Overview

Engagement Overview

RVshare partnered with TO THE NEW to modernize its data landscape and enable real-time, analytics-driven decision making across its rapidly growing RV rental marketplace. The objective was to eliminate data silos, unify fragmented booking and customer interaction data, and equip business and leadership teams with instantaneous, accurate, and actionable insights.

To achieve this, we designed and implemented a cloud-native data ecosystem on AWS, featuring a centralized data lake, high-performance ETL pipelines, a scalable Redshift-based data warehouse, and dynamic Tableau dashboards. This transformation empowered RVshare with faster reporting, granular customer segmentation for marketing, and reliable executive analytics that support strategic marketplace growth.

Our Client

Travel & Hospitality United States
RVshare is the largest and first peer-to-peer RV rental marketplace in the United States, offering a diverse inventory that spans from luxury motorhomes to compact campers. With more than 100,000 active listings nationwide and a trusted network of over 60,000 RV owners, RVshare has redefined the recreational travel experience. The platform also pioneered industry-first features such as comprehensive rental insurance and 24/7 roadside assistance, ensuring both owners and renters enjoy a secure, seamless, and worry-free journey.
RVshare

Business Objective

They were facing the below challenges because of disconnected data sources, inconsistent reporting, and a lack of real-time visibility.

01

Fragmented data, making it difficult to analyze rental requests and customer interactions holistically

02

No real-time tracking of booking changes, limiting responsiveness

03

Marketing teams lacked precise customer segmentation for targeted campaigns

04

Leadership required daily, reliable insights to monitor performance across multiple domains

05

Dashboards needed accurate, up-to-date data to support strategic decisions

Business Solutions

TO THE NEW partnered with RVshare to build a future-ready data ecosystem capable of powering analytics, automation, and executive dashboards at scale.

  • Built on AWS S3, our data lake captured and stored real-time change data capture (CDC) from multiple sources, creating a single source of truth
  • Developed data pipelines to extract data from transactional systems and APIs, transforming and loading it into AWS Redshift for analysis
  • Using Apache NiFi, we implemented custom processors to handle complex data transformations, ensuring seamless data flow
  • Integrated Tableau with real-time CDC and adjustment data, empowering leadership with clear, interactive visualizations
  • Adopted SCRUM methodology to deliver iterative improvements, fostering collaboration and adaptability

Business outcomes

The new cloud-native data platform delivered measurable value across business, marketing, and leadership functions.

50% Automated pipelines slashed reporting times, enabling quicker insights

Real-Time visibility with instant access to booking adjustments and customer interactions

Unified data Source, a single, reliable view of rental, booking, and customer data eliminated silos

Targeted segmentation improved campaign effectiveness, boosting engagement

Future-Ready flexible architecture supports new data sources and evolving business needs

Tech stack

  • Data Engineering
  • Cloud & Storage
  • DevOps & Version Control
  • BI & Analytics
  • Workflow Management
Data Engineering
Cloud & Storage
DevOps & Version Control
BI & Analytics
Workflow Management