Abstract
The flourishing of the decision-making process of using data has made interactive data visualization a key to modern management and strategic planning. Compared to portrayed representations, interactive visualization allows managers to see information within the context of a a complex dataset, identify patter that were not especially clear, and make strategic decisions on the fly. This paper explores how interactive data visualization might create opportunities to drive organizational managerial insight and strategy. Using the latest research and real-life examples, the paper explains why visualization technologies like Tableau, Power BI, and D3.js can support cognitive processing, enable scenario analysis, and align strategic goals with a company's operational data. This finding indicates that interaction visualization not only reinforces evidence-based decision-making but also creates agility, innovation, and collaboration between units headed by managers. Additionally, the paper reports the main problems, such as the lack of data literacy, excessive focus on visual data presentation, and unwillingness to implement at the organizational level. It is suggested in the paper that interactive visualization, when incorporated as part of the strategic management processes, can bring profound benefits to organizational competitiveness but only when implemented effectively with training and a robust data governance framework.
Keywords
Business Analytics, Managerial Decision-Making, Data Strategy, Interactive Visualization, Strategic Insight
Citations
IRE Journals:
Jyothi Swaroop Myneni
"Interactive Data Visualization as a Catalyst for Managerial Insight and Strategy" Iconic Research And Engineering Journals Volume 8 Issue 5 2024 Page 1370-1381
IEEE:
Jyothi Swaroop Myneni
"Interactive Data Visualization as a Catalyst for Managerial Insight and Strategy" Iconic Research And Engineering Journals, 8(5)
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