Data Studio analysis
See the numbers. Understand the next step
A report is an interface. The sources, definitions and questions behind it matter more.
See our approachDOES THIS SOUND FAMILIAR?
Does this sound familiar?
Reports multiply, but meetings still begin with reconciling numbers. AI can draw a chart; shared meaning takes deliberate work.
A CLOSER LOOK
Same data. Who is looking?
A different seat brings a different question.
01Leadership＋
Are we moving toward the goal?
Bring goals, changes and open questions forward so the discussion can move to decisions.
02Marketing＋
Which interactions deserve more attention?
Connect sources, audiences and behaviour to understand what sits behind the numbers.
03Sales＋
Are leads moving forward?
Agree on qualified leads and completed sales before comparing the value of sources.
OUR APPROACH
A clear question. A practical approach
- 01
Clarify sources and metric definitions
- 02
Design views around user tasks
- 03
Make exceptions, caveats and next steps visible
WORKING TOGETHER
Useful beyond the handover
These are starting points for scoping. Deliverables and timelines are agreed for each engagement.
Metric dictionary and source notes
Analysis views designed for actual tasks
Guidance for interpretation and maintenance
SCOPE
What the dashboards do
Dashboards
- Several sources under one set of definitions
- Up-to-date tracking
- Numbers turned into readable charts
- Templates shaped around your team
This service at a glance
| Item | Details |
|---|---|
| Typical situation | Reports multiply, but meetings still begin with reconciling numbers. AI can draw a chart; shared meaning takes deliberate work. |
| How we work | Clarify sources and metric definitions; Design views around user tasks; Make exceptions, caveats and next steps visible |
| What you receive | Metric dictionary and source notes; Analysis views designed for actual tasks; Guidance for interpretation and maintenance |
| Before we start | Who uses the report, when they use it and what decision follows. |
OFFICIAL REFERENCES
References: Google documentation
Our approach follows Google’s official documentation. When the rules change, the latest official guidance applies.
- Data Studio helpsupport.google.com
- BigQuery Exportsupport.google.com
BEFORE WE BEGIN
A useful place to start
Who uses the report, when they use it and what decision follows.
Discuss your situationCan we start without knowing the root cause?
Yes. Describe the confusing numbers or workflow, and we can discuss whether diagnostics, analysis or another service is the right starting point.
Do we need to change tools first?
We first review the current setup and constraints. A new tool should follow a clear need.
How are scope and timing agreed?
We scope the data, systems, participants and deliverables together before proposing the engagement.
COMMON QUESTIONS
From spreadsheets to automated reports
We merge ad platform and website data in spreadsheets every month, and the numbers never match. Is there a more reliable way?
The mismatch is rarely a formula error. Each platform counts differently: ad platforms attribute conversions with their own rules and windows, and GA4 uses its own attribution model. The reliable approach has two steps. First, write a metric reference that says where each number comes from, how it is calculated and what it should be compared with. Then let the data flow into one report automatically instead of copying and pasting. Differences will remain, but each one can be explained.
Can a Data Studio dashboard refresh automatically, control access and be sent on a schedule?
Yes. Once the data sources are connected, the report refreshes on its own. Viewing and editing rights can be set person by person, and the report can be emailed as a PDF on a schedule. Delivery to Google Chat or Slack requires Data Studio Pro.
Can ad platform results sit in the same report as GA4?
Yes. Google Ads and GA4 have official connectors, and other platforms can come in through connectors or through BigQuery. Label the source of every number on the page, and do not add up conversions from two attribution methods.
How we work
- List the decisions the report needs to support.
- Write the metric reference: metric, source, calculation, comparison.
- Connect the data sources, through BigQuery where needed.
- Design the report and its access rights.
- Set up scheduled delivery and hand over maintenance notes.
Sources for these answers
- Data Studio Help: Schedule automatic report delivery
- Google Analytics Help: Get started with attribution