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
Pulling reports from scattered dashboards took two days. Now, employees query an AI assistant for instant commercial insights.
A telecommunications provider whose corporate services segment accounts for approximately two-thirds of its total revenues.
Generating strategic reports from multiple dashboards required extensive manual analysis, taking up to two days to complete. This delay in extracting...
“Analy representa uma mudança de paradigma na nossa cultura de gestão. Deixamos de ser uma empresa que apenas visualiza dados para nos tornarmos uma organização que conversa com eles e os transforma em ações estratégicas imediatas.”
Telecommunications and IT services provider for residential and business clients.
Provided Snowflake Intelligence to power Algar's 'Analy' conversational AI tool for internal operational productivity.
Algar Telecom's Business intelligence 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.
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Information scattered across platforms bottlenecked teams. Now, product managers use AI agents to instantly draft polished documentation.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Two staff spent a week manually processing ad data. Now, they query millions of records in 20 minutes for instant strategic updates.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Pulling reports from scattered dashboards took two days. Now, employees query an AI assistant for instant commercial insights.
A telecommunications provider whose corporate services segment accounts for approximately two-thirds of its total revenues.
Generating strategic reports from multiple dashboards required extensive manual analysis, taking up to two days to complete. This delay in extracting...
“Analy representa uma mudança de paradigma na nossa cultura de gestão. Deixamos de ser uma empresa que apenas visualiza dados para nos tornarmos uma organização que conversa com eles e os transforma em ações estratégicas imediatas.”
Telecommunications and IT services provider for residential and business clients.
Provided Snowflake Intelligence to power Algar's 'Analy' conversational AI tool for internal operational productivity.
Algar Telecom's Business intelligence 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.
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Information scattered across platforms bottlenecked teams. Now, product managers use AI agents to instantly draft polished documentation.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Two staff spent a week manually processing ad data. Now, they query millions of records in 20 minutes for instant strategic updates.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.