Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Valecha, Kushagra Title A name given to the resource The Role of Big Data and Predictive Analytics in Financial Decision-Making Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Regulation and Innovation in Financial Markets;pp.39-56 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-1404-4.ch002" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1404-4.ch002</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105023351948?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023351948?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Valecha K., Christ University, India Description An account of the resource Big data refers to enormous amounts of structured and unstructured data that arise daily. All the finance sector records transactions, market data, social media sentiments, customer behavior, and macroeconomic indicators. The big three dimensions of big data that are commonly called the "3 Vs" include Volume, Velocity, and Variety. It means the data came from sources such as social media, IoT devices, transactions, and sensors. This process involves large amounts of data hence requiring scalable storages, complex processing tools, and resources for effective data management and analytics. Velocity means the rate or speed at which data is originated and processed. Lastly, Variety denotes the different kinds of data, which include the structured ones such as databases and the unstructured kinds, such as images, video, social media post, and audio. Collectively, the 3 Vs capture both the richness and the potentiality of big data, demanding the need for innovation in terms of technologies and strategies to leverage this value. 2026, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833731406-8; 979-833731404-4; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online