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 Book Chapter 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/. Title A name given to the resource Efficacy of Artificial Neural Networks (ANN) as a Tool for Predictive Analytics Subject The topic of the resource Artificial Neural Network (ANN); Decision-making; Forecasting; Output prediction; Predictive analytics Description An account of the resource Predictive analytics could also be defined as the application of statistical techniques and mathematical modeling to anticipate the future performance and expected return on investments. Predictive analytics examines the most recent and the historical data to see if the same pattern is likely to reoccur or not. This gives an opportunity to businessmen and financial investors to make an appropriate decision about their investments and expected returns. Ever since the development of ANN technique, researchers have tried to create a number of predictive models using ANN. The chapter is focused on defining predictive analytics and the tools used in predictive analytics, with a special orientation on Artificial Neural Networks. The objective of the chapter is to establish ANN as an effective technique for making appropriate predictions and thereby contributing toward the decision-making in various spheres using the outcomes from various researches. The chapter also aims to explain the step-by-step process of ANN in outcome prediction with the help of example. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023. Creator An entity primarily responsible for making the resource Sinha D.; Sarangi P.K.; Sinha S. Source A related resource from which the described resource is derived Analytics Enabled Decision Making, pp. 123-138. Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-9658-0_6" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-9658-0_6</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171511956&amp;doi=10.1007%2F978-981-19-9658-0_6&amp;partnerID=40&amp;md5=d1fa562df36d8892ada5af694bd85888" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85171511956&amp;doi=10.1007%2f978-981-19-9658-0_6&amp;partnerID=40&amp;md5=d1fa562df36d8892ada5af694bd85888</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981199658-0; 978-981199657-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sinha D., CHRIST (Deemed to be University), Delhi NCR, India; Sarangi P.K., Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India; Sinha S., CHRIST (Deemed to be University), Delhi NCR, India