Data Architecture & Knowledge Engineering
Datenvalue transforms diverse datasets into structured, searchable, policy-compliant knowledge assets — the foundation that powers AI agents, graph intelligence, and confident decision-making.
What we do
Every organisation holds more information than it can use. The gap between data and knowledge is an architecture problem. We close it.
Schemas, ontologies, taxonomies, and metadata frameworks for structured and unstructured datasets. Entity, relationship, and attribute models that support graph-based reasoning and discovery.
Review incoming datasets for completeness, accuracy, and consistency. Identify and resolve duplication, missing values, formatting inconsistencies, and entity ambiguity. Establish lasting validation standards.
Tagging, categorisation, and metadata strategies that improve searchability and retrieval. Entity resolution and normalisation across multiple datasets. Controlled vocabularies and classification systems.
Review datasets and workflows for compliance with privacy, security, licensing, and data governance requirements. Auditability, provenance tracking, and explainability across all data assets.
About
Datenvalue is the independent practice of Unmil Karadkar — a data architect and knowledge engineer with over two decades of experience turning complex, fragmented data into precise, usable assets.
Based in Graz, Austria, working internationally. Fluent in the full spectrum from raw ingestion to graph-powered intelligence.
How we work
Data architecture work that can't be explained, audited, or handed over isn't finished. Everything Datenvalue produces is documented, traceable, and built to outlast the engagement.
Step 01
Deep review of existing data sources, systems, and goals. We map what you have before designing what you need.
Step 02
Schema development, ontology design, and metadata strategy tailored to your specific reasoning and retrieval needs.
Step 03
Implementation with rigorous quality assurance — entity resolution, normalisation, validation processes, and health monitoring.
Step 04
Full documentation, governance frameworks, and provenance tracking so your team can maintain, extend, and trust what was built.
Contact
Whether you're starting from scratch or untangling years of accumulated complexity, the first conversation is always free.