Aggregating revenue data for seamless analysis

Nelson Thomas
Feb 26
1 min read

LIGARE needed a centralized system to track revenue across multiple Stripe accounts. Their existing process required manual review across separate dashboards, which created:

Fragmented revenue visibility
Time-consuming reporting processes
Increased risk of human error
Lack of a unified internal data source
Difficulty generating accurate performance insights

Without automation, revenue data remained siloed and inefficient to manage.

The Solution

TeachOne designed and implemented a fully automated revenue aggregation system. The system leveraged:

Native Stripe AI tools (SQL).
Automated data extraction workflows.
Third-party database infrastructure.
Structured data normalization.
Centralized dashboard architecture.

Scope of Work

Data migration from the existing platform to Google Sheets.
Data cleanup and organization in Google Sheets.
Automate data reporting and export using Stripe (AI) + SQL.
Automate data input into a Google Sheet using custom-configured APIs.

The Results

Centralized Revenue Visibility LIGARE now has one unified location to view and manage all internal revenue data across multiple Stripe accounts.

Fully Automated Workflow The system operates hands-off. Revenue data updates automatically, eliminating the need for manual data collection or reconciliation.

Reduced Operational Friction By eliminating repetitive manual reporting tasks, LIGARE can focus on strategic decision-making rather than data gathering.

Scalable Infrastructure The system was built to scale as additional Stripe accounts or revenue streams are added without increasing complexity.

Strategic Outcome

LIGARE now operates with:

A centralized revenue database
Real-time financial visibility
Automated data synchronization
Reduced human error
A streamlined internal reporting process

Instead of logging into multiple Stripe dashboards and manually entering data across various locations, Ligare can log in to a single system to see everything it needs.