Data products
Answers you can act on, built on data you trust. Dashboards, agents and predictive models that give your team self-serve access to insight and the confidence to act on what they find.
What's the problem?
Your team spends days pulling reports that should take minutes. Stakeholders wait weeks for answers and make the call anyway, on gut feel. The dashboards exist, but nobody quite trusts them - or they answer last quarter's questions, not this quarter's.
The problem usually isn't the data. It's that nobody has built the right layer on top of it. The right dashboard. A model that surfaces what to do next. An agent that answers the question directly instead of handing someone a spreadsheet.
Dashboards & reports
Same-page clarity for every stakeholder. Built on trusted, unified data.
- •Rapid prototyping and iteration with your team
- •Dashboard audit: review what you've got, automate what's manual
- •Executive metric trees connecting activity to outcomes
- •Looker Studio for self-serve; Evidence and Rill for BI-as-code
- •Every dashboard draws from the governed platform
Conversational agents
Intelligence that works for you, governed so you can trust it. SEAM mediates every agent query - ensuring answers are consistent, auditable and grounded in definitions your team controls.
- •Conversational analytics: ask questions in natural language, get reliable answers
- •Agents that build reports, send alerts, detect anomalies and take action
- •Agent orchestration: multiple agents working together, human-overseen
- •SEAM governance: golden questions, spot checks and human-in-the-loop validation
- •Full audit trails on every agent interaction - trust in the source is non-negotiable
Predictive models
Prediction and experimentation built on your unified data. Know what's coming, not just what happened. We start with what your data can actually support and build from there.
- •Forecasting: demand, revenue and capacity - proven at scale with Google Store
- •Propensity modelling and funnel optimisation - churn, conversion and lifetime value
- •Anomaly detection with BigQuery ML - automated monitoring and alerting
- •Attribution: multi-touch, marketing mix modelling and incrementality where the data justifies it
- •AI categorisation: sentiment analysis, topic extraction and NLP on qualitative data
- •BigQuery ML plus open source libraries where the use case demands it
Automated activations
Intelligence pushed back into the tools where decisions happen. Once your data is unified and your models are producing outputs, the next step is closing the loop.
- •Audiences and segments built from unified data
- •Enriched profiles pushed to email, ad platforms and personalisation engines
- •Target high-value segments, suppress low-value spend
- •Reverse ETL and real-time activation where the use case and data maturity support it
What changes for you
The analyst who spent three days pulling a report now spends three days solving the real problem. The marketer who waited two weeks for attribution makes the call today. Stakeholders get answers in the format that works for them - a dashboard, a model output, a Slack message from an agent.
And because every product draws from the same platform, each one makes the next cheaper and faster to build. That's the flywheel.

Product launch forecasting
EMEA and APAC optimisation
We built a custom forecasting engine in BigQuery using historical data to predict launch performance for the Google Store. EMEA and APAC teams use it to optimise stock levels and identify cross-sell opportunities.
See our work →
Subscription funnel optimisation
Conversion +12%, churn -8%
BFI's subscription products were losing customers at key lifecycle stages. We analysed the full funnel in BigQuery - from acquisition through engagement to renewal - identifying the friction points driving churn. Targeted optimisations lifted conversion by 12%, reduced churn by 8% and improved lifetime value by double digits.
See our work →
AI agent querying BigQuery
SQL bottleneck removed
Non-technical staff needed answers from complex BigQuery datasets. We built a governed GenAI agent that lets the commercial team ask questions in natural language and get reliable, auditable answers - no SQL required.
Read the full story →
Recruitment intelligence
Ad-to-enrolment platform
A bespoke data product that unifies media, web and CRM sources into a closed-loop view of the student journey - enabling the recruitment team to attribute confirmed enrolments to specific advertising touchpoints.
Read the full story →
Anomaly detection with BigQuery ML
Automated monitoring and Slack alerts
We deployed ARIMA-based anomaly detection models in BigQuery ML to monitor EDF's data pipelines hourly. Anomalies trigger automated Slack alerts, catching data quality issues before they reach downstream dashboards or stakeholder reports.
Read the full story →
Data democratisation
Self-serve analytics at scale
Monzo's data team couldn't service every reporting request from 3,800 employees. We delivered Looker Studio training and self-serve enablement - giving non-technical teams the confidence to interrogate data without compromising governance.
See our work →Govern every agent, audit every answer
Centralise governance, decentralise access
Your agents are only as trustworthy as the definitions they query. SEAM mediates every tool call - resolving metrics consistently, validating outputs against golden questions, and logging a full audit trail. Built for organisations running multiple agents across multiple data sources.
See it in action →AI-augmented delivery
Built-in workflow efficiency
We've embedded custom AI agents and MCP tools directly into our delivery process. This automates technical documentation and QA, so our clients get higher-quality outputs with faster turnaround.
Learn more about us →How to get started
Dashboard audit
We review what you've got, identify what's manual and show you what could be automated or rebuilt. Clarity on where the quick wins are.
Book a dashboard auditDiscovery session
Tell us the question you can't answer today. We'll scope the data product that answers it - whether that's a dashboard, a model or an agent.
Book a discovery sessionSee a working example
Our student intelligence platform shows what a full data product looks like in production - from ingestion to predictive models to live dashboards.
View the demoWhat clients say
Measurelab have been a fantastic partner for us. Their expertise and proactive approach have helped us to unlock the full potential of our data.
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Ready for clarity?
Whether you need a dashboard or a full intelligence layer, we'll meet you where you are.
