Data Engineering

Effective data strategy and all it enables to drive opportunity and minimise risk, requires an authority in data engineering.

The right modern data platform supported by well-designed data management can transform data from meaningless abstracts to actionable insights and fuel to drive AI. It becomes a foundation for efficiency and productivity.

We help our clients take a forward-learning approach to data engineering, creating robust, flexible foundations that build on existing capabilities to seamlessly handle the storage, integration, processing, analysis, interpretation, and utilisation of diverse data sets.

Real-time Data

Harnessing real-time data processing and analysis to enable timely and informed decision-making.

IoT and Machine Data

Leveraing Internet of Things (IoT) and machine data to uncover operational insights and inform product development.

Images and Videos

Analysis images and video data to unlock visual insights and enhance decision-making across industries.

Geospatial Data

Integrating and analysing geo-spatial data to drive location-based insights and strategic planning.

Structured and Unstructured Data

Combining structured and unstructured data to uncover a comprehensive understanding of the information landscape.

Big Data

Effectively managing and deriving value from big data to establish a key competitive advantage.

Data Management

Data Management Architecture and Design

Tailored to client needs, scalable and robust frameworks that ensure data integrity, efficient data flows and seamless integration with existing systems.

Capability Enablement Culture

Expert training and enablement, up-skilling workforce in data management practice, creating a culture of value for the power of data-driven decisions.

Ways of Working and Tooling

Contextual streamlining of existing processes, layering best practices and leveraging modern tools and technologies to enhance data management efficiency and effectiveness.

Process Enablement, Up-skilling and Automation

Liberate valuable time and resources with automation of repetitive manual tasks. Up-skilling to leverage advanced data management tools and techniques.

Modern Data Platforms

Ingestion and Transport

Efficient data capture and integration, regardless of source and ensuring a smooth transition from legacy to cloud systems.

Storage and Transformation

Data transformed and cleansed for accuracy, reliability and resilience. Scalable, flexible and reliable cloud-based data storage architectures.

Analysis and Output

Meaningful insights through powerful analytics capabilities including data visualisation, advanced analytics and AI-driven algorithms.

Governance

Robust cataloguing, metadata management and data lineage tracking to ensure compliance, security and privacy.

Data Engineering Client Stories

This image shows a coastal landscape with a road running along the shoreline. The beach is covered in yellow and brown vegetation, likely seaweed or other coastal plant life. The ocean is a vibrant turquoise color, creating a striking contrast with the sandy beach. In the foreground, there are several small trees or bushes lining the road, adding some greenery to the scene. The overall impression is of a remote, natural coastal area.

Data Engineering

5 min read time

Link to read case study

Centralising Data for a Remote Healthcare Provider

An example of a financial dashboard on laptop showing quarterly revenue growth with blue bar chart and green trend line, displaying values from $45M to $350M.

Data Engineering

5 min read time

Link to read case study

Data Platform Modernisation for Ansvar Insurance

Transform your data

Get in touch with our team to explore how we can get you in position with data and AI.