The occursus model© for data-based decision-making
This model strengthens leaders in making well-informed decisions, embeds data literacy and a shared data culture, creates orientation within complex organisations, and connects data, people and processes into a learning system.
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occursus does not treat data as an end in itself, but as the foundation for orientation, prioritisation and responsible decision-making in complex systems.
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My purpose is, that organisations make better decisions – decisions based on relevant data and capable of solving real problems effectively.
01
Analysis and Contextualisation
Analysis of existing data landscapes, systems and sources; positioning data within the context of strategy, organisation and decision-making processes; and clarification of the truly decision-relevant questions.
02
Building Data Literacy and Data Culture
Developing a shared understanding of data and KPIs, strengthening interpretation capabilities, and establishing an open, learning-oriented data culture.
03
Building a network
Connecting internal and external experts, involving business units, management, IT, academia and partners, and breaking down silo structures.
04
Facilitation Formats
Design and facilitation of dialogue, working and decision-making formats; translating data into clear narratives and visualisations; and fostering shared interpretation instead of isolated reporting.
05
Structuring and Implementation
Defining clear decision-making processes, roles and responsibilities, embedding data-based decisions into everyday practice, and deriving concrete actions.
06
Controlling and Learning
Reviewing impact and goal achievement, challenging assumptions, deriving learnings and continuously evolving decision logics.