4Data Analytics and Data Visualization for the Pharmaceutical Industry
Shalin Parikh1, Ravi Patel2, Dignesh Khunt2*, Vivek P. Chavda3 and Lalitkumar Vora4†
1Senores Pharmaceuticals Pvt. Ltd., Ahmedabad, Gujarat, India
2Graduate School of Pharmacy, Gujarat Technological University, Gandhinagar, Gujarat, India
3Department of Pharmaceutic and Pharmaceutical Technology, L M College of Pharmacy, Ahmedabad, India
4School of Pharmacy, Queen’s University Belfast, Northern Ireland, UK
Abstract
In pharmaceutical science, multi-step drug product development processes generate an enormous amount of datasets each day as a part of chemistry, pre-clinical and clinical processes, as well as further drug product approval and pharmacovigilance. In creating useful knowledge from data and information, harnessing data analytics/visualization is a practical step for pharmaceutical researchers. In conjunction with stricter government regulation and increased competition, good data analysis is critical in the 21st century. Pharma data analytics/visualization from immense volumes of data set reveals unexpected connections and cuts through noisy data to join the correct dots to get better outcomes more quickly. A data scientist could play a knowledge bridge between the multiple departments and multidisciplinary teams in the pharmaceutical industry to speed up drug product development and reduce the economic burden. This chapter describes the importance of data analytics and visualization from drug chemistry ...
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