Success Stories

Success­stories of our customers - We are proud of that!

We have the right concept for your requirements! How will we convince you of this? With our references. Because satisfied customers are the best recommendation. Our competence and quality are reflected in more than 250 successful projects. The following success stories will give you a deep understanding of our methods and solutions.

Customers who trust us

Introduction Elastic at PostFinance

Requirements

  • Fast writing and reading of data
  • Data viewing and checking via Kibana
  • Queries via REST API for integration into the
    application
  • Persistent storage for tracing data

Our commitment

  • Performant full text search
  • Analysis of large unstructured and structured
    structured data sets
  • Performant personal data search
  • Search optimisation to locate payments made

Benefit

With the use of enterprise licences for Elasticsearch, PostFinance has a managed and highly automated Elasticsearch cluster available per use case.

"PostFinance benefits daily from Elastic as part of its architecture and uses it as a standardised, automated and flexibly configurable service, automated and flexibly configurable service".
Yannick Simon
Architecture Owner Observability, PostFinance

Introduction Omada at the Lucerne Pyschiatry

Requirements

  • Security and compliance
  • Reduce user administration through automation
  • Improved reporting
  • Documentation & regulatory compliance

Our commitment

  • Automate processes for identity lifecycle management, recertification, segregation of duties, password resets and emergency lockdowns.

Benefit

Omada’s solution enables Lucerne Psychiatry’s IT professionals to accelerate the rollout of new applications and digitised services while meeting their industry-leading compliance and governance requirements.

"Omada provides the automation and transparency we need to meet regulatory requirements and protect our customers' personal data."
Beat Stucki
CIO, Lucerne Psychiatry

Access statistics geodienste.ch

Requirements

  • Order map sections based on GEO coordinates and other properties.
  • The application that delivers the map sections should log the accesses.

Our commitment

  • One-time import of existing historical log data (Logstash and Filebeat)
  • Enrich, aggregate and save the log data in Elasticsearch
  • Offline calculation of the affected cantons based on the selected map section

Benefit

By creating data types, the cantons could be mapped with the required
with the required accuracy in Elasticsearch and the access
and the access statistics could be created with the help of GeoShape queries.

"It was an exciting and challenging task, which was successfully solved with the help of the versatile functions of Elastic Stack.
Mathew Thekkekara