Get Involved/Revenue & Data Discipline

HEDNARevenue & Data

One of Four HEDNA Disciplines

Revenue & Data Discipline

Where algorithmic pricing, revenue management systems, and the tension between AI-driven demand and measurable impact come together. This Discipline identifies the trends and technologies shaping hotel revenue — and helps hoteliers collect, analyze, and act on data to make smarter strategic decisions.

Mission

Better data, faster decisions

The Revenue & Data Discipline exists to advance the hospitality industry’s ability to make smarter, faster decisions powered by better data. We convene practitioners, technologists, and distribution leaders to define shared standards, close knowledge gaps, and translate emerging data capabilities into practical value for hotels.

As the landscape shifts, understanding what moves the revenue funnel — and how data supports every part of the business, from revenue and marketing to distribution and beyond — has never mattered more.

Vision

A hospitality industry where revenue and data professionals operate with clarity, confidence, and interoperability — where the right data is accessible, actionable, and trusted across the distribution ecosystem.

Strategic Pillars

Three problems worth solving together

01 · Accessible Data

Accessible Data

Breaking down silos across PMS, CRS, RMS, and channel data.

02 · Actionable Insights

Actionable Insights

Turning complex datasets into decisions that drive revenue.

03 · Industry Alignment

Industry Alignment

Building shared language and frameworks across vendors and operators.

Focus Areas

What the Discipline is working on

Algorithmic Pricing & Revenue Management

How RMS tools, dynamic pricing, and automation are reshaping revenue strategy.

AI and Measurable Impact

Where AI is changing demand and discovery, and how — or whether — its influence can be measured and attributed.

Data Standards & Interoperability

Breaking down silos across PMS, CRS, RMS, and channel data so information flows and can be trusted.

Distribution Economics

Acquisition cost, attribution, and the shifting economics of direct versus intermediated demand.

Automated Revenue Management & Messaging

Recommendations on data, messaging, and automation across the revenue funnel.

Leadership

Who’s steering the Discipline

Chaired by a practitioner, guided by a board member and two Future Leaders of HEDNA leads.

Anisha Yadav

Chair

Anisha Yadav

TRevPAR Insights

Miki Gulati

Board Member

Miki Gulati

Corporate Director – Distribution Partnerships, Omni Hotels

Sushant Mathur

FLoH Member Lead

Sushant Mathur

Senior Director, Data Intelligence & Insights, Sabre

Francesco Donisi

FLoH Member Lead

Francesco Donisi

Senior Technical Partnership Manager, Capital One

Current Initiatives

Active year-round, not just at conference

  • Webinars and blogs on revenue, data, and distribution topics
  • Main-stage and panel sessions at HEDNA events
  • Contributions to HEDNA research and insights
  • Year-round member discussion and collaboration

Get Involved

There’s a role for every level of time and expertise

1

Join the Discipline

Collaborate with peers on revenue, data, and distribution problems.

2

Author content

Develop articles and technical papers that move the industry forward.

3

Speak & present

Share your expertise on panels and webinars.

4

Serve on the board

Take on a leadership role guiding the Discipline’s direction.

Ready to shape where revenue and data are headed next?

The Revenue & Data Discipline is active year-round — there’s a seat for every level of time and expertise.

Join HEDNA