The Role of Data Science in Predictive Analytics: Techniques and Applications
DOI:
https://doi.org/10.36676/dira.v12.i2.50Keywords:
Data Science, Predictive Analytics, digital transformationAbstract
In the present era of digital transformation, data has emerged as a critical asset driving strategic decision-making across several industries. The explosion of data created by organizations, customers, and gadgets has spawned the area of data science, which includes tools and approaches for analyzing and understanding enormous amounts of data. Predictive analytics, which uses data science to estimate future events and trends, has grown in importance within this large area. This article dives into the role of data science in predictive analytics, examining key terminology, the field's evolution, importance, existing research gaps, and the study's relevance in the present situation.
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