Author(s):
1. Muhammad Aslam Asadi:
BZU, Multan, Pakistan
Abstract:
Data empowers informed decision-making by providing actionable insights from vast and diverse information streams. It is the backbone of the today’s digital world. Its effective use fuels economic growth, scientific advancements, and personalized solutions in an in an interconnected, technology driven landscape. Data wrangling is a comprehensive process involving several key steps (from data discovery to publication) to transform raw, diverse, messy, and chaotic datasets into a format ready for analysis. This process also closes the knowledge gap between intricate data and useful development insights which is the core of the data-driven decision making. The relevance of data wrangling continues to grow for several reasons including volume & variety of data, advanced analytics & AI, and compliance & data governance etc.
Page(s):
41-41
DOI:
DOI not available
Published:
Journal: 4th International Conference of Sciences “Revamped Scientific Outlook of 21st Century, 2025” , November 12,2025, Volume: 1, Issue: 1, Year: 2025
Keywords:
DecisionMaking
,
Data quality
,
data discovery
,
Data Wrangling
,
Analytics
References:
References are not available for this document.
Citations
Citations are not available for this document.