Changes always seem frightening in the first moment. What will the new bring? Will I be able to deal with it? Is it just as good as the old? New things gives you the chance to bring something even better to light – something that we often don’t take into consideration at the beginning.
It is a challenging time for many traditional pharmaceutical companies. The competiveness of the market place, the looming loss of patents, ever-increasing international regulatory requirements and pressure to lower the overall cost for healthcare – they all increase the burden and force these companies to find new approaches in order to survive in the industry.
Pharmaceutical companies are today driven to adopt strategies for reducing resources and costs, circumstances that have been tangible in other manufacturing sectors for some time. The expectation from IT departments is that they should support the business challenges and deliver cost-effective solutions without compromising quality, compliance, agility or flexibility.
Cloud computing seems to fulfil the promises of solving these business challenges and life sciences firms increasingly look to it for the universal remedy. However, how well does cloud computing coexist with GxP compliance and regulated environments?
It’s been very interesting to watch how the Cloud has had an impact on Enterprise Content Management in the Life Sciences market over the past year or two. I doubt that there are too many observers with knowledge of the market that believe that its impact has been anything other than positive. But as with most “no brainer“ disruptive technologies, it’s still finding that the path to adoption is not quite as simple and straight forward as it might at first appear.
Clearly, the opportunity for Life Sciences companies to outsource their IT infrastructure and some related services is a derivative benefit of utilizing Cloud. In addition, subscription pricing, synonymous with Cloud solutions, has the benefit of moving CapEx to OpEx and realizing the financial benefits of doing so, appeals to many companies.
OpenText Documentum is a full-fledged and mature server-based Document Management System which is accepted e.g. by the FDA and therefore widespread in pharmaceutical companies.
Compared with cloud computing technologies that are very strong in providing elastic (scalable) services OpenText Documentum products could be regarded as inflexible and monolithic / layered applications. Although they seem to be the exact opposite of the flexible Microservice architecture approach used for cloud native application design, there are ways to combine OpenText Documentum products with cloud computing technologies. read more
In today’s world, companies need to act quickly and remain flexible. Cloud-based platforms offer the optimal basis for this. In industrial manufacturing, the use of the cloud has been established for some time. The life sciences industry is just taking off in this area.
The term »cloud« has been a constant companion in the IT industry for almost ten years now. But everyone has different ideas about it. Some of the definitions differ greatly from each other, so that every discussion about “cloud” starts with a joint definition of terms.
Preface: From January 2016 to July 2016, I wrote my master’s thesis at fme in Brunswick, Germany. In the following blog post I am summarizing my thesis and thank all these people who supported me. Especially, my advisor and the IT department.
Tobias Stein, September 2016
Exponential data growth rates make the management of content an enormous challenge for organizations. Terms like »information overload« and »content chaos« express the inefficient situation regarding content management on an enterprise-wide scale. Employees search for documents in different versions, languages and formats across various repositories and systems through the entire company. However, these documents contain important and decision-relevant information that are becoming a key business resource. Moreover, compliance with statutory regulations and technical requirements with respect to storing huge amounts of data are complicated.