Artificial Intelligence (AI)| Machine Learning (ML) |Data Intelligence Solutions

Guiding proactive decision-making and improving pre-emptive support using the latest Artificial Intelligence and Machine Learning products.

How we utilize Artificial Intelligence to increase efficiency

We have utilized Microsoft Azure Machine Learning Services and Azure Synapse Analytics to perform 1.5 trillion comparisons of property records to discover and analyse potential matches.

This AI approach, including Natural Language Processing (NLP) and Algebraic Modelling automated and accelerated the efficiency of matching properties. Delivering a better service, sooner for our clients.

By harnessing the power of Azure Machine Learning Services and Synapse Analytics, matching our client’s legacy stock data to the standard Royal Mail PAF database was reduced from weeks to hours.

We use a ‘double matching’ process. We pass our matched data through the Azure Machine Learning Service combine with Synapse to validate previous matches and update according to the latest insights – effectively double-checking previous matching and cleanse work with the latest, most up-to-date information, insight, and knowledge.

By using Azure Synapse Analytics as a powerful analytics and validation tool our matching process delivered better quality data, sooner.

Intelligent software is the organic evolution of how we already rely on technology to work more effectively. Sentinel delivers its benefits to empower organisations to provide more appropriate and targeted support services to the most vulnerable in society.

How our Artificial Intelligence matching works

We use Natural Language Processing (NLP) to convert any textual data to numbers and then we apply established Algebraic Modelling to convert these numbers to mathematical vectors. Since computers are exceptionally good at handling numbers rather than texts, we can utilise these numbers to understand which two texts are the most similar. In addition, matches come with a percentage confidence score, so we can quickly see the best match and, if necessary, make an additional judgement for how valid it is. This approach not only delivers the highest quality matching faster, it also allows us to benefit from AI whilst maintaining the control and expertise of our clients.

With this state-of-the-art approach to matching massive quantities of data in the cloud or on-premises, we deliver industry-leading data quality. The lift in productivity in our approach, compared to more conventional approaches like regular expressions (REs), can reduce weeks of processing to hours and can produce 'fuzzy' matches with normalised scores that can be understood and acted-upon by those that require access and input.

See our WHITE PAPER for further information about the benefits of our solution using Azure Synapse Analytics and Azure Machine Learning Services over the conventional Azure Database for Postgres.

See how: Empowering MDM With Efficient Data Matching


  • Radical speedup factor estimated at 600x
  • Matching times massively reduced. For example, for one particular client we were able to reduce processing time from 42 days to 1 hour 39 minutes
  • More intuitive confidence scores - cloud computing with advanced data processing is not only more efficient (faster) but also more effective

Transform data use in your organisation

Book your free data assessment today, and find out how much of an impact Sentinel's Master Data Management tools can have on your business.

  • Strict control and monitoring of data quality
    and completeness
  • Built using the ICO's "data protection by design"
  • Trusted by public sector organisations and local authorities
  • Experienced, dedicated team of data integration and data sharing specialists

Take the hassle out of data management. Call us on +44(0)800 612 2116 or email us [email protected].