Benchmarking
Data analysis
Performance optimization
Millions of digital data are generated in the IT landscape of our client every day – a great potential to generate real added value: Optimizing business processes, checking the effectiveness of measures, and further developing the company in a data-driven manner. Business development based on KPIs.
Task
- Provision of benchmarks, comparative values and forecasts
- Presentation of performance development of individual units, groups and markets
- Preparation of key figures including dependencies
- General improvement of data quality
- Seamless integration into the company-specific corporate design
- A usability concept that convinces all users – in Asia, Europe and Australia
- Highest data protection standards and a modern data center – regardless of access location
Solution
- The result is a KPI solution that not only helps identify potentials and success factors, but also supports users in the best possible way with intelligent workflows and intuitive features
- Transparency: Interrelationships in the data are identified and made clear
- Strategic benefit: Users recognize clear potential for the strategic improvement of their measures
- Services: Diagrams, comparisons and indicators help with data analysis
Convenience: Frontend and user guidance follow previously identified user needs - Simplicity: Intuitive data maintenance and quality assurance, leaving more time for the essentials
Architecture principle
- High-performance NoSQL database for live analytics and computations
- RESTful APIs
- Distributed database cluster
- CI/CD build pipeline
- Mobile-compatible single page application
Technology stack
- 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 requirements workshops
- Requirements engineering
- User story mapping to visualize requirements
- Refinement of requirements in a small interdisciplinary team consisting of frontend, backend, UX and IT security experts
- Iterative and cooperative collaboration with the business side
- Development
- QDD – Quality Driven Design
- DevOps
- Kanban
Customer benefits
- User-centeredness – thanks to prior requirements workshops
- Future-proof – high data quality for BI and Smart Analytics
- Performance – fast data retrieval through innovative DB technology
- Value creation relevance – substantial contribution to the improvement of KPIs
- Planability – data overview and comparisons to support strategic planning
- Data quality – automatic validation in the system
