Hi All,
Mango are hosting a public 30 minute no obligation demonstration of our 
Modspace analytic hub on Thursday 20th July.
The aim of the demo being to provide a snapshot of ModSpace to provide 
attendees with a technical overview and the latest features of the application.

Our Chief Data Scientist, Richard Pugh will be hosting this webinar.

ModSpace is an analytic repository which has been designed and developed with 
the needs of modelers, statisticians, programmers & analysts in mind.
ModSpace provides;


*        A centralised repository which allows users to store & share all types 
of study information, including SAS, MATLAB, S-PLUS, R & NONMEM & Python 
scripts, outputs, datasets & Office documents.

*        Auditable & controlled Information is stored safely in the repository 
and is only accessible to users or teams who are given access with all 
activities audited and everything is backed up by version control. The 
application is configurable to customers specific control needs. ModSpace helps 
you achieve that high level of assurance within a regulated environment

*        Collaborative working ModSpace supports and promotes a team based 
working approach over geographical locations & connects data analysts and 
business units together to promote collaborative working.

*        No reproduction of code ModSpace reduces the cost and time in 
reproducing code and allows companies to retain code when staff move on.

*        Team Development System users work in groups and are provided news 
feeds to help them keep up to date on developments within the group, join in 
discussions and work together with internal and external teams on studies.



ModSpace is already being used by Statistics, PK/PD Modeling, Bioinformatics & 
Health Economics Groups at some of the leading Pharmaceuticals companies in the 
world helping these companies work more effectively and support 21 CFR Part 11 
compliance.
Latest features of ModSpace include; New User Interface, additional file 
parsers, DDMore integration (store and parse models developed in MDL or 
PharmML), Improved Workflow, local working, file view, RStudio, GIT and 
Markdown integration.

Please email pha...@mango-solutions.com<mailto:pha...@mango-solutions.com> for 
more information and registration details.


Kind regards
Christina

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