Data Analytics Services: Companies Overview (2026)
Data analytics services can cover very different needs, from financial reporting and KPI dashboards to data engineering, predictive models, cloud platforms, and AI-supported analysis. This guide highlights a selection of companies with an emphasis on what each provider actually offers and where its capabilities are most relevant.
Acumon
Acumon is a UK firm of chartered accountants, registered auditors, and business advisers providing data analytics and technology-supported financial services to companies, charities, and international corporate groups.
The firm works with organisations ranging from growing owner-managed businesses and charities to larger corporate groups and regulated entities. Its data analytics work is closely connected to financial reporting and business performance, helping management teams make better use of financial and operational information for planning, monitoring, and decision-making.
Acumon holds a Public Interest Entity (PIE) audit licence, allowing the firm to audit listed companies and other entities subject to enhanced regulatory oversight in the United Kingdom. PIE audits are subject to additional regulatory supervision and quality requirements, and only a limited number of firms are authorised to undertake this type of work.
In addition to its UK audit registration, Acumon also holds audit licences in several international financial centres, including the Cayman Islands, British Virgin Islands (BVI), Jersey, and Isle of Man. These licences enable the firm to support international corporate groups where entities are located across multiple jurisdictions.
Organisations often hold information across accounting platforms, operational systems, spreadsheets, and other business applications. Acumon supports the development of clearer reporting structures by working with financial and operational data, identifying relevant performance indicators, and using analytics to provide greater visibility into business performance.
Acumon works with finance teams, management, and boards to support KPI reporting, budgeting, forecasting, variance analysis, financial modelling, profitability analysis, and management dashboards. Its broader technology capabilities also support data migration, systems integration, automation, and improvements to reporting processes as organisations grow.
Data Analytics Capabilities
Acumon provides data analytics services across a wide range of organisational structures and sectors.
These include:
UK limited companies and corporate groups
Public Interest Entities (PIEs) and regulated organisations
UK subsidiaries of international groups
charities and not-for-profit organisations
owner-managed businesses approaching statutory audit thresholds
offshore holding companies and investment vehicles
Data analytics engagements are typically led by senior professionals with direct involvement throughout the engagement.
Regulatory Licences and Registrations
Acumon holds several audit registrations that enable it to support organisations operating across multiple jurisdictions.
These include:
UK statutory audit registration
Public Interest Entity (PIE) audit licence
Jersey audit licence
Isle of Man audit licence
Cayman Islands audit licence
British Virgin Islands audit licence
These registrations allow the firm to provide audit services to groups that include entities in both the UK and key international financial centres.
Core Services
In addition to statutory external audit, Acumon provides a range of services that support financial reporting and governance.
These include:
statutory external audit
group and subsidiary audits
Public Interest Entity (PIE) audits
charity and not-for-profit audit
audit of international group structures
internal audit and governance reviews
risk management and compliance support
Audit work is often delivered alongside discussions with management and boards regarding financial reporting processes and governance frameworks.
Many organisations initially encounter statutory audit requirements as they grow and exceed the audit exemption thresholds set out in the Companies Act.
Acumon works with businesses that are:
approaching their first statutory audit
preparing for external investment
expanding into international markets
operating within corporate group structures
Early engagement with an audit firm can help ensure that financial reporting systems and documentation are aligned with statutory audit requirements.
Contact Information
Website: acumon.com
Phone: 020 8567 3451
E-mail: mail@acumon.com
Address: 1-2 Craven Road, Ealing, London, W5 2UA, UK
Analytics8
Analytics8 focuses specifically on data, analytics, and AI consulting. Its work spans strategy and advisory, modernization, and the development and operationalization of data and AI solutions.
This makes Analytics8 relevant to organisations dealing with broader data transformation rather than a single dashboard or reporting project. The firm says it has worked with more than 1,000 clients and has operated in the data consulting space for more than 20 years. Its offering can cover both the planning side of an analytics program and the underlying technology needed to put that plan into practice.
Key Facts
Ideal for: Organisations planning wider data transformation programs
Core services: Data strategy, modernization, analytics, AI
Specialization: Data and analytics consulting
Notable strength: Covers strategy through implementation and operationalization
DataArt
DataArt approaches analytics as part of a wider data transformation process. Its published capabilities include data strategy and consulting, data platform development, data value realization, and data migration and modernization.
The company also works with AI-supported analytics, predictive analysis, dashboards, and data engineering. That breadth is useful when analytics depends on fixing fragmented infrastructure first. Instead of treating visualization as an isolated deliverable, DataArt can work on the platforms and data flows that feed reporting and AI applications.
Key Facts
Ideal for: Enterprises modernizing data infrastructure alongside analytics
Core services: Data strategy, data platforms, migration, analytics, AI
Specialization: Enterprise data and analytics transformation
Notable strength: Connects analytics with platform engineering and modernization
ScienceSoft
ScienceSoft provides analytics consulting and implementation across business intelligence, data science, big data, and advanced visualization. Its projects range from embedded product analytics to enterprise analytics platforms.
The service portfolio accommodates several engagement models. Clients can commission consulting and custom implementation or use managed analytics and Analytics as a Service. ScienceSoft supports descriptive, diagnostic, predictive, and prescriptive analytics, making it relevant where reporting needs may grow into forecasting or optimization.
Key Facts
Ideal for: Businesses requiring custom or managed analytics environments
Core services: Analytics consulting, BI, data science, data warehousing, managed analytics
Analytics types: Descriptive, diagnostic, predictive, prescriptive
Specialization: Custom enterprise analytics solutions
Notable strength: Multiple delivery models, including managed analytics and AaaS
LatentView Analytics
LatentView Analytics concentrates heavily on analytics itself rather than treating it as one capability within a general IT portfolio. Its technical services include data engineering, data science, and data visualization, alongside consulting and analytics roadmap development.
There is also a strong business-function component. LatentView covers customer, marketing, financial, supply chain, HR, and risk and fraud analytics. This mix can be useful for enterprises that already know which commercial or operational function they want to improve but need both the engineering and analytical expertise to build the solution.
Key Facts
Ideal for: Enterprises applying analytics to specific business functions
Core services: Data engineering, data science, visualization, consulting
Business areas: Marketing, finance, supply chain, HR, customer analytics, risk
Specialization: Enterprise analytics and AI
Notable strength: Combines technical analytics with domain-focused applications
Tredence
Tredence works across data science, analytics, and AI, with services designed around turning enterprise data into operational and commercial applications. Its work is particularly visible in areas where analytics must move beyond reporting into forecasting, decision support, and AI-enabled processes.
The company maintains partnerships and capabilities across major data ecosystems, including Databricks, Google Cloud, Microsoft, and Snowflake. That platform exposure can matter for organisations that already have a substantial cloud data stack and need an analytics partner capable of working within it.
Key Facts
Ideal for: Enterprises developing analytics and AI programs on modern data platforms
Core services: Data science, analytics, AI
Specialization: Enterprise data and AI solutions
Technology ecosystem: Databricks, Google Cloud, Microsoft, Snowflake
EPAM
EPAM offers data analytics through consulting, custom solutions, ongoing support, and Analytics as a Service. Its published capabilities include data analysis and interpretation, advanced analytics, data visualization, predictive analytics, data warehouses, and data management.
EPAM can also connect analytics with AI and machine learning. This is relevant for businesses that expect their requirements to extend beyond conventional BI, particularly where analytics needs to become part of a larger software product or technology environment.
Key Facts
Ideal for: Businesses connecting analytics with larger software initiatives
Core services: Analytics consulting, advanced analytics, visualization, data management
Specialization: Data analytics integrated with digital engineering
Additional capabilities: AI, machine learning, data warehousing
SoftServe
SoftServe includes Big Data & Analytics among its core technology capabilities. Its data work covers cloud-native data platforms, data migration, reporting and BI, and analytics environments designed to support AI and machine learning.
SoftServe works across AWS, Azure, Google Cloud, Snowflake, Microsoft Fabric, Power BI, Tableau, Looker, and other components of the modern analytics stack. It is therefore more naturally suited to substantial engineering and modernization projects than basic one-off reporting assignments.
Key Facts
Ideal for: Enterprises building or modernizing cloud analytics platforms
Core services: Big data, analytics, BI, data migration, data platforms
Technologies: AWS, Azure, Google Cloud, Microsoft Fabric, Power BI, Tableau, Looker
Specialization: Cloud data engineering and analytics
Notable strength: Strong integration of data engineering, cloud, and AI capabilities
Tiger Analytics
Tiger Analytics focuses on data analytics and AI for enterprise environments. Its analytics services include data strategy, modernization, cloud data migration, AI transformation, and data compliance and governance.
The company also works on scalable analytics frameworks and modern data ecosystems. This positions it well for organisations where the difficulty is not simply interpreting existing data, but establishing a governed technical foundation that can support analytics and AI over the longer term.
Key Facts
Ideal for: Enterprises undertaking analytics and AI transformation
Core services: Data strategy, modernization, cloud migration, analytics, governance
Specialization: Enterprise AI and analytics
Notable strength: Analytics work tied to data modernization and governance
Quantzig
Quantzig offers managed data, analytics, and AI services for enterprise environments. Its managed service model spans data science, data engineering, business intelligence, data platform management, MLOps and LLMOps, AI model monitoring, and cloud operations.
That operating model is significant for organisations that do not simply need an analytics solution built. Quantzig can also take responsibility for maintaining and evolving analytics environments after deployment, which reduces the need to assemble every capability internally.
Key Facts
Ideal for: Enterprises outsourcing ongoing analytics operations
Core services: Data science, data engineering, BI, data platform management
Additional capabilities: MLOps, LLMOps, AI monitoring, cloud operations
Specialization: Managed analytics and AI services
Data Science UA
Data Science UA provides end-to-end analytics services covering strategy, data engineering, architecture, BI, visualization, predictive modelling, forecasting, and big data analysis. Its analytics offering also incorporates governance and secure data management.
Published industry examples span pharmaceutical, retail and e-commerce, green energy, financial services, and other areas. The company can therefore support both foundational data work and more advanced analytical use cases where machine learning or predictive models are part of the requirement.
Key Facts
Ideal for: Businesses combining data engineering with advanced analytics
Core services: Data strategy, engineering, BI, visualization, predictive modelling
Specialization: Data science and AI-supported analytics
Industries: Pharmaceutical, retail, e-commerce, green energy, financial services
Additional capabilities: Data governance and compliance support
Aptologics
Aptologics takes a focused approach to analytics and data engineering projects. Its team builds pipelines, models, and reporting directly within the client's existing warehouse, repositories, and analytics tools rather than introducing a proprietary platform.
The company commonly works with technologies such as Snowflake, Databricks, BigQuery, dbt, Tableau, Power BI, and Looker. Engagements are scoped around defined problems and include handover and documentation, making this model relevant to teams that want outside expertise while retaining control of their data stack and code.
Key Facts
Ideal for: Internal data teams needing targeted external engineering support
Core services: Data engineering, analytics, pipelines, modelling, reporting
Technologies: Snowflake, Databricks, BigQuery, dbt, Tableau, Power BI, Looker
Specialization: Analytics built within client-owned infrastructure
Notable strength: Client retains ownership of delivered work
B EYE
B EYE provides vendor-agnostic data analytics and business intelligence consulting. Its services cover analytics strategy, data governance, modern data architecture, integration, advanced analytics, BI, dashboards, training, and managed support.
The firm also works in enterprise planning, forecasting, supply chain planning, and AI. This creates a useful overlap between technical analytics infrastructure and business planning, particularly for organisations that want reporting and forecasting to feed directly into operational decisions.
Key Facts
Ideal for: Businesses connecting BI with planning and operational analytics
Core services: Data strategy, governance, BI, advanced analytics, dashboards
Specialization: Business intelligence and enterprise analytics
Additional capabilities: Forecasting, enterprise planning, AI, managed support
Witanalytica
Witanalytica organizes its services around different stages of analytics maturity. The portfolio begins with analytics strategy and business analysis, then moves through data engineering and warehousing to BI, big data analytics, data science, and AI agent development.
Its technology coverage includes platforms such as BigQuery, Redshift, Snowflake, Azure Synapse, Power BI, Tableau, and Domo. Published industry areas include retail and e-commerce, manufacturing, logistics and supply chain, and travel and tourism.
Key Facts
Ideal for: Organisations developing analytics capabilities in stages
Core services: Strategy, data engineering, warehousing, BI, big data, data science
Technologies: BigQuery, Redshift, Snowflake, Azure Synapse, Power BI, Tableau, Domo
Industries: Retail, manufacturing, logistics, travel
Location: Bucharest, Romania
Numlytics
Numlytics focuses on data analytics consulting across data strategy, Power BI, Microsoft Fabric, data engineering, AI and machine learning, ETL pipelines, Snowflake, Databricks, and predictive analytics.
Its offering also includes dedicated analytics teams, giving clients an option between defined consulting projects and additional ongoing analytics capacity. The company's published service coverage includes enterprises in the US, UK, Australia, and UAE, making it relevant to organisations looking for remote analytics delivery across several major business markets.
Key Facts
Ideal for: Businesses using Microsoft and modern cloud data ecosystems
Core services: Data strategy, Power BI, Microsoft Fabric, data engineering, AI
Technologies: Microsoft Fabric, Snowflake, Databricks
Specialization: BI, data engineering, and analytics consulting
Markets served: US, UK, Australia, UAE
Conclusion
Data analytics services vary considerably in scope. Some providers concentrate on BI, dashboards, and reporting, while others handle the underlying engineering, cloud infrastructure, governance, predictive modelling, and AI needed for larger analytics programs. A few also provide managed models that take ongoing operation of the analytics environment off the client's internal team.
The right fit depends on the problem being solved. Finance-heavy reporting calls for a different skill set from rebuilding a cloud data platform, while predictive analytics or enterprise AI introduces another layer of technical requirements. Comparing providers around existing infrastructure, internal expertise, industry context, delivery model, and the depth of analytics required gives a more useful basis for selection than list position alone.
