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The pharmaceutical industry is facing a real challenge. R&D efficiency declines fairly steadily, late stage attrition is high and drug development is costly. The biotech’s profitability is also under pressure as R&D budgets become increasingly strained. A possible solution known as “quick-kill strategy” consists in reducing R&D costs by terminating failing projects earlier in the […]

Pharmaceutical industry and biomedical research generates tons of data every day. But researchers find it difficult to analyze data from many different sources because it is fragmented into multiple computers and files. Numerous spreadsheets and files make it difficult to manage access, sharing and aggregation of data, or, worst, prone to error. Data warehouses are […]

Biotech companies work with large amounts of scientific data, data not only from internal operational systems such as ELN (Electronic Lab Notebook), LIMS (Laboratory information management system) or compound logistics software, but also from external sourcing and various lab devices. Data by itself is not enough. Today’s biotech companies need to consolidate data from multiple […]

In the late 1960’s, managing data has become an essential component of drug discovery and development. Technology advances made it possible to collect more data more easily and, today, scientists are submerged by a data deluge. Manual compilation of results and report writing require a substantial amount of time and, in a business context, these […]