Data engineering, analytics and AI

We access, organise, integrate, migrate and visualise complex data sets. We have established methods and leverage best-practice technologies to uncover insights and enable better decision-making.

From data strategy to migration and everything in between.

Data Engineering

We specialise in data engineering through a range of data engineering services to help you manage your data more effectively, including data modelling, pipeline development, warehousing, integration, and quality assurance.

Strategy & Architecture

Developing a data-driven approach to your business operations, including defining governance policies, identifying key data assets, developing architecture and roadmaps, and implementing management frameworks.

Data Security

We provide comprehensive data security services to help you protect your data assets from unauthorised access, use, and disclosure, including risk assessments, security audits, policy development, security controls, and incident response planning.

Artificial Intelligence

Turning your data into actionable insights and recommendations, using AI and advanced analytics techniques such as machine learning, data mining, and predictive modelling, to drive business growth and innovation.

Data Integration

Unifying your data from disparate sources, integrate new data sources, and ensure data quality and consistency, using modern ETL and integration tools and techniques. We help you treat your data assets like products.

Data Governance

Establishing data management policies and standards, including data quality management, metadata management, data lineage, and compliance monitoring, to ensure the accuracy, completeness, and security of your data.

Business Intelligence

Helping you gain insights and visibility into your business performance, using interactive dashboards, reports, and visualisations to support informed decision-making and operational efficiency.

Data Migration

We help you transfer data from legacy systems to modern platforms, using proven methodologies, tools, and techniques, while ensuring data quality, security, and compliance throughout the process.

Enabling data-driven decision making in complex environments

Enabling a data-driven and AI-ready strategy is core to our data practice’s purpose. We use data to describe, baseline and measure the benefits of our digital solutions, we use data to complete our design-led research. We use data to compile and compare solution options. Our data practice approaches engagements with the business objective in mind; we seek to balance architecture alignment, emerging technologies and our own thought leadership to deliver value quickly. 

Partnering with Microsoft, Databricks, and Snowflake, we are able to quickly establish modern data platforms, aggregate and integrate complex data sets and engineer complicated data migrations. 

Our partners

In partnership with Databricks, Snowflake and Microsoft, we have smart solutions to deliver across all customer journeys and to connect customers to your enterprise platforms. Our approach combines our award-winning experience design capability with best-of-breed technology to create a set of fit-for-purpose, high-value and fast-to-implement solutions.

Technology we love to work with

Databricks
Databricks
AWS
AWS
Azure
Azure
Power BI
Power BI
Python
Python
Dynamics 365
Dynamics 365
Snowflake
Snowflake
Power Apps
Power Apps