Transforming Business Management with AI, BI, and Data-Driven Decision-Making

£130.00

Transforming Business Management with AI, BI, and Data-Driven Decision-Making

Product design Risk assessment Production and quality control management Operational research Epidemiology and Medical statistics Probability and statistics Engineering: general Mechanical engineering Electrical engineering Automatic control engineering Data mining Artificial intelligence

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Collection: Manufacturing Design and Technology

Language: English

Published by: CRC Press

Published on: 28th October 2025

Format: LCP-protected ePub

ISBN: 9781040435854


Introduction

In today's rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and data driven decision making are transforming traditional business management practices and leading to unparalleled innovation and efficiency.

Overview of the Book

Transforming Business Management with AI, BI, and Data Driven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate real world applications of AI and BI as decision making tools, this book makes complex theories more accessible and understandable.

Practical Tips and Implementation

Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in today's dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Additionally, strategies for achieving data driven decision making at the highest level are also offered.

Target Audience

By bridging the gap between theoretical concepts and practical data analysis issues, this book serves as a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields.

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