[{"data":1,"prerenderedAt":420},["ShallowReactive",2],{"service:data-analytics-company:new":3,"services:data-analytics-company:technical-blog-posts":329,"services:data-analytics-company:client-logos":330,"services:data-analytics-company:contact-page":413,"services:data-analytics-company:projects":416,"services:data-analytics-company:technologies":417,"services:data-analytics-company:blog-posts":418,"services:data-analytics-company:blog-posts-latest":303,"services:data-analytics-company:testimonials":419},{"id":4,"title":5,"body":6,"clientLogos":54,"description":33,"extension":64,"h1":65,"h2":66,"largeCoverImage":67,"meta":68,"navigation":69,"pageSections":70,"path":288,"seo":289,"stem":293,"testimonial":294,"__hash__":302,"insights":303},"newServices\u002Fnew-services\u002Fdata-analytics-company.md","Data analytics company",{"type":7,"value":8,"toc":49},"minimark",[9,17,21,24,36,40,43,46],[10,11,13],"h2",{"id":12},"analysing-large-scale-complex-datasets-to-uncover-actionable-insights-for-data-driven-transformation",[14,15,16],"strong",{},"Analysing large-scale, complex datasets to uncover actionable insights for data-driven transformation.",[18,19,20],"p",{},"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.",[18,22,23],{},"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.",[25,26,29,30],"div",{"className":27},[28],"fullwidth-image","  ",[31,32],"img",{"alt":33,"src":34,"loading":35},"","\u002Fimg\u002Fservices\u002Faudacia-software-development-company-offices-19.jpg","lazy",[10,37,39],{"id":38},"delivering-full-lifecycle-data-analytics-from-planning-through-execution-implementation-and-optimisation","Delivering full lifecycle data analytics - from planning through execution, implementation and optimisation.",[18,41,42],{},"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.",[18,44,45],{},"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.",[18,47,48],{},"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.",{"title":33,"searchDepth":50,"depth":50,"links":51},2,[52,53],{"id":12,"depth":50,"text":16},{"id":38,"depth":50,"text":39},[55,56,57,58,59,60,61,62,63],"O2","National Institute for Health Research","Scania","Client Logo 1 ","ADM","Bellway","Engine Software Development Logo ","Client Logo 2 ","Northern Trains","md","Data Analytics","Deriving value from data through advanced analytics - unlocking patterns and empowering decisions across organisations.","\u002Fimg\u002Fservices\u002Faudacia-software-development-company-offices-15.jpg",{},true,[71,120,138,207,247,257],{"type":72,"statBlocks":73},"statBlocks",[74,87,98,109],{"id":75,"path":76,"title":77,"projectName":78,"smallCoverImage":79,"largeCoverImage":80,"coverImageColour":81,"about":82,"meta":83},"projects\u002Fprojects\u002Fadm-agriculture.md","\u002Fprojects\u002Fadm-agriculture","ADM Agriculture","A commodities trading platform to support £3.5bn contracts and services each year",null,"https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1565647952915-9644fcd446a4?ixlib=rb-1.2.1&ixid=MnwxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8&auto=format&fit=crop&w=2070&q=80","#f6e2c2","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. \n",{"statBlock":84},{"title":85,"text":86},"£3.5 billion","Commodity contracts and services supported for one of the world's largest agricultural organisations",{"id":88,"path":89,"title":90,"projectName":91,"smallCoverImage":79,"largeCoverImage":92,"coverImageColour":79,"about":93,"meta":94},"projects\u002Fprojects\u002Fthe-national-institute-for-health-research-nihr.md","\u002Fprojects\u002Fthe-national-institute-for-health-research-nihr","The National Institute for Health Research (NIHR)","A platform to manage £317m funding allocation each year","\u002Fimg\u002Fscreens\u002Fnihr-healthcare-worker.jpg","The National Institute for Health Research (NIHR) is the nation’s largest funder of health and care research, with a mission to improve the health and wealth of the nation, transforming people’s lives, promoting economic growth and advancing science.",{"statBlock":95},{"title":96,"text":97},"£317 million","Funding allocation managed each year for the nation’s largest funder of health and care research",{"id":99,"path":100,"title":101,"projectName":102,"smallCoverImage":79,"largeCoverImage":103,"coverImageColour":79,"about":104,"meta":105},"projects\u002Fprojects\u002Fjuniper-education.md","\u002Fprojects\u002Fjuniper-education","Juniper Education","Modernising a legacy application to track the progress of 1000+ pupils","\u002Fimg\u002Fscreens\u002Fjunipereducation.jpg","Juniper Education is a comprehensive education support service who provides software, training and professional services to Schools across the country.",{"statBlock":106},{"title":107,"text":108},"2.5 million","Pupils tracked across 12,000 UK wide schools",{"id":110,"path":111,"title":112,"projectName":113,"smallCoverImage":79,"largeCoverImage":114,"coverImageColour":79,"about":115,"meta":116},"projects\u002Fprojects\u002Faesseal-knowledge-management.md","\u002Fprojects\u002Faesseal-knowledge-management","AESSEAL - Knowledge Management","A knowledge management platform to support £170m in sales per year","\u002Fimg\u002Fscreens\u002Faudaciaaessealsoftwaredevelopment.jpg","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.\n",{"statBlock":117},{"title":118,"text":119},"£170 million ","Annual sales supported through a knowledge management platform for a global manufacturer ",{"type":121,"blocks":122,"title":136,"description":137},"topics",[123,128,132],{"showLink":124,"topic":125,"description":126,"title":127},false,"data-warehousing-and-data-management","Consolidating of data from various sources to ensure data quality, accessibility, and security for analytics.","Data Warehousing and Data Management",{"showLink":124,"topic":129,"title":130,"description":131},"big-data-analytics","Big Data Analytics","Analysing large, complex data sets using advanced techniques to uncover hidden patterns, unknown correlations, and other useful information.",{"showLink":124,"topic":133,"title":134,"description":135},"machine-learning-predictive-analysis","Predictive Analytics","Using machine learning algorithms to forecast future events based on historical data, helping organisations to anticipate outcomes and trends.","Delivering large-scale data analytics projects to empower decision making across organisations","Building powerful data analytics capabilities to transform operations and strategic planning.",{"type":139,"description":140,"title":141,"blocks":142},"technologies","From Snowflake and Databricks, to Spark and Fabric deliver large scale, complex data analytics projects.","Using industry standard tools and technologies",[143,151,159,167,175,183,191,199],{"showLink":124,"technology":144,"image":145,"darkImage":-1,"path":146,"doc":147,"title":150},"snowflake-data","\u002Fimg\u002Ftechnologies\u002Fsnowflake_logo.svg","\u002Ftechnologies\u002Fsnowflake-data",{"path":146,"meta":148,"stem":149,"title":150,"image":145,"darkImage":79},{},"technologies\u002Fsnowflake-data","Snowflake data",{"showLink":124,"technology":152,"image":153,"darkImage":-1,"path":154,"doc":155,"title":158},"databricks","\u002Fimg\u002Ftechnologies\u002Fdatabricks_logo.png","\u002Ftechnologies\u002Fdatabricks",{"path":154,"meta":156,"stem":157,"title":158,"image":153,"darkImage":79},{},"technologies\u002Fdatabricks","Databricks ",{"showLink":124,"technology":160,"image":161,"darkImage":-1,"path":162,"doc":163,"title":166},"apache-spark","\u002Fimg\u002Ftechnologies\u002Fapache_spark.svg","\u002Ftechnologies\u002Fapache-spark",{"path":162,"meta":164,"stem":165,"title":166,"image":161,"darkImage":79},{},"technologies\u002Fapache-spark","Apache Spark",{"showLink":124,"technology":168,"image":169,"darkImage":-1,"path":170,"doc":171,"title":174},"microsoft-fabric","\u002Fimg\u002Ftechnologies\u002Fmicrosoft_fabric.svg","\u002Ftechnologies\u002Fmicrosoft-fabric",{"path":170,"meta":172,"stem":173,"title":174,"image":169,"darkImage":79},{},"technologies\u002Fmicrosoft-fabric","Microsoft Fabric",{"showLink":124,"technology":176,"image":177,"darkImage":-1,"path":178,"doc":179,"title":182},"power-bi","\u002Fimg\u002Ftechnologies\u002Fpowerbi.svg","\u002Ftechnologies\u002Fpower-bi",{"path":178,"meta":180,"stem":181,"title":182,"image":177,"darkImage":79},{},"technologies\u002Fpower-bi","Power BI ",{"showLink":124,"technology":184,"image":185,"darkImage":-1,"path":186,"doc":187,"title":190},"sql-development-company","\u002Fimg\u002Ftechnologies\u002Fsql.svg","\u002Ftechnologies\u002Fsql-development-company",{"path":186,"meta":188,"stem":189,"title":190,"image":185,"darkImage":79},{},"technologies\u002Fsql-development-company","SQL development company",{"showLink":124,"technology":192,"image":193,"darkImage":-1,"path":194,"doc":195,"title":198},"mongo-db","\u002Fimg\u002Ftechnologies\u002Fmongodb.svg","\u002Ftechnologies\u002Fmongo-db",{"path":194,"meta":196,"stem":197,"title":198,"image":193,"darkImage":79},{},"technologies\u002Fmongo-db","Mongo DB",{"showLink":124,"technology":200,"image":201,"darkImage":-1,"path":202,"doc":203,"title":206},"azure-blob-storage","\u002Fimg\u002Ftechnologies\u002Fazureblobstorage.png","\u002Ftechnologies\u002Fazure-blob-storage",{"path":202,"meta":204,"stem":205,"title":206,"image":201,"darkImage":79},{},"technologies\u002Fazure-blob-storage","Azure blob storage",{"type":208,"title":209,"description":210,"tabs":211},"projectTabs","Delivering large-scale, complex data analytics projects for organisations across industries","Building powerful data analytics functions that provide the foundations for effective, data-driven decision making.",[212],{"name":213,"projects":214},"Projects",[215,226,236,74],{"id":216,"path":217,"title":218,"projectName":219,"smallCoverImage":79,"largeCoverImage":220,"coverImageColour":79,"about":221,"meta":222},"projects\u002Fprojects\u002F2m.md","\u002Fprojects\u002F2m","2M","Centralising distributed brands through cloud data integration","\u002Fimg\u002Fscreens\u002F2m.png","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.      ",{"statBlock":223},{"title":224,"text":225},"Centralised","view of subsidiary data in rebranded apps",{"id":227,"path":228,"title":229,"projectName":230,"smallCoverImage":79,"largeCoverImage":114,"coverImageColour":79,"about":231,"meta":232},"projects\u002Fprojects\u002Faesseal-product-data-centralisation.md","\u002Fprojects\u002Faesseal-product-data-centralisation","AESSEAL - Product Data Centralisation","Unlocking analytics by centralising product data across international sites","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.",{"statBlock":233,"hideFromSidebar":69},{"title":234,"text":235},"72x","Faster quotation speeds for complex configurations.",{"id":237,"path":238,"title":239,"projectName":240,"smallCoverImage":79,"largeCoverImage":241,"coverImageColour":79,"about":242,"meta":243},"projects\u002Fprojects\u002Fbellway-homes-enterprise-data-migration.md","\u002Fprojects\u002Fbellway-homes-enterprise-data-migration","Bellway Homes - Enterprise Data Migration","Migrating sales and financial data from legacy systems to new ERP platform","\u002Fimg\u002Fscreens\u002Faudaciabellwayhomessoftware.jpg","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.",{"statBlock":244,"hideFromSidebar":69},{"title":245,"text":246},"850,000","Sales and financial entities migrated from legacy systems to ERP platform",{"type":248,"testimonials":249},"testimonials",[250],{"path":251,"stem":252,"title":253,"companyName":254,"content":255,"largeCoverImage":256},"\u002Ftestimonials\u002Ftom-broadbent-aesseal-plc","testimonials\u002Ftom-broadbent-aesseal-plc","Tom Broadbent","AESSEAL plc","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.","\u002Fimg\u002Faesseal-cover-image.jpg",{"type":258,"description":259,"title":260,"insights":261},"insights","Insights on the latest industry developments and technology advancements within data engineering.","Our latest insights in delivering data engineering, migration, analytics and reporting projects",[262,269,275,281],{"path":263,"title":264,"author":265,"date":266,"image":267,"customExcerpt":268,"excerpt":79},"\u002Fblog\u002Fquestions-for-data-engineering-projects","3 Questions for Data Projects: Storage, Pipelines and Visualisations","Richard Brown","2024-02-08T10:12:11.202Z","\u002Fimg\u002Fblog\u002Fdataengineeringprojects_considerations.png","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.",{"path":270,"title":271,"author":33,"date":272,"image":273,"customExcerpt":274,"excerpt":79},"\u002Fblog\u002Faudacia-and-northern-launch-new-ai-chatbot","Audacia and Northern launch new AI WhatsApp chatbot for enhanced customer service","2023-10-02T14:57:29.159Z","\u002Fimg\u002Fblog\u002Faudacianorthernpr.jpg","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",{"path":276,"title":277,"author":265,"date":278,"image":279,"customExcerpt":280,"excerpt":79},"\u002Fblog\u002F3-considerations-for-ai-and-machine-learning-projects","AI Discovery: 3 Questions for Machine Learning Projects","2024-01-10T14:43:35.535Z","\u002Fimg\u002Fblog\u002Fmachinelearningprojectconsiderations.png","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.",{"path":282,"title":283,"author":284,"date":285,"image":286,"customExcerpt":287,"excerpt":79},"\u002Fblog\u002Fan-introduction-to-azure-openai-service-benefits-use-cases-and-best-practices","An introduction to Azure OpenAI Service: Benefits, use cases and best practices","Louis Dickinson","2023-04-26T08:02:48.820Z","\u002Fimg\u002Fblog\u002Findustry-azureopenai-service.png","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","\u002Fnew-services\u002Fdata-analytics-company",{"title":290,"keywords":291,"description":292},"Data Analytics Company | Data Analytics Consulting","Data Analytics Company, Data Analytics Consulting","Delivering end-to-end data analytics consulting and services to help companies make use of datasets across systems and processes.","new-services\u002Fdata-analytics-company",[295],{"path":296,"stem":297,"title":298,"companyName":299,"content":300,"largeCoverImage":301},"\u002Ftestimonials\u002Fsarah-thorp-the-national-institute-of-health-research-nihr","testimonials\u002Fsarah-thorp-the-national-institute-of-health-research-nihr","Sarah Thorp","The National Institute of Health Research (NIHR)","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.","\u002Fimg\u002Faudacianihrsoftwaredevelopment-2-.jpg","7hoUtTw8f2mqgoiBb8olshtOHe_T7tj0f11MDG3U-0M",[304,310,317,323],{"path":305,"title":306,"author":265,"date":307,"image":308,"customExcerpt":309,"excerpt":79},"\u002Fblog\u002Fuser-driven-development-in-digital-product-delivery","Building What Matters – Reducing the 80% Feature Waste in Product Delivery ","2026-04-29T13:54:52.396Z","\u002Fimg\u002Fblog\u002Fuser-driven-development.png","Half of everything software teams build is wasted. This is a consistent finding across multiple studies and decades of data, and it should be the starting point for any conversation about digital product delivery. This article looks at why technology projects consistently lose focus on user outcomes, what the evidence says about the impact of user-centred delivery, and how engineering leaders can build the discipline of tying every feature to genuine user value. ",{"path":311,"title":312,"author":313,"date":314,"image":315,"customExcerpt":316,"excerpt":79},"\u002Fblog\u002Fdata-foundations-for-scalable-ai","Enterprise Data Foundations: The Determinant of AI at Scale ","Ryan Crompton","2026-04-29T13:44:21.144Z","\u002Fimg\u002Fblog\u002Fdata-foundations-for-ai.png","Most enterprise AI projects stall not because the model fails, but because the data underneath is incomplete or inaccessible. This article sets out the five dimensions of AI data readiness, examines how data debt compounds across initiatives, and explores the architectural patterns that allow organisations to scale AI.",{"path":318,"title":319,"author":79,"date":320,"image":321,"customExcerpt":322,"excerpt":79},"\u002Fblog\u002Fwhat-ai-assisted-engineering-means-for-software-testing","What AI-Assisted Engineering Means for Software Testing ","2026-04-29T13:38:42.140Z","\u002Fimg\u002Fblog\u002Fai-engineering-impact-on-testing.png","AI coding tools are now embedded in most development workflows, but AI-generated code introduces more security vulnerabilities, duplication and critical defects than human-written code. This article examines the risks and the testing and governance practices engineering leaders need to capture the productivity benefits without accumulating quality debt.",{"path":324,"title":325,"author":33,"date":326,"image":327,"customExcerpt":328,"excerpt":79},"\u002Fblog\u002Faudacia-shortlisted-in-british-data-awards-2026","Audacia shortlisted in British Data Awards 2026","2026-03-27T14:51:16.422Z","\u002Fimg\u002Fblog\u002Fbritishdataawards2026-shortlisted.png","Audacia is shortlisted for AI Company of the Year at the 2026 British Data Awards. ",[],{"clientLogos":331},[332,334,336,338,341,343,345,348,351,354,357,360,363,366,369,372,375,378,381,384,387,390,393,396,399,402,405,407,409,411],{"img":333,"alt":55},"\u002Fimg\u002Fclient-logos\u002Fo2.png",{"img":335,"alt":56},"\u002Fimg\u002Fclient-logos\u002Fnhrs.png",{"alt":57,"img":337},"\u002Fimg\u002Fclient-logos\u002Fscania.png",{"alt":339,"img":340},"Persmmon","\u002Fimg\u002Fclient-logos\u002Fpersimmon.png",{"alt":59,"img":342},"\u002Fimg\u002Fclient-logos\u002Fadm.png",{"alt":60,"img":344},"\u002Fimg\u002Fclient-logos\u002Fbellway.png",{"alt":346,"img":347},"Pfizer","\u002Fimg\u002Fclient-logos\u002Fpfizer.png",{"alt":349,"img":350},"British Gypsum","\u002Fimg\u002Fclient-logos\u002Fbritish-gypsum.png",{"alt":352,"img":353},"Police and Crime Commissioner","\u002Fimg\u002Fclient-logos\u002Fpolice-and-crime-commissioner.png",{"alt":355,"img":356},"SMC","\u002Fimg\u002Fclient-logos\u002Fsmc.png",{"alt":358,"img":359},"E-Car","\u002Fimg\u002Fclient-logos\u002Fecar.png",{"alt":361,"img":362},"Story Homes","\u002Fimg\u002Fclient-logos\u002Fstoryhomes.png",{"alt":364,"img":365},"Aesseal","\u002Fimg\u002Fclient-logos\u002Faesseal.png",{"alt":367,"img":368},"Linde","\u002Fimg\u002Fclient-logos\u002Flinde.png",{"alt":370,"img":371},"Bridon Bekaert","\u002Fimg\u002Fclient-logos\u002Fbridon.png",{"alt":373,"img":374},"Innovative Trials","\u002Fimg\u002Fclient-logos\u002Finnovative-trials.png",{"alt":376,"img":377},"Enterprice Car Club","\u002Fimg\u002Fclient-logos\u002Fenterprisecarclub.png",{"alt":379,"img":380},"British Cycling","\u002Fimg\u002Fclient-logos\u002Fbritishcycling.png",{"alt":382,"img":383},"Crown Agents","\u002Fimg\u002Fclient-logos\u002Fcrownagents.png",{"alt":385,"img":386},"Mach Recruitment","\u002Fimg\u002Fclient-logos\u002Fmachrecruitment.png",{"alt":388,"img":389},"Aptus Utilites","\u002Fimg\u002Fclient-logos\u002Faptusutilities.png",{"alt":391,"img":392},"HSSMI","\u002Fimg\u002Fclient-logos\u002Fhssmi.png",{"alt":394,"img":395},"Yorkshire Gas and Electric","\u002Fimg\u002Fclient-logos\u002Fygp.png",{"alt":397,"img":398},"Masta","\u002Fimg\u002Fclient-logos\u002Fmasta.png",{"alt":400,"img":401},"Yorkshire Sport Foundation","\u002Fimg\u002Fclient-logos\u002Fyorkshire-sport.png",{"alt":403,"img":404},"TechBuyer","\u002Fimg\u002Fclient-logos\u002Ftechbuyer.png",{"alt":58,"img":406},"\u002Fimg\u002Fclient-logos\u002Fclientprojectlogo1.png",{"alt":61,"img":408},"\u002Fimg\u002Fclient-logos\u002Fengielogo.png",{"alt":62,"img":410},"\u002Fimg\u002Fclient-logos\u002Fclientprojectlogo2.png",{"alt":63,"img":412},"\u002Fimg\u002Fclient-logos\u002Fnortherntrainslogo.png",{"h1":414,"subtitle":415},"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.",[215,74,109,226,236,98,87],[163,203,155,171,195,179,147,187],[275,281,269,262],[295,250],1778145929168]