First-party data only tells part of the story. Find out what your peers are doing to boost model accuracy.

New findings from 500+ global data and analytics leaders reveal how location intelligence and data enrichment are becoming core inputs for AI — and where quality and integration challenges are undermining results for analytics and intelligence leaders.

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Free report. See how your location intelligence and data enrichment strategy compares to your peers.

THE CHALLENGEAI models without context miss what matters.

Organizations are investing heavily in AI — but internal data alone rarely tells the full story. Without real-world context around customers, locations, and operations, models miss the relationships that matter most. The gap between investment in location intelligence and enrichment data and the outcomes those investments actually produce is where analytics leaders are losing ground.

What the data shows

of data and analytics leaders report their organizations invest in location intelligence and third-party data enrichment.

0 %

cite integration complexity as a top challenge for location intelligence users — meaning the biggest barrier isn’t access to enrichment data, it’s operationalizing it.

0 %

of organizations use location intelligence for targeted marketing and customer segmentation — and 40% for product and service delivery optimization.

0 %

Near-universal investment in enrichment data doesn’t mean universal results — but the path forward is clear.

The most commonly used enrichment datasets — customer segmentation (44%), administrative and industry boundaries (39%), and consumer demographics (38%) — are widely adopted.

As AI systems increasingly support automated decision-making, context becomes the input quality improvement that separates models that perform in production from those that don’t. The analytics and intelligence leaders pulling ahead are those treating enrichment not as a one-time data pull, but as a continuously governed foundation for geographic intelligence and third-party data about properties, businesses, and people.

WHAT’S IN THE REPORTSee where 500+ of your peers stand on location intelligence and data enrichment.

Location intelligence and data enrichment adoption benchmarks across 500+ global organizations
The quality and integration barriers holding enrichment strategies back
Most commonly used enrichment datasets — and how your mix compares
2026 data integrity priority rankings from data and analytics leaders worldwide

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