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 info@dataqualityworks.com.
Articles, Presentations and Open Source Projects
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.
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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.
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Taxonomies for Confluence is Now Open-Source
Taxonomies for Confluence add-on is now available under the MIT license from Github.
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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.
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Data Governance Stationery
Outline of the foldable 3D shape to help communicate faceted classification ideas.
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SKOS Version of ANZSIC
SKOS version of Australian and New Zealand Standard Industrial Classification (ANZSIC) that can be loaded into SKOS-compatible taxonomy tools.
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Capability Models with TOGAF Ontology
Capturing capability models using TOGAF Metamodel Ontology provides an excellent opportunity to visualise, share and debate them.
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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.
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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.
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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.
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RdfPandas
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.
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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.
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