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 Journal of Statistics and Management Systems cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510

Monthly Journal: Publishes peer-reviewed aticles on theoretical and applied statistics and management systems, expoloring industrial statistics, actuarial and decision sciences.

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Open Access Research Article

DataWhiz : An adaptive role-based AI analytics platform for dynamic dashboard generation and automated decision support

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pp. 967–980Vol. 29Issue 9September 2026DOI: 10.47974/JSMS-1703XML
Received:
01 Jul 2026
Published Online:
30 Sep 2026
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1703
Pages:
967–980

Abstract

Organizations rely on data-driven decision-making, yet conventional business intelligence platforms demand substantial manual preprocessing and analytical expertise. This paper presents DataWhiz, an adaptive role-based AI analytics platform that automatically transforms structured datasets into intelligent dashboards. Through semantic understanding, automated preprocessing, KPI recommendation, dynamic visualization, predictive modeling, and AI-assisted insight generation, the framework generates contextaware reports tailored to specific professional roles. Evaluated across four public datasets from diverse domains, DataWhiz significantly minimizes manual analytical effort while delivering precise decision support, effectively bridging the accessibility gap for both technical and non-technical enterprise users.

Keywords

Subject Classifications

68T0768T0962P25

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