Back to portfolioGet in touch

Case Study 02 · Building an enterprise data product for 18,000+ users

Turning enterprise data into a product people could actually use.

A $8M business intelligence and data-warehousing initiative inside a $40M+ Oracle Retek implementation at Walt Disney World — product leadership at the intersection of business, technology, data, and experience.

$8M
BI / data-warehousing initiative
18,000+
Users supported
$40M+
Broader Oracle Retek implementation
End-to-end
Enterprise data & technology transformation
01 · The challenge

The problem wasn’t a lack of data. It was access to useful information.

Disney was implementing a large-scale Oracle Retek environment and needed business intelligence and data warehousing capabilities that could translate complex enterprise data into information business users could actually act on. My role sat at the intersection of business, technology, data, product, and experience.

02 · My role

Product leadership across the entire lifecycle.

Discovery
Requirements
Data strategy
Product definition
UX
Implementation
Testing
Rollout
Adoption
03 · Product challenge

Translating technical complexity into business decisions.

The challenge was never simply:

“Build a data warehouse.”

It was:

“How do we make a complex enterprise information environment understandable, discoverable, and useful to thousands of business users?”

04 · Stakeholder map

Business, product, and technology — connected through one role.

Business stakeholders — merchandise leadership, business users, operational teams
Product — requirements, prioritization, information architecture, experience
Technology — Oracle / data warehouse, engineering, implementation
End users — 18,000+ users
05 · Product definition

My job was to connect all three.

Business need

“What decisions need to be made?”

Data capability

“What information exists?”

User experience

“How should users discover and understand it?”

06 · Enterprise information discovery model

Making a complex information environment discoverable.

Raw enterprise data
Data warehouse / BI layer
Role-based information views
Business decision

Representative reconstruction based on my role; proprietary Disney information and screens are omitted.

07 · Product leadership

End-to-end product ownership.

Product requirementsStakeholder alignmentData strategyUXImplementation coordinationTestingRolloutAdoption
08 · Result
18,000+
Enterprise users supported
$8M
BI / data-warehousing initiative
$40M+
Broader enterprise Oracle Retek implementation
09 · Why it matters
Twenty years later, the technology has changed dramatically. The product challenge hasn’t.

Organizations still need leaders who can translate complex technical capabilities into products that solve real operational problems, align diverse stakeholders, and deliver measurable enterprise value.