Source to story
We clean, join, and frame the data so the finding is obvious — not hidden in a pivot.
Analytics services
Data Analytics Services
From messy source files to a repeatable analysis your team can rerun every week — with a story leadership can act on.
2–5 weeks
Typical sprint
Model + pack
Outputs
Documented
Refresh path
Excel, SQL, BI
Tools
What you get
What this engagement covers
Clean, join, and frame the data so the finding is obvious — not hidden in a pivot.
KPI definitions
Written definitions so “revenue” and “active” mean the same thing in every meeting.
Repeatable workflow
Queries, sheets, or a light pipeline your team can refresh without starting over.
Visual packs
A small set of charts and tables built for the audience, not for the analyst’s curiosity.
Assumption log
Gaps and judgements written down so next quarter’s refresh does not reinvent the logic.
Team enablement
Optional walkthrough so analysts inherit the method, not just the file.
Why this engagement
When analytics services fit better than hiring an analyst
A defined pack and a refresh path. Hire Data Analysts if you need a person inside a broader workstream.
Board and weekly packs that diverge
The same definitions in both so the last-minute reconcile goes away.
KPI arguments
Written definitions so “revenue” and “active” mean the same thing in every room.
A warehouse you already have
We query it and document joins. We do not invent a platform if a clean extract is enough.
Messy desktop files
Source-to-story with a refresh path a new joiner can follow.
Honest gaps
We will not “make the number look better.” Assumptions stay visible.
Team enablement
Optional walkthrough so analysts inherit the method, not just the file.
How we work
How an analytics project runs
Most work is descriptive and diagnostic, done well. Predictive only when the question needs it.
Discover
A short call to map the outcome, data sources, constraints, and who will own the work after handover.
Propose
You receive a written plan, timeline, and price before any build starts — no open-ended retainers by default.
Build
Focused sprints with working files you can review. You see progress weekly, not a big reveal at the end.
Test
We check real scenarios, edge cases, and handoff steps with your team before anything goes live.
Handover
Documentation, a walkthrough, and access your staff can keep. You own the files.
Support
A defined window for fixes as your data, team, or reporting needs change.
Client stories
What clients say
We finally have a weekly pack that matches the board pack. No more last-minute reconciles.
They refused to “make the number look better.” That is why we kept them.
The refresh notes meant our intern could run it. That was the real win.
Help centre
Frequently Asked Questions
How is this different from hiring a data analyst?
Analytics services focus on a defined pack and a refresh path. Hire Data Analysts is better when you need a person inside a broader workstream.
Do you do predictive models?
Only when the business question needs it. Most work is descriptive and diagnostic, done well.
Can you work with our existing warehouse?
Yes. We query what you have and document joins. We do not invent a warehouse if a clean extract is enough.
Who owns the output?
You do. Files, measures, and notes transfer at handover.
Need a weekly pack people trust?
Tell us the meeting it serves and the files you have today. We will propose a first sprint.
Contact us