Each acquisition added a 6-month data blackout. Ora now surfaces renewal scores and cross-sell signals across 500K clients as agencies join.
One of the top 25 insurance brokerages in the US, built through partnerships with more than 200 independent agencies and managing approximately 500,000 active client relationships.
As the company expanded through acquisitions, integrating each new agency's data took up to six months, delaying analytics and client insights for...
“Our goal is to deliver a consistent One Highstreet Experience (ONEHXP) for every colleague and client. Databricks provides the foundation that seamlessly connects data, analytics, intelligent automation, and AI to help us deliver that experience at scale.”
Insurance and financial services network for independent agents and agencies.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Highstreet Insurance Partners's Sales recommendations is part of this use case:
Related implementations across industries and use cases
Most staff worked around the data warehouse in Excel; new reports queued behind Qlik specialists. Now executives query KPIs from Teams.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Every buying signal required SQL before anyone could move. Now GTM teams and AI agents query the same governed data in plain language.
Manual segmentation couldn't keep pace. AI agents now predict the optimal message and timing for 75M members.
Siloed data capped Recharge at one quarterly campaign. AI now unifies usage signals to trigger eight personalized campaigns at once.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
30 minutes per letter, 1,000+ sent per rep each year. AI now drafts and transcribes; no message reaches a customer without a human review.
Each acquisition added a 6-month data blackout. Ora now surfaces renewal scores and cross-sell signals across 500K clients as agencies join.
One of the top 25 insurance brokerages in the US, built through partnerships with more than 200 independent agencies and managing approximately 500,000 active client relationships.
As the company expanded through acquisitions, integrating each new agency's data took up to six months, delaying analytics and client insights for...
“Our goal is to deliver a consistent One Highstreet Experience (ONEHXP) for every colleague and client. Databricks provides the foundation that seamlessly connects data, analytics, intelligent automation, and AI to help us deliver that experience at scale.”
Insurance and financial services network for independent agents and agencies.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Highstreet Insurance Partners's Sales recommendations is part of this use case:
Related implementations across industries and use cases
Most staff worked around the data warehouse in Excel; new reports queued behind Qlik specialists. Now executives query KPIs from Teams.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Every buying signal required SQL before anyone could move. Now GTM teams and AI agents query the same governed data in plain language.
Manual segmentation couldn't keep pace. AI agents now predict the optimal message and timing for 75M members.
Siloed data capped Recharge at one quarterly campaign. AI now unifies usage signals to trigger eight personalized campaigns at once.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
30 minutes per letter, 1,000+ sent per rep each year. AI now drafts and transcribes; no message reaches a customer without a human review.