Documentation
This section is dedicated to the incorporation and presentation of the various documents produced within Work Package 4 (WP4) of the DATAMITE project. It serves as a central space where users can access, review, and interact with the outputs and deliverables developed as part of WP4 activities.
Towards a Data Monetization Maturity Model
The document “Towards a Data Monetization Maturity Model” introduces and details the Data Monetization Maturity Model (DMMM) — the first maturity model specifically designed to assess and guide organizations in data monetization.
Download PDFDeliverable D4.1 - Strategies for Improving Data Monetization
The report provides the approach for developing data monetisation strategies and structures specific strategy profiles for data monetisation.
Not Available YetDeliverable D4.2 - Basic Dataset Computation Approach and Structured KPI Catalogue for the Valuation of Datasets
The report includes a catalogue and defines the approach required to determine the value of data sets using KPIs.
Download PDFDeliverable D4.3 - Mechanisms for Transaction and Billing of Data-Based Offerings, Action Blueprints for Business Model Design
The report offers the possibility to calculate business scenarios and blueprints for designing situation-specific mechanisms for data monetisation in EU companies.
Not Available yetDeliverable D4.4 - Value of Data Sharing on SSH
This report outlines (future) value and benefits on SSH and compiles potentials in other SSH areas beyond the monetary aspect.
Not Available YetDATAMITE Deliverable D4.7 - LLM-Based Retrieval Augmented Generation (RAG) System for Identifying Effective Data Monetisation Strategies
D4.7 extends previous WP4 outputs—especially Deliverable D4.2 (KPI Catalogue and ANP Decision-Support Tool)—by embedding Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) components into the DATAMITE web-based decision-support environment. In essence, this document: (1) Describes how AI (LLM + RAG) is integrated into the existing DATAMITE data-monetisation tools. (2) Demonstrates how the system transforms static project outputs (documents, KPIs, taxonomies) into an interactive, explainable, conversational assistant. (3) Details the architecture, deployment, and functioning of that intelligent web tool.
Not Available Yet