From Data Collection to Decision Infrastructure: Redefining KPIs and building a decision-making foundation with GA4

Tools	GA4, Looker Studio, BigQuery
Key Challenges	Misaligned KPIs, analysis dependency on individuals, lack of connection to decision-making
Industry	Entertainment (US-based global company)
Company Size	Approx. 3,000 employees
Timeline	2024 (approx. 6 months)
Scope	Data strategy design, KPI redefinition, dashboard development, global alignment

Background

A global entertainment company headquartered in the United States had already implemented GA4 as a unified tracking platform.

However, KPI definitions varied across regions and teams, and reporting remained a manual, operational task.

The core issue was not data collection, but interpretation and utilization.

There was no foundation to translate data into actionable insights for investment and optimization decisions.

KPI design: Redefine metrics aligned with business outcomes
Visualization: Build a shared dashboard for decision-making across teams
Enablement: Establish a process for data-driven optimization and decision-making

KPI misalignment: Analytics metrics were not aligned with business outcomes
Operational dependency: Analysis relied on specific individuals
No decision linkage: Reports did not lead to actionable decisions
Global coordination: Required alignment across multiple regions and stakeholders

Rather than focusing on tools, we designed a structure that connects data to decision-making.

KPI framework: Rebuilt metrics based on business goals
Definition alignment: Standardized KPIs across regions and channels
Dashboard design: Structured insights for fast and clear decision-making
Optimization guidance: Provided data-backed recommendations for channel investment

Decision infrastructure established: Executives can quickly assess business performance
Faster optimization cycles: Data directly informs actionable improvements
Global KPI alignment: Standardized metrics across regions
Improved investment decisions: Clear visibility into channel contribution and ROI

This project was not about improving analytics tools.

It established a foundation where data directly informs business decisions.

By connecting measurement, interpretation, and action,

the organization shifted from reporting to continuous optimization.