We deliver services to help organisations implement modern data platforms that provide the foundations to become data-driven.
We provide full lifecycle enterprise data platform services - covering assessment and planning through to tailored implementation leveraging technology platforms including Snowflake, Databricks and Spark.
Our full lifecycle services encompass platform design, implementation, data integration, training and ongoing management - ensuring seamless delivery with no downtime or disruption to operations.
We initiate engagements by assessing your infrastructure, systems, use cases, constraints and target objectives to shape technical requirements and architecture foundations.
Leveraging extensive data platform experience, we deliver tailored solutions using leading cloud technology platforms that are purpose-built for performance, scalability and governance.
Our engineers consolidate disparate platforms, integrate distinct data sources and simplify fragmented architectures within a non-disruptive phased to delivery, as well as configuring dashboards to provide analytics and accessibility, empowering cross-functional self-service insights at enterprise scale.
We provide continuous assessment and optimisation through DataOps processes and practices, identifying platform and pipeline opportunities as needs evolve - ensuring systems scale sustainably. Overall delivering future-proofed, governed data platforms built on modern cloud infrastructure that support data-driven innovation through unified analytics.
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
Implementing enterprise 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.
Implementing data platforms and analytics capabilities with Snowflake, Databricks and Apache Spark.
From construction and manufacturing, to transport, chemicals and agriculture.
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.
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.
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.
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.
The way that we work is that we are subject matter experts, we know our business, we know our customers, we can then have that conversation with the team at Audacia. It is very much a collaborative 2 way process and the level of communication is just fantastic.
- Tom Broadbent, AESSEAL plc
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
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.
From start to finish the working relationship between Audacia’s team and ours was productive from the iterative development approach, meaning we worked in shorter time frames but increased levels of communication to ensure all updates were reviewed quicker. Audacia’s end platform delivered on all aspects.