Do you have a defined strategy for using valuable data to improve your business processes, performance, and profitability?
Has your existing architecture expanded in response to growth or acquisition and now struggles to provide ROI?
That is where our team of data experts can help.
Building a data strategy is essential for organisations to achieve business goals in a world that is constantly evolving and innovating.
This includes defining the technology, process, people and rules to manage all data assets. Setting a clear data strategy provides a framework by which all decisions relating to data are made and the link to the business strategy. This gives everybody within your organisation a set of guidelines to help them with any decisions they have to make around data such as:
Our approach is to help you craft a practical data strategy for your organisation that is easy for all users to understand. We do this by following our data strategy framework:
A modern data architecture is the technical implementation of your data strategy. It defines how data is captured, stored, processed, and analysed to support the organisations business objectives.
We specialise in designing and implementing data systems that can handle large amounts of data, support real-time data processing, and enable advanced analytics and machine learning. A focus on data quality is a core principle as this is essential for actionable decision making with data.
We start by working with your internal team to assess the business needs, goals and objectives. Our process then focuses on your existing data architecture, identifies any gaps in future data requirements and provides a roadmap.
This involves creating a high-level design of the data systems, including the data models, data flow diagrams, and data processing workflows. We optimize data systems to ensure fast and reliable performance, enabling faster decision-making and insights. This is balanced with the key requirement to ensure the platform is secure, governed and compliant with relevant regulations.
Our data architects and engineers have extensive experience designing and implementing modern data architectures, and we stay up-to-date on the latest tools and technologies.
From experience we realise the modern stack is increasingly hybrid and needs to operate effectively across on-premises and cloud infrastructure to achieve expected ROI. We believe in working with your existing platform as far as possible, and recommend cloud based solutions where appropriate.
We know that no two businesses are the same. This is why when it comes to choosing which technology to use for your data, there often isn’t a clear answer.
We understand that your company is unique and we work with you to choose the right technology stack for your business including whether on-premise, hybrid or cloud is right and which complimentary technologies, proprietary and open-source, are available and best suited for the type of data you have and what you want to get out of that data.
We’ll help you work through the landscape and choose the best stack for your business goals.