Agency specialized in360º Reportingwith a unified, actionable digital dashboard.
We design executive dashboards that unify web, acquisition, business and operations in a single view. Fresh data, agreed definitions, readable charts and alerts when something falls out of range. Built for board meetings — not to decorate offices.
An executive dashboard is not about adding more charts. It’s about answering three questions at a glance: are we on track?, what’s failing?, what do I have to decide this week? Any dashboard that needs an expert next to you to read it is badly designed — no matter how pretty.
Typical dimensions of a 360º
Not every one is always included. We tailor the mix to business and audience.
Acquisition
Traffic, cost, CPL/CPA, channel mix, attribution. With reads by campaign, geography and device.
Behavior
Qualified sessions, engagement, conversion funnels, drop-offs. With qualitative crosses when relevant.
Conversion
Leads, sales, LTV, rate by channel and segment. With reconciliation between analytics and CRM/ERP.
Retention
Cohort analysis, churn, repeat rate, aggregated NPS. For businesses with continuous relationships.
Operations
SLAs, response times, queues, incidents. When the digital business has a visible operational component.
Financials
ROAS, margin by channel, net contribution. So marketing and finance speak the same language.
How data flows
From source to dashboard, with controls at every layer.
- L01
Sources
GA4, ad platforms (Meta, Google, LinkedIn), CRM (HubSpot, Salesforce), ERP, back-office. Official APIs or a server-side event CDN.
- L02
Ingestion
Managed pipelines (Fivetran, Airbyte) or custom. With schema validation, retry logic and failure monitoring.
- L03
Storage
Warehouse (BigQuery, Snowflake, DuckDB) with partitioning and dimensional modeling when volume calls for it.
- L04
Modeling
Transformations (dbt, SQLMesh) with data quality tests and living documentation. Business logic lives here — not in the dashboard.
- L05
Visualization
Looker Studio, Metabase, Power BI or custom. The "cosmetic" layer — the important work is already solved below.
Tangible deliverables
Concrete pieces ready to use in the board room.
Metrics dictionary
Document with every KPI defined: formula, source, owner. The source of truth for every data conversation.
Executive dashboard
Board-room view with the 5-8 key metrics and their variations. Designed for 60 seconds, not 30 minutes.
Operational dashboard
View for the executing team. More depth, filters, comparisons by channel/segment.
Alert system
Automatic notifications when a metric goes out of range. To the right channel (Slack, email) and with context — not just the number.
Architecture documentation
Data flow diagram, sources, transformations and responsibilities. So audit or an external partner can understand it.
Team handover
Training for the internal team to maintain and evolve the 360º without depending on external technical help.
Data governance principles
A 360º without governance decays in months. These are the five pillars.
- 01
One owner per metric
Every KPI has a person accountable for its definition and quality. Without this, any change becomes no one’s land.
- 02
Automated data quality
Tests running on every update: expected values, freshness, integrity. Failures go to Slack — not discovered in the meeting.
- 03
Documented changes
Any change in definition or calculation is documented with date and reason. Auditable to reconstruct historical comparisons.
- 04
Quarterly reviews
Every quarter, a review session with the business: which metrics are still useful, which are excess, which need to be added.
- 05
No vanity metrics
Any metric that doesn’t inform a decision leaves the dashboard. The list of "cool metrics that don’t serve" is long and needs pruning.
Honest questions before hiring
Can we use the 360º if we already have Looker/Power BI/Metabase?
Yes, that’s the usual case. We don’t propose changing tool if the one you have works. Value lives in data architecture, definitions and governance — not in the visualization layer.
How long until it’s operational?
It depends on the number of sources and the state of current analytics. With GA4 and an ad platform properly instrumented, the first version arrives sooner. If current analytics are dirty, we have to clean them first — we’d tell you clearly.
What about sensitive data (customers, sales)?
Processed under NDA and in your own infrastructure if the case requires it. We work with warehouses in your account (BigQuery, Snowflake in your cloud) without moving data to our systems.
Can we start with a small piece?
It’s the most common and the most sensible approach. An executive dashboard with 5-8 well-defined metrics is often worth more than a full 360º with everything. It grows in layers.
Will we get "trapped" with you afterwards?
No. The transformation code, documentation and credentials are yours. The internal team is trained. Many clients stay with us out of convenience — not technical dependency.
Does leadership decide with the data, or in spite of it?
Tell us what reports are looked at in committee and what questions remain unanswered. We’ll see if we can help and how.
Let’s talk?Analytics audit under NDA. No generic proposals.