American Museum of Natural History empowers staff to explore data across hundreds of sources

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The 150-year-old institution unified hundreds of data sources so non-technical staff could self-serve insights.

100s of sources

Unified for non-technical staff

Implementation Time

Corey Beale

Chief Revenue Officer

CorralData

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The Challenge

The museum needed to make data-driven decisions across hundreds of disparate data sources. Staff across marketing, content, and visitor experience operations lacked an easy way to access and understand data insights.

What They Built

CorralData unified the museum's many data sources into a single accessible platform. Staff could uncover insights and understand the underlying trends behind their metrics.

CorralData integrated key platforms including Tessitura, Delighted, the Explorer visitor experience app, and marketing tools, providing dashboards and deep-dive analytics. Staff explored KPIs such as NPS per ticket type, donations growth per segment, and visitation drivers.

AI Role

AI-powered analytics unifies hundreds of sources and lets non-technical staff query dashboards and deep dives, surfacing not just metrics but the underlying trends — the 'why' — behind visitation, donations, and satisfaction.

AI Model

Multi-model platform

Infrastructure

CorralData platform (dashboards, deep-dive analytics) • Tessitura, Delighted, Explorer visitor-experience app, marketing platforms as sources

Integration Points

Tessitura, Delighted, Explorer app & marketing tools unified in CorralData • Cross-source KPIs: NPS per ticket type, donations growth per segment, visitation drivers

Impact

Understanding the 'why'

Staff can better understand the 'why' behind their data.

Data-driven culture

Decision-making shifted to being rooted in data rather than opinion.

Sources unified

Hundreds of data sources across marketing, content, and visitor experience were made accessible in one platform.

Technology Utilized

Implementation Complexity

Customer Experience

Best Fit For

Large cultural or nonprofit institutions with many disparate data systems that want to democratize insight access across non-technical staff.

Corey Beale

Chief Revenue Officer

CorralData

Chief Revenue Officer at CorralData, the AI-powered data platform that unifies siloed marketing, sales, and operations data so teams can make faster, better-informed decisions.

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Industry:

Non-Profit & Social Impact

Business Function:

Marketing

Operations

Company Size:

Project Cost:

Cost not disclosed

Ownership:

Organization Type:

Nonprofit/Institution

AI Pattern:

Data Synthesis & Reporting

Value Type:

Customer Experience

AI Model:

Frequently Asked Questions

How did a large museum give non-technical staff self-serve access to data with AI?

CorralData unified the American Museum of Natural History's hundreds of data sources — including Tessitura, Delighted, and its Explorer visitor app — into one accessible platform with dashboards and deep-dive analytics, so staff could explore insights without technical help.

What AI tools and approach were used?

The experts used CorralData's platform for data synthesis and reporting, providing dashboards and deep-dive analytics over integrated sources such as Tessitura, Delighted, the Explorer visitor app, and marketing tools.

What results did the museum achieve?

Staff across marketing, content, and visitor experience gained access to hundreds of unified data sources, could understand the 'why' behind their metrics, and shifted decision-making to being rooted in data rather than opinion. Specific figures were not disclosed.

How long did the CorralData implementation take?

The source does not give a specific timeline. CorralData integrates existing sources through its managed platform, so staff reach self-serve dashboards without a long internal build.

Who is this data-democratization approach best for?

Large cultural or nonprofit institutions with many disparate data systems that want to democratize insight access across non-technical staff.