Draft:DataCards
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Comment: In accordance with Wikipedia's Conflict of interest guideline, I disclose that I have a conflict of interest regarding the subject of this article. HermannKloeckner (talk) 22:15, 18 February 2026 (UTC)
DataCards is a European business intelligence (BI) software platform developed in Berlin by Cavorit Consulting GmbH. https://cavorit.de It is designed to connect analytical models and data-processing pipelines in a shared algorithm warehouse and to present key metrics and insights in interactive, card-based dashboards for decision-makers and stakeholders.
Overview
DataCards is a modular BI and decision-support system that integrates data sources, analytical models, and visualization components into structured “cards” or decks. Each card represents a specific metric, model output, or decision parameter and can be combined with others to form interactive analysis environments. The system aims to bridge the gap between data science teams and management by providing interpretable outputs and collaborative interfaces by AI.
The platform is intended for use in organizational decision-making contexts where multiple data streams and models must be combined and interpreted collectively. It is used in research and applied projects in areas such as industrial analytics, sustainability planning, and
Architecture
DataCards connects algorithms and datasets in a centralized or federated warehouse environment. Analytical outputs are structured into reusable components that can be assembled into decks or dashboards. These decks allow users to explore metrics, model assumptions, and scenario outcomes in a shared interface.
The system emphasizes transparency of analytical processes and traceability of decisions. It supports integration with external data platforms and enterprise systems, and it is designed to accommodate both automated analytics and human-in-the-loop evaluation.
Conceptual basis
DataCards is based on principles of Collective Intelligence and Hybrid Intelligence. The platform is intended to support collaborative interpretation of data and joint decision-making between human experts and computational systems. Its design reflects research on group decision support, visual analytics, and human–AI interaction conducted by Cavorits Partners and Harald Fiedler (Statistics), Prof. Hermann Klöckner (Human-AI collaboration) and Dr. Eveline Mäthner (Business Psychology)
Development
The concept for DataCards was developed in Berlin and Brandenburg beginning in 2021 by a team at Cavorit Consulting GmbH. It was conceived by Harald Fiedler, Prof. Hermann Klöckner, Dr. Eveline Mäthner, and collaborators in the fields of design, data science, and organizational psychology. Development has taken place in the context of applied industry projects and research initiatives focusing on data-driven decision-making and collaborative analytics.
Applications
DataCards has been applied in projects involving industrial analytics, sustainability metrics, and organizational strategy. The platform is used to structure complex data for management decision-making, to facilitate workshops and collaborative analysis sessions, and to support the integration of AI-based models into business intelligence workflows.
See also • Business intelligence • Artificial intelligence • Decision support system • Collective intelligence • Hybrid intelligent system
References
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