Top Cloud-Based Analytics Companies in the UK to Power Your Data Insights

  • Updated on אוגוסט 20, 2025

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    Finding the right cloud analytics partner isn’t always straightforward. With so many companies promising all kinds of features and solutions, it can be tough to figure out who’s actually going to deliver what you need. That’s exactly why we’ve put together this list – to highlight some of the top cloud-based analytics companies in the UK that combine solid tech with a practical, people-first approach. Whether you’re building out your data strategy for the first time or looking to level up what you’ve already got, these firms are well worth checking out. Let’s take a closer look.

    1. A-Listware

    At A-Listware, we work closely with businesses across different industries to deliver cloud solutions that are actually useful – not just flashy tech for the sake of it. While we’re based in the U.S., we’ve had plenty of hands-on experience supporting companies in the UK, and we understand the nuances that come with that. Our thing is building out extended teams that slot right into your setup. Whether you’re trying to sort out messy legacy systems, beef up your data analytics, or build cloud apps from scratch, we stick with you from kickoff to rollout and beyond. No dumping the project and vanishing.

    Over the years, we’ve gotten pretty sharp at finding and supporting cloud specialists who know their stuff and can actually get things done. Cloud analytics is one piece of what we offer, but it’s all tied into a broader set of development and consulting services. We’re not just here to show you charts – we care about how those insights work in the context of your daily operations, your team, and the goals you’re chasing. Our whole mission is to make tech work for you – not make your life more complicated.

    נקודות עיקריות:

    • Experience integrating cloud analytics into real-world operational contexts
    • Flexible engagement models, from full teams to specific expertise
    • Strong focus on secure development and IP protection
    • Access to a large candidate pool vetted for both skill and fit
    • Seamless communication and direct support throughout projects

    שירותים:

    • פיתוח אפליקציות ענן
    • ניתוח נתונים
    • Infrastructure Management and Support
    • מיקור חוץ של פיתוח תוכנה
    • צוותי פיתוח ייעודיים
    • פתרונות למידת מכונה ובינה מלאכותית
    • עיצוב ממשק משתמש/UX
    • אבטחת איכות ובדיקות
    • דלפק תמיכה ותמיכה ב-IT
    • שירותי אבטחת סייבר

    פרטי קשר:

    2. CACI

    CACI helps organisations move away from outdated, clunky on-premise systems and transition into cloud-based analytics setups that are actually built for flexibility and scale. They work with a pretty wide range of sectors – including public ones like the NHS – and focus on helping teams get quick, reliable access to the data they need, without dealing with constant system upkeep. The main idea is to make data accessible and usable for people across the organisation, wherever they happen to be working. In short, they want companies to spend less time babysitting their systems and more time making smart, data-backed decisions.

    What sets them apart is that they don’t just toss you a software package and call it a day. Their platform and consulting teams roll up their sleeves and work with you to pull in all your data sources, set up proper governance, and build a system that can grow with your business. They’re big on getting things secure and compliant too – especially important when dealing with sensitive info. It’s less about flashy tools and more about helping people actually make sense of their data without giving them a headache in the process.

    נקודות עיקריות:

    • Focus on accessibility of insights across teams and departments
    • Infrastructure and software updates handled automatically
    • Built-in data governance features for accountability and access control
    • Experience working with public sector, especially healthcare
    • Modular architecture designed to adapt to changing needs

    שירותים:

    • Cloud Data Analytics
    • Cloud Architecture Consulting
    • Data Visualisation
    • Business Intelligence Integration
    • Analytical Applications
    • NHS-specific platforms (e.g. InView, Synergy)
    • Data Governance and Compliance Support

    פרטי קשר:

    • Website: www.caci.co.uk
    • LinkedIn: www.linkedin.com/company/caci-ltd
    • Address: Kensington Village, Avonmore Road, London, W14 8TS
    • Phone: +44 (0)20 7602 6000

    3. קוויליק

    Qlik is all about giving everyday business users more control over their data – no need to be a tech whiz to make sense of it. Their platform works both in the cloud and in hybrid setups, so companies can decide how and where they want to store and analyze their data. One of the coolest things about Qlik is how it connects data from all sorts of sources and uses AI tools to help turn that jumble into clear, actionable insights. It’s not just your usual dashboards either – they’ve got predictive and even generative AI features that help you make smarter decisions on the fly.

    What really stands out is how Qlik brings insights right where you need them. You can dive into your data within the tools you already use, whether that’s on your laptop, phone, or even inside other apps. Their engine uses something called associative indexing, which basically means you can explore your data from all sorts of angles without having to set up complicated queries beforehand. Plus, with integrations for big names like Salesforce, Snowflake, and AWS, it’s pretty easy to keep everything connected and streamlined so teams can focus on making sense of data instead of wrestling with it.

    נקודות עיקריות:

    • Combines AI assistance with predictive analytics for user-driven insights
    • Supports embedded, mobile, and real-time analytics
    • Flexible deployment options across cloud, hybrid, and on-premise environments
    • Associative engine allows multi-directional data exploration
    • Broad integrations with enterprise platforms and cloud providers

    שירותים:

    • Cloud-based Analytics (Qlik Sense)
    • Predictive and Generative AI Tools
    • אנליטיקה מוטמעת
    • Mobile-Optimised Dashboards
    • אוטומציה של זרימת עבודה
    • Data Integration and Transformation
    • Cross-platform Data Connectivity

    פרטי קשר:

    • אתר אינטרנט: www.qlik.com
    • פייסבוק: www.facebook.com/qlik
    • טוויטר: x.com/qlik
    • לינקדאין: www.linkedin.com/company/qlik
    • Address: 210 Pentonville Rd, London N1 9JY, United Kingdom
    • Phone: +44 20 7284 1800

    4. Alteryx

    Alteryx makes cloud analytics feel way less complicated than it sounds. Their platform is designed to help teams prep, analyze, and even automate data insights without needing to be coding experts. Think drag-and-drop tools and AI that guides you through workflows – it’s built so everyone from analysts to managers can get stuff done faster and smarter. They really focus on making analytics easy to use across different departments and industries, without drowning you in tech jargon or complicated setups.

    On top of that, they take security and governance seriously. Their platform has built-in features to keep everything compliant and trustworthy, which is super important when you’re working with AI these days. Plus, they connect straight to the big data platforms out there and make data prep way simpler. Basically, Alteryx mixes automation, smart analytics, and solid governance so businesses can make better decisions without all the boring manual work.

    נקודות עיקריות:

    • Unified platform for analytics, automation, and AI workflows
    • Drag-and-drop interface designed for business users
    • Built-in governance for compliance and trust
    • Integrates with major cloud data platforms
    • Focused on self-service capabilities for non-technical users

    שירותים:

    • Data preparation and cleansing
    • Predictive analytics and reporting
    • שילוב בינה מלאכותית ולמידת מכונה
    • אוטומציה של זרימת עבודה
    • Cloud data integration and access
    • Governance and compliance support

    פרטי קשר:

    • אתר אינטרנט: www.alteryx.com
    • פייסבוק: www.facebook.com/alteryx
    • טוויטר: x.com/alteryx
    • לינקדאין: www.linkedin.com/company/alteryx
    • אינסטגרם: www.instagram.com/alteryx
    • Address: 107 Cheapside, London EC2V 6DN, United Kingdom
    • Phone: +44 (0)20 3318 8044

    5. SAP

    SAP offers a cloud-based analytics platform through its Business Data Cloud solution, focusing on simplifying access to both SAP and third-party data. Built as a fully managed SaaS product, it brings together enterprise data in one place and adds a semantic layer that helps users understand and act on information within a business context. The approach is designed to eliminate the need for duplicating or extracting data, which can otherwise slow down AI or analytics initiatives. Instead, teams can work directly on integrated, harmonised data for various planning, operational, and analytical needs.

    The platform supports intelligent applications that adapt and learn from data patterns over time, enabling automated responses and insights across different business functions. With a clear focus on interoperability, SAP Business Data Cloud integrates with services like Databricks and tools across the wider SAP ecosystem. This setup supports use cases across finance, supply chain, HR, and more, without requiring users to manage complex infrastructure in the background.

    נקודות עיקריות:

    • Unified cloud platform for both SAP and non-SAP data
    • Integrated with SAP HANA Cloud, Datasphere, and Databricks
    • Semantic layer for contextual business understanding
    • Prebuilt intelligent applications for core business areas
    • Supports real-time adaptation through machine learning

    שירותים:

    • Data integration across cloud and on-premise systems
    • Enterprise planning and analytics through SAP Analytics Cloud
    • Data fabric and modeling via SAP Datasphere
    • AI-powered business applications
    • Tools for finance, supply chain, and people analytics

    פרטי קשר:

    • אתר אינטרנט: www.sap.com
    • פייסבוק: www.facebook.com/SAP
    • לינקדאין: www.linkedin.com/company/sap
    • אינסטגרם: www.instagram.com/sap
    • Address: SAP UK Ltd, 9 Appold St, London EC2A 2AP
    • Phone: +44 20 7655 5000

    6. Teradata

    Teradata delivers a cloud-based analytics platform designed to support businesses in handling complex data across hybrid and multi-cloud environments. Their approach revolves around harmonizing data from various sources to help teams generate insights and drive informed decisions at scale. With a focus on integrating analytics with AI and machine learning, they offer tools that can be adapted across different parts of an organization, including business operations, data science, and IT. Their platform, VantageCloud, supports elastic scaling and enables data to be analyzed without the need to move or duplicate it.

    In addition to their own tools, Teradata integrates with platforms like AWS, Azure, and Google Cloud. They also provide access to ClearScape Analytics, a set of capabilities built to help with advanced use cases, such as predictive modeling or AI-based customer experience optimization. Their platform supports collaboration across different teams, whether the need is operational reporting or building AI pipelines. The aim is to give businesses more control over their data architecture without locking them into one specific setup.

    נקודות עיקריות:

    • Supports hybrid and multi-cloud environments
    • Harmonizes data without requiring duplication
    • Integrates with AWS, Azure, and Google Cloud
    • Provides scalable analytics and AI tools
    • Designed for enterprise collaboration across departments

    שירותים:

    • Data integration across cloud platforms
    • AI and machine learning pipeline support
    • Predictive analytics with ClearScape Analytics
    • Data architecture and management tools
    • Business intelligence reporting and insights

    פרטי קשר:

    • אתר אינטרנט: www.teradata.com
    • פייסבוק: www.facebook.com/Teradata
    • טוויטר: x.com/teradata
    • לינקדאין: www.linkedin.com/company/teradata
    • אינסטגרם: www.instagram.com/teradata
    • Address: Teradata UK Ltd, 7th Floor, 2 Kingdom Street, London W2 6BD
    • Phone: +44 (0)20 3372 3800

    7. Domo

    Domo offers a cloud-based platform that helps businesses connect and manage data from a wide mix of sources. Their system supports data integration, visualization, and automation in one place, which can be useful for teams that want to simplify how they work with analytics across departments. They provide tools for connecting directly to cloud data warehouses, databases, APIs, and other systems, aiming to centralize data without much overhead. Users can explore, prepare, and share data using a mix of AI-assisted tools and self-service dashboards.

    The platform includes options for building custom workflows, automating processes, and creating AI agents tailored to specific business needs. Rather than focusing on just reporting, Domo tries to make it easier for teams to use data in ongoing operations and decisions. Their ecosystem integrates with platforms like Snowflake, Salesforce, Google Cloud, and Azure, which gives companies some flexibility in how they build out their infrastructure. It’s designed to support everything from high-level overviews to operational insights, without requiring a deep technical background.

    נקודות עיקריות:

    • Combines data integration, BI, and automation in a single platform
    • Supports AI-assisted data prep, analysis, and custom AI agents
    • Works with major cloud platforms and data tools
    • Enables workflow automation and dashboard sharing
    • Focused on centralizing and simplifying data access

    שירותים:

    • שילוב והכנת נתונים
    • Business intelligence and dashboards
    • AI tools and automation workflows
    • Custom application creation
    • ניתוחים מוטמעים
    • תמיכה בסביבות מרובות עננים והיברידיות

    פרטי קשר:

    • אתר אינטרנט: www.domo.com
    • דוא"ל: pr@domo.com
    • פייסבוק: www.facebook.com/domoHQ/timeline
    • טוויטר: x.com/domotalk
    • לינקדאין: www.linkedin.com/company/domo-inc-
    • אינסטגרם: www.instagram.com/domo
    • כתובת: 802 E. 1050 South American Fork, UT 84003
    • טלפון: 800.899.1000

    8. OVHcloud

    OVHcloud provides a range of public cloud services with support for data analytics and machine learning workloads. Their platform includes pre-configured analytics environments, such as Apache-based solutions, that can be deployed quickly. Designed with scalability and flexibility in mind, it allows users to work with data across compute, storage, and containerized infrastructure, without being tied to one specific architecture. OVHcloud’s infrastructure operates on a pay-as-you-go basis and supports open-source tools and custom configurations.

    They focus heavily on data control, transparency, and jurisdictional flexibility. Customers have the option to decide where their data is stored, and the company emphasizes that it doesn’t sell or use customer data in any form. Their analytics tools are designed to integrate with managed Kubernetes, AI platforms, and a wide range of storage options. This approach aims to support different types of projects, from simple reporting setups to more advanced machine learning pipelines, while giving users more visibility into how their infrastructure operates.

    נקודות עיקריות:

    • Offers managed, open-source-based analytics environments
    • Strong emphasis on user control and data sovereignty
    • Supports hybrid and containerized infrastructure
    • Works across multiple data storage and compute options
    • Infrastructure focused on flexibility, with no vendor lock-in

    שירותים:

    • Pre-configured Apache analytics platforms
    • Managed Kubernetes for data workloads
    • Compute and storage for analytics at scale
    • Integration with AI and machine learning tools
    • Secure cloud hosting with jurisdictional data control

    פרטי קשר:

    • אתר אינטרנט: www.ovhcloud.com
    • פייסבוק: www.facebook.com/ovhcom
    • טוויטר: x.com/OVHcloud
    • לינקדאין: www.linkedin.com/company/ovhgroup
    • Phone: +353 (0) 1 691 72 83

    9. Infor Birst

    Infor Birst offers a cloud analytics platform that supports organisations in pulling together data from multiple systems and making sense of it across departments. Their platform is structured around the idea of embedding analytics into workflows, so that insights are directly accessible where people actually work – whether that’s in an ERP system, a finance dashboard, or operations. The system is built to accommodate both technical users and non-technical staff, using a mix of pre-built content, low-code data modeling, and adaptable interfaces.

    Their approach includes a set of role-specific and industry-focused tools that aim to simplify how users interact with data, cutting back on the need for separate reporting tools or data wrangling. Birst supports a networked business intelligence model, where different teams can work from a shared version of the truth while still exploring data on their own terms. The architecture is native to the cloud and designed to scale across departments without starting from scratch each time.

    נקודות עיקריות:

    • Embeds analytics into everyday workflows and systems
    • Combines centralized data models with team-level flexibility
    • Offers pre-built industry and role-specific analytics
    • Supports low-code development for data modeling and transformation
    • Built for multi-tenant cloud environments

    שירותים:

    • Unified business intelligence and analytics
    • Data integration and model building
    • Pre-configured industry content and dashboards
    • Embedded reporting within ERP and portals
    • Real-time and contextual analytics for decision support

    פרטי קשר:

    • אתר אינטרנט: www.infor.com
    • פייסבוק: www.facebook.com/infor
    • טוויטר: x.com/infor
    • לינקדאין: www.linkedin.com/company/infor
    • אינסטגרם: www.instagram.com/infor
    • Address: 15-17 Folgate St, London E1 6BX
    • Phone: +44 20 7407 7000

    10. Sigma Computing

    Sigma Computing focuses on making cloud analytics accessible to a broad range of users by combining familiar spreadsheet interfaces with direct access to live data in cloud warehouses. They aim to bridge the gap between technical teams and business users by offering a platform that doesn’t require coding skills but still taps into the full power of the cloud data warehouse. This approach lets people work with large datasets in real time without exporting or handling stale data, which helps speed up decision-making.

    Beyond traditional dashboards and reports, Sigma encourages building data-driven apps and automating workflows using AI and low-code tools. Their platform supports embedded analytics and provides AI-powered features for data discovery and enrichment. They emphasize self-service analytics with governance, allowing teams to collaborate effectively while keeping data secure and compliant with existing controls.

    נקודות עיקריות:

    • Spreadsheet-style interface connected directly to cloud data
    • Real-time data access without exporting or delays
    • AI-powered data discovery and enrichment tools
    • Supports embedded analytics and low-code data app creation
    • Designed for users of all technical skill levels

    שירותים:

    • Interactive dashboards and reports
    • AI-enhanced data querying and insights
    • Workflow automation with writeback capabilities
    • Embedded analytics for customer-facing applications
    • Custom data apps and operational analytics

    פרטי קשר:

    • אתר אינטרנט: www.sigmacomputing.com
    • פייסבוק: www.facebook.com/sigmacomputing
    • טוויטר: x.com/sigmacomputing
    • לינקדאין: www.linkedin.com/company/sigmacomputing
    • Address: 24 Chiswell Street London EC1Y 4TY United Kingdom

    11. SAS

    SAS focuses on providing a comprehensive cloud analytics platform designed to combine advanced data analytics with AI capabilities. Their SAS Viya platform supports a wide range of industries by enabling organizations to gain insights from complex data through trusted AI models and flexible cloud deployment options. The platform allows teams to analyze data, predict trends, and make faster, informed decisions, all while supporting collaborative workflows across business functions.

    Their approach includes integrating AI with traditional analytics and adding tools for risk management, fraud detection, and operational optimization. They emphasize adaptability, allowing clients to run SAS Viya in cloud environments of their choice or as a managed service, offering a mix of cloud-native and cloud-agnostic options. The platform is aimed at boosting productivity and helping users from different roles tap into the value of their data without heavy technical overhead.

    נקודות עיקריות:

    • Combines AI, machine learning, and advanced analytics
    • Cloud-native and cloud-agnostic deployment options
    • Supports diverse industries with purpose-built AI solutions
    • Emphasizes trusted, transparent insights
    • Focus on risk, fraud, marketing, and operational analytics

    שירותים:

    • Cloud-based analytics and AI platform (SAS Viya)
    • Fraud detection and prevention analytics
    • Industry-specific AI models and solutions
    • Risk management analytics
    • Data visualization and reporting tools

    פרטי קשר:

    • אתר אינטרנט: www.sas.com
    • דוא"ל: askcompliance@sas.com
    • פייסבוק: www.facebook.com/SASsoftware
    • טוויטר: x.com/SASsoftware
    • לינקדאין: www.linkedin.com/company/sas
    • Address: Wittington House Henley Road, Medmenham Marlow, Buckinghamshire SL7 2EB
    • Phone: +44 1628 490972

    12. Elastic

    Elastic offers a platform centered around search, observability, and security solutions built on an open source foundation. Their approach focuses on providing tools that enable organizations to rapidly explore and analyze large volumes of data with search-driven AI and machine learning capabilities. The platform is designed to support both real-time and historical data use cases, helping teams detect issues, uncover insights, and respond quickly across various environments.

    The company also integrates generative AI features with its vector database technology to enhance search relevance and power more advanced applications. This combination allows users to scale operations while keeping control over costs and infrastructure complexity. Elastic’s platform is flexible, supporting deployments across cloud, on-premises, and hybrid setups, making it suitable for diverse organizational needs.

    נקודות עיקריות:

    • Open source-based platform supporting search, security, and observability
    • Integration of AI and machine learning with search capabilities
    • Cloud-native services combined with object storage for scalable data handling
    • Vector database optimized for generative AI workloads
    • Flexible deployment options including cloud, on-premises, and hybrid

    שירותים:

    • Search AI platform with vector search and generative AI
    • Security analytics and threat detection
    • Observability tools for monitoring and troubleshooting
    • Scalable data storage and search services
    • Elastic Serverless and Search AI Lake for cloud-native analytics

    פרטי קשר:

    • אתר אינטרנט: www.elastic.co
    • E-mail: info@elastic.co
    • פייסבוק: www.facebook.com/elastic.co
    • טוויטר: x.com/elastic
    • לינקדאין: www.linkedin.com/company/elastic-co
    • Address: 5 Southampton Street London WC2E 7HA

    13. Telefónica Tech

    Telefónica Tech focuses on combining expertise in data, AI, cloud, and cybersecurity to help organisations improve how they manage and use data. Their approach covers the full spectrum of data needs, from strategy and governance to building and running AI solutions that support smarter decisions. They work alongside partners like Microsoft, AWS, and Databricks, tailoring their services to help businesses navigate complex data challenges and embed data-driven practices into everyday operations.

    They emphasise the importance of building a strong data culture, with attention to people, governance, enablement, and technology. This includes setting up secure data frameworks, making data easy to find and use, and providing scalable platforms that can support emerging technologies like generative AI. Telefónica Tech supports various industries, adjusting solutions to specific sector requirements, from public services to manufacturing and finance.

    נקודות עיקריות:

    • Integration of data, AI, cloud, and cybersecurity expertise
    • Partnerships with Microsoft, AWS, and Databricks
    • Focus on building data culture through people, governance, enablement, and technology
    • Support for AI operationalisation and secure data governance
    • Industry-specific solutions across public sector, manufacturing, finance, retail, and utilities

    שירותים:

    • Data strategy, governance, and AI proofs of concept
    • Design and delivery of modern data warehouse platforms
    • Custom dashboards and analytics for department-level insights
    • AI development, deployment, and managed services
    • Secure frameworks for data governance and compliance

    פרטי קשר:

    • Website: telefonicatech.uk
    • E-mail: info@telefonicatech.uk
    • Twitter: x.com/TefTech_EN
    • LinkedIn: www.linkedin.com/showcase/telefonicatech-uki
    • Instagram: www.instagram.com/telefonicatech_en
    • Address: Floor 31, 20 Fenchurch St, London, EC3M 3BY
    • Phone: +44 333 188 7868

    14. PwC UK

    PwC UK approaches data and analytics by helping organisations turn the vast amounts of information they generate every day into useful insights. They focus on building a strong foundation for data management, ensuring that data is accurate, well-organised, and governed properly. From there, they work on applying advanced analytics techniques to help companies anticipate future trends, improve how they operate, and discover new opportunities. Their approach also considers the human side of analytics, combining technology with business insight to create solutions that fit real-world needs.

    They outline the data journey in clear stages, starting from establishing a reliable data framework to exploring innovative uses of data within business processes. PwC emphasises the importance of culture and strategy alongside technology, encouraging organisations to embed data-driven decision-making deeply into their operations. Their services cover everything from creating governance frameworks to optimising data infrastructure and supporting continuous improvement through analytics.

    נקודות עיקריות:

    • Emphasis on trusted data through strong governance
    • Integration of advanced analytics with human insight
    • Structured approach to building data foundations and innovation
    • Focus on improving business performance via data
    • Support for creating data-driven organisational culture

    שירותים:

    • Data strategy and governance framework development
    • Data infrastructure and process optimisation
    • Advanced analytics and predictive modelling
    • Business performance improvement through data insights
    • Training and support for data-driven culture transformation

    פרטי קשר:

    • Website: www.pwc.co.uk
    • Facebook: www.facebook.com/PwCUK
    • LinkedIn: www.linkedin.com/company/pwc-uk
    • Instagram: www.instagram.com/pwc_uk
    • Address: PricewaterhouseCoopers LLP 1 Embankment Place London WC2N 6RH United Kingdom WC2N 6RH
    • Phone: +44 (0)20 7583 5000

    מַסְקָנָה

    When it comes to making sense of data in today’s fast-moving world, the right cloud-based analytics partner can really make a difference. These companies bring different strengths to the table, from solid data governance and smart AI applications to flexible cloud platforms that fit various business needs. It’s clear that powering your insights isn’t just about the technology itself but also about how it’s put to work – whether that’s through tailored strategies, practical tools, or ongoing support.

    Finding the right fit depends on what your organisation values most – be it speed, security, or a seamless way to turn raw data into actionable knowledge. The companies explored here show how varied the approaches can be, yet they all aim to help businesses move beyond data overload toward smarter decision-making. It’s an evolving space, no doubt, and keeping an eye on how these cloud analytics solutions develop could open up new ways to work with data you might not have considered before.

    בואו נבנה את המוצר הבא שלכם! שתפו את הרעיון שלכם או בקשו מאיתנו ייעוץ חינם.

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