PMSA Virtual University: Webinar Archive

With a solid foundation of the data resources, the goal of the Virtual University is to establish a venue for discussion & collaboration on best practices in analytics, marketing and sales operations.

Daiichi Sankyo Inc Case Study Sponsored by Ataccama I Master & Reference Data Management for the Pharma Industry: Drivers & Opportunities

October 2020

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Identifying Potential Undiagnosed Patients at Scale

August 2020

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Power of Analytics to Optimize Promotional Investments As We Stabilize and Move Towards Reopening

August 2020

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Revisiting Commercial Analytics for Effective Customer Engagement in the New Normal

August 2020

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Leverage Real World Data for Building Robust Inputs for a Successful Forecasting Model

July 2020

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Is COVID-19 Accelerating The Pharma Industry’s Journey Toward Omnichannel Customer Engagement?

July 2020

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Elevate Your Market Access Intelligence to Identify Targetable Payer and Provider Segments

June 2020

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Combine Advanced Analytics and Real-World Data to Accurately Identify Treatment Drivers

May 2020

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A Strategic View of the Economic Effects of COVID-19 on Two Processes: Brand Financial Forecasting and Marketing-Mix Analysis

May 2020

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Shorten Cohort Definition Times for RWE/HEOR Projects with Iterative Web-speed Creation and Visual Comparison of Patient Populations

May 2020

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Managing Incentive Compensation During COVID-19: Point-of-view on Managing Sales Force Incentive Program Strategy

April 2020

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From Multichannel to Omnichannel: How AI/ML Techniques Help Pharma Organizations Achieve Customer-Centricity, Part 2

January 2020

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From Multichannel to Omnichannel: How AI/ML Techniques Help Pharma Organizations Achieve Customer-Centricity, Part 1

January 2020

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How to Derive Payer Insights from Specialty Pharmacy Data

December 2019

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Shattering Commercial Silos

October 2019

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Oncology Forecasting Session 2: Sourcing, Adapting and Integrating Data

September 2019

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Oncology Forecasting Session 1: Considerations for Design, Modeling and Alignment

September 2019

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Complexity and Network Modeling – Application in Pharma Commercial Operations

August 2019

Note: Videos played during the webinar can be accessed at the links below:
Video #1: SD Demo
Video #2: Real Games Demo
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Improving Completeness and Accuracy of Real World Data

August 2019

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Using Patient Data to Better Understand Disease Progression

July 2019

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Using Closed-Loop Measurement to Take your DTC Marketing to the Next Level

June 2019

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Use of AI/ML Techniques in Sales Planning and Operations

May 2019

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Application of Analytical Models in Commercial Deployment and Operations: Current State and Evolving Industry Trends

May 2019

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Improving Targeting and Call Plans with Inclusion of Managed Care and Health System Considerations

May 2019

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How to Drive Earlier Diagnosis in Rare Disease with AI

April 2019

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Readiness for Machine Learning – Data, Tools, People, and Process

April 2019

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HCP Engagement and Digital Strategy Relook

December 2018

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Launch Archetypes: The Bedrock of Successful Launch Strategies

November 2018

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Innovative Machine Learning Methods for Proactive and Precision Targeting

October 2018

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Efficient Roster Management – Tactical Approaches for Sales Operations Leaders

Spring/Summer 2018

Session 1: The Importance of an Efficient, Effective and Integrated Roster Management Process

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Session Two: Integrating Roster Management with HR, Alignments and Incentive Compensation Systems

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Session Three: Transforming the Roster Management Process to Analytically Evaluate Territory Vacancies

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Data Intelligence on Identities and Behavior for Life Sciences

Spring 2018

Session 1: Measuring the Impact of Near Real-Time Medical Claims to Target Physicians with Newly Diagnosed Patients

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Exploring The Patient as a Person

WInter 2018

Session 1: Patient Ecosystem: Gaining a Human Perspective of the Impact of Disease

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Session 2: The Good, the Bad, and the Ugly: A Practical Guide to Real-World Data

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Session 3: Integrating Real-World Data - How to Assess the Value

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Session 4: Protecting Privacy in the Age of Patient Centricity

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Sales Compensation in the Pharmaceutical Industry

Fall 2017

Session 1: Pharma Sales Comp 101

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Session 2: Pharma Plan Design & Modeling

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Session 3: Innovations in Pharma Sales Compensation



Digital Media - Gaining a 360 Degree View of the Customer

Summer 2017

Session 1: The Digital Media Revolution

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Session 2: The Horizon is Broad and Vast and Moving Faster Than Ever!

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Session 3: Knowledge is Power, We Need to Go Nuclear

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Session 4: Ask the Experts: Their Perspective of Healthcare's Digital Evolution




Know Your Customer: Learn How You Can Leverage Data Insights to Better Know Your Customers Across Commercial, Compliance and Clinical Applications

Spring 2017

Session 1: The ABCs of IDNs – Systems of Care Case Study

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Session 2: Global Transparency Reporting

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Session 3: Gaining a Competitive Advantage Through “Near Real Time” Medical Claims Data

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Session 4: Making An Earlier Impact on Health and Outcomes – Why Wait?

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Pharma Quotas

Summer 2016

Session 1: Core Approaches to Pharma Quota Setting

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Session 2: How to Leverage Advanced Data Sets in Pharma Quota Setting

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Session 3: Best Practices for Ongoing Management of Quotas

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Session 4: Quotas and Incentive Compensation

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New Perspectives on Secondary Data

Spring 2016

Session 1: Inference, Visualization and Dashboards from Claims and EHR

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Session 2: Integrated Networks and Local Opinion Leaders

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Session 3: Predicting Payer Reimbursement and Policy Decisions

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Session 4: Affiliation Structure and Institutional Control Over Prescribers

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Data and Analysis: The Data Zoo and the Secret Sauce

Spring 2016

Session 1: The Data Zoo

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Session 2: The Secret Sauce

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Sales Planning & Operations Webinar Series

Fall 2015

Session 2: Sales Force Sizing & Portfolio Optimization

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Session 3: Territory Alignments & People Placement

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Session 4: Targeting & Call Planning

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Session 5: Incentive Compensation

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Data Training Webinar Series

Summer 2015

Session 1: Learn about core pharmaceutical datasets - retail and non-retail.

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Session 2: Dig deeper into analytics with APLD, EMR, and Specialty data.


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Session 3: The world of big data coming from the evolving digital world.


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Session 4: Understanding data behind the complex new world of health care involving IDNs and ACOs.

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