Optimize manufacturing processes and improve medical treatment effectiveness
The modern pharmaceutical industry is facing increasing regulatory oversight, recurring patent cliff, decreasing research and development productivity, challenges in growth and profitability and the effects of digitalization in the value chain. Pharmaceutical and life sciences organizations depend greatly on data to make decisions on product planning as well as positioning.
By generating a variety of data - machine data from servers, data from websites, data from sensors and IoT wearable devices, voice logs from call centers, social data from Facebook and Twitter, communication data from e-mails and more, big data analytics is performed. Later with the help of advanced data science technologies and generated data, pharmaceutical companies derive insightful business decisions.
One of our clients, a leading pharma company, was facing failure in its R&D success rate and a stagnancy in sales pipelines. Our data scientists at Softweb gathered data from several sources such as physician notes, hospital data records, clinical trial systems, social media, sales and marketing databases, research data, claims data and more.
With their deeper understanding and vast experience, they leveraged big data and analytics in driving insightful decisions for various business aspects ranging from product planning, designing, manufacturing to clinical trials in order to improve collaboration, information sharing, productivity, cost optimization and more. Our client experienced more than 20% increase in productivity along with improvement in regulatory compliance.