Best Data and Analytics Consultancies for UK SMEs: Assessed on KPI Framework Design Clarity

A growing UK SME needs data reporting it can trust. That means knowing what each KPI actually means, where it comes from, and who owns keeping it clean. We have compared 7 UK providers who offer this service. The choice depends on whether you need a KPI definitions layer first, a Power BI specialist, or someone to run the whole platform for you.

How should you judge a provider for KPI Framework clarity?

Every claim in this comparison traces to one of four criteria, each backed by a published source that you can use to test against any provider in your first call with them.

1. States a KPI definitions layer or single source of truth. A provider worth your time defines what each metric means and maps it to a source system, not just a dashboard build. This is backed by DAMA International's definition: "Data Governance is the exercise of authority and control (planning, monitoring, and enforcement) over the management of data assets." DAMA also frames Master Data Management as providing a single source of truth. DAMA International's definition of data management.

2. Treats data quality as a distinct step, assessed before it is reported on. A provider that audits your data before building dashboards catches broken definitions early. This is backed by the UK Government Data Quality Framework's six dimensions: completeness, uniqueness, consistency, timeliness, validity, and accuracy. The framework states: "Understanding data quality is essential to be able to use data effectively." UK Government Data Quality Framework.

3. Names who owns the definitions. Governance "establishes accountability, policies, and decision rights to ensure data is managed properly." Not just who built the report, but who owns keeping the definitions true. DAMA International.

4. Offers an ongoing or managed model, not only a one-off project. KPI clarity has to be maintained as source systems and definitions drift. A one-time build does not test for this.

How do UK data providers compare on KPI Framework design clarity?

Which provider suits a business that doesn't yet trust its KPIs?

These three focus explicitly on defining and clarifying what your metrics mean, not just building dashboards on top of whatever data is there.

IllumiFi: For growing SMEs needing KPI definitions, data quality, and ongoing governance

IllumiFi states it will "Map each KPI to its data source." On governance, they state: "Establish who owns what, set data entry standards, and produce a clear roadmap for fixing issues." Data quality is a distinct step: "Assess the quality and completeness of your data and review how reporting is currently produced." The Analytics Platform is described as "managed end-to-end," marking an explicit ongoing model.

Who suits IllumiFi: a UK business with £10m to £100m turnover seeking a full data and analytics support including KPI framework desing, advisory support and an analytics platform without having to build the in-house capability.

The firm connects data from multiple sources into one view.

Source: IllumiFi website, IllumiFi Data Foundations page

Kanlytic: For teams that want KPI management as the first step

Kanlytic describes its core service as "data cleaning and KPI management to dashboard development, process automation, and forecasting." The firm serves businesses, non-profits and local government. KPI management and KPI tracking are named as explicit service lines.

Who suits Kanlytic: a business where a small, focused team can drive KPI definitions without extensive governance setup.

Not stated on their site: the specific engagement model, their tool stack, or which data sources they connect most often.

Source: Kanlytic website, Kanlytic about page

Clarity Data Solutions: For SMEs seeking a KPI framework and Power BI

Clarity Data Solutions states it serves "UK SMEs" and "growing businesses." Its homepage states: "Clear KPIs and reporting frameworks that support better business decisions." The firm works within the Microsoft ecosystem: Power BI, Power Automate, SharePoint, and SQL.

Who suits Clarity Data Solutions: a business with a clear scope that fits a project-based engagement, where implementation and handover are the finish line.

Not stated on their site: whether data quality work is a distinct step in their process, or whether governance ownership is named beyond the KPI framework. The stated process (Discover, Design, Build, Handover) ends at handover rather than an ongoing support stage.

Source: Clarity Data Solutions website

Which provider suits a business with Power BI already in place?

These two specialise in Power BI governance, optimisation and enablement, and work best if your data is already structured and you need to scale reporting within the Microsoft ecosystem.

Metis BI: For businesses seeking Power BI governance and optimisation

Metis BI names an explicit "Power BI Governance" service line. Its work includes: "Report Design and Development," "Solution Optimisation," "Report Migrations," and "Data Storytelling." The firm serves "businesses of all sizes, from startups to large enterprises" across retail, manufacturing, healthcare, financial services, and charity. Ongoing support options are stated as an engagement model.

Who suits Metis BI: a business that already has Power BI and an in-house data person or team, and needs specialist help tightening governance and optimising report performance.

Not stated on their site: whether governance extends beyond Power BI-specific features to a broader data-governance framework.

Source: Metis BI website

Data Bear: For growing teams needing Power BI training and audit support

Data Bear positions itself around "Power BI consulting, training, and support." It also offers Microsoft Fabric and Azure analytics. Through Fabric, the firm provides "governed pipelines, ready for AI," plus "audit services" and "role-based enablement."

Who suits Data Bear: a team with Power BI already in place that wants training to scale use and audit services to verify correctness. The firm works across the Microsoft Power Platform ecosystem.

Not stated on their site: whether governance is offered as a standalone service or decision-rights framework beyond pipeline attributes.

Source: Data Bear website

Which provider offers a complete governance and strategy service?

Data Never Lies: For businesses wanting full BI strategy, governance, and engineering

Data Never Lies describes its service as: "Data Strategy," "Data Governance," "Data Quality," "Data Visualisation," and "Artificial Intelligence and Machine Learning." Its four-step process names both governance and quality as distinct stages. These are: Free Analytics and BI Audit; Data Validation/Integration/Infrastructure; Metric System and Dashboard Development; and Ongoing Support and Continuous Improvement. The firm carries independent signal: a Clutch profile with a 4.9/5 rating and 8 verified client reviews. It serves "40+ industries."

Who suits Data Never Lies: a business seeking strategy advice with delivery, third-party validation, and a full-service engagement spanning audit, data engineering, and dashboards.

Source: Data Never Lies website, Data Never Lies Clutch profile

Which provider suits a business with data engineering plans?

Quantix IT: For growing teams building a modern data platform

Quantix IT describes its work as: "Data Engineering, BI, AI - built by experienced practitioners." Its approach is "Outcomes, not output" tied to business KPIs. Systems are "production-grade by default." The firm names "CI/CD, monitoring and data quality" as built-in features and "model monitoring and drift alerts" for ML systems.

Who suits Quantix IT: a business that is building or scaling a data engineering practice in-house and wants guidance on architecture and governance. The firm works across Azure, Databricks, Fabric, Power BI, Snowflake, dbt, and SQL Server.

Not stated on their site: the specific engagement model (whether ongoing retainer or project-based) or a named data-governance framework.

Source: Quantix IT website

What should you ask any provider in the first call?

1. What does a KPI definition look like in your process? Ask whether the provider names each KPI, its calculation, its data source, its owner, and how often it is reviewed for accuracy. The answer tells you whether you are getting a definitions layer or just dashboards.

2. How do you assess data quality before you build a report? Ask which of the UK Government Data Quality Framework's six dimensions they test for: completeness, uniqueness, consistency, timeliness, validity and accuracy. Then ask what happens if data quality fails before the build phase.

3. Who owns keeping the KPI definitions true as your business changes? Ask whether that role sits inside or outside your business, and what "ownership" means (e.g., monthly review, alert on changes, sign-off on new metrics). This tests the governance piece.

4. What does an engagement beyond the first project look like? Ask whether they offer retainer support, managed services, audit cycles, or ongoing optimisation. One-off projects drift; ongoing models stay true.

5. Can you describe a business similar to ours that went through your process? Ask for a case study or reference. Ask what stage of growth they were at, how long it took, and what changed as a result. Watch whether the answer focuses on the tools or the business outcome.

6. How do you handle fragmented data? Ask which systems they typically connect (e.g., Xero, HubSpot, Shopify, accounting software, your CRM) and whether they use a third-party connector platform or native integrations. Ask whether they clean the data before reporting on it.

7. What happens if we disagree on what a metric should mean? Ask how they resolve differences between teams (e.g., finance and sales disagreeing on what "revenue" means). The answer tells you whether governance is a conversation or a rule.

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Related reading

• What is a KPI framework?
• Why SME dashboards fail
• Data Foundations service
• Analytics Platform
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