Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
A 100-year-old global appliance manufacturer transitioning to software-driven connected products, with IoT data scaling across regions in deeply nested, inconsistent formats.
Product teams had no direct access to appliance data, routing all insight requests to the data team via Slack. Even simple questions could take hours...
“The data was there, but it was messy and scattered. A lot of our work was just making it usable.”
Global manufacturer of household appliances for cooking, cleaning, and cooling.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Electrolux Group's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Disconnected systems trapped buyer data and complicated B2B orders. Now, AI-powered commerce unifies buying across showrooms and screens.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
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.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
A 100-year-old global appliance manufacturer transitioning to software-driven connected products, with IoT data scaling across regions in deeply nested, inconsistent formats.
Product teams had no direct access to appliance data, routing all insight requests to the data team via Slack. Even simple questions could take hours...
“The data was there, but it was messy and scattered. A lot of our work was just making it usable.”
Global manufacturer of household appliances for cooking, cleaning, and cooling.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Electrolux Group's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Disconnected systems trapped buyer data and complicated B2B orders. Now, AI-powered commerce unifies buying across showrooms and screens.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
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.