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.”
TUI Group's Self-service data analytics is part of this use case:
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.
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.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
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.”
TUI Group's Self-service data analytics is part of this use case:
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.
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.
Millions of queries across 1,300 topics overwhelmed support. Now, an AI agent resolves them instantly, freeing staff for complex cases.
Queries for "night view" missed "scenic evenings." AI now matches intent across 1.2M properties in <100ms, regardless of phrasing.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.