More dashboards does not mean more clarity. Usually it means less.
Dashboard fatigue is not a design problem, it is a data architecture problem. When metrics do not match across tools, trust evaporates.
Monday morning: GA4 says one thing, Shopify says another
Your team spends half the day reconciling platforms. The numbers never match. Nobody trusts any of them. Data culture dies in spreadsheet purgatory.
Revenue dropped 30 percent on Tuesday. You found out Friday.
Without automated alerting, you are always reacting, never preventing. By the time you see it, the budget is already burned.
The CEO stopped opening your dashboard 3 months ago
When a dashboard raises more questions than it answers, executives stop trusting the data team. Dashboards without tested models are prettier spreadsheets.
Knaflic dataviz principles, not decoration
One question per visualization. Decluttered design. Every chart answers a specific decision.
Executive cockpit
5 KPIs max. Designed for C-level decision speed. Daily refresh from BigQuery marts. Mobile-friendly.
Anomaly alerting
Automated detection of traffic drops, conversion changes, revenue anomalies. Slack and email with severity classification.
Self-serve views
Per-team dashboards (marketing, product, finance) built on tested dbt marts with filters and drill-downs.
Automated reporting
Weekly and monthly reports generated automatically. Stakeholder-specific. PDF export.
5 KPIs. One screen. Daily refresh.
Executive dashboards with ruthless focus: no more than five KPIs, refreshed daily from BigQuery marts, mobile-friendly, with drill-down. One dashboard per decision-maker role.
What you get:
- 5 KPIs max aligned to strategic objectives
- Daily refresh from BigQuery marts, not raw platform data
- Mobile-friendly Looker Studio with drill-downs
- One dashboard per role: CEO, CMO, Head of E-Commerce
Self-serve analytics for every team.
Per-team dashboards connected to dbt marts. Filters, segments, date comparisons, and a data dictionary linking every metric to its source model.
What you get:
- Team-specific views: marketing, product, finance, CRM
- Built on tested dbt marts with documented metrics
- Filters, segments, and date comparison controls
- Data dictionary linking every metric to its dbt model
Detect problems before your CEO does.
Automated anomaly detection monitoring traffic, conversion rates, and revenue, with severity-classified alerts to Slack and email. Root cause suggestions included.
What you get:
- Traffic drops, conversion changes, revenue anomalies
- Severity classification: informational, warning, critical
- Slack and email alerts with contextual information
- Root cause suggestions from historical pattern matching
Reports that write themselves.
Automated weekly and monthly reports with stakeholder-specific views, PDF export, and scheduled delivery. Your team reads insights, not builds reports.
What you get:
- Weekly and monthly automated generation
- Stakeholder-specific views with role-based content
- PDF export and scheduled email delivery
- Key insights highlighted with trend analysis
From dashboard chaos to decision infrastructure.
Stakeholder mapping
Who makes which decisions? What data do they need? No dashboard without a decision it serves.
Data layer validation
Build or validate the dbt marts underneath. Dashboards on raw data are dashboards on sand.
Design
Wireframe each view: KPIs, filters, drill-downs. One question per visualization. Knaflic principles enforced.
Build
Looker Studio connected to BigQuery marts. Responsive, branded, documented, tested.
Operate
Anomaly alerting live, scheduled reports running, team trained. Intelligence retainer for ongoing evolution.
“Executive cockpits that answer questions in 3 seconds. Anomaly alerting that catches revenue drops before the Friday report.”
Decisions, not data dumps
Concrete deliverables your team can actually use. No slide decks, only tested artifacts.
Executive Dashboard
5-KPI cockpit in Looker Studio from BigQuery marts. Designed for C-level decision speed.
Operational Dashboards
Self-serve per-team views: marketing, product, finance. Filters, segments, date comparisons.
Alert System
Anomaly detection pipeline with Slack notifications, severity classification, root cause suggestions.
Report Templates
Automated weekly and monthly reports with insights, trends, and stakeholder-specific content.
Data Dictionary
Glossary mapping every dashboard metric to its dbt model with definitions and calculation logic.
Training Session
Team onboarding to dashboards and self-serve analytics. Your team operates without us.
23 implementation guides. Knaflic principles enforced.
One question per visualization, decluttered design, a single so what per view. Methodology documented across 7 dashboard guides, 7 monitoring guides, and Knaflic’s 9 dataviz principles.
Is this the right engagement for you?
Best fit
- Companies with existing BigQuery/dbt infrastructure
- Teams with multiple stakeholders needing different views
- Organizations suffering from dashboard fatigue
- Executives who want a single source of truth
Not ideal for
- Companies without a data warehouse (need Analytics Engineering first)
- Teams expecting real-time streaming (we build daily/hourly refresh)
Common questions
Why Looker Studio instead of Tableau or Power BI?
For BigQuery-native stacks, Looker Studio offers the best balance of capability, cost, and integration. We can work with Power BI if it is already your standard.
How often are dashboards refreshed?
Executive cockpits: daily. Operational dashboards: hourly if needed. Anomaly alerting: near-real-time.
Can you maintain dashboards after delivery?
Yes. Our Intelligence retainer includes dashboard maintenance, new view creation, and metric evolution.
Certified Analytics Engineer
DataBird 2025
GA4 Certified
GTM Server-Side Specialist
BigQuery Certified
Google Cloud
Enterprise Track Record
Carrefour. Airbus. Club Med. Ubisoft
Luxury and Premium Clients
Sezane. ByRedo. Valrhona
50 plus Client Engagements
Artefact. Sleekery. MadMetrics
Your warehouse is full of answers nobody is reading.
We turn tested data into dashboards that drive decisions. Not dashboards that raise questions.