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Lessons learnt from life sciences content migrations

Lessons learnt from life sciences content migrations

By Frank D'Entrone | September 26, 2022
Digital transformation in life sciences: ensuring data is fit for future purpose

Digital transformation in life sciences: ensuring data is fit for future purpose

By Frank D'Entrone | July 1, 2022
Don’t be sidetracked by EMA’s DADI curveball: data is still the goal

Don’t be sidetracked by EMA’s DADI curveball: data is still the goal

By Karmen Umek Luzar | June 20, 2022
Beware the inflated promises of AI in accelerating data migration

Beware the inflated promises of AI in accelerating data migration

By Markus Schneider | June 3, 2022
Successful global data transformation projects start with strong global teams

Successful global data transformation projects start with strong global teams

By Thomas Andersson | April 28, 2022
Content consolidation: what do you really need from a unified DMS?

Content consolidation: what do you really need from a unified DMS?

By Ian Portman | April 8, 2022
The painful cost of overestimating data quality in migration

The painful cost of overestimating data quality in migration

By Peter Reynolds | March 25, 2022
Validation Insights for an Off-the-Shelf Quality Management System

Validation Insights for an Off-the-Shelf Quality Management System

By Julia Winterhalder | November 30, 2021
“Data Discernment – A simplified approach to strategic study and portfolio planning.”

“Data Discernment – A simplified approach to strategic study and portfolio planning.”

By Kelly Butler | November 4, 2021
The key to good end-user training for eQuality Management Systems

The key to good end-user training for eQuality Management Systems

By Julia Winterhalder | October 13, 2021
Key Factors when selecting an electronic Quality Management System

Key Factors when selecting an electronic Quality Management System

By Alicia Whitney | September 8, 2021