Public Titles
Author
B.Sc. Information Science Department, Allameh Tabataba’i University, Tehran, Iran
Abstract
Big Data and Management Science has been designed to synthesize the analytic principles with business practice and Big Data. Specifically, the book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. It is complementary to other sub-disciplines such as economics, finance, marketing, decision, and risk analysis.
The recent advances in handling large data have led to increasingly more data being available, leading to the advent of Big Data. The volume of Big Data runs into petabytes of information, offering the promise of valuable insight. Visualization is the key to unlocking these insights; however, repeating analytical behaviors reserved for smaller data sets runs the risk of ignoring latent relationships in the data, which is at odds with the motivation for collecting Big Data.
This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing, and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.
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