Pharma & Life Sciences Analytics Services

Optimize manufacturing processes and improve medical treatment effectiveness

Pharma & Life Sciences Analytics Services

Why pharma & life sciences analytics services matters

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.

How we helped our pharma client using data analytics

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.

Outcomes

  • The client gained real-time information regarding various business aspects with the help of advanced data analytics.
  • Productive research and development at reduced cost and high health outcomes.
  • Increased innovation with new medical products.
  • Improved patient engagement and augmented operations.

How can the pharma and life science industry benefit with data science

  • Identify new trends to improve new product planning and workflow efficiency.
  • Effectively manage the sales force and optimize marketing, retail, and profits.
  • Helps in decreasing the time from drug development to marketing.
  • Helps in compliance and regulatory intelligence for drug development.
  • Supports pharmaceutical companies in making effective cross-functional decisions, increasing market share and boosting positive business results.
Let our data science team help you solve complex data and business problems