Data Governance, Quality and Risk

Data Quality Works is a consulting firm specialising in data governance, quality and risk. We help with data migration, building and implementing data governance, quality and risk policies and frameworks, evaluating and rolling out data governance tools and building business glossaries. Reach out at

Articles, Presentations and Open Source Projects

Photograph of a tray of tools organised by the task for which they are used.

Organising in Microsoft Purview Classic

There are many ways to organise resources in Microsoft Purview Classic, from Glossaries to Classifications, Tags, Sensitivity Labels, Collections, and more. This post provides an at-a-glance view of their interaction.
Published on:
Processed scan of a print of a letter G.

Building Business Glossaries in Microsoft Purview

Building Business Glossaries in Microsoft Purview without clear requirements and without making upfront design decisions will cause pain later on. The critical decisions are whether to catalogue concepts or terms, how to deal with facets, and how to structure glossaries based on who has the authority over definitions.
Published on:
Screenshot of Tableau data quality dashboard.

Data Quality Analytics

Developing a business glossary using faceted classification, a set of hierarchies across mutually exclusive fundamental concepts, can effectively connect business language with dimensional data quality measurements.
Published on:
Photo of a folded paper shape illustrating faceted classification.

Taxonomies for Confluence is Now Open-Source

Taxonomies for Confluence add-on is now available under the MIT license from Github.
Published on:
Photo of store shelves stacked with spices.

Data Beliefs

Somewhat contrarian data beliefs and their consequences for implementing data governance. These beliefs are about definitions of data and information, aboutness, classification and metaphors.
Published on:
Outline of the foldable 3D shape to help communicate faceted classification ideas.

Data Governance Stationery

Outline of the foldable 3D shape to help communicate faceted classification ideas.
Published on:
Abstract pattern.

SKOS Version of ANZSIC

SKOS version of Australian and New Zealand Standard Industrial Classification (ANZSIC) that can be loaded into SKOS-compatible taxonomy tools.
Published on:
Image of stacked boxes.

Capability Models with TOGAF Ontology

Capturing capability models using TOGAF Metamodel Ontology provides an excellent opportunity to visualise, share and debate them.
Published on:
Screenshot from PROV-O Viz showing provenance of risk information about a repo trade.

Data Centric Architecture Forum 2020 Demo

The purpose of this demo presented at the Data Centric Architecture Forum 2020 is to show capturing of the provenance information using common vocabulary of PROV-O in a repo trading and risk reporting scenario.
Published on:
Fragment of a scan of the Tree of Life diagram.

Development of Regulatory Taxonomies

Looking into benefits and challenges of developing harmonised regulatory taxonomies, benefits in the absence of such harmonisation, and the role that regulators, regulated firms and vendors can play in the taxonomy development.
Published on:
Photo of an 80-column punched card.

Uses of Machine Readable Regulatory Rulebooks

Looking into the main beneficiaries of Model Driven Machine Executable Regulation (MDMER), and the role of third party service providers in its adoption.
Published on:
Photo of a red panda.


RdfPandas is a module providing RDF support for Pandas. It consists of two simple functions for Graph to DataFrame conversion and DataFrame to Graph conversion.
Published on:
Photo of sweets that look like a heatmap.

Anomaly Detection in Performance Testing

Building software performance testing analytics pipeline involves defining the analysis question, getting and cleaning data, performing analysis and integrating the results with the testing frameworks.
Published on: