Home / Intelligence / Webinars / Trinity MMx Studio | Lunch and Learn
Available On Demand
Join Trinity Life Sciences for a virtual lunch and learn where Ally Calderone, Executive Director of Analytics Client Development, Nabha Subramanya, VP of Data Science and Anushank Anand, Director of Analytics will demonstrate Trinity MMx Studio.
Trinity MMx Studio is a unique offering that integrates industry benchmarking from TGaS Advisors to provide Marketing Mix modeling with context to life sciences organizations.
- Leverage benchmarking insights to calibrate cost and allocation, identify areas of excellence, capture opportunities for improvement and pinpoint white space
- Easily self-service ongoing model development and training, simulation and insights generation
- Build a complete view of past, present and future strategies and tactics
Featuring
Ally Calderone
Executive Director,
Analytics Client Development
Nabha Subramanya
Vice President,
Data Science
Anushank Anand
Director,
Analytics
Complete the form below to view the on-demand webinar.
By submitting this form, creating an account, and/or using our website (or using our Services) you agree to our Privacy Policy. Information provided by you is stored in our database and may be used for sending you additional information about Trinity (including Trinity’s partners and affiliates) and our products and services. Such information may be transferred for this purpose to Trinity and affiliates in other countries. If you would like to opt out in the future, please email _compliance@trinitylifesciences.com.
This webinar will be hosted within the ON24 platform, which requires the usage of Javascript and Cookies. Please see ON24’s Privacy Policy for more information.
*Gartner, Life Science CIOs: Reinvigorate Your D&A Capabilities With a Modern Commercial Intelligence Platform, Animesh Gandhi, published 13 May 2024.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally. All rights reserved.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Related Intelligence
Case Studies
HCP-level Site Alert Predictions
Trinity was able to develop an advanced machine learning algorithm to predict potential site alerts for HCPs in the target universe
Read More
Case Studies
Hyper-personalized HCP Recommendations
Trinity was able to deploy a solution in 3 weeks to increase market share of target prescribers through an AI-powered Next Best Action model
Read More
Case Studies
Early Adopter Identification Engine
In order to plan and efficiently utilize their sales and marketing efforts, a mid-sized biopharma client wanted to identify HCPs likely to adopt their drug in the early stage of launch
Read More