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Project Duration
4 months
Client Industry
Hospitality and Travel

Target Markets
USA

LMBK Surf House

Analytics Pipeline for Hospitality Client to Improve Feedback Insights and Operational Efficiency

Technology Stack

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Client Overview

Challenges in Modeling Subscription and Business Metrics

LMBK Surf House by Venice Technologies is a hospitality brand offering boutique surf and wellness retreats in scenic destinations. They focus on delivering immersive guest experiences through personalized stays, community-driven activities, and sustainable living. By combining travel, technology, and wellness, LMBK provides a modern surf getaway enhanced by digital innovation and smart hospitality solutions.

Solutions Delivered

Centralized pipeline for guest and feedback data


Structured DBT models for efficient transformation


Real-time Looker dashboards showing guest KPIs

Unified data layer supporting business decisions

Team Composition

Data Engineer

GA4 Analyst / Implementation Specialist

Looker Studio Developer / BI Analyst

Data Analyst / Insights Specialist

Engagement Type

Hourly Contract

Key Challenges

Key Challenges in Guest Data Management and Analytics

Data Inefficiencies

Fragmented and inconsistent guest data slowed decision-making

Limited Feedback Analysis

No structured insights into customer reviews or on-site feedback


Manual Reporting

Operational teams lacked real-time visibility into performance metrics

Strategic Roadmap

To improve guest data management, we focused on streamlining ingestion and transformation processes to handle large volumes efficiently. We designed a flexible data structure that integrates both operational metrics and guest experience KPIs. By transforming raw feedback into clear, actionable insights, we aimed to enhance service quality. Additionally, we prioritized creating intuitive dashboards that empower non-technical teams to access and act on real-time data, driving informed business decisions.

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The project began with deploying GA4 to capture detailed, event-based guest behavior, enabling more granular insights. Using DBT, we cleaned and modeled complex feedback and interaction datasets to ensure data accuracy and usability.

Execution Approach

Centralized Job Data Infrastructure and Analytics

The project began with deploying GA4 to capture detailed, event-based guest behavior, enabling more granular insights. Using DBT, we cleaned and modeled complex feedback and interaction datasets to ensure data accuracy and usability.
All data was centralized into a BigQuery warehouse, providing a scalable and unified analytics foundation.
To maximize accessibility and impact, we designed interactive Looker Studio dashboards tailored for operations, marketing, and guest service teams. This holistic infrastructure empowered stakeholders with real-time, actionable insights, enhancing guest experience management and operational efficiency across the organization.

BUSINESS IMPACT

Real-Time Actionability
Reporting Efficiency
Personalized Insights
Enhanced Decision-Making

20%

Reduced guest issue response time, improving service quality.

30%

Enhanced resource allocation during peak hours using real-time feedback insights.

25%

Accelerated issue detection, enabling quicker action on service gaps.