Vodafone Data Assurance

Vodafone is a leading global telecoms provider.

The Vodafone UK BI team is responsible for providing high-quality data and information products for the business to use. It covers a range of areas and critical performance indicators that the leadership team use to make the right decisions and drive change.

 Woman on phone
Blue Down Arrow

The challenge

Vodafone UK BI needed to provide greater assurance on the data that was used by the business as part of their Data Excellence programme.

This needed to have an automated and innovative approach to measuring the ‘quality’ of their data as it flowed through their various systems, including their enterprise data warehouse and onto the business-facing reports via a presentation tool.









How we did it

Using a combination of our process heritage and data analysis skills, we have created a cloud-based tool which maps and monitors the flow of data.

Treating the data as a ‘product’ we applied statistical and monitoring techniques to be able to assess the quality of the data through the various stages of its processing. This included enrichment, suspense, matching and staging.

The tool has been built from the ground up, utilising modern pipeline techniques to take daily snapshots of the core enterprise data warehouse and apply rules to understand the changes in data quality over time.


We continue to work with Vodafone in realising the full potential of the data assurance tool.

At present the tool is being used to:

  • Provide a kitemark of assurance on 5 key indicators.
  • Deliver high-level analysis of trends that can help understand reasons for falls in data quality.

We continue to build out new features that extend the reach to cover more indicators and use cases.

We are also building out ‘proof of concept’ projects to explore more advanced capabilities within the tool to help spot areas for predictive analytics.

View more case studies...

network rail

Network Rail Analytics

View case study
Previous Post: ABB Global Continous ImprovementNext Post: Network Rail Analytics