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Our clients

Kaiasm has worked on commercial and government data projects since 2011.

Kaiasm don't just tackle data problems, they dissect them. As a client it's a joy to work with a team who relish an intellectual challenge, who can bring specialist methodologies to bear, but who above all else want understand what makes your organisation tick and how their work can be meaningful in your particular context.”

Ian Gordon, Head of Data, Houses of Parliament Restoration and Renewal
  • Sopra Steria
  • IBM iX
  • Deloitte Digital
  • Ernst & Young
  • Techmodal
  • NHS
  • Ministry of Defence
  • Office of National Statistics
  • Houses of Parliament Restoration and Renewal
  • Ordnance Survey
  • RS
  • Howdens
  • Screwfix
  • Bought By Many
  • TPG

Client case studies

National Highways

Mapping complex data landscapes across an organisation in an intelligible way

The challenge

As part of an extensive systems and data integration project, National Highways required a common organisational understanding of data for both technical and business users.

The solution

Kaiasm delivered detailed operational insight, depicting the complex data landscape - across multiple taxonomies, applications and data stores, along with inferred, internal and external standards - as a visual, value-weighted interactive map using OntoKai as a management and delivery tool. This functions as a data dictionary, glossary and conceptual data model that removes dependency on particular applications and technologies.

Results

The interactive visualisation outputs are understandable and memorable for humans regardless of area of expertise, as well as easily machine-readable. Benefits from improved clarity and resultant prioritisation include reduction in information rework in data transfer (internally and externally), and providing knowledge infrastructure for future data science and AI applications.

Kaiasm are clearly experts in their field, and they understand the value ontology can bring to providing clarity on the way an organisation actually works”

Adam Locker, Head of Data Architecture & Engineering, National Highways

Houses of Parliament Restoration & Renewal

Creating metadata structures for data governance

The challenge

The Houses of Parliament Restoration and Renewal project required metadata architecture to support the structuring of their Collibra data catalogue. They needed this to:

  • inform their Collibra glossary
  • create a common data model
  • create a common data dictionary - to pull and collate data and attributes from multiple sources
  • add more granularity in data relationships
  • identify the producers and consumers of particular data classes.

The work also had to be future-proofed for easy editability and integration with the wider parliament.

The solution

Kaiasm created and merged representations from 12 heterogenous structured data sources - including across the Information Asset Register, cost centres, project breakdown structures, file naming and storage structures into an operational ontology, including implicit and explicit reference data. Kaiasm then mapped the reference data for upload to the data model of the Houses of Parliament Restoration and Renewal data governance system.

Results

Kaiasm’s work was successfully used to populate and support the implementation of the Houses of Parliament Restoration and Renewal data governance system in a parallel timeframe.

Kaiasm don't just tackle data problems, they dissect them. As a client it's a joy to work with a team who relish an intellectual challenge, who can bring specialist methodologies to bear, but who above all else want understand what makes your organisation tick and how their work can be meaningful in your particular context.”

Ian Gordon, Head of Data, Houses of Parliament Restoration and Renewal

Screwfix

Using information demand to create uniquely effective product data and category taxonomies.

The challenge

As part of their digital transformation, Screwfix wanted to rebuild its product information management (PIM) and category structures from the ground up.

The solution

Kaiasm used high volume, unstructured data gathered from search engines to create an implicit information model for Screwfix’s domain of interest -- synonymising sets of search expressions and valuing them according to their frequency of expression into a well structured taxonomy of information and product demand.

Kaiasm then created an explorable model of Screwfix’s existing explicit category hierarchy and product information facets, and merged the two - implicit and explicit - to create a new, target data architecture.

Kaiasm then worked to provide Screwfix’s teams for merchandising, supply chain and data, with the software tools and training they needed to implement the new architecture, creating a human-centric, demand-focused data culture mindset within the organisation.

Results

The result was one of the most successful ‘bricks-and-clicks’ businesses in the country, tripling revenue over five years, and an information architecture and infrastructure still in profitable use to this day.

Kaiasm helped change the way we see our marketplace, and how we understand our customers. They show us what people want, in pictures. It’s brilliant and surprising. We buy and merchandise differently as a result.”

Andrew Livingston, CEO, Screwfix