So these are the three challenges.

So I thought they might be useful in trying to address today.

So when we look at it in terms of the, the overall diagram.

So apologies for that.

Bright red boxes.

So in the first instance, I want to look that connection between the mining and the operational data. So we look at the data cleansing.

Then I want to bringing Sofia and we'll have a chat around alternative ways of looking at mining.

But involving more of those human elements and bringing those into the mix.

Then lastly, an alternative way of looking at the visualization, and the ways that I'm going to do this as we go through this, through the lens of different vendors. So, I'm going to be making some suggestions of tools and technologies, some, maybe small vendors.

Some may be innovative in their approaches, and others may be just things that you haven't necessarily either heard of or thought of.

So, we wanted to introduce you to three different vendors that you might not have considered.

But maybe do want you to consider in trying to overcome some of those challenges, and bring them into that process management toolkit, so that you can better solve a full range of problems.

So, starting off, let's take a little look at this Data Preparation area.

So, the vendor that I've picked to just share with you a little bit today, is ... Cool Tricks.

Now, you'll notice on the bottom of the screen here, and some of you may be aware of process mining tools that are now being either built with, or working alongside things like Power BI and click.

So, we're seeing that, that process mining and data analytics, business intelligence, is coming together.

Now, all tricks, I think I've got to really neat solution if you haven't looked at it.

And by the way, one of the things is that I think that you may find it already exists in your organization.

So old tricks really easily allows you to clean and prepare data across many different sources.

So you can select which inputs are coming in. How do you prepare? So you can run a whole set of rules to clean that data.

You know, if you want to reformat dates because the date from one system is different from the date from another, or indeed the date isn't in the format that you want and there's a whole bunch of formulas that you can run to prepare that data, as well as connecting it through other systems.

You've got a process that's running across shall we, say, an sap and Oracle and Salesforce, but with all tricks, you can harmonize that easily harmonize that data.

Cleansing as is necessary reformatting.

It works on both structured and unstructured data.

So it's a great piece of technology to really help get data ready for consumption in the process mining space.

Some of you may have already seen.

I'm not sure whether Richard Raybin from Abby, will have mentioned in his presentation, but happy, for example, have a relationship with a partnership with all tricks. And so all tricks are really well geared to working with data for working with, that with data process mining area.

So, if you don't already have a tool, that's your choice for dealing with this kind of things, that, I would suggest that it certainly technologies, it's worth taking a look at, and if you're not sure.

About, then, the requirement for it, then, here was a statistics, which I literally pulled earlier from the ... website.

Over 80% of analysis time is wasted on, preparation, and blending of data.

Now, of course, they were predominantly looking at it from a business intelligence perspective, but the same is absolutely true for process modeling, right?

The process mining piece would be 20% of the time.

The data prep is 80% of the time, and anything we can do to reduce that time, and make it easier, has got to be something that's useful.

So, the use of a data analytics tool will, of course, speed up your time to effective process mining.

And, you know, I just points out, that the chances are that you've already got these technologies in use within your organization.

But, it may be that you've got silos that are not talking to each other, and you're not making best use of the skill sets that are available elsewhere.

So, that's, uh, wanted to watch. They're certainly not a small vendor.

But, I've seen the technology niche, It makes a big difference, and I think it could really play a big part in helping you deliver those long term results.

PM_Live_GraphicSo, when I talk about process mining, missing the human elements of process, um, then, yeah, that makes me think of things like toss mining, and other ways of capturing those human to human, or human system interactions.

But even that isn't quite as straightforward as it appears.

And this is where the vendor that I picked for us to look at today is cellular logic, who you've heard mentioned. We're going to talk in a moment with Sophia Pushover.

There's the founder and president of stereo Logic. And I think if you slice, the ferrite will find that she's process through and through.

The one thing that's for me, personally is particularly interesting, is that Sophia spent a lot of her time working in the modeling space and actually building a modeling vendor before she moved into the into the, the mining space. So Sarah Legit, way back in 20 11 were a core vendor. So it's certainly someone that's been around awhile.

And when it comes to figuring out, you know, well, who would use them then? He's just three examples. I pulled off the website.

four Genworth, Pitney Bowes and a Texas Life. So I see that Sophie has very kindly turn on the camera. So that's fantastic. I'm going to turn off the presentation.

You'll need to unmute yourself. I think, Sophia, because I couldn't hear you.

So many people.

Thank you.

So, now, my pleasure, and thank you so much for joining us.

Um, So, Sophie, I wanted to start us off because, you know, when we were talking the other day about this, one of the things that I was intrigued by is that, every technology is always out there. Almost, like, looking for the problem to solve. You know, sometimes these accidents looking for somewhere to happen. And it seems that for process mining, RPA in low code is the accident. they found, that it's like, all right, let's go jump on this. And so we're hearing a lot about the application of process mining to all ....

But I'm intrigued because I think that, from talking to you, you've got an idea that traditional process mining isn't actually well suited to Tony RPA, or low code, no code, and there's a better way of solving that problem. So how do you think we might consider solving it differently?

Hmm. Hmm, hmm, hmm. Hmm. Absolutely.

My own tool.

Cool.

No.

Because me, yeah.

Anymore.

People and our families, people.

Most of all.

Only a minute.

Oh, Pamela's point.

Whoa. Whoa. Whoa, whoa, whoa, whoa.

Close them. All.

Right.

More than anything.

Well, you know.

Oh, in fact, much more appropriately.

Poor.

Me.

We'll talk about that.

OK, so, I can understand that, I understand what you're saying, that Charles Mining does a much better job of capturing those requirements, whether it's for RPA for automation or Indeed, whether it's low Code, no code, because or on other automations because it's all requirements.

I've got a couple of things that jumped to my mind.

one, is that don't all the RPI vendors already have.

How's mining, as part of the part, as part of that product?

And surely, from what I'm seeing, the overhead of installing all these remote desktop recorders, which appears to be the way that it's all being done, it doesn't matter whether it's the mainstream RPA vendors or whether it's the microsofts and Googles of this world. Everyone's got their desktop record isn't.

Suddenly we got, were administering thousands of recorder's isn't really practical.

Yeah.

Trying to find them involved, Our family. Award.

Very cool.

Where do you?

Many of our families.

Or what?

But put on my side.

Wow.

Cool.

Oh.

Oh.

Oh.

But part of that, because.

Yeah.

Look.

Whole. Quantity company, but more than that.

Around them.

Right.

Thank you.

Role, environment.

Work in an environment, OK.

And so.

That's an issue they've got in terms of the top technology, but what about the overhead for the administering? Is this a problem?

Yes. Yes, yes.

Oh, one will require on client computers.

Some timing problems.

Problem.

Yeah?

What's wrong?

Funding?

Poor countries.

Julie?

Food.

Kind of fun.

No.

Robin.

Yeah, I mean, I was what I was looking at, a video that you guys have from Scott Going, I think it was Who was doing a customer customer testimonial for stereo, logic, Aye.

He implied that when he was using stereo logic, there was no administration overhead.

So, I mean, is there something different in the way that you guys are doing the recording compared to what other people are doing?

Again, you've created.

Whoa, Whoa.

Great.

Thank you.

No.

Yeah.

Proper Particularly in the normal time.

you can see.

You? May follower.

Cool.

I'm back.

Oh.

Wow, OK.

Yeah.

Company. Company.

All of that. Money, it could be.

Yep.

Problem, problem, OK?

Whoa, whoa.

Whoa, whoa, Yes.

Yeah, cool.

OK.

Cool, right?

OK, oh. Hello.

Oh.

More, and more products.

Yeah?

Yeah?

Yeah?

Cool.

Nicole, oh, oh, there we go.

So one of my other worries with sauce mining isn't, you know, not plugging myself if I was writing a paper, literally, about the different ways that tells mining can be helpful, but so many people still see it as Big Brother.

I'm very concerned with the fact that actually, when I'm running tasks mining, or recording as it were specifically on a desktop, that I'm recording everything that someone was doing.

click_to_view_all_eventSo, you know, they go check their Facebook page, the next thing we know.

I'm saying how much time they spend, what they're doing in Facebook, etcetera.

So if one is using a Charles mining product like yours, or indeed other people's work, safe calls do we have to find that balance between business necessary information to help improve our organization versus not being seem to be overly snooping on people or indeed, you know, having issues with privacy?

Yeah.

Yep.

Boy, Oh, yeah.

No. No.

Good. Morning.

Yeah.

And you can live, right?

OK, OK.

Yeah.

Oh.

Employ me.

They come from it.

Wow.

Oh.

Linda?

Wow.

Cool.

Yeah?

OK, yeah?

Cool, OK.

Whoa, Whoa, whoa, whoa, whoa, whoa.

Hmm.

Great, thanks.

And then one last question because, um.

This is one that's doing my heading because I can't actually figure out how.

But, when we were speaking in our pre briefing, you were talking about how you enable the mining of processes without logs. So I, in my head, I can see toss mining, running, recorders, capturing what people are doing, and capturing the activities that people are doing.

I can see process mining, running on logs, and capturing what's going on with the system.

Um, I'm curious as to how one captures processes without using the log data.

Yeah, yeah, a lot of time.

Including.

Yeah, yeah.

Only.

Oh!

He can afford it.

Path.

Oh, oh, oh, oh!

Maybe you get it?

Couple of things.

Oh!

Oh, my.

Both but one.

You love me.

Oh, yeah.

Wait.

Whoa. Whoa!

Money!

No?

People will still. Follow. Me?

Yeah?

Nathan, thank you.

Yeah, everything.

Yeah.

I don't know.

Ordinal.

Well, Sophia, thank you so much. We could spend so much time going on, on that area. I really appreciate you taking the time out of your day to join us today.

And, to share your experiences. I'm sure there's a lot of people also scratching their heads and trying to figure out the.

Processes without logs. And so, I guess the best thing for them to do is you just reach out to either a link chain or through the website, and I'm sure that you'll be only too happy to explain that in a little more detail.

Mark McGregor & Sofia PassovaSo, Sophia, thank you, and we look forward to speaking to you again soon.

Let me go.

Thanks.

OK, so if you weren't making a note, as I was introducing, I'll just throw up the, a couple of pieces here, so that, then, we've got the Web address.

And you can see that from stereo logic, perceived themselves as operating in the operational excellence, process mining, task mining, digital twin space. And I just put up a little timeline there from the website. So you can see a little bit about where they come from and where they're going.

And I think the notion really interesting stuff, and one thing that may not have been clear from what Sophia was, saying that my line was breaking up a little bit.

But when it comes to that recording, for me, what they have is unique, it's the fact that it's a cloud based recorder.

So there are no desktop deployment.

So for all those of you, I've looked at how to deploy all those hundreds or thousands of desktop recorders, it seems the sterile as you have a technology that system you don't need to.

So, in that respect, I think that they're an interesting play for you in your toolkit. Regardless of what are the process mining tools that you have?

I mean, we already know that Scenario Stroke ASAP, partnering with third parties, we know that some of the vendors have now started to introduce some task mining.

But I'm not aware of any process mining vendor that's actually offering us.

Computer vision, cloud based, computer vision, task mining, for us all to jump onto. So.

Even if you think, I've already got my precious mining show, I think that you may want to consider where, something like this could play into it.

And certainly, if you're in the RPA space and looking at those multi process, um, issues there, and this could be something worth looking at, in my opinion, OK, so, moving on.

So the third area that I want you to cover was, you know, I mentioned that processes don't exist in a vacuum.

And, here, I want to give a plug, and, you know, again, with all these vendors, have no relationships with these vendors. I'm just, I was just purely looking at some of my research, I guess, sharing with you guys some of the research over the last few months I've been doing and looking at. Well, what else is out there? How else can we plugged gaps? And what I'm about to share with you now is a very, very small vendor the, I think, it's highly unlikely that many of you will have heard of, called MR three-d.. Now, if you go to the ... website, and some of you may even be typing in now to see what was going on.

The initial part of the website is talking about these enterprise meta match and talks about using them in the context of presales, complex presales situations.

As for demonstrations, in principle, what am or three years or does is provide automatically generated three-d.

visualizations of you all, whether it's your technology sector, whether it's systems and processes, so some really good actually Enterprise Architecture tool for providing a three-d. visualization.

Let me give you couple of slides here to give you a couple of images.

So, these images, which are Professional, not looking brilliant, I grabbed them a screengrab of some video, so please.

Don't look at the vendor of the quality of these.

This is because of what I grabbed, but here we can see, these are automatically generated models. So we're pointing it at the data.

And then it's generating these models, which is fascinating to me, because when we look at things like Digital Twin and some process monitoring for process intelligence, we actually want to be looking at a range of processes. And, often, when we're looking through a process mining, So we're only looking at one, we don't see all the interactions So, with Emma three-d., we've got an alternative visualization, which is different from our traditional, shall we say, design time, modeling modeling.

Now, what we're saying is real time operational modeling of the data and systems, and I'm not sure if it shows too easily on the next one, but let's just see. So here, we can see, you know, just another flavor of it. Now, if you look at some of the white dots over here, in the bottom right, the white dots are actually representing no cases or objects flowing through the system.

So it's actually showing you this flow, so that you can literally see where those flows are running through, from, where the bottlenecks are, how they interact.

And when you do your resource planning, the resource runs across whole, basically, jigsaw.

So I think it's fascinating. And it's a great way of overcoming, for me, the limitation of many process mining tools, particularly those that don't link with ..., and therefore, have no connection to models, make it really hard for us to actually look at the interaction across processes, or I should do resource planning and resource management. So it's just one out there that I think is well worth taking a look.

So I'm suggesting that process mining is what you do after you've finished the Exploration.

So investigate what Vision's intelligence or data management tools you already have.

Seek to leverage them.

Consider adding specialized tasks mining to your toolkit.

Certainly, using it for automation projects, before feeding enterprises mining zones, And have a look at what alternative visualization and simulation tools you might bring in MS 3 Days 1.

I've found, maybe you know of some others. And if you do, by the way, anyone out there, then, I'd love to love to know.

And to learn about Lin, and how they're going to complement to give you that Richard Toolkit.

So, I'm about to, and back to Jose. And he's gonna, no doubt, have some interesting questions, depending on where we run on time. And I know we're running a little bit tight.

But, for sure, I think that one of the areas that we can certainly discuss as a is the issues around privacy, which I think, is a big topic that we just don't see enough talked about, and enough coverage.

PM_Live_GraphicSo, I'm going to turn off my screen share, and bring back Jose.

And, Mark, thank you for the presentation, the Insights, and for our Sonia's sophia's participation as well. There was a little bit of a hard time hearing her audio at times, but we're able to capture most of what you said and the and the and it helped add some perspective from, from someone who is on the field making happen right now with clients.

Now, the question that you alluded to there is one that has come up, not only in this session, but in previous sessions as well, especially when it comes to test mining. And then now you have the little the little recording device that's capturing what someone is doing you know in an Excel spreadsheet, and so trying to capture that chill later on create a model, build that into the model for RPA and low code applications. So, where, where is the line drawn?

Knowing where, what, how is privacy protected under, under that type of system? And that this may vary, also by from country to country. So, you can talk a little bit about privacy and what you see in the marketplace right now, with respect to those applications.

I think that, That's exactly the point that I was hoping you're going to ask, because I, because I think geography is the most important thing right now.

And we can look at it as almost three ways round.

It's no different from other areas of privacy, with the EU.

Absolutely, out there, in mandating those rights, to the extent that they're still questionable, how, well, some of the things like tariffs, mining, and other intrusive systems can actually be used. And, in fact, we all must get to the point that says, actually, the employee has got to give you.

The permission actually gets to go through as a, yes, I'm going to allow you to record this. I'm not going to allow you to recall that.

And it's a reverse of Big Brother.

It's actually saying actually little brother's, gotta give me all the permissions.

And it may go too far, right?

It may undermine it to such an extent that the data gathering is not really helping.

So I think that it becomes a really important internal sales job to sell to Jose, the idea that said, Look, this may sound intrusive. But here's how we can do it in a relatively unintrusive way, and this is the benefit to you.

So, it really actually brings a smile to my face, because it says, Gee, I've got to explain how I justify to him how this automation is going to help him.

Not just tell him to do it because I'm smarter and I've got the better technology.

Now, I've actually got to show how Rich, and if I show how it helps you, then you know what?

You'll want to give them information.

Let's go to the other end of the spectrum and take another rather large country, still well down in terms of privacy and is likely to be mandating it, quite frankly.

I'm gonna say this, I mean, I know a lot of our audience: really, you ask them, hey, travel willing, we'll be together in December.

But I'm gonna risk saying this, that this is the type of technology that many US employees are going to work hard to undermine.

Because, if we just look at the news today, you know, big tech companies are now going to reduce your salary, because you're working from home, and you're saving on the travel costs.

No one's talking about the fact that they're saving on office costs, but it's just this whole, it's all about me, it's all about me, and I don't care about you.

And with three point eight million Americans changing jobs in May, then sooner or later, someone's gonna get the understanding that, you know, actually, if I don't care about you, you're not going to care about me.

So, we haven't yet seen, the privacy issue is really kicking off in the US. I'm sure we will.

Canada is over there somewhere in the middle.

I'm going to try and play nice with the US, but adopting stuff from Europe.

But many of the technologies have the ability to turn off what they say so they don't have to be invasive.

The trouble is they can be and it becomes an employer ethics issue.

Roles on technology issue.

Yeah, This is a topic that we could easily fill the hour with that I will, I have a minute left, and I want to ask a question about the market and evolution of these technologies in general Because you're so our position, I'm working as an advisor for so many of these technology companies and their end users, You haven't tremendous background and research as well on the market. So I must ask you this question based on the audience feedback, and the question is: Some of the technologies are no longer than new anymore. You know, we have robotics process automation for awhile around the process mining, digital twins, and that they, they, they overlap between a lot of different areas, you know. How do you see this market and technologists progressing?

Do you see that there will be a consolidation, because I'm going to tell you as an end user is obtained in that, should be dealing with all this little players in this different technologies, that they seem to do the same thing is, is it, is it going to consolidate? Is it going to continue to bifurcate and become more specialized? What is your view of technology in the marketplace? And I'm thinking process mining, RPA, digital, twins, and related type of technologists.

Yeah, so, I think the first thing is, we're going to see some sort of coming together convergence, more of a convergence occurring, probably going into next year. We've seen, I mentioned, you know, another to acquisitions and processes mining. I'm well-known as you know, on record of saying, I think that most of the process mining vendors will disappear into some other stack.

Whether it's in the ELP, whether it's an RPA, whether it's low code, low code BPM. I don't really mind, I mean, to be honest. It was all originally part of the PMS.

In the BPM suites, and it came out, got well developed, and it's going to go back, because it's a capability of this functionality that we all need.

To your point, what we don't need to be fighting with an overlapping vendor saying, Well, I don't just do process mining. I now do RPA as well. Hang on a minute, I've got Mafia. Vendors say late due process mining. A nicer if you do the other thing well.

So, import.

We've got the obvious one that says, gee, if you're struggling in one market, you've gotta go grab another.

But I think we're going to see these things come together.

But we're also going to see other pieces break apart.

But we're going to see an ecosystem decoupling based on APIs. But I don't think we're going to see the RPI low code. No code.

I think the low code, no code is going to make life easier.

In this RPA process mining world.

Because normal service will be resilient. In my opinion RPA, distorted the world.

click_to_view_all_eventThe RPI vendors got massive valuations very, very quickly, to stop them being acquired. Normally, those types of technology would have been acquired by an IBM, or an sap a much earlier, but no one could afford them.

So now, everyone else has had to build alternative solutions, Low code, no code, whatever.

The RPI even isn't going to find another way of moving out of traditional RPI before the others come get them.

So unfortunately for you, the next 12 months is going to be bumpy, but normal service will be resumed.

That's a great perspective as always Mark. We truly appreciate your bringing these insights and practical applications to our global community. And on behalf of that global audience I'd like to say thank you. Thanks to you, to Sofia and for a, great, for a great presentation.

Any sites that ladies and gentlemen, Mark MacGregor always a insightful perspectives on the market on the technologies and on the services there are available.

This wraps up, our, they chew off process mining live. I want to thank every one of you for being with us and asking some really insightful questions, great commentary throughout all of the sessions. We encourage you to join us on LinkedIn. You can look under my name is Joseph Bearish on LinkedIn for the posting of this conference. And you see what other speakers are saying. What the participants are saying, Questions there are being raised there. So please make make a stop. Say hello. Say thanks to our sponsors. Say thanks to our speakers for providing this environment for us to discuss and learn together. Tomorrow, I'll do a quick reveal for what's coming up tomorrow.

Tomorrow, we're going to kick off at the same usual time, and the with a presentation from the director of product management from ServiceNow, and he's going to talk about the journey, from process mining, to business, to business and continuous improvement, and optimization. So, he's going to discuss that, on how that has been asked ServiceNow. Then, we're going to shift into healthcare and Angel Healthcare.

We're going to have the leader and data scientists as signify health talking to us about how they're using process mining. And we're really identifying significant value creation opportunities in healthcare. So he's gonna be talking about some use cases related to health care process mining. Then we're going to shift to Dallas, Texas. And we're gonna bring Ramesh ..., who is the Head of Digital Automation and Enterprise Architecture for Avaya, and Ramesh. Wire is going to be discussing how they're using process insights to drive transparency, and productivity.

Why over commie compliance concerns? So, again, a real practitioner, a leader in industry discussing how they're applying these techniques.

And, we're gonna wrap up the day and the conference tomorrow, a tremendous presentation bringing you the lead Enterprise Architect for Mars. And I'm not talking about the planet, I'm talking about the company, I'm sure they get the joke all the time.

And that is Satish come off. So, she is going to talk to us how to map the real impact of process mining on your business, and specifically, how they're doing this. And Mars is a tremendous, the transformation journey to Mars has been on, and very, very, significant results. And he's going to go deep into the practical aspects of their implementation of process mining, and digital technologies, in general, as, he is, Delete Enterprise Architect for the company. So, great cross industry leaders sharing their expertise, and Real practical insights, again, with us tomorrow.

For all of you, wherever you are in the world, have a wonderful rest of your day, and I look forward to meeting everyone back tomorrow at this broadcast. Thank you, everyone.

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About the Author

Mark McGregorMark McGregor,
Author, Performance & Business Coach.

A former Research Director at leading IT industry analysis firm Gartner, Mark has an extensive background in enterprise architecture, business process management and change management, having held executive positions with a number of technology companies.

Mark has authored or co-authored four books on business and process management, including “Thrive! How to Succeed in the Age of the Customer” and “In Search of BPM Excellence” and  “People Centric Process Management.  Widely respected for his knowledge and views on business change, he is the creator of “Next Practice” and has variously been described as a ”BPM Guru”, a “Thought Leader” and a “Master of Mindset”. 

Mark is passionate about the people aspects of change, he has spent much of the last ten years travelling the world, learning, teaching and researching the cultural aspects of change and how executives perceive business and process improvement In this capacity he has literally taught hundreds of people and been fortunate to interview and interact with many CEO’s.

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About the Author

Sofia PassovaSofia Passova, PHD.,
Founder and President,
StereoLOGIC.

Inventor, Entrepreneur, Innovator and US Patent holder. Sofia has Ph.D. in computer science and M.Sc. in electrical engineering and started her career as a rocket scientist.

She is founder of 2 leading innovative technology companies: Blueprint http://www.blueprintsys.com in 2004 and StereoLOGIC http://www.stereologic.com in 2008. Sofia is an author of many inventions in modeling and simulation ofcomplex business and technology systems adopted by more than 1000clients world-wide.

StereoLOGIC Ltd. is a pioneer in process and task mining since 2008.StereoLOGIC’s world’s quickest Process Mining and Task Mining solution reveals best opportunities for automation via deep diagnostics of business processes.

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