Matillion
Self-service analytics
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
- 1 full-time analyst equivalent saved
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.
TUI Group's Self-service data analytics is part of this use case:
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.
Sales and marketing lacked coding skills to query data. Now, an internal AI prompt store lets them pull instant answers in Salesforce.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
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.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.
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.
TUI Group's Self-service data analytics is part of this use case:
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.
Sales and marketing lacked coding skills to query data. Now, an internal AI prompt store lets them pull instant answers in Salesforce.
Analysts spent 5 days coding reports. Now, business users query millions of records in plain English for instant results.
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.
Guests spent 40 hours planning trips using rigid search menus. Now, AI matches natural language queries to live flights and loyalty data.
Manual dispatching bottlenecked guest requests. Now, an in-app AI instantly routes tasks to optimal staff and tracks execution.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Seven analysts manually wrote notes for 200 products. AI agents now digest fact sheets to draft compliant commentary instantly.