We had episodes about BPM education on the show before, but this time we speak with someone who is from a different generation than your regular hosts.And our guest Daniel Matka is building a “Process Academy” to bring process management knowledge to the next generation. And while doing this, he’s building modern ways of structuring […]
There has been a lot of consolidation in the process/architecture space in the last few years, mostly driven by PE firms. But why is that so, and why does it seem that there is no alternative to this business model? Back in the day there were foundations behind the companies, or they were privately held, […]
To implement AI (and processes) correctly, you need good data. But what does that mean? Well, firstly it means that you can define your data product and to achieve that you need good data governance. But are we now in a super-nerdy topic? No, this is what we all do in some form or another […]
This episode closes out the mini series about data, and this time we talk about data modeling. Data models are some of the things that I have seen the least often in projects over the last two decades. Why is that? Is it because it is too geeky, or not interesting enough compared to, say, […]
As we all know, the majority of time in a process mining project is in some form or fashion related to data preparation and a significant lower share of time is spent on the actual analysis. There are multiple ways of getting you data into shape (SQL, visual data modeling tools, etc.), but our guest […]
In the previous articles of this series we have answered the questions “what is my data?” and “where do I store my data?”. We also had a look at where logical data is used. This final article about data modeling now has a second look at the where data is used and answers the question […]
In the previous articles of this series, we looked at the major questions that will be answered when data modeling, and had a look at how to create conceptual and logical data models (part 1). We then looked at how logical data will be used in other models, such as processes or application landscapes. We […]
Data models are some of the things that I have seen the least often in projects over the last two decades. Why is that? Is it because it is too geeky, or not interesting enough compared to, say, a process model in BPMN? This is the first article of a series that talks about data […]
