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.
Client analytics required SQL queries only engineers could write. Now CSMs pull performance reports in minutes with plain language prompts.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Reactive support for 15M broadband upgrades drove high call volumes. Now, AI agents proactively text and call to schedule installations.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.
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.
Client analytics required SQL queries only engineers could write. Now CSMs pull performance reports in minutes with plain language prompts.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Reactive support for 15M broadband upgrades drove high call volumes. Now, AI agents proactively text and call to schedule installations.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Forty entities duplicated work, stalling claims for days. A global AI engine standardized workflows, cutting settlement time to one day.