Overview

A luxury hospitality group in Southeast Asia struggled to combine data coming from many systems and file types. Reports took days and delayed decisions. Krish Services Group built a modern analytics platform on Microsoft Azure. Leaders could view key business metrics within hours, helping teams act faster and manage properties more effectively.

Client Background

The client operates large number of hotels, resorts, and serviced apartments across Southeast Asia. Each property tracks occupancy, revenue, costs, and guest satisfaction using different tools and local systems. Data was spread across countries, languages, and formats, making it hard for leadership to get a single, clear view of business performance.

Challenges

• Data Silos Across Systems: Critical data was stored in flat files, SharePoint lists, and SQL databases, resulting in slow and error-prone reporting.
• Manual ETL Pipelines: Data was cleansed and combined manually in Excel, with no automation or lineage tracking.
• Delayed Access to Insights: Reports were refreshed weekly, which limited the ability to respond to performance changes in real-time.

Solutions

• Azure Synapse Implementation: We built a centralized SQL pool using Azure Synapse Analytics to ingest and manage data from multiple sources.
• Data Factory Pipelines and Cleansing: ADF and mapping data flows were used to automate transformations, deduplication, and quality checks.
• Power BI Dashboards: Visual dashboards enabled daily tracking of revenue, bookings, occupancy, and customer satisfaction metrics.

Technology in Use

Azure Data Lake

Azure Synapse Analytics

Azure Data Factory

Power BI

Business Value Propositions

• Faster Reporting Cycles: Reduced report refresh time from hours to a few hours, enabling same-day business reviews.
• Improved Data Governance: Established clear data controls and audit trails, improving trust and accountability for leadership teams.
• Wider Data Visibility: Enabled consistent access to key metrics across departments through centralized dashboards and reporting.
• AI-Ready Data Foundation: Created a structured data platform that supports future forecasting and advanced analytics initiatives.

Final Perspective

To facilitate quicker, data-driven operational and financial choices, Krish Services Group provided a scalable Azure analytics platform that unified complicated hospitality data, increased reporting speed, and offered leadership across hotels and resorts with timely, dependable insights.