A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides a solid foundation of BI that is reinforced with hands-on practice. The second edition features updated information on data mining, text and web mining, and implementation and emerging technologies.

This book is intended for data analysts, managers, and executives with a basic knowledge of Python, who now want to use Python for their BI tasks. If you have a good knowledge and understanding of BI applications and have a "working" system in place, this book will enhance your toolbox.

This book is for Business Intelligence architects, BI developers, Big Data architects, and IT executives who are looking to modernize their business intelligence architecture and deliver a fast, easy-to-use, cloud powered business intelligence service.

This book is for Business Intelligence architects, BI developers, Big Data architects, and IT executives who are looking to modernize their business intelligence architecture and deliver a fast, easy-to-use, cloud powered business intelligence service.

This book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity with R is expected.

This is a step-by-step tutorial that covers the basics of working with the MicroStrategy platform.If you are a BI developer who would like to use MicroStrategy to build BI apps, this book is ideal for you. This book is also for mid-management executives who need to analyze data and Excel files that are too complicated to manage. A basic concept of BI is assumed.

This is a step-by-step tutorial that covers the basics of working with the MicroStrategy platform.If you are a BI developer who would like to use MicroStrategy to build BI apps, this book is ideal for you. This book is also for mid-management executives who need to analyze data and Excel files that are too complicated to manage. A basic concept of BI is assumed.

This book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity with R is expected.

We’re living in revolutionary times. Artificial intelligence is changing how the world operates and it determines how smooth certain processes are.For instance, when you go on a holiday, multiple services allow you to find the most convenient flights and the best hotels, you get personalized suggestions on what you might want to see, and you go to the airport via one of the ride-sharing apps. At each of these steps, AI algorithms are at work for your convenience. This book will guide you through everything, from what AI is to how it influences our economy and society.The book starts with an introduction to artificial intelligence and machine learning, and explains the importance of AI in the modern world. You’ll explore how start-ups make key decisions with AI and how AI plays a major role in boosting businesses. Next, you’ll find out how media companies use image generation techniques to create engaging content. As you progress, you’ll explore how text generation and AI chatbot models simplify our daily lives. Toward the end, you’ll understand the importance of AI in the education and healthcare sectors, and realize the risks associated with AI and how we can leverage AI effectively to help us in the future.By the end of this book, you’ll have learned how machine learning works and have a solid understanding of the recent business applications of AI.

Efraim Turban执教于夏威夷大学，畅销教材作者、著名的电子商务学者。曾任美国加利福尼亚长岛州立大学管理信息系统教授，香港城市大学和香港科技大学访问教授。他曾撰写出版了十多部著作和大量论文，并担任多家杂志的编辑以及多家跨国公司和政府的顾问，是商务和金融计算机决策支持领域最多产的学者之一。 Ramesh Sharda 是俄克拉荷马州立大学西尔斯工商管理学院管理科学与信息系统的杰出贡献教授，信息系统研究所所长，ConocoPhillps公司技术管理主席。 Dursun Delen 是俄克拉荷马州立大学西尔斯工商管理学院管理科学与信息系统的副教授。 Dave King有25年主持决策支持开发、性能管理和企业系统软件的经验。他还服务于许多工业咨询委员会和大学董事会。