EXPeriment driven and user eXPerience oriented analytics for eXtremely Precise outcomes and decisions
ExtremeXP proposes a new paradigm for data analytics. This paradigm consists of experimentation-driven analytics, to provide accurate, precise, fit-for-purpose, and trustworthy data-driven insights via evaluating different complex analytics variants, considering end users’ preferences and feedback in an automated way.
The ambition is to provide capabilities for learning from experimentation to predict user requirements, profiling the user, and proactively generating the accurate analytics workflow towards more precise outcomes and personalized insights for decision making and focusing on the user experience, requirements, and needs and putting him in the center of the decision-making process.
ExtremeXP will integrate cutting-edge research results from the domains of data integration, machine learning, visual analytics, explainable AI, decentralized trust, knowledge engineering, and model-driven engineering into a common framework.
