Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
The world's largest leisure, travel, and tourism company operates five airlines, 400 hotels, and 16 cruise ships, managing vast amounts of distributed operational data.
Decentralized data management left non-technical staff overwhelmed by complex analytics tools, unable to locate data assets or derive insights...
“We wanted to be at the forefront of innovation, using a platform that could offer new data features and put us on the cutting edge of AI capabilities. So, I suggested we look at Snowflake.”
Integrated tourism group operating airlines, hotels, cruises, and travel agencies.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Filters missed "romantic but cheesy" requests. A 10-week AI prototype now maps conversational intent to real-time inventory.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Complex analytics tools overwhelmed non-technical staff. Now, an AI interface allows employees to query data using simple conversation.
The world's largest leisure, travel, and tourism company operates five airlines, 400 hotels, and 16 cruise ships, managing vast amounts of distributed operational data.
Decentralized data management left non-technical staff overwhelmed by complex analytics tools, unable to locate data assets or derive insights...
“We wanted to be at the forefront of innovation, using a platform that could offer new data features and put us on the cutting edge of AI capabilities. So, I suggested we look at Snowflake.”
Integrated tourism group operating airlines, hotels, cruises, and travel agencies.
Cloud-based data warehousing, processing, and analytics platform.
Related implementations across industries and use cases
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Filters missed "romantic but cheesy" requests. A 10-week AI prototype now maps conversational intent to real-time inventory.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
Simple questions demanded 45 minutes of SQL. An AI assistant now answers 70% of internal analytics, freeing the team from routine queries.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.