Every data question sat in a central team's queue — their capacity the ceiling on business speed. Now any teammate asks in plain English.
India's leading entertainment technology platform for movie and live event ticketing, selling 22 million tickets a month to over 100 million monthly active users.
Every analytics request, whether from marketing, the executive team, or a business unit like live entertainment, had to be routed through a central...
“Genie has taken data access at BookMyShow from something only a handful of engineers could do to something any teammate across the company can do themselves in seconds.”
Online ticketing platform for movies, events, sports, and live entertainment.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
BookMyShow's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Cross-functional teams queued every data question—even simple ones—through a 3-day ticket backlog. Natural language queries made them self-sufficient.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Cross-functional teams queued every data question—even simple ones—through a 3-day ticket backlog. Natural language queries made them self-sufficient.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Complex headcount reporting meant tedious manual data slicing. Now, HR uses AI prompts to instantly generate CFO-ready talent insights.
Answering 'mediums or hards?' once meant pulling an engineer for minutes. Now the whole field's tire feedback surfaces in a chat query.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.
Every data question sat in a central team's queue — their capacity the ceiling on business speed. Now any teammate asks in plain English.
India's leading entertainment technology platform for movie and live event ticketing, selling 22 million tickets a month to over 100 million monthly active users.
Every analytics request, whether from marketing, the executive team, or a business unit like live entertainment, had to be routed through a central...
“Genie has taken data access at BookMyShow from something only a handful of engineers could do to something any teammate across the company can do themselves in seconds.”
Online ticketing platform for movies, events, sports, and live entertainment.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
BookMyShow's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Cross-functional teams queued every data question—even simple ones—through a 3-day ticket backlog. Natural language queries made them self-sufficient.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Cross-functional teams queued every data question—even simple ones—through a 3-day ticket backlog. Natural language queries made them self-sufficient.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Complex headcount reporting meant tedious manual data slicing. Now, HR uses AI prompts to instantly generate CFO-ready talent insights.
Answering 'mediums or hards?' once meant pulling an engineer for minutes. Now the whole field's tire feedback surfaces in a chat query.
With 99% of records missing metadata, teams sifted unlabeled databases. Now, AI generates column descriptions for data experts to verify.
Manual document summaries bottlenecked experienced staff. Now, AI drafts preliminary risk assessments, freeing teams for complex advisory.