Welcome to Ennov Insider
Take advantage of the knowledge and best practices gained from more than 20 years of research, innovation and development for the health and life sciences sectors.
How are you going to be ready for IDMP compliance? Ennov has the answer.
Are you looking to maximize the efficiency of your electronic Trial Master File (eTMF) while minimizing effort and risk? Look
Why should you consider a Regulatory Platform instead of a standalone RIM solution? In less than 30 minutes, learn first steps, realistic objectives, and business benefits.
Explore concretes examples of divergence between a RIM data model and HA guidance data format.
Learn about enterprise-level data architecture using master level data management.
Discover the best practices for RIM Data modeling in the context of IDMP.
Episode 6 of our mini-series explores TMF Sponsor Access for Risk Management & Regulatory Compliance.
Episode 5 of our mini-series explores TMF Inspections for Risk Management & Regulatory Compliance.
Episode 4 of our mini-series explores TMF Quality for Risk Management & Regulatory Compliance.
Episode 3 of our mini-series explores TMF Timeliness for Risk Management & Regulatory Compliance.
Episode 2 of our mini-series explores TMF Completeness for Risk Management & Regulatory Compliance.
Episode 1 of our mini-series explores TMF Guide Review for Risk Management & Regulatory Compliance.
This webinar showcases one of our newest products – Ennov Analytics, our powerful yet easy-to-use reporting and data visualization software. This presentation focuses on its use in conjunction with Ennov CTMS, our highly capable Clinical Trial Management solution.
Learn how Ennov Analytics frees you from data gathering and spreadsheet manipulation by providing targeted dashboards where you can complete a precise analysis with just a few clicks.
Learn how to decrease the time required to implement Regulatory Information Management systems using a streamlined approach.
Learn how PV-Analyzer can help prepare statistical detailed analyses of safety data to reduce risk