Smart Analytics

For us, analytics is more than just a further development of classic BI and reporting systems. We therefore support our customers holistically from the technical definition of content and visualizations to strategy definition, conception and orchestration of the resulting architecture. All with the goal of optimally supporting or automating decisions through data and thus generating real added value.

When implementing new analysis solutions or optimizing existing ones, it is essential to consider four elementary designs: business, application, data and technical design. Each design pursues an individual overarching objective, as the following figure shows.

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Business Design - Relevance

Whether you want to modernize an existing solution or introduce a completely new one: First, an inventory must be taken and goals clearly defined. Metrics are captured with KPIs and dimensions, and data availability is validated. Relevant user stories (Epic - Theme - Task) are identified, prioritized according to their added value and requirements defined accordingly. Responsibilities and governance guidelines also need to be defined.

Application Design - Intuitiveness

Basic style guides for the future analytics solution form the basis for the application design. The basic look and feel (colors, graphics, displays, etc.) is determined as part of the information design, and the drill paths and navigation in the individual dashboards are defined with the story telling. This ensures intuitive user guidance based on the user stories. Depending on the end user type, different priorities are set:

• Self Service
• Guided Analytics
• Standard reporting
• Mobile
• Advanced Analytics

Data Design - Agility

Due to the increasingly heterogeneous data sources, classic architectures (ERP -> DWH -> BI frontend) can often no longer meet modern requirements. Therefore modern architectures and data catalog solutions are important methods and tools that ensure an agile and scalable expansion of the solution.

Technical design - scalability

Modern and smart architectures are the basis for all solutions built on them and are therefore of elementary importance. The requirements have changed enormously in many respects in recent years, especially with regard to the amount and type of data to be stored. For reasons of flexibility, scalability, functionality and, last but not least, cost, hardly anyone can avoid cloud solutions today. Identifying the right tools and services, orchestrating them correctly and combining them with the front-end tools is a complex task.