MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202621068723 A) filed by Amit Dattatray Choudhari; Madhira Srinivas; J. Mary Angeline; Vinod Rathore; Prabhu Dayal Arya; Karem Swathi; Aarthi D; and Arun Singh Kushwah on June 01, 2026, for A Scalable Big Data Analytics Framework For Predictive Business Intelligence.
Inventors include Amit Dattatray Choudhari; Madhira Srinivas; J. Mary Angeline; Vinod Rathore; Prabhu Dayal Arya; Karem Swathi; Aarthi D; and Arun Singh Kushwah.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: A Scalable Big Data Analytics Framework for Predictive Business Intelligence ABSTRACT: Amid the rapid advancement of digital technology, business intelligence (BI) has undergone a substantial transformation, resulting in new opportunities for data-driven decision-making and the acquisition of strategic insights. Businesses are generating substantial volumes of data from many sources, necessitating advanced analytics to extract meaningful insights. Although establishing and managing systems successfully requires considerable effort, the benefits of utilizing big data analytics are undeniably worthwhile. For individuals pursuing a more informed, data- driven methodology in organizational management, the long-term advantages of big data are indispensable. Big data analytics facilitates the identification of trends, patterns, and correlations within extensive datasets, enabling analysts to make data-driven judgments. This approach enables enterprises to utilize the rapidly increasing data produced from various sources, such as internet-of-things (IoT) sensors, social media, financial transactions, and smart devices, to extract actionable insights through sophisticated analytical methods. Currently, organizations encounter numerous challenges stemming from the vast volume and rapid pace of online data. The diverse formats of this data—structured, semi-structured, and unstructured—necessitate the implementation of innovative tools and methodologies for processing and converting data into knowledge. Competitive intelligence systems are designed to establish tools and software that manage this data stream, encompassing data collection, analysis, visualization, and dissemination of results to stakeholders, thereby improving the decision-making processes of companies. This study introduces a large data analytics framework for a competitive intelligence system.
Disclaimer: Curated by HT Syndication.
