Infoventure har været til Elastic Copenhagen Meetup. Hvor de har fortalt om, hvordan Infoventure anvender Elasticsearch som motor i deres process mining værktøj, “Process Navigator”. Process Navigator er designet til hurtigt og præcist at synliggøre process compliance, gennemløbstider, flaskehalse, optimeringsmuligheder og forretningsværdi.
2. Agenda
• Introduction
• Process Mining and Use-cases
• Live demo – Process Navigator
• Key decision drivers for choosing Elasticsearch
• Differences from a relational core engine
• Take-aways from moving to Elasticsearch
• Questions
3. Infoventure ApS
Founded in may 2016 as a consultancy company
Located in Copenhagen (Nyhavn)
Work with larger public and commercial clients
8 people as of today and growing
Started SW development in 2018
Check us out at www.infoventure.dk
4. Process Mining and Use-cases
• Mapping real-life behavior based on digital footprints
• Monitoring actual versus expected behavior
• Answers questions like:
• How does my real process look?
• How does our work flow and do we have bottlenecks?
• Do we do the same work differently and which way is best?
• Are we compliant and if not, when and who?
• Puts management in control
• Drives organizational changes – data driven decision making
6. Key decision drivers for choosing
Elasticsearch
• Search is key - valuable information is hidden in unstructured data
• Near-real-time analytics is gaining more and more attention
• Logfiles contains more information than DB tables
• Most analytics tools are not built for web-consumption
• Security, Alarms, Machine Learning and Canvas with platinum services
• Enables modular deployment models for our solutions
7. Differences from a relational core engine
Data structures:
flexible and ready for consumption in Javascript and Webclients
Functions and queries:
not easy to make complex queries on nested data
Http API’s
easy to use and flexible
Near realtime data:
really easy with Logstash
Documents:
much more flexible than tabular data
Search:
takes the pain away from unstructured data
Scalability:
we use simple container instances, BYOL clusters and Cloud services
“There is learning curve when
coming from a relational DB
background”
8. Take-aways from moving to Elasticsearch
• First steps were really quick
• We need to rethink our ideas to a new technology
• The documentation and community is of great assistance
• We gained a lot of new capabilities in our solution, and expect more
• Our clients are in a much better place to realize the opportunities in
process mining
