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
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
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.
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
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
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.