Data Science & Data Engineering

Data Engineers create robust and scalable infrastructure and pipelines to collect, store and process data. They build and maintain systems that allow data to be accessed throughout the business.

Data Scientists use the data prepared by Data Engineers to perform deep analysis to answer business questions and create data solutions using predictive modelling and machine learning.

Any area relying on data-driven answers can benefit from predictive modelling. Predictive modelling can forecast measures such as sales and demand, helping a business to pre-emptively allocate resources and optimise strategies. Several risk management processes rely on predictive models to support strategic decisions. It can also help businesses to detect and prevent fraud and anomalies through pattern matching.

With the introduction of Cloud technologies, the choice of tooling used to implement Data Engineering is vast. Our consultants have experience with many on-premise and Cloud solutions. This can enable us to help build Data Engineering processes using the business’s current tooling, or alternatively, compare the suitability of different tools and help you to choose the best option for your business going forward.