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Process Mining with
Elasticsearch
Elastic Commuity Team, Copenhagen MeetUp
April 4th, 2019
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
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
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
Process Navigator livedemo
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
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”
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
Questions?
Want to get to know us?
come visit our office in Nyhavn 43
{…Friday is always wine day}
aml@infoventure.dk
+45 30209944
www.infoventure.dk

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Infoventure presentation Elasticsearch meet up

  • 1. Process Mining with Elasticsearch Elastic Commuity Team, Copenhagen MeetUp April 4th, 2019
  • 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
  • 10. Want to get to know us? come visit our office in Nyhavn 43 {…Friday is always wine day} aml@infoventure.dk +45 30209944 www.infoventure.dk