ON-DEMAND

More with SAS: Increase reusability and shareability of SAS code by building an interactive user interface

Enhance user experience and democratize analytics with an interactive interface on your SAS code. Also helping you automate day-to-day tasks like data preparation, modelling and analysis activities for a clinical study.

Automate baseline characteristics and demographics summary, adverse events summary, TLF generation, validation checks, and so on.
Increase code reusability and shareability with no code low code approach.
Collaborate using the custom steps Git repository.

Why Watch?

Develop flows in SAS Viya and how it helps improve automation.
Purpose and relevance of custom steps in clinical trial analysis and submission.
Collaborate using Git repository.

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Speakers

Ajay Tomar

Practice Lead - Healthcare and Life Sciences,
SAS India

Healthcare and Life Sciences practice lead as part of the customer advisory group at SAS India. Over 25+ years of consulting experience in engineering, delivery, practice, and solutions across pharma R&D, manufacturing and commercial domains. Postgraduate in computer applications from Delhi University. His association with the Life Science domain goes back two decades when he started working as an eCRF database developer - late-stage trials for a global pharma. In his prior roles, he has built CDISC practice grounds up from zero to 150+ resources.

Ashwini Reddy

Senior Customer Success Manager,
SAS India

With over eight years of experience, Ashwini has expertise in customer success, education, consulting, content development, and research. She has driven adoption strategies in the Pharmaceuticals, Healthcare, and Life Sciences industries and has served as a trainer in analytics, fraud management, risk management, and programming for clinical trials. Her consulting experience spans business analytics projects across insurance, healthcare, banking, finance, retail, and utilities. Additionally, she has contributed to content development on topics such as programming for clinical trials, analytics in healthcare and life sciences, and risk management. As a first author, her research publications include studies on the cost burden of cancer treatment in India and disease incidence analysis using IDSP data. Academically, she holds an M.Sc. in Health Informatics, and a B.A. in Economics and Statistics, and was recognized as a Fellow of Future Leaders in Development in 2015.

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