Get started on your own with the Myth Buster Test
– or book a Myth Buster Session with IDBS
Scattered notes and manual transcribing is the main cause for missing data and data errors. The time lost for fetching a device or walking over to your computer is regained several times by the increase in data integrity.
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Excel spreadsheets are a sure way of keeping your data fragmented and preventing continuous learning, modeling and simulation based on all your experiments. It may seem a cheap and convenient way, but it doesn’t lead to Biopharma 4.0. It’s a dead end.
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Modern cloud-based platforms come with integrations to any software or system you need for unsiloed storage and access to the full data continuum. Some platforms do it better than others, but you should not settle for less.
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Use an open flexible system and a partner you can trust to customize your new software with workflows, integrations and analytics tools. Adapt your software to your research and not the other way around.
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Choosing an R&D software platform is one of the most important decisions you will make. Make it right, not fast. Make sure time-to-value is not just time.
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It’s true that you need a flexible tool for research and discovery but a more structured approach for development and lifecycle management, but they can be combined with an integrated platform. Like IDBS E-WorkBook for drug discovery and IDBS Polar for biopharma development.
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Questions?
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Access a selection of eBooks and Infographics to help you overcome your data management problems.
In this eBook, we explore why and how the right approach can see your organization succeed.
Operational Analytics is a flexible and easy tool to search and extract operational data for cloud customers.
Cut your project timelines with the right digital platform.
So, do you really need both an ELN and a LIMS for your lab? Or neither? Or something else entirely?
A streamlined deployment methodology for IDBS’ first in class biopharmaceutical lifecycle management (BPLM) platform for fast and efficient digital transformation.
Modern biopharma development requires more than just a LIMS and spreadsheets. Learn why in this article by Alberto Pascual, IDBS, featuring Accenture and published in Lab Manager.
Compared to most other industries, life science and biopharmaceutical companies have been slow to embrace digital technologies. Why?
As the biopharmaceutical industry begins to embrace advanced data collection and analysis tools, it finds itself facing a challenging question: How can drug manufacturers best harness all that data to improve capacity, reduce bottlenecks and cut costs?
