PREDICTIVE ANALYTICS AND ITS APPLICATIONS

By Matthew N. O. Sadiku

We are in a data-driven world, where information is one of the most valuable assets a business can have. Data is becoming one of the most valuable assets for any organization. The rise of big data has been a game-changer for predictive analytics, providing the vast amounts of data necessary for accurate predictions. Predictive analytics, as its name implies, is the branch of advanced analytics that forecasts what is likely to happen based on patterns in the collected data. It is simply looking at the historic trends, conducting analysis in the present, and forecasting the future. It uses machine learning, data modeling, artificial intelligence, deep learning algorithms, and data mining to forecast outcomes based on patterns in vast historical datasets.

Companies rely on predictive analytics to detect patterns in data that identify risks and opportunities. Predictive analytics can be used in various fields like healthcare, business, marketing, finance, manufacturing, supply chain, insurance, customer care, human resources, fraud detection, risk management, consumer relationship management, and entertainment.

This book is a comprehensive introductory text on predictive analytics, and its applications in various industries. It is organized into fourteen chapters that summarize the applications in a concise manner. It is a must-read book for anyone who wants to learn about predictive analytics, which is an important emerging technology.

Matthew N. O. Sadiku is presently a Regents professor emeritus of electrical and computer engineering at Prairie View A&M University, Prairie View, TX. He is a Life Fellow of IEEE and a Fellow of NAE

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Abayomi Ajayi-Majebi is presently a professor of Manufacturing Engineering at Central State University in Wilberforce, Ohio and is an SME 2025 Distinguished Faculty Advisor Award recipient. He is a life member of the Society of Manufacturing Engineers.

Paul A. Adekunte is a seasoned lecturer, trainer, and consultant in security matters, human and management/public relations. He has published several professional papers.

• Format: Hardcover
• Language: English
• ISBN: B0HGVXXL3M
• ISBN13: 9798240888984
• Release Date: August 2026
• Publisher: Self Publishing LLC.
• Length: 469 Pages
• Weight: 1.75 lbs.
• Dimensions: 9.2" x 1.3" x 6.2"