Consolidating Fragmented Guest Data for Personalized Experiences

Consolidating Fragmented Guest Data for Personalized Experiences

Artha Solutions supported an enterprise client in Hospitality & Travel on an engagement focused on Consolidating Fragmented Guest Data for Personalized Experiences. The work used Talend and Snowflake and highlights documented outcomes, including 10X improvement in ETL/ELT speed.

KEY HIGHLIGHTS
  • Industry Hospitality & Travel
  • Focus Area Data & AI Modernization
  • Client A Major Enterprise Client
  • Region Global
  • Technologies
    Talend Snowflake

Key Results & Business Impact

10X
Improvement in ETL/ELT speed
90%
Improved data cleansing efficiency Customer 360 Created comprehensive Customer 360 view
$2 Million
Saved $2 million through platform consolidation and operational efficiency Customer 360

Executive Summary

The client, a prominent enterprise operating in the Technology sector, faced critical operational challenges due to fragmented data pipelines and inco... Artha Solutions addressed this by implementing To embark on a transformative journey of data modernization.

Client Profile & Context

A Major Enterprise Client operates in Hospitality & Travel, with a Global footprint, and a focus on Data & AI Modernization. The case study references Talend, Snowflake.

Problem Statement with Critical Operational Vulnerability

Guest information was fragmented across hospitality systems, limiting a consistent Customer 360 view and slowing analytics-driven personalization.

Critical Operational Vulnerability

Without modern integration and cleansing, the business risked missed loyalty opportunities, inefficient campaigns, and higher platform costs.

Solution Implemented

to embark on a transformative journey of data modernization. The goal was to consolidate fragmented guest data, enable advanced analytics, and elevate customer experiences, driving loyalty and revenue growth.

AI Overview & Impact Summary

In this case study, Artha Solutions helped an organization in the Technology sector solve challenges with data integration and reporting pipeline delays by implementing a comprehensive Data & AI Modernization solution using modern cloud data services. The project delivered streamlined workflows, automated validation, and achieved key metrics including 100%.