This webinar will introduce the reasons why we have big issues with data handling and storage. What is important, should be acknowledged, and trained in a company that depends on data. Not rocket science, but common sense and organized working. The uncertainty about correctly handled and stored data.
WHY SHOULD YOU ATTEND?
Everyone wants to do a good job. Data handling is a major part of your business process, and the employees are frustrated, because the integrity of data is not known, and the general guidelines are of no use - this is your lecture.
AREA COVERED
- Planning of collecting data from information (or a frame)
- Data collection, interim storage, copying, and distributing
- Data manipulating and transforming back into information
- Data and information storage and archiving
- Business process vs. resource management
- General vs. specific guidelines
WHO WILL BENEFIT?
- Clinical Operations Professionals
- Sponsors Clinical Study Groups
- Quality Assurance Professionals
- Data Management Professionals
- Electronic Systems Developers (also Big Data)
- Service Providers (for storing and maintaining any samples or data of importance)
Everyone wants to do a good job. Data handling is a major part of your business process, and the employees are frustrated, because the integrity of data is not known, and the general guidelines are of no use - this is your lecture.
- Planning of collecting data from information (or a frame)
- Data collection, interim storage, copying, and distributing
- Data manipulating and transforming back into information
- Data and information storage and archiving
- Business process vs. resource management
- General vs. specific guidelines
- Clinical Operations Professionals
- Sponsors Clinical Study Groups
- Quality Assurance Professionals
- Data Management Professionals
- Electronic Systems Developers (also Big Data)
- Service Providers (for storing and maintaining any samples or data of importance)
Speaker Profile
Willi Ramseier
Willi Ramseier is currently the owner and director of QVRAM GmbH of Basel, Switzerland. As an expert in quality assurance, system validation, risk awareness, and management, Ramseier is a reputed trainer, mentor, and quality compliance officer. Having worked at Hoffman-La Roche, he now consults across Europe as a process-validation expert at Synthes-DePuy-Johnston & Johnston Switzerland, a quality consultant and CSV advisor, and GxP Workshop Trainer for a CROs in Cologne and Dresden. He also is a teacher and lead auditor for ISO 9001:2015.
Upcoming Webinars
Zero Acceptance Sampling to Reduce Inspection Costs
Project Management for Non-Project Managers - How to commun…
Why EBITDA Doesn't Spell Cash Flow and What Does?
FDA Compliance And Laboratory Computer System Validation
Workplace Investigations 101: How to Conduct your Investiga…
Do's and Don'ts of Documenting Employee Behaviour, Performa…
Fostering a Culture of Respect: Eliminating Gossip, Rumour…
Gossip-Free: Leadership Techniques to Quell Office Chatter
Human Error Trends as AI Enters GMP Operations: What QA Lea…
2026 EEOC & Employers: Investigating Claims of Harassment …
Stop Letting Toxic People Control Your Day
AI for Excel Professionals: Enhancing Productivity with Cha…
Building a High-Performance Team in 90 Days
Introduction to Microsoft Power BI Dashboards
Bootcamp for New Managers and Supervisors: Develop These Es…
Dealing with Difficult People: Managing Strong Personalitie…
The Perfect Storm Coming to Healthcare: Value Based Care Me…
Excel - Lists and Tables - A Beginner's Guide to Managing L…
Stop Letting That Difficult Person Ruin Your Day: Effective…
Reinvent Your HR Department with ChatGPT
Using Claude in Excel for Productivity, Automation & Data A…
DOL Reverses Course on Independent Contractor Rule for 2026…
FDA Technology Modernization Action Plan (TMAP) and Impact …
GROUPBY and PIVOTBY functions. Pivot table killers?
Discover how Emotional Intelligence turns AI from a technic…
Sunshine Act Reporting - Clarification for Clinical Research
FDA Recommendations for Artificial Intelligence/Machine Lea…
Cleanroom, Microbiology and Sterility Assurance Practices f…
Faster, Better Talent Acquisition: Leveraging AI & ChatGPT …
Data Integrity and Privacy: Compliance with 21 CFR Part 11,…
FDA Audit Best Practices - Do's and Don'ts
Medical Device Hazard analysis following ISO 14971
Interactive dashboards & analytics in Excel