Data Engineering
Delivering scalable and reliable data pipelines to extract value, generate analytics and enable effective decision making.
Partnering with leading organisations to consolidate, process and aggregate data for improved analytics and decision making.
From aggregating and consolidating large-scale product datasets across international sites into a centralised location for a global industrial manufacturer, to integrating large amounts of chemical product data from multiple disparate systems for a global material and life sciences organisation.
We work in collaboration with organisations to deliver large-scale complex data engineering projects that establish data foundations, unlock value and provide the insights required for effective decision making.
Delivering complex data transformation programmes covering data storage, integration and transformation to develop intelligent reporting and leverage machine learning capabilities.
Data is at the core of many decisions that organisations make. Good data helps organisations optimise production processes, improve product quality, enhance supply chain management and, ultimately, drive better decision making. With rich sources of aggregated data enabling the ability to gain better insights across operations — from customers and production processes to finance and logistics.
We work with leading organisations to help them become data-driven, from identifying data sources, mapping integrations and selecting data storage solutions, to data integration, transformation and visualisation.
Our approach helps organisations to determine the optimal architecture to store and organise data, assessing current data volumes, variety and velocity to identify the appropriate infrastructure needed to meet processing and storage needs — from data lakes, to data warehouses and data lakehouses, implementing tools such as Snowflake, Databricks and Apache Spark.
Once data is aggregated, we help to implement the processes needed to govern data use and provide oversight, establishing data ingestion protocols that map data sources and cleanse, validate and integrate data through ETL or ELT pipelines.
We’ll work with you to define the insights you need to guide decisions around improving quality, efficiency and throughput, in order to align visualisations to critical business objectives. Connecting transformed datasets to analytics and visualisation tools such as PowerBI or Tableau to create interactive dashboards to make key, real-time insights accessible for stakeholders across your organisation.
Commodity contracts and services supported for one of the world's largest agricultural organisations
Funding allocation managed each year for the nation’s largest funder of health and care research
Pupils tracked across 12,000 UK wide schools
Annual sales supported through a knowledge management platform for a global manufacturer
Delivering large-scale data engineering projects to organisations across industries
Building powerful data platforms that provide the foundations for effective analytics and decision making.
Identifying optimal architectures to store and organise data based on volumes, variety and velocity to meet processing and storage needs.
Extracting data from various source systems to cleanse, validate, combine, reshape and process as needed to create unified datasets for analysis.
Shaping, conforming, aggregating and contextualising raw data to make data more accessible and ingestible by downstream systems.
Using industry standard tools and technologies
From Snowflake and Databricks, to Microsoft PowerBI and Fabric to deliver end-to-end large-scale and complex data engineering projects.
Helping organisations across industries to become data-driven
From manufacturing and construction, to agriculture and public transport.
AESSEAL is the fourth largest mechanical seal manufacturer in the world, hitting a record of £170 million turnover last year, with offices in 104 countries, with their focus on customer service and quality seeing them grow year on year since they were established in 1979.
Bellway Homes is one of the UK’s most successful house builders. With over 16,000 new homes built annually across 380 locations, Bellway maintains its commitment to high-quality design and service even amid continued expansion.
The 2M Group of Companies focuses on delivering high-quality chemistry-based solutions that make lives healthier today and better tomorrow. The group maintains a portfolio of material & life science companies, which includes CE-02, Banner Chemicals, Ingretech, MP Storage & Blending, Packed Chlorine, SampleRite, Stowlin & Surfachem.
ADM Agriculture is a UK subsidiary of ADM, one of the world’s largest agricultural processors and food ingredient providers, with more than 31,000 employees, serving customers in 170+ countries.
They are a key business partner because of their high-quality work and its impact on our business. Our organisation believes that quality is key, and we’ve found that Audacia buys 100% into that. They always try to meet our requirements, no matter how challenging.
- George Thomson, Story Homes
Our latest insights in delivering data engineering, migration, analytics and reporting projects
Insights on the latest industry developments and technology advancements within data engineering.
Data is at the core of many decisions that organisations make. Good data helps organisations optimise production processes, improve product quality, enhance supply chain management and, ultimately, drive better decision making. We outline three question areas before beginning data projects.
Software development company, Audacia, has partnered with Northern, one of the UK's largest rail operators, to launch an innovative new AI-powered chatbot on WhatsApp
Organisations have various factors to consider when beginning AI and machine learning projects. Here we cover 3 questions around data types, data outputs and model selection within the discovery phase of machine learning projects.
Azure OpenAI Service offers a wide range of models with different capabilities and price points, including the latest GPT-4 models currently in preview. Here we look at how Azure OpenAI Service works in more detail and evaluate the benefits, use cases and best practices
AESSEAL is the fourth largest mechanical seal manufacturer in the world, hitting a record of £170 million turnover last year, with offices in 104 countries, with their focus on customer service and quality seeing them grow year on year since they were established in 1979.
Talk To Us
As a first step in the process, we offer a free consultation around your current setup. We'll discuss your challenges and goals and see whether we could be a good fit for delivery.
