Data Visualization: From Raw Data to Actionable Insight

Information age data is the backbone of industry decision-making. Raw data, however, lacks accessibility without effective visualization techniques to make it accessible and actionable. Data visualization takes complicated data sets and converts them into intuitive, visual formats, and using this, businesses can discover trends, correlations, and insights that guide informed decisions. This paper explores the process from raw data to actionable insights through data visualization, in terms of significance, core techniques, tools, and applications across multiple sectors. It further mentions best practices and challenges to ensure that the visual representation is accurate and meaningful.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2024-12-03
DOI
https://doi.org/10.55041/ijsrem39340
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

Data Visualization: From Raw Data to Actionable Insight

S.Hruthik Kasyap, D. Saraswathi
1 citations
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Big Data and Business Intelligence
0.53
article

Data Visualization: From Raw Data to Actionable Insight

S.Hruthik Kasyap, D. Saraswathi
article en
1 citations

Abstract

Information age data is the backbone of industry decision-making. Raw data, however, lacks accessibility without effective visualization techniques to make it accessible and actionable. Data visualization takes complicated data sets and converts them into intuitive, visual formats, and using this, businesses can discover trends, correlations, and insights that guide informed decisions. This paper explores the process from raw data to actionable insights through data visualization, in terms of significance, core techniques, tools, and applications across multiple sectors. It further mentions best practices and challenges to ensure that the visual representation is accurate and meaningful.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 08(12)
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Big Data and Business Intelligence
0.53
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