As organisations gather and the store more and more data, many run the risk of outgrowing their data infrastructure. Many deal with large volumes of data from multiple sources, but struggle to have a cohesive view.
We engineer and integrate Data Platforms that enable our clients to become data-driven organisations. We enable them to uncover new insights that deliver gains in better, faster decision making to drives growth, efficiency, innovation and competitive advantage.
Organisations adopting a modern, microservices platform to run business functions such as eCommerce can find their data siloed without a centralised home for capturing and making sense of events and behaviours.
Enterprises with a need to react swiftly to business events will have more flexibility, relevance and access than a traditional data warehouse provides.
Making diagnostics and analysis on bulk data gathered across off the shelf, SaaS and bespoke system solutions more efficient, faster and more credible.
Give your data science team confidence in the fidelity and reliability of the data source so that models and predictions hold their weight and maximise value.
Data Platforms and tools that give faster and wider access to reporting, including integration of real-time data from IoT devices to spot issues and resolve them quickly.
Manufacturing – or any enterprise with number of IoT devices that are often dispersed - can lack the infrastructure to capture the volume of streamed data from the field, where Data Lake Platforms can manage both the quantity and the quality variations of data across a large organisation.
Effective data lake architecture – which separates storage of data from analysis or modelling tools – consumes your streamed structured or unstructured data from multiple sources and makes it infinitely accessible, reusable and ready for interrogation.
With data captured in its rawest form, businesses can access a single source for analysis of historical data and run effective data science practices to model and build business strategies and evolve plans.
We give our clients broad access to insight from as many data sources as the organisation needs, with increased efficiencies delivering a competitive edge.
Self-service for users allows them to use machine learning and advanced analytics to generate their own data analysis and reports, with no technical knowledge needed.
Investing in proper, fit-for-future data management architecture gives businesses flexibility to ask different questions and make better decisions. We help you benefit from new insights without needing to change your data architecture through an agile design approach that allows you to add new streams of data as they emerge.
Microservices introduce a level of simplicity, agility and freedom that hasn’t been possible with previous, monolithic architecture.
We work with clients to deconstruct system design down into manageable, independent, loosely coupled microservices – giving their businesses the opportunity to scale and flex offerings to meet demand, upgrade or swap out capabilities with minimum risk.
As much as 90% of the data businesses gather is unstructured, unreadable, unmanageable and, therefore, largely unused.
We help organisations transform unstructured digital content into searchable data through the use of Artificial Intelligence (AI). We help our clients to use data to drive the strategic and operational decisions that are essential for business success.