We optimize business processes
using a fact-based way of working. We believe organizations should not make assumptions on their processes flow and should not trust subjective man-made models. Have you ever heard somebody say about a process model “that is exactly what my process looks like in reality?”. We combine DEMO, an approach for creating objective process models, Lean Six Sigma, a set of process analysis techniques, and process mining, an approach to gather evidence about how processes actually run. If you would like to know more about process optimization, click on the tabs on the right.
- People: We gather data about the process from people using different techniques like interviews, surveys and registration apps.
- Automated transactions/events: Existing information systems support processes in automated transactions (for example creating invoices from data or sending purchase orders to suppliers using certain inputs). For ‘live transaction monitoring’ we use different client and/or server-side interceptors that help us to gather contextually enriched transaction data (including time and/or location metadata).
- Existing databases: A lot of data is already stored in transactional information systems. In some cases this data is ready for use or can be simply processed for our data gathering activities.
- Waste of transportation: unnecessary transportation of products
- Waste of inventory: unnecessary inventory of products, tools, materials
- Waste of motion: unnecessary movement of people
- Waste of waiting: unnecessary time spent waiting (no continuous flow)
- Waste of overprocessing: products made better than needed, clients are not willing to pay for these activities
- Waste of overproduction: more products made than needed, take up space or need to be thrown away
- Waste of defects: products made with defects, clients not willing to pay for these products
Also, we look for opportunities making the process more pull-based as proposed by Lean. In production processes of intangible products (i.e. services) results are not always clearly defined. Especially in these types of processes techniques from the method DEMO helps to define the end result, the intermediary results, and all value-adding activities.
- DMAIC: the approach to finding and solving quality issues
- statistic process control: determine whether a process stays insides its boundaries or not
- ANOVA: comparing data from different measurements to detect differences
- regression: finding patterns in measurement data
- cause-and-effect diagrams: finding potential causes of quality issues
- design of experiments: testing whether or not a certain factor actually causes or solves a quality issues
We are computer scientists
We visualize analysis results
You can download the following posters: Process Mining, Data Science low res, Data Science high res (download only, not viewable), Application Integration, Enterprise Engineering, and Maxima for Information Architecture.
Process mining softwareOur SaaS process mining software for VISI building projects shows what actually happened during project execution. Not a VISI user, but interested in mining your processes? Contact us and we'll write a custom adapter for your processes/systems!
instant access, cross browser, no installation required
View our demo movie!
(Enable HD to have a good look at the details)
We give courses
about SOA, process modeling (e.g. DEMO, LSS), Enterprise Architecture, and many other subjects. Contact us if you're interested in an in-house course for your organization or have a look at the webinars below.
Meet our team
Ir. André Boonzaaijer
Dr. ir. Linda Terlouw