How to Transform Clinical Trial Management with Advanced Data Analytics

In the fast-evolving landscape of clinical trials, CROs stand at the forefront of innovation and operational excellence. However, navigating the complexities of trial management, from patient recruitment to regulatory compliance, presents a unique set of challenges.

1. How to Transform Clinical Trial Management A Modern Data Approach

2. Housekeeping 3 0-minute presentation with Q&A Type questions into the "question box" and submit throughout the presentation We'll send a copy of the deck and recording of the webinar in follow-up emails after the event Some key items before we get started

3. Meet Today’s Presenters Sr. Data Architect Ralph Jaquez Lead BI Analyst Meaghan Frost

4. About BrainSell The Growth Enablement Company Blueprint Digital Transformation Digital Strategy Process Mapping Change Management Leverage Data as an Asset Modern Data Platform Unified Reporting Executive Dashboards Modernize Technology Enterprise-level Architecture Automation Artificial Intelligence (AI) We help companies grow and scale.

5. Agenda 01 The Data Challenge for CROs 02 A Modern Approach 03 Data Spotlight 04  Q&A

6. Let’s Take a Poll Super spreadsheets that are hard to maintain Reports with numbers that don’t match Stale dashboards or reports Collecting data from multiple systems Taking more time than I’d like to collect and present the data What symptoms related to data are you experiencing?

7. Data Challenges for Clinical Research Organizations

8. The volume and complexity of data has exploded  Data collected in clinical trials contributes to the body of evidence used to support new medical interventions Data helps to maintain compliance with regulatory requirements Data is used to track quality assurance and monitor integrity and validity throughout the clinical trial Data: The Foundation of Clinical Trials and Research

9. Reliance on spreadsheets Multiple data sources create complexity Data quality and accuracy Resource constraints for building reports/dashboards Long lead times to compile and deliver reports Duplicated effort producing similar reports Common Challenges

10. Traditional Integration Methods

11. A Modern Approach

12. The Solution

13. Centralized source of truth Multiple data sources integrated and organized Timely delivery of data and reports Identify data quality issues faster Improve data accuracy Identify areas for process improvement The Outcome

14. Data Spotlight

15. Email [email protected] to schedule your assessment Data Readiness Assessment Assess your organization's current state Understand where you are in your data driven journey Receive tactical guidance to help accelerate your data modernization solutions Live demo of example solutions

16. Audience Q&A Have questions? We have answers.

17. THANK YOU FOR JOINING US! [phone] [email protected] www.brainsell.com