Research article publication is often considered a critical indicator of academic institutions' success and productivity. It improves the institution's reputation, attracts talented students and faculty members, and increases the institution's chances of receiving funding opportunities from different funding agencies. This paper provides a reliable and sustainable methodology for improving the quality and quantity of research article publications for engineering institutions in India. The various tools, techniques, and initiatives that promote research culture and improve its outcome in terms of research papers are also discussed. A case study of Pimpri Chinchwad College of Engineering (PCCOE), Pune, India, depicts how predictive, prescriptive, descriptive, and diagnostic data analytics approaches help to identify the barriers in the research article publications in academic institutions and provides the ways to overcome them. It also helps to set the publication targets and develop the path to perceive the targets. The outcomes and effectiveness of the case study are discussed using the papers published in Scopus, Web of Science, and Google Scholar databases. The challenges, opportunities, and recommendations are also provided for the smooth and effective implementation of the developed methodologies.