by The fme Team | Apr 28, 2022 | Digital Transformation, Enterprise Content Management, Further Industries, Industrial Manufacturing, Life Sciences
Even with the best intentions, companies will only be able to deliver successful global data transformation projects if they have strong global teams pulling together toward the same goal. But what does that look like, especially when so many restrictions on travel...
by The fme Team | Apr 5, 2022 | Content Migration, Digital Transformation, Enterprise Content Management, Further Industries, Industrial Manufacturing, Life Sciences
There could be a whole range of requirements which have led to the decision to implement a new content or document management system (DMS), but a successful project will depend as much on defining what you don’t need as it will on specifying what’s most important....
by The fme Team | Mar 25, 2022 | Content Migration, Digital Transformation, Enterprise Content Management, Life Sciences
Without top-grade data, even the most innovative life sciences company in the world will struggle to realize its potential. That’s because, without robust, reliable and well-maintained information, formatted in a consistent and agreed way that’s acceptable to...
by The fme Team | Mar 1, 2022 | Content Migration, Digital Transformation, Enterprise Content Management, Life Sciences
Improved dynamism is now a strategic priority in life sciences. The Covid-19 response has seen a radical transformation of the drug development and approval process – reducing cycles that once spanned 10 years to a matter of months. Going forward, pressure on...
by The fme Team | Jul 22, 2021 | Enterprise Content Management, OpenText Documentum, Software Development
Thousands of OpenText Documentum users worldwide have automatically associated the dqMan with fme for many years. At the corresponding trade shows, it regularly happens to us that visitors walk by our booth, pause briefly to check out what we offer, frown, and then...
by The fme Team | May 21, 2021 | Digital Transformation, Enterprise Content Management
Introduction According to a recent Gartner research, 52% of enterprises plan to invest in a data lake within the next two years.1 The purpose of a data lake is to collect data from different sources without having any limitations. For instance, the data can be in raw...
