Archives for Case Studies

Transforming Data Analytics in the UK Public Sector with Synthetic Data: NIAXO’s 10-Week Success Story

Transforming Data Analytics in the UK Public Sector with Synthetic Data: NIAXO’s 10-Week Success Story In today’s data-driven landscape, public sector organisations in the UK face the unique challenge of extracting valuable insights from their data whilst navigating stringent security protocols. When sensitive information is involved, innovation can be hindered…

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DaSH Architecture

In May 2020, as the Covid-19 pandemic was gripping the UK, the Government initiated a new department hosted by the Cabinet Office, to start to process the vast amounts of date related to the outbreak...

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Business Change

NIAXO’s solution was to take a one team approach; a holistic platform-focussed group of specialists integrated with platform users to provide flexible Business Change engagement to suit their needs...

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A Study in Agility

To build a data analytics platform at pace in an ever-changing environment with multiple users and stakeholders...

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User Engagement

NIAXO was asked to gather requirements for a Data Governance capability that would allow customers to fully understand the provenance and lineage of data used for decision making...

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Training

To help make better sense of and better decisions within a fast-paced, rapidly changing environment, the client needed guidance and solutions for its Data Science Hub training needs...

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The Qlik Story

To provide a secure, market leading visualisation tool able to interrogate, present and share data analytical trends, directly to Her Majesty’s Government, for the national COVID-19 response...

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The Data Story

NIAXO was asked, as part of a platform architecture build, to support automated and manual data ingest methods and establish, maintain and govern active data feeds for use by data scientists and analysts. The range of data requirements was extensive.

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Security Case Study (DaSH)

To allow the business to function whilst ensuring the platform and the data used is (proportionately) secure from attack.

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