We deliver end-to-end data analytics services to help organisations make use of datasets across systems and processes - ensuring data informs objectives from daily operations, to strategic planning.
Leveraging leading techniques in statistical, visual and machine learning analysis, we help surface trends, correlations and forecasts from complex disconnected datasets, providing the foundations for data-driven transformation.
We initiate engagements by identifying key questions and decisions data should empower across business areas like sales, supply chains, procurement and production, identifying what data you have and what data you need to inform the who, what, when, where and how.
At initial project stages, our data engineers ingest data from various data sources to then store, prepare, cleanse and aggregate datasets to perform advanced analytics. Using modern, sophisticated tools and techniques and approaches to analyse and interpret large scale, complex data sets, we deliver solutions to uncover valuable insights, patterns and trends.
The output - transforming raw data into contextualised information in the form of automated reports, interactive dashboards and predictive analytics engines that are integrated across workflows to empower decision making throughout organisations.
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
Building powerful data analytics capabilities to transform operations and strategic planning.
Consolidating of data from various sources to ensure data quality, accessibility, and security for analytics.
Analysing large, complex data sets using advanced techniques to uncover hidden patterns, unknown correlations, and other useful information.
Using machine learning algorithms to forecast future events based on historical data, helping organisations to anticipate outcomes and trends.
From Snowflake and Databricks, to Spark and Fabric deliver large scale, complex data analytics projects.
Building powerful data analytics functions that provide the foundations for effective, data-driven decision making.
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.
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.
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.
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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.
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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.