The Effect of Data Visualization on the Quality of Decision-Making at Pharmaceutical Companies

Abstract

Data visualization techniques can potentially support the decision-making process for many organizations, especially pharmaceutical companies dealing with a massive volume of data, but they use them at less-than-expected levels. However, this review summarizes the science and evidence regarding data visualization and its impact on decision-making behavior as identified by much previous literature. The current study aimed to determine the effect of the following data visualization techniques (temporal, geographic or spatial, hierarchical, network, multidimensional) on the quality of decision-making at Jordanian pharmaceutical companies. The quality of decision-making was measured by accuracy, confidence, and calibration. The study sample consists of (3) pharmaceutical companies listed on the Amman stock exchange. The researcher chose a random sample of (450) workers at these companies from different administrative levels as a sample for the study. The study found that data visualization techniques positively affect the quality of decision-making (accuracy, confidence, and calibration) at these companies. The study recommends the need for decision-makers in pharmaceutical companies to obtain as much accurate data as possible, impartial and timely information that helps diagnose the problem or situation on exact scientific and objective bases, to enhance the accuracy of their decisions.