Seven brands, SQL Server 2002 to BigQuery—Monday's request landed Wednesday. Now a Slack question gets answered in seconds.
One of the world's largest digital real estate platforms, operating seven brands across France, Belgium, and Germany on a patchwork of incompatible data stacks built up over 25 years.
With infrastructure spanning everything from 2002 Microsoft SQL servers to Google BigQuery, getting a top-level view of basic metrics like revenue or...
“Everybody had data in different places, so if we wanted a top-level view of basic key metrics like revenue or our customers, it used to take weeks of effort.”
Digital real estate tech company operating marketplaces and valuation services.
Cloud-based data warehousing, processing, and analytics platform.
Aviv Group's Data analytics is part of this use case:
Related implementations across industries and use cases
Telemetry from 6M machines was trapped in internal silos. Unifying it into a shared platform lets customers deploy predictive AI.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
15 data domains, 20-minute queries, some tables too large to touch. One hackathon later, AI fields half of all queries—customers included.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.
Seven brands, SQL Server 2002 to BigQuery—Monday's request landed Wednesday. Now a Slack question gets answered in seconds.
One of the world's largest digital real estate platforms, operating seven brands across France, Belgium, and Germany on a patchwork of incompatible data stacks built up over 25 years.
With infrastructure spanning everything from 2002 Microsoft SQL servers to Google BigQuery, getting a top-level view of basic metrics like revenue or...
“Everybody had data in different places, so if we wanted a top-level view of basic key metrics like revenue or our customers, it used to take weeks of effort.”
Digital real estate tech company operating marketplaces and valuation services.
Cloud-based data warehousing, processing, and analytics platform.
Aviv Group's Data analytics is part of this use case:
Related implementations across industries and use cases
Telemetry from 6M machines was trapped in internal silos. Unifying it into a shared platform lets customers deploy predictive AI.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Acquisitions fragmented data into silos; regulated datasets took months to unlock for AI. Unified governance made them available instantly.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
15 data domains, 20-minute queries, some tables too large to touch. One hackathon later, AI fields half of all queries—customers included.
Human sales teams clock out; buyers don't. Voice agents, accent-matched by region, now qualify and book site visits around the clock.
Surging delinquency burdened staff. Now, an AI assistant handles routine collections, freeing teams for high-touch, in-person engagement.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Energy market research that took weeks now closes same-day. Staff freed from chasing information to make the calls that matter.