Data Science & Architecture
Making data work for your business.
We extract information from existing data sets in order to determine patterns and predict future outcomes and trends.
Our team can explore and analyse structured and domain specific information to identify the trends and patterns required to derive insights for your business.
We have developed proven techniques for processing high volumes of “at rest” data that is collected over a period of time.
We help our clients visualise their data using a variety of dashboard tools such as Qlik and Tableau, and bespoke web technologies such as d3 and threejs.
Big Data Architecture
We can advise on common pitfalls for big data architectures and apply best in breed technologies and designs to mitigate them.
Choosing the Right Technology
We don’t use technology for the sake of it. We will always advise you on the best technology to suit your requirements and leverage your existing investments.
Big Data Architecture
We can help you to understand the challenges that working with big data presents and recommend and implement the most suitable technologies.
Mobile Network Operator Data
We can help Mobile Network Operators to capture, analyse and visualise their data in both real-time and as part of historical analysis. Our team advises our clients on the most appropriate technologies to use for working with network data and produces blueprints, high level and low levels designs to support larger System Integrators.
Big Data Proof of Concepts
Our team specialises in helping organisations design, develop and deploy Proof of Concepts that test their big data architecture principles and allow them to evolve their strategy. We can accelerate Minimum Viable Products and realise client requirements in an agile, rapid manner.
Data Science Unlocks Your Data's Potential
Finding and unlocking the patterns and insights in your data is where data science enables businesses to realise and monetise value. As well as our own products we can offer services and experience across a broad range of data science domains.
We work with clients to help them understand their customers, utilising the data they generate. We have specialised in customer profiles and segmentation, customer churn, sentiment analysis and competitor analysis.
Our team also work in the more traditional Business Intelligence space, using Data Science to bring this area up-to-date with modern high volume data warehousing and querying techniques. We help our clients with various analytics studies such as marketing, supply chain, sales and retail.