Problem Statement
The company, operating in the travel and hospitality sector, struggled with inefficient data collection and analysis processes. Their inability to derive meaningful insights from guest feedback and operational data hindered their ability to improve guest satisfaction and optimize operations.
Approach & Solution
We crafted a robust data management solution using Google Cloud Platform (GCP) to resolve the data inefficiencies and improve feedback analysis.
- Google Analytics 4 (GA4) was integrated to capture over 10,000 monthly guest interactions, ensuring a comprehensive data set for analysis.
- Implemented BigQuery as the centralized data warehouse, consolidating data from multiple sources to improve accessibility and analysis.
- Used DBT (Data Build Tool) for cleaning and transforming raw data, facilitating smoother analysis and reporting.
- Created custom dashboards in Looker Studio to provide real-time visibility into guest feedback and operational metrics, enabling quick decision-making.
Results & Outcomes
The improved data collection and streamlined analytics enabled the company to identify service areas needing improvement much faster. This helped reduce response times to guest issues by 20%, and feedback insights allowed better resource allocation during peak times, contributing to more efficient operations and enhanced guest satisfaction.
Tools & Technologies used
- GCP
- Google Analytics 4 (GA4)
- BigQuery
- Looker Studio
- DBT (Data Build Tool)
.png)
.png)
