Maturity Model
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Proactive corporate management through meaningful reports
We use the BI Maturity Model to evaluate and optimise existing in-house reporting systems. It systematically divides the maturity level of a company’s reporting into four levels.
At the first two levels, information and operational reports are evaluated on a historical basis. With increasing professionalisation, the interactivity within reporting increases. In the third stage, information is then processed into simulation and scenario models. Now the focus is on understanding developments to be expected in the future. The ex ante reporting system is understood as an active control instrument for corporate management. The fourth and final stage follows on from this: Here, the best possible decision templates are derived automatically.
Approach and goals
We evaluate your company’s current reporting maturity level and identify weaknesses and potential. We then make adjustments and optimisations and actively support you in the further professionalisation of your reporting. The quality and informative value of your reporting will thus rise to a new level and enable you to manage your company more proactively, based on objectified qualitative and quantitative parameters. You benefit from this in particular for strategic as well as tactical-operational corporate decisions.
Level 1
- cumbersome preparation
- no data strategy
- unclear responsibilities
- Ex-post observation
Level 2
- Harmonisation of inconsistent upstream systems
- "Why" analysis Interactivity increases
- Interactivity increases
Level 3
- Simulation & scenario models
- Focus on the entire company
- Ex-ante reporting
- Active steering instrument
Level 4
- Automated decision templates
- Proactive corporate management
- objectified influencing variables
Additionally we offer
- Evaluation and proof of concept
- Review of existing data sources and infrastructure
- Licensing positions
- Security requirements
- Embedding professional reporting into the organisational structure
- Expertise in optimising ETL data processes
- Scalability of existing and future BI environments
- Ease of use and aesthetics