onX
GPS navigation leader automates data pipelines and workflows, cutting manual effort, improving data accuracy, and empowering the team for analysis, and growth.
Business goals
onX, a leading GPS navigation app for outdoor enthusiasts, needed to centralize and automate data from disparate sources covering 600,000 miles of U.S. trails. Decentralized systems and manual preparation created gaps, inaccuracies, and inefficiencies.
Seeking to centralize and automate data management, onX wanted to eliminate time-consuming manual work, improve data quality, enable deeper insights, and strengthen cross-platform integration. These changes would support continued growth without adding resources while ensuring a more accurate, reliable experience for users.
Integration Challenges
Before implementing Boomi Data Integration, onX’s data team struggled with inefficient data pipeline management, resulting in:
- Disparate Data: Data scattered and hard to access.
- Slow Preparation: Manual, error-prone data prep slowed analysis.
- Fragile Pipelines: Automated connections were lacking, making pipelines unscalable.
- Resource Constraints: Limited maintenance resources.
- Inflexible Workflows: Difficulty adapting to API changes or complex SQL updates.
These challenges in acquiring necessary data caused operational inefficiencies, significant reporting gaps, and diverted onX’s team from focusing on strategic initiatives.
How Boomi Helped
The Boomi Data Integration platform provided onX with:
- 200+ pre-built connectors and customizable REST API integrations
- Seamless integration with existing tools like Google BigQuery and Tableau for enhanced BI
- Automated data workflows for complex SQL transformations in BigQuery
- Version control for disruption-free management of data transformation logic.
- Real-time issue detection and proactive communication, minimizing downtime
This allowed onX’s data engineers and analysts to automate and scale data operations, enabling onX to focus on actionable data analysis rather than data management.
Results
onX reduced data preparation time with automated API updates using Boomi Data Integration, freeing resources for analysis to provide quicker, and more accurate insights for growth. It achieved reliable, scalable data pipelines with automatic API updates, eliminating downtime.
This improved BigQuery data depth, volume, and quality for powerful reporting. Automated workflows connected store data to sales systems, streamlining fulfilment. The company also gained agility by managing complex SQL queries and data workflows with version control.
