GEMA – Central process control with Camunda
GEMA orchestrates more than 580 cross-team processes with millions of records centrally using Camunda. cimt developed the process control and supported the migration to Google Cloud.
Case study · Data cleansing with Camunda
GVLAutomated data cleansing with Camunda, BPMN and DMN
BPMN + DMN
complex business rules as an executable rule set
Automated
data analysis and cleansing
Cockpit plug-in
monitoring of decisions made in the engine
Talend ESB
service layer for data access
Client
GVL – Gesellschaft zur Verwertung von Leistungsschutzrechten (German collecting society for neighbouring rights)
Project: data cleansing with Camunda
Industry: Media
Headquarters: Berlin
Your contact
Oliver Fromm
Board Member, cimt Group
Technologies and methods
Camunda and Camunda Cockpit · BPMN and DMN · Talend ESB · Java 8, Spring, Maven · Apache Tomcat · PostgreSQL · Git, Gitflow · Scrum
Starting point
A new billing procedure and a grown data stock
GVL (Gesellschaft zur Verwertung von Leistungsschutzrechten) represents artists and event organisers vis-à-vis broadcasters. Rights holders rely on a reliable distribution of remuneration based on the works used.
The switch to a new billing procedure required the extensive data stock to be restructured and consolidated. A modern IT approach was particularly important to GVL – and already in the first discussions, data cleansing with Camunda emerged as the optimal solution.
Mission
Automating data cleansing with Camunda
- Automated data analysis and cleansing based on complex business rules modelled with BPMN and DMN
- Automated execution and controlling of the processes with Camunda and Camunda Cockpit
- Access to company data via a service layer implemented in Talend ESB
Services
What cimt contributed
Sub-project management
Managing the sub-project from planning to implementation.
Guidelines and best practices
Development guidelines and best practices for development, release and testing, plus setting up the IT landscape.
Modelling patterns
Application-specific modelling patterns for BPMN and DMN, tailored to GVL’s requirements.
Database optimisation
An optimised database for controlling large data volumes via Camunda’s history function.
Result
Result of the data cleansing with Camunda
- Optimal monitoring through a plug-in extension of Camunda Cockpit that makes the decisions taken in the engine visible
- A very extensive yet manageable rule set with DMN
- DMN in intensive use as a modern, business-friendly standard for decision logic
Next step
Running Camunda 7? Here is how to move to Camunda 8
Many companies run business-critical processes on Camunda 7. As a Camunda Platinum Partner, we support you from the assessment to the migration – or when starting new projects directly on Camunda 8.
References
More business cases
Panasonic Europe – Scalable approval processes with Camunda and DMN
Panasonic Europe digitalises hundreds of approval processes with one generic BPMN model and DMN decision tables in Camunda; cimt is responsible for the methodological design and supports the implementation.
Berliner Wasserbetriebe – Process migration to Camunda
For Berliner Wasserbetriebe, cimt migrated construction project control including long-running process instances to Camunda BPM and gradually replaced the Java EE monolith with microservices.