Service

Data management hubs

Data management hub

Data management hubs are pivotal in the modern data ecosystem, serving as centralised nodes that facilitate the reception, storage, processing, and distribution of data arising from one or more connections. These hubs are engineered to handle vast quantities of data, ensuring efficient management and accessibility. A key feature of contemporary data management hubs is the incorporation of user-friendly interfaces and dashboards. These elements are designed to simplify the interaction between the user and the complex data processes running behind the scenes, making it easier for users to access, understand, and engage with their data effectively.

Full-stack web applications

Full-stack web applications

Full-stack web application development provides a comprehensive range of services that cater to both front-end and back-end components, crucial for constructing robust, user-centric applications. We typically synchronise the development of web applications with our...

Infrastructure design

Infrastructure design

Designing, deploying, and maintaining the IT infrastructure essential for your technology ecosystem. This infrastructure is typically implemented in cloud platforms like AWS or Azure, ensuring robust support for your technological needs.

AI data augmentation

AI data augmentation

We harness AI, Large Language Models, and real-time web searches to enhance your data, resulting in comprehensive, clean, and high-quality datasets that drive informed decision-making and contribute to business success.

Unified customer data

Unified customer data

In the modern business landscape, the integration of customer data from various origins is paramount for delivering personalised experiences and strategic insights. We bring together your data from CRM systems, social media interactions, transaction records, and...

Dataset merges

Dataset merges

Dataset merges, a cornerstone of data analysis, entail the unification of multiple datasets into a singular, comprehensive one. This process is vital for data enrichment, quality enhancement, and a more comprehensive understanding of the subject matter. However, it...

Custom APIs

Custom APIs

Custom APIs are tailored interfaces that facilitate seamless interaction between diverse software systems. They can either enhance existing vendor solutions or be built from the ground up, providing your organization with the specific functionality it needs.

Cross-platform data sharing

Cross-platform data sharing

Cross-platform data sharing encompasses a comprehensive approach to the extraction, secure transfer, and ingestion of data between various platforms. This process ensures that data remains intact and protected throughout its journey from one system to another....

Tableau workbooks

Tableau workbooks

Tableau workbooks are powerful tools for visualising large datasets, enabling business leaders and analysts to delve into their data with ease. With a well-crafted workbook, your colleagues can segment and interrogate their data to uncover valuable insights.

Smart categorisation

Smart categorisation

Smart data categorisation is a pivotal aspect of modern data analysis. By employing simple rules, advanced machine learning, or AI contexts, we can tailor the categorisation process to meet your specific needs.

Smart data cleanse

Smart data cleanse

Smart data cleansing is essential in today’s data-driven world. Our service ensures that your data undergoes a thorough refinement process, employing both rule-based and AI filters. This transforms disorganized and ambiguous data into an format tailored to your specific requirements.

Dashboards

Dashboards

Live reporting dashboards are essential tools for real-time data analysis and decision-making. Whether built in Tableau, embedded in SharePoint, or run as custom web applications, these dashboards provide interactive and visually compelling insights into key...

Regression analysis 

Regression analysis 

Correlation and regression analysis are fundamental statistical tools used to measure the strength and direction of the relationship between two or more variables. They are widely used for prediction and forecasting, where their use has substantial overlap with the field of machine learning.