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Fueling Business Growth and Innovation with Data Insights

We specialise in providing  data-driven solutions for businesses, financial services companies, retailers, and consultancies. Our expertise lies in helping organisations harness the power of their data to unlock valuable insights, drive innovation, and ultimately boost profits. 

Fueling Business Growth and Innovation with Data Insights

We specialise in providing  data-driven solutions for businesses, financial services companies, retailers, and consultancies. Our expertise lies in helping organisations harness the power of their data to unlock valuable insights, drive innovation, and ultimately boost profits. 

Case Studies

With our comprehensive business and consulting services, we empower our clients to make informed decisions, optimise their operations, and stay ahead in today’s competitive landscape. 

Project: Our project with World Remit focused on processing new features that could serve as valuable signals in a machine-learning model, enabling the identification of potentially fraudulent transactions.

Outcome: We developed an enhanced fraud detection system, providing World Remit with the ability to identify and prevent fraudulent transactions more effectively, safeguarding their operations, and protecting their customers’ financial interests. We trained a suite of binary classifiers to tackle the challenge of imbalanced data, where fraudulent transactions are rare occurrences.

Project: Our core focus with Tails.com was to develop a product recommendation engine for targeted marketing. We  aimed to deliver personalised recommendations that would drive customer engagement and increase sales.

Outcome: We developed a live Python solution utilising collaborative filtering techniques to provide tailored, daily product recommendations for existing Tails.com customers. This led to increased revenue as well as provided Tails.com with key marketing insights, supporting better decision-making on product offerings and promotions.

 

Project: Our project focused on developing a recommendation engine to support analysts by suggesting highly relevant articles as valuable sources of insights for their clients.

Outcome: We developed an NLP model utilising Latent Dirichlet Allocation (LDA) topic modelling. This model effectively extracted and grouped topics, enabling the recommendation engine to provide analysts with targeted and insightful articles. Our solution empowered analysts to access a curated selection of articles, enhancing their research capabilities to deliver higher value to their clients

 

Types of Projects We Deliver

We recruit and support data scientists to deliver real-world data related projects for host organisations. They are are supervised by experienced Data Scientists who oversee delivery and ensure high performance.

Data & Software Engineering​

  • Data model design and implementation (e.g. ontology)

  • Data architecture definition and optimization (e.g. Graph DB)

  • Data health checks / unit testing

  • Continuous integration and deployment (i.e. automation)​

AI & Machine Learning

  • Anomaly or object detection

  • Forecasting and predictive modelling

  • Recommendation engines

  • Natural Language Processing (NLP)​

Analytics & Dashboards

  • Visual analytics solutions

  • Management Interface (MI) Dashboards

  • Recommendation engines

  • Automated reporting capabilities​