Overcoming Data Chaos: How tsworks Transformed a Hospitality Giant's Analytics

At a Glance

A leading U.S. hospitality brand, burdened by outdated data systems that hindered growth and agility, partnered with tsworks to embark on a transformative journey. We migrated their commercial analysis data mart from a legacy database to a cutting-edge Enterprise Data Warehouse (EDW), a pivotal move in their digital transformation strategy. Through meticulous planning and expert execution, tsworks delivered a customized EDW platform, empowering the client with real-time insights and streamlined reporting.

Key Takeaways

• Client's Pain Points: A major U.S. hospitality brand was grappling with outdated data management systems, causing missed opportunities and operational inefficiencies. They urgently needed to modernize their analytics to stay competitive.
• tsworks' Solution: We designed and implemented a state-of-the-art EDW platform, featuring a star schema in Snowflake and pipelines using Azure Data Factory. This solution optimized data integration, management, and reporting, transforming the client's data landscape.
• Quantifiable Results: The new EDW platform dramatically reduced data latency by 40%, enabling near real-time decision-making. It also empowered the client to make data-driven decisions with confidence, leading to increased operational efficiency and improved bottom-line results.

Introduction

In today's fast-paced hospitality industry, data is the key to success. However, our client, a major player in the U.S. market, was struggling to keep up. Their outdated data systems were slowing them down, costing them valuable time and resources. They needed a partner who could help them unlock the full potential of their data and gain a competitive edge.

Challenges and tsworks' Solutions

• Data Integration and Quality Nightmares: Inconsistent data formats and quality issues across legacy systems were creating a chaotic data landscape. tsworks' expert data engineers meticulously evaluated the legacy system and performed reverse engineering to create a future-ready data model.
• System Performance Bottlenecks: The existing system was buckling under the weight of increasing data volume and velocity. tsworks architected and developed a star schema model in Snowflake, a robust and scalable data warehouse structure, ensuring the client could handle any data challenge.
• Reporting Roadblocks: Cumbersome reporting processes were hindering effective decision-making. tsworks' data architects designed a customized reporting layer, providing the client with instant access to critical insights, previously buried in their legacy systems.
• User Adoption Fears: Anticipating resistance to change, tsworks developed a comprehensive training program, ensuring a smooth transition and empowering end-users to embrace the new tools and processes.
• Timeline Pressures: The client required a swift transformation. tsworks' agile approach and project management expertise ensured we delivered on time, without compromising quality.

Enterprise Data Warehouse Architecture

• Data flows seamlessly from various sources through Snowflake stages to dimensions and facts.
• This feeds a semantic layer for real-time and analytical reporting via Power BI/Tableau, putting actionable insights at the client's fingertips.

Implementation: A Collaborative Approach

tsworks worked hand-in-hand with the client's team throughout the implementation, ensuring a seamless transition and overcoming unexpected hurdles with agility. Our phased approach focused on:

• Design and Build (6 weeks): Developing the EDW platform, including the star schema model and pipeline creation.
• Data Delivery (2 weeks): Rapidly onboarding data onto the new platform and establishing the reporting layer.

Transformative Results

The new EDW platform delivered remarkable results, exceeding the client's expectations:

• Modernization: The outdated legacy system was replaced with a modern, agile commercial analysis data mart.
• Real-Time Insights: Data latency was slashed by 40%, enabling near real-time decision-making.
• Data-Driven Empowerment: Improved accuracy and transparency in performance indicators empowered the client to make data-driven decisions with confidence, driving operational efficiency and bottom-line growth.

Conclusion

The successful completion of the EDW platform showcases tsworks' ability to tackle complex data challenges and deliver transformative solutions. This case study is a testament to our commitment to empowering businesses with data-driven insights.