Business Development with KPIs

Data analytics
Performance improvement

Millions of digital data arise daily in the IT landscape of our customer – a huge potential to generate real value: optimization of business processes, effectiveness verification of measures and data driven enhancement of the company. Business development on KPI basis.

Definition of the project

  • Provision of benchmarks, comparable values and forecasts and
  • Visualization / presentation of performance development of units, groups and markets
  • Processing of KPIs including dependencies
  • Overall improvement of data quality
  • Direct integration into the company specific Corporate Design
  • A convincing usability concept for users all over the world (Asia, Europe, Australia)
  • Highest standards of protection of data privacy and a modern data center which is not dependent on the access location


  • The result is a KPI solution that does not only help to identify potentials and factors of successes, but supports the users with intelligent workflows and intuitive features
  • Transparency: data correlations are detected and shown
  • Strategic use: users are able to detect clear potentials for the strategic improvement of their measures
  • Services: diagrams, comparisons and indicators help to analyze data
  • Comfort: Frontend and user guidance are subject to user requirements that have been identified before.
  • Simplicity: intuitive data management and quality assurance to save time for the essential things

Architecture principle

  • Performant NoSQL-data base for live analysis and calculations
  • RESTful APIs
  • Distributed data base cluster
  • CI/CD-Build-Pipeline
  • Mobile-compatible Single Page Application


  • Basics: Java, Maven, NPM, Node, Git
  • Containerization: Docker, Rancher
  • Spring Boot, Spring Data, Cassandra, SAML 2.0
  • Angular, Bootstrap

Set of methods

  • Research
    • Qualitative user interviews in China, Spain, Portugal and Switzerland
    • Prototype-based requirement workshops
  • Requirements Engineering
    • User Story Mapping to visualize requirements
    • Requirements refinement in small, interdisciplinary teams, consisting of Frontend, Backend, UX and IT-Security
    • Iterative collaboration with the professional department on a partnership basis
  • Development
    • QDD – Quality Driven Design
    • DevOps
    • Kanban

Customer benefits

  • User orientation – thanks to previous requirements workshops
  • Guaranteed future – high data quality for BI and smart analytics
  • Performance – fast data retrieval through innovative data base technology.
  • Value creation relevance – substantial contribution to the KPI improvement
  • Plannability – data overview and comparisons for strategic planning support
  • Data quality – automatic validation within the system
Alexander Podlich

Member of the management board