The Insights Collaboration 2024

CARL MCDANIEL AWARD

AWARD AND RECIPIENTS

EVENT DATE:
March 21, 2023

The Carl McDaniel Award

At each annual conference, a UTA MSMR alumnus or advisory board member is awarded the Carl McDaniel Award for outstanding dedication and generous contributions to the MSMR Alumni Association and to the program as a whole.

The award is given in honor of Carl McDaniel, former professor emeritus and chairman of the marketing department at UTA. Dr. McDaniel’s extraordinary leadership at UTA between 1990 and 2006 fostered the development and growth of the MSMR program, which resulted in a new generation of skilled marketing researchers.

Recipients of the Carl McDaniel Award have shown amazing dedication to the MSMR program and selflessly given their time to advance the program and the future careers of students.

2022 Carl McDaniel Recipient

Past Award Recipients (hover over image for year)
2019 RECIPIENT

KRISTIN CHATILA

SR. ACCOUNT MANAGER AT DIRECTIONS RESEARCH

2018 RECIPIENT

ERIK MONTENEGRO

PRODUCT MANAGEMENT AT LOWE'S COMPANIES

2017 RECIPIENT

BOB ROGERS

FORMER DIRECTOR OF THE MSMR PROGRAM/CLINICAL PROFESSO

2016 RECIPIENT

JAMIE BAKER-PREWITT

SVP & DIRECTOR OF DECISION SCIENCES AT BURKE

2015 RECIPIENT

PAT BILLUPS

RESEARCH PROJECT MANAGER AT LONE STAR MARKET RESEARCH

2014 RECIPIENT

COLLEEN DOYLE

MANAGER OF CONSUMER INSIGHTS AT P.F. CHANG’S CHINA BISTRO

2013 RECIPIENT

CHRIS HAUCK

FOUNDER OF LYNX RESEARCH CONSULTING

2012 RECIPIENT

JERRY THOMAS

PRESIDENT/CEO OF DECISION ANALYST

2011 RECIPIENT

ALAN TRAVERSE

MANAGER OF MARKETING RESEARCH DEX MEDIA

MSMR COLLABORATIVE
MSMR PROGRAM

The MSMR is a practical, hands-on program designed to prepare students for careers in marketing research. Students learn how to meld logic with creativity, quantitative data with qualitative insights, and intelligence with intuition to solve marketing problems and create business opportunities. The program prepares students for business in the global economy by incorporating international examples wherever possible.

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