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Data & Reporting Pipelines

Turning fragmented marketing metrics into reliable, automated stakeholder dashboards.

Building reliable, automated dashboards and data pipelines that transform raw analytics and advertising data into readable stakeholder reporting.

Challenge

The Friction in Reporting Visibility

Dashboards that completely break every time an API or campaign naming convention changes.

Stakeholders drowning in raw vanity metrics rather than answering concrete business questions.

Unexplained discrepancies between Google Ads conversions and backend CRM data.

Marketing teams wasting valuable analytical hours manually compiling weekly spreadsheets.

Deliverables

What you get as a result

Dashboard Architecture

Looker Studio dashboard architecture and design.

Performance Reporting

Cross-channel marketing performance reporting.

Data Pipeline Creation

Ingesting data into the chosen data analytics engine.

Analysis

Using Python or SQL to prepare KPI ready tables using the medallion methodology.

Visualization

Using PowerBI, Tableu or Looker Studio to visualize data.

Process

How we achieve stability

1

Metric Definition

We align on the exact KPIs, dimensions, and reporting cadences required by stakeholders.

2

Pipeline Construction

We route data from GA4, ad platforms, and CRMs into a centralized environment (Looker Studio or BigQuery).

3

Dashboard Architecture

We design clean, readable dashboards that strip away raw data noise and focus on business questions.

4

Ongoing Maintenance

We manage API changes, platform updates, and metric drift to keep the reporting layer reliable over time.

Related Guides

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Ready to stabilize your Data & Reporting?

Schedule a technical audit or initial call to define concrete steps toward clean data and efficient systems.

Step 1

Technical Discovery & Audit

Step 2

Strategy & Implementation

Step 3

Documentation & Stability