Smart Analytics


Data driven decisions

If analytics, then do it right!

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.

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.

The highlights in brief

  • Our goal is to optimally support or automate decisions through data and thus generate real added value for our clients.
  • There are four designs to consider for analytics solutions: Business, Application, Data and Technical Design.
  • We support you holistically from the technical definition of content and visualizations to strategy definition, conception and orchestration of the architecture.



Discuss further details with our Smart Analytics expert!

Our clients


celver webinar on strategic corporate management with modern scorecard solutions
XING Digital Breaks | Expert Talk
Christoph Kleine
Prof. Dr. Andreas Seufert
Webinar on demand

Strategic corporate management with modern scorecard solutions

celver webinar on the Balanced Scorecard at Olympus
Webinar on demand
Mathies von Schöning
Prof. Dr. Andreas Seufert
Roger Schymik
Webinar on demand

Balanced Scorecard at Olympus

Introduction of a holistic and data-based control process

celver webinar on building a real-time analytics platform
Webinar on demand
Julian Ereth
Julian Schütt
Hendrik Hagen
Webinar on demand

Establishment of a real-time analytics platform

Created with Infrastructure as Code

Our news provides you with the latest insights into smart planning, smart analytics, smart data and smart cloud.

Register now