Premium insight
Dashboards that answer real business questions.
Service 09 of 15
Data & analytics
Dashboards, data pipelines and reporting you can trust.
- Typical timeline
- 3–10 weeks
- Pricing
- Fixed quote
- Team
- Data engineer + analyst
Our 3 promises
Your numbers. Our goal.
Three promises we make on every data project.
On top of it
Reports that update themselves, so you always know where you stand.
Numbers you trust
Tested data, one source of truth.
Tech stack
The stack behind your data & analytics
Proven, well-supported tools at every layer. Picked for your product, never for our habits.
- SourcesSpreadsheets
- SourcesMost requestedAPIs
- Pipelinesdbt
- SourcesMost requestedCRMs
- PipelinesPython
- WarehouseSnowflake
- PipelinesMost requestedAirbyte
- WarehousePostgreSQL
- WarehouseMost requestedBigQuery
- DashboardsPower BI
- DashboardsMetabase
- DashboardsMost requestedLooker Studio
- TrackingPostHog
- TrackingMost requestedGA4
- TrackingSegment
What’s included
What you get
Everything in scope, from first workshop to launch.
01StartData audit
Map where your data lives and what is missing.
Read more +Show less −
A data audit maps every place your business data lives, how reliable it is and what is missing to answer your key questions. You get a clear map of sources and gaps, usually within the first 1–2 weeks. It shows what you can report on now and what needs fixing first.
What you get
- Map of data sources: CRM, accounting, spreadsheets, apps and APIs
- List of the business questions and KPIs you need answered
- Quality check for duplicates, gaps and conflicting numbers
- Gap list showing missing or unreliable data
- Data brief with recommended next steps
How it works
- Agree the decisions and questions the data must support
- Get access to each source and review samples
- Check data quality and record the gaps
- Present the data brief and agree priorities
Good to know: Start with three to five questions that drive real decisions, because dashboards built around questions get used.
02BuildPipelines
Automated data flows into one place.
Read more +Show less −
Pipelines are automated data flows that pull data from your tools into one warehouse and keep it up to date. You get connectors built with tools such as Airbyte, models in dbt and a warehouse such as BigQuery, Snowflake or PostgreSQL in your own cloud account. Data refreshes on a schedule, often daily or hourly, instead of being copied by hand.
What you get
- Automated connectors for each agreed source, such as HubSpot or Xero
- Data warehouse set up in your own cloud account
- Cleaned, tested data models in dbt
- Scheduled refreshes with alerts if a load fails
- Role-based access with UK or EU hosting
How it works
- Design the data model around your agreed questions
- Connect sources and load raw data into the warehouse
- Clean and model the data, with automated tests
- Schedule refreshes and alerts, with a demo every sprint
Good to know: Check API access early, because some older tools limit exports and that can change the plan.
03BuildDashboards
Live dashboards for the numbers that matter.
Read more +Show less −
Dashboards show the numbers that matter to your business, live and in one place. You usually see a first working dashboard within 2–4 weeks, then it grows sprint by sprint. We build in Power BI, Looker Studio or Metabase, chosen to fit your budget and your existing Microsoft or Google tools.
What you get
- Agreed KPI definitions written in plain language
- Live dashboards for leadership and each team
- Filters by date, region, product or team
- Numbers checked against your own records before launch
- Scheduled email reports where useful
How it works
- Agree the KPIs and how each one is calculated
- Sketch the layout and review it with you
- Build the dashboard and check numbers against your records
- Roll out to your team and refine from feedback
Good to know: Agreeing one definition for each KPI, such as what counts as an active customer, avoids most later disputes.
04BuildTracking
Product and event tracking set up correctly.
Read more +Show less −
Tracking sets up product and website analytics so you know what users actually do, from first visit to sign-up or purchase. You get a written tracking plan and events set up correctly in GA4, PostHog or Segment, with consent handled for UK and EU GDPR. Every event is tested before launch, so the numbers are reliable from day one.
What you get
- Tracking plan listing every event and its details
- Events set up in GA4, PostHog or Segment
- Cookie consent configured for UK and EU GDPR
- Conversion funnels for your key journeys
- Tests confirming each event fires correctly
How it works
- Agree the journeys and actions worth measuring
- Write the tracking plan and review it with you
- Add events and consent to your site or app
- Test every event, then send the data to your warehouse
Good to know: Track fewer events well rather than everything badly, as a short, named list is easier to trust.
05LaunchHandover
Docs and training so your team can use it.
Read more +Show less −
Handover makes sure your team can use, trust and maintain the data setup without relying on us. You get written docs, recorded training sessions and a clear guide to every dashboard and KPI, usually in the final 1–2 weeks of the project. Support for fresh data, fixes and new reports is available after launch.
What you get
- Documentation of sources, pipelines and data models
- KPI glossary explaining each number and how it is calculated
- Training sessions for dashboard users, recorded for later
- Admin guide for adding users and fixing failed loads
- All accounts, code and dashboards in your name
How it works
- Write the docs as we build, not at the end
- Train users on the dashboards they will use
- Train admins on refreshes, access and common fixes
- Agree an optional support plan for after launch
Good to know: Name one person on your side as the data owner, as it keeps definitions and access under control.
How it works
From idea to launch
Every service runs through the same five steps. Here is what each one means for Data & analytics.
01of 05
UnderstandWeeks 1–2Once
We learn the decisions you need to make and the data behind them.
You getData brief
What we do
- Workshop on key questions and KPIs
- Audit your data sources
- Agree the first dashboards
You get
- Data brief
- KPI definitions
- Source audit
From you
- 2–3 hours for workshops
- Access to data sources
Tools
- Miro
- Notion
02of 05
PlanBefore any buildOnce
Data model, pipelines and a fixed quote you approve.
You getFixed quote & timeline
What we do
- Data model and warehouse design
- Pipeline plan for each source
- Dashboard wireframes
You get
- Fixed, itemised quote
- Data model
- Timeline with milestones
From you
- Review and approve the plan
Tools
- dbt
- Jira
03of 05
BuildTwo-week sprints↻ Repeats
Pipelines, warehouse and dashboards, with a demo every sprint.
You getWorking dashboards
What we do
- Pipelines from your tools
- Clean, tested data models
- Dashboards and reports
You get
- Working dashboards every two weeks
- Data dictionary
- Access to all code
From you
- 30-minute demo every two weeks
- Check numbers against your records
Tools
- BigQuery / Snowflake
- dbt
- Power BI
04of 05
Test & launchEach release↻ Repeats
Numbers checked against your records, then rolled out to your team.
You getLive dashboards
What we do
- Data accuracy tests
- Access and permission checks
- Training for your team
You get
- Live dashboards
- Accuracy report
- User guides
From you
- Sign-off on key numbers
Tools
- dbt tests
- Looker
05of 05
Support & growAfter launch↻ Repeats
Keeping data fresh, fixing breaks and adding new reports.
You getOngoing improvements
What we do
- Pipeline monitoring and fixes
- New sources and reports
- Monthly review of what people use
You get
- Monthly update
- Data freshness reports
From you
- Monthly 30-minute review
Tools
- Airflow
- Power BI
FAQ
Data & analytics questions
What does a data analytics project involve?
Connecting your sources, cleaning and modelling the data in a warehouse, then building dashboards that answer agreed business questions.
Which tools do you use?
Power BI, Looker Studio or Metabase for dashboards, and BigQuery, Snowflake or PostgreSQL for warehousing, chosen for your budget and existing Microsoft or Google stack.
How long until we see a first dashboard?
Usually within 2–4 weeks for a first working dashboard, then we expand it sprint by sprint.
Can you combine data from spreadsheets, CRM and accounting?
Yes. We automate data pulls from tools such as HubSpot, Salesforce, Xero and Shopify, and from spreadsheets, so reports update themselves.
Is our data kept secure?
Yes. Data stays in your own cloud account, with role-based access and UK or EU hosting, under a data processing agreement.
Who owns the code?
You do. All IP is assigned to you in the contract, and the code, accounts and documentation are yours from the first sprint.
Let’s talk
Let’s talk
A 30-minute call with an engineer and a clear next step for your project.