American Journal of Advanced Multidisciplinary Research and Innovation

E-ISSN: XXXX-XXXX   •   Impact Factor: -

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 5
September-October 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Advanced Data Analytics for Intelligent Decision-Making Across Multidisciplinary Domains

Author(s) Tom M. Mitchell
Country United States
Abstract Advanced data analytics has become a cornerstone of intelligent decision-making in the era of digital transformation, enabling organizations to extract actionable insights from vast and complex datasets. The rapid growth of Artificial Intelligence (AI), Machine Learning (ML), Big Data, cloud computing, Internet of Things (IoT), and business intelligence technologies has revolutionized data-driven decision-making across healthcare, education, finance, manufacturing, agriculture, transportation, environmental management, and public governance. Advanced analytical techniques—including predictive, prescriptive, diagnostic, and descriptive analytics—support evidence-based decision-making by identifying hidden patterns, forecasting future trends, optimizing resource allocation, and improving organizational performance. These capabilities contribute significantly to innovation, operational efficiency, sustainability, and strategic planning in multidisciplinary contexts.
This study examines the role of advanced data analytics in intelligent decision-making across multidisciplinary domains using a qualitative and analytical research methodology based on secondary data. Drawing upon literature from data science, computer science, management, healthcare, engineering, economics, and public policy, the study explores analytical frameworks, enabling technologies, industrial applications, implementation challenges, and future research directions. Particular attention is given to the integration of Artificial Intelligence, explainable analytics, real-time data processing, and ethical data governance in supporting reliable and transparent decision-making.
The findings reveal that advanced data analytics substantially enhances organizational agility, predictive capability, operational efficiency, and innovation by transforming raw data into strategic knowledge. However, issues related to data quality, privacy, cybersecurity, algorithmic bias, interoperability, and workforce competency remain significant barriers to effective implementation. The study concludes that multidisciplinary collaboration, responsible data governance, and continuous technological innovation are essential for maximizing the potential of advanced analytics in supporting sustainable, intelligent, and evidence-based decision-making across diverse sectors.
Keywords Advanced Data Analytics, Intelligent Decision-Making, Artificial Intelligence, Big Data, Business Intelligence, Machine Learning, Data Science, Digital Transformation.
Field Engineering
Published In Volume 3, Issue 3, May-June 2021
Published On 2021-05-18
View / Download PDF File

Share this



E-ISSN XXXX-XXXX
CrossRef

CrossRef DOI prefix of AJAMRI is 10.00000/AJAMRI

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About AJAMRI
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +1-872-302-3851 editor@ajamri.com