Modernizing Content Analytics for Smarter Hospitality Decisions

Overview

Industry: Travel and Hospitality

A leading multinational hospitality company wanted to build a cost-efficient content analytics model for data-driven insights and enable a self-service reporting solution for enhanced decision making.  

  • Enhanced data management efficiency and architecture for better visibility & decision-making
  • Optimized content analytics with cost-effective, scalable solutions
  • Empowered self-service analytics
  • Migrate and integrate customer consent data for accurate analysis
  • Streamlined data migration to Snowflake for high-performance analytics

Challenge

Optimizing Data Architecture and Content Analytics for a Leading Hospitality Company

The client wanted to strengthen their data architecture and streamline the way they manage and analyze content-related datasets. Their primary objective was to enhance data efficiency, improve visibility, and empower business teams with data-driven decision-making capabilities.

Key Challenges and Objectives:

  • Complex and Costly Data Architecture:
    The client’s existing data management process was reliant on a fragmented and expensive architecture that limited agility and scalability.
  • Need for Centralized and Scalable Data Management:
    The client sought a unified and optimized system capable of managing all content analytics datasets more efficiently.
  • Empowering Business Users:
    Enabling self-service capabilities was a key goal—the client wanted business stakeholders to independently access, explore, and act on data insights without heavy reliance on technical teams.
  • Content Performance Tracking:
    There was a critical need to measure and analyze key performance metrics, including:

  • Conversion rates for offer-related content
  • Click-through rates (CTR) for awareness-related content

Legacy Data Systems Hindering Migration and Scale
Transitioning content datasets from AWS into a more modern cloud-based architecture was a priority, but presented challenges such as ensuring data integrity during migration, building scalable, fault-tolerant pipelines and aligning data model design with long-term business goals

Solution

Delivering a Scalable, Integrated Data Architecture to Power Content Insights

To support the client’s goal of modernizing their data infrastructure and gaining deeper control over content and loyalty analytics, BlueCloud delivered a suite of strategic solutions designed for simplicity, scalability, and long-term business value.

Our team focused on building a cost-efficient content analytics model that could unlock powerful, data-driven insights and evolve with the client's growing needs. At the core of the solution was a modern architecture that enabled real-time visibility into content performance, improved user access to key metrics, and reduced reliance on manual reporting processes.

We also delivered a self-service reporting framework, empowering business users to independently explore data, generate insights, and make faster, more informed decisions—without requiring constant support from technical teams.

Together, these solutions positioned the client to move from reactive reporting to proactive strategy, using data as a key driver of content effectiveness and customer engagement.

Tech Stack

Impact

Enabling Scalable Content Analytics and Sustainable Data Infrastructure

Strengthening Data Architecture and Governance

BlueCloud provided foundational support to elevate the client’s data management capabilities by:

  • Integrating loyalty data for PWC into the analytics environment
  • Implementing OneTrust consent management for regulatory compliance
  • Establishing a robust Role-Based Access Control (RBAC) model within Snowflake
  • Assisting with data ingestion and providing ongoing technical support for the client’s data catalog tool

Simplifying and Centralizing Data in Snowflake

Data was centralized within Snowflake to streamline architecture and reduce operational complexity. This included:

  • Designing dynamic tables to optimize performance and adaptability
  • Seamlessly integrating AWS, Snowflake, Python, and PySpark to maintain powerful functionality without added complexity
  • Supporting User Acceptance Testing (UAT) to validate data readiness and ensure trusted access across teams

Driving Self-Service Analytics with ThoughtSpot

To empower the client’s business users with real-time insights, BlueCloud:

  • Built a liveboard in ThoughtSpot to monitor content performance and support data-driven strategy decisions
  • Created a self-service reporting solution, enabling business teams to explore well-organized, visually engaging insights on demand

Innovating Consent Management with Cloud-Native Architecture

BlueCloud designed an integrated architecture to help the client manage consent data internally—without reliance on third-party tools like OneTrust—delivering improved control, scalability, and efficiency

End-to-End Support for Data Modeling and Migration

  • Developed custom ThoughtSpot worksheets and models tailored to the client’s content strategy and data objectives
  • Built DevOps pipelines using AWS CloudFormation to migrate four datasets from AWS to Snowflake across multiple environments—ensuring performance, reliability, and future scalability

Through close collaboration with the client, BlueCloud successfully delivered a modern, efficient, and scalable data ecosystem—empowering teams with accurate insights, self-service capabilities, and a future-ready architecture that aligns with the organization’s evolving needs.

Operational Efficiency and Sustainable Architecture

  • Streamlined operational efficiency through enhanced data management and architectural optimization
  • Built a strong foundation for long-term success by delivering comprehensive documentation
  • Enhanced platform functionality to align seamlessly with the client’s evolving business and data needs

Modernized Data Management and Migration

  • Delivered a modernized, cost-efficient, and user-friendly data management process for analytical content data
  • Enabled a flexible, reliable analytics environment

Advanced Consent and Content Analytics

  • Designed and implemented a robust Content Analytics Data Model in Snowflake to support deep, reliable analysis
  • Built and embedded key business metrics to provide actionable insights into content performance

Empowered Self-Service & Business Intelligence

  • Enabled business intelligence for enhanced insights
  • Delivered a self-service reporting solution, enabling business users to explore data through visually rich, intuitive dashboards

KPI's