We are big fans of keeping things simple and removing the hype that surrounds modern data processing. While we enjoy using the latest technology for building highly scalable data processing platforms, we will also let our clients know if what they actually need is a database with a reporting package over the top.
These are the types of software we have built for our clients:
Getting the correct data in to systems, whether that be from IoT devices, disparate enterprise systems or web analytics is key to the success of any data project.
Building scalable databases that aggregate over multiple data sources and provide fast, intuitive data for expert analysis.
Providing key decision makers with actionable data, at the right time in the right format through accessible software both in the office and away.
Enabling data scientists and analysts to spend their time generating insight, instead of collecting and cleaning the data, allows organisations to respond quicker.
Automating or augmenting repetitive work and decisions is the goal of AI. How do you use vast quantities of data to understand your customers and provide better service automatically.
Gaining insight from your current data is great but how do you know whether your decisions will have the right impact. Simulation or model based scenario planning can cast light on what your decisions will actually do.
Technology is ever changing. While we like to keep our fingers on the pulse, we recognise that creating technological transformation is about more than just the technology.
Building software that is easy to change, even at the architectural level has been difficult historically. This article looks at methods for embracing change through the software stack.
When building a new product or a new service how do you know that it is any good? Is it better than what it replaces?
DevSecOps is the realisation that incorporating security considerations in to DevOps is key to maximising the efficiency of software development.