[{"data":1,"prerenderedAt":388},["ShallowReactive",2],{"service:data-platform-consulting:new":3,"services:data-platform-consulting:technical-blog-posts":297,"services:data-platform-consulting:client-logos":298,"services:data-platform-consulting:contact-page":381,"services:data-platform-consulting:projects":384,"services:data-platform-consulting:technologies":385,"services:data-platform-consulting:blog-posts":386,"services:data-platform-consulting:blog-posts-latest":271,"services:data-platform-consulting:testimonials":387},{"id":4,"title":5,"body":6,"clientLogos":60,"description":36,"extension":70,"h1":71,"h2":72,"largeCoverImage":73,"meta":74,"navigation":75,"pageSections":76,"path":256,"seo":257,"stem":261,"testimonial":262,"__hash__":270,"insights":271},"newServices\u002Fnew-services\u002Fdata-platform-consulting.md","Data platform consulting",{"type":7,"value":8,"toc":55},"minimark",[9,17,21,24,27,39,43,46,49,52],[10,11,13],"h2",{"id":12},"implementing-unified-governed-data-foundations-leveraging-leading-technology-platforms-to-empower-data-driven-organisations",[14,15,16],"strong",{},"Implementing unified, governed data foundations leveraging leading technology platforms to empower data-driven organisations.",[18,19,20],"p",{},"We deliver services to help organisations implement modern data platforms that provide the foundations to become data-driven.",[18,22,23],{},"We provide full lifecycle enterprise data platform services - covering assessment and planning through to tailored implementation leveraging technology platforms including Snowflake, Databricks and Spark.",[18,25,26],{},"Our full lifecycle services encompass platform design, implementation, data integration, training and ongoing management - ensuring seamless delivery with no downtime or disruption to operations.",[28,29,32,33],"div",{"className":30},[31],"fullwidth-image","\n  ",[34,35],"img",{"alt":36,"src":37,"loading":38},"","\u002Fimg\u002Fservices\u002Faudacia-software-development-company-offices-7.jpg","lazy",[10,40,42],{"id":41},"delivering-end-to-end-capabilities-from-assessment-validation-and-planning-through-to-low-risk-implementation-data-integration-and-self-service-enablement","Delivering end-to-end capabilities- from assessment, validation and planning through to low-risk implementation, data integration and self-service enablement.",[18,44,45],{},"We initiate engagements by assessing your infrastructure, systems, use cases, constraints and target objectives to shape technical requirements and architecture foundations.",[18,47,48],{},"Leveraging extensive data platform experience, we deliver tailored solutions using leading cloud technology platforms that are purpose-built for performance, scalability and governance.",[18,50,51],{},"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.",[18,53,54],{},"We provide continuous assessment and optimisation through DataOps processes and practices, identifying platform and pipeline opportunities as needs evolve - ensuring systems scale sustainably. 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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":123},{"title":124,"text":125},"£170 million ","Annual sales supported through a knowledge management platform for a global manufacturer ",{"type":127,"title":128,"description":129,"blocks":130},"topics","Delivering tailored solutions using leading cloud technology platforms","Implementing enterprise data platforms that provide the foundations for effective analytics and decision making.",[131,136,140],{"showLink":132,"topic":133,"title":134,"description":135},false,"data-storage","Data Storage","Identifying optimal architectures to store and organise data based on volumes, variety and velocity to meet processing and storage needs.\n",{"showLink":132,"topic":137,"title":138,"description":139},"data-integration","Data Integration","Extracting data from various source systems to cleanse, validate, combine, reshape and process as needed to create unified datasets for analysis.",{"showLink":132,"topic":141,"title":142,"description":143},"data-transformation","Data Transformation","Shaping, conforming, aggregating and contextualising raw data to make data more accessible and ingestible by downstream systems.",{"type":145,"title":146,"description":147,"blocks":148},"technologies","Leveraging industry leading cloud platforms","Implementing data platforms and analytics capabilities with Snowflake, Databricks and Apache Spark.",[149,158,167],{"showLink":132,"technology":150,"title":151,"image":152,"darkImage":-1,"path":153,"doc":154},"snowflake-data","Snowflake","\u002Fimg\u002Ftechnologies\u002Fsnowflake_logo.svg","\u002Ftechnologies\u002Fsnowflake-data",{"path":153,"meta":155,"stem":156,"title":157,"image":152,"darkImage":85},{},"technologies\u002Fsnowflake-data","Snowflake data",{"showLink":132,"technology":159,"title":160,"image":161,"darkImage":-1,"path":162,"doc":163},"databricks","Databricks","\u002Fimg\u002Ftechnologies\u002Fdatabricks_logo.png","\u002Ftechnologies\u002Fdatabricks",{"path":162,"meta":164,"stem":165,"title":166,"image":161,"darkImage":85},{},"technologies\u002Fdatabricks","Databricks ",{"showLink":132,"technology":168,"title":169,"image":170,"darkImage":-1,"path":171,"doc":172},"apache-spark","Apache Spark","\u002Fimg\u002Ftechnologies\u002Fapache_spark.svg","\u002Ftechnologies\u002Fapache-spark",{"path":171,"meta":173,"stem":174,"title":169,"image":170,"darkImage":85},{},"technologies\u002Fapache-spark",{"type":176,"title":177,"description":178,"tabs":179},"projectTabs","Delivering large-scale, complex data projects to organisations across industries","From construction and manufacturing, to transport, chemicals and agriculture.",[180],{"name":181,"projects":182},"Projects",[183,193,204,80],{"id":184,"path":185,"title":186,"projectName":187,"smallCoverImage":85,"largeCoverImage":120,"coverImageColour":85,"about":188,"meta":189},"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":190,"hideFromSidebar":75},{"title":191,"text":192},"72x","Faster quotation speeds for complex configurations.",{"id":194,"path":195,"title":196,"projectName":197,"smallCoverImage":85,"largeCoverImage":198,"coverImageColour":85,"about":199,"meta":200},"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":201},{"title":202,"text":203},"Centralised","view of subsidiary data in rebranded apps",{"id":205,"path":206,"title":207,"projectName":208,"smallCoverImage":85,"largeCoverImage":209,"coverImageColour":85,"about":210,"meta":211},"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":212,"hideFromSidebar":75},{"title":213,"text":214},"850,000","Sales and financial entities migrated from legacy systems to ERP platform",{"type":216,"testimonials":217},"testimonials",[218],{"path":219,"stem":220,"title":221,"companyName":222,"content":223,"largeCoverImage":224},"\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":226,"title":227,"description":228,"insights":229},"insights","Our latest insights in delivering data engineering, migration, analytics and reporting projects","Insights on the latest industry developments and technology advancements within data engineering.",[230,237,243,249],{"path":231,"title":232,"author":233,"date":234,"image":235,"customExcerpt":236,"excerpt":85},"\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":238,"title":239,"author":36,"date":240,"image":241,"customExcerpt":242,"excerpt":85},"\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":244,"title":245,"author":233,"date":246,"image":247,"customExcerpt":248,"excerpt":85},"\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":250,"title":251,"author":252,"date":253,"image":254,"customExcerpt":255,"excerpt":85},"\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-platform-consulting",{"title":258,"description":259,"keywords":260},"Data Platform Consulting | Enterprise Data Products","Provide full lifecycle enterprise data platform consulting - from assessment and planning, to tailored implementation leveraging Snowflake, Databricks and Spark.","Data Platform Consulting, Enterprise Data Products, Data Consultancy","new-services\u002Fdata-platform-consulting",[263],{"path":264,"stem":265,"title":266,"companyName":267,"content":268,"largeCoverImage":269},"\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","UjDckvJ0IsQa-0lg_JOUGJwWz-i417tA0os0JD5lixA",[272,278,285,291],{"path":273,"title":274,"author":233,"date":275,"image":276,"customExcerpt":277,"excerpt":85},"\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":279,"title":280,"author":281,"date":282,"image":283,"customExcerpt":284,"excerpt":85},"\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":286,"title":287,"author":85,"date":288,"image":289,"customExcerpt":290,"excerpt":85},"\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":292,"title":293,"author":36,"date":294,"image":295,"customExcerpt":296,"excerpt":85},"\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. 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We'll discuss your challenges and goals and see whether we could be a good fit for delivery.",[193,80,115,183,204,104,93],[172,163,154],[243,249,237,230],[263,218],1778145929285]