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.
The math was solid; only data scientists could read it. An AI agent now translates site predictions into plain language answers instantly.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
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.
The math was solid; only data scientists could read it. An AI agent now translates site predictions into plain language answers instantly.
Scheduling a single interview took days across a 20-step process. SIEA now books in real time—record: 9 seconds.
Pulling answers from a sprawling customer dataset once meant weeks of SQL; now anyone asks in plain language and explores it in seconds.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.