Make the most of digital data solutions that drive real insight.
Everything you need to collect, store, process, analyse and visualise big data.
Predictive and real-time analytics at your fingertips, enabling faster decision-making.
Get rid of large and expensive hardware, deploy and scale almost instantly.
Really get to know your customer so you can personalise their experience.
Streamline processes and deal with change simply and effortlessly.
Give your team the tools they need to be at their best.
Trial at speed, roll out projects even quicker.
Access even more data when you need it.
Secure environments that aren’t complex to manage.
As your trusted big data advisors, we can help you get more out of your data practice, both quickly and efficiently. We’ll be there right from the start, and we’ll be there on an ongoing basis if you need us too.
Discovery – We’ll get an understanding of your business and its requirements.
Delivery – We’ll work with your team to deliver a multi-layer data architecture that meets the needs we outlined together.
Training – We’ll give you all the training and support you need.
Continued support – Utilise us as and when you need us to continue to help your team make the most of the tools, and if your requirements have changed.
We trust Amazon Web Services because not only are they a leading cloud infrastructure platform, they are constantly adding new features, in fact 50+ services and hundreds of features each year. So we know your big data needs are covered.
Plus, there’s no need to procure, deploy and manage hardware like current, on-premises solutions.
Makes it easy to set up, operate, and scale a relational database in the cloud.
A fully managed, petabyte-scale data warehouse service in the cloud.
Lets you run code without provisioning or managing servers.
As well as using Amazon Web Services as your base, you’ll be able to take advantage of a range of tried and tested solutions and integrations.
Find out more about big data and cloud solutions by reading our blog.
Monitoring data comes in a variety of forms, and having monitoring data is a necessary condition for observability - being able to infer the inner workings of your systems.
Find out which which data to collect, and how to classify that data so that you can receive meaningful, automated alerts for potential problems and investigate any issues.