The AA
Self-serve analytics
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
- Up to 70% reduction in routine query resolution time
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
A retail cooperative owned by over 4 million members, prioritizing member value and sustainability amidst high inflation and shifting consumer habits.
Category managers struggled to perform simple lookups, such as checking the market share of bananas or honey, without navigating complex dashboards....
“It’s better to ask 100 questions and maybe get one faulty answer than not asking a question at all. If you can create this network of many decisions happening all the time, we will be in a better place eventually.”
Consumer cooperative operating grocery stores and online retail services in Sweden.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Coop's Self-service analytics is part of this use case:
Related implementations across industries and use cases
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Fragmented systems scattered updates across 800 franchises. On a unified platform, staff use Copilot to summarize missed discussions.
Dashboards for everything, yet any off-script question meant a ticket and days in the queue. Now managers just ask and get the answer.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
A retail cooperative owned by over 4 million members, prioritizing member value and sustainability amidst high inflation and shifting consumer habits.
Category managers struggled to perform simple lookups, such as checking the market share of bananas or honey, without navigating complex dashboards....
“It’s better to ask 100 questions and maybe get one faulty answer than not asking a question at all. If you can create this network of many decisions happening all the time, we will be in a better place eventually.”
Consumer cooperative operating grocery stores and online retail services in Sweden.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Coop's Self-service analytics is part of this use case:
Related implementations across industries and use cases
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Fragmented systems scattered updates across 800 franchises. On a unified platform, staff use Copilot to summarize missed discussions.
Dashboards for everything, yet any off-script question meant a ticket and days in the queue. Now managers just ask and get the answer.
10,000 supply chain workers spent half an hour manually searching compliance libraries. Now, an AI assistant finds answers instantly.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.