Life science industries are faced with increasing regulatory oversight, decreasing R&D productivity, challenges to growth and profitability and the impact of digitizing the value chain. The industry is viewing the increased regulatory supervision as a burden. However, the regulatory requirements are putting in place a foundation for data requirements that can be used to drive pharma and life sciences analytics. Organizations can extract value in a challenging market and create competitive differentiator by utilizing the opportunity.
Faced with the pressures to lower costs and stay competitive, predictive analytics can be a handy tool to provide direction and detect fraud or abnormal patterns that could indicate cybersecurity threats. In manufacturing, predictive analytics can identify elements that could degrade production quality or lead to equipment failures.
SORBA IoT Pharmacuetical Use Case
A pharmaceutical manufacturer of medical, diagnostic, testing, the equipment provides a one-stop shop for anatomical pathology. The company runs a fully automated diagnostic dispensing machine used to process high volume biopsy tests. Read more about this LIFE SCIENCES USE CASE HERE.