The Need for Adaptive Data Analysis in a Fast-Changing Clinical Environment

Sponsored by: Anju Software

Focused on:

  • Data Analysis

Date: 14 January


Time: 3PM London/10AM New York

How to get a unified view of private and public data to make the best data-driven decisions

Are you turning 50% of your data into actionable insights? This webinar will help you overcome the fear of the challenges related to data; allowing you to effectively analyze public data and make better, evidenced based decisions. Many companies are having the same conversations regarding data and what to do with it because there is no single source of truth in the public domain.

Keeping track of large volumes of data in a fast-changing clinical environment has proven to be very challenging. An automated process is required to help provide a trail marker as you hike through the massive amount of data in front of you.
By supplementing public and private data you can gain a complete view. You are creating a single source of trusted data for you, which will ultimately save you time and money.

We will be addressing the following commonly asked questions and more that will help you achieve your goals.

• Are registries equally updated?
• Is it time consuming to make data-driven decisions?
• How can you identify opportunities by understanding your clinical trials landscape?

We will also be having a Q&A section at the end where we will be addressing your own pain points.

Presented by

John Coritz,

Manager, US Data Divsion

John Coritz has almost 23 years’ experience in Clinical Trials Operations, Digital Technology and Strategic Clinical Planning. A firm believer in bringing all actionable business intelligence sources together to make educated business decisions.

Key Learning Objectives

  • How can we gather complete data information from Public/Private and Third Party sources?
  • What kind of data driven decisions are beneficial for my organization?
  • What kind of feasibility information is available for my organization?


  • R&D Operations
  • Medical Science Liaisons
  • Human Resources
  • Medical Writers
  • Project Management