<?xml version="1.0" encoding="UTF-8"?>
<article article-type="Research Article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">journal-of-statistics-and-management-systems</journal-id>
      <journal-title-group>
        <journal-title> Journal of Statistics and Management Systems</journal-title>
      </journal-title-group>
      <issn publication-format="electronic">2169-0014</issn>
      <issn publication-format="print">0972-0510</issn>
      <publisher>
        <publisher-name>Taru Publications</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.47974/JSMS-1703</article-id>
      <title-group>
        <article-title>DataWhiz : An adaptive role-based AI analytics platform for dynamic dashboard generation and automated decision support</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Dodia</surname>
            <given-names>Jeet J.</given-names>
          </name>
          <aff>Department of Computer Science &amp; Engineering, Institute of Computer Technology, Ganpat University, Mehsana, Gujarat, 384012, India</aff>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Patel</surname>
            <given-names>Aniket</given-names>
          </name>
          <aff>Department of Computer Science &amp; Engineering, Institute of Computer Technology, Ganpat University, Mehsana, Gujarat, 384012, India</aff>
        </contrib>
      </contrib-group>
      <volume>29</volume>
      <issue>9</issue>
      <fpage>967</fpage>
      <lpage>980</lpage>
      <pub-date date-type="pub">
        <day>30</day>
        <month>09</month>
        <year>2026</year>
      </pub-date>
      <abstract>
        <p>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.</p>
      </abstract>
      <kwd-group>
        <kwd>Artificial intelligence</kwd>
        <kwd>Business intelligence</kwd>
        <kwd>Automated data analytics</kwd>
        <kwd>Adaptive dashboard generation</kwd>
        <kwd>Decision support systems</kwd>
        <kwd>Predictive analytics</kwd>
        <kwd>AutoML</kwd>
        <kwd>Data visualization</kwd>
        <kwd>Conversational analytics</kwd>
      </kwd-group>
      <custom-meta-group>
        <custom-meta>
          <meta-name>access</meta-name>
          <meta-value>open</meta-value>
        </custom-meta>
        <custom-meta>
          <meta-name>retracted</meta-name>
          <meta-value>no</meta-value>
        </custom-meta>
      </custom-meta-group>
    </article-meta>
  </front>
</article>
