Business intelligence, analytics and data science book: A management perspective

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Business intelligence, analytics and data science book: A management perspective
Business intelligence, analytics and data science book: A management perspective
Business intelligence, analytics and data science book: A management perspective
 Written by: Ramesh Sharda
 Dorsun Dylan
 Efraim Turban
 Translation/Dr. Muhammad bin Ayed Al-Qarni
 Book summary
 The book Business Intelligence, Analytics and Data Science deals with a managerial perspective, a set of computer technologies that support administrative work. Essentially decision-making, these technologies have had a profound impact on the company's strategy, performance, and competitiveness. Collectively, these technologies are called business intelligence, business analytics, and data science. Although the evolution of terminology is discussed, these names are also used interchangeably. The book Business Intelligence, Analytics, and Data Science narrates A management perspective, stories of how smart individuals employ these technologies to improve performance, service, and relationships in business, government, and the nonprofit worlds.
 Business Intelligence, Analytics, and Data Science: A Management Perspective explains that data analysis is the leading technology approach of the decade, and companies such as IBM, SAP, SAS, and Teradata , Oracle, Microsoft, Dell and other companies are creating new organizational units focused on analytics that help companies become more effective and efficient in their operations.
 He adds that decision makers are using more computerized tools to support their businesses, and consumers are even using analytical tools, directly or indirectly, in order to make decisions about usual activities such as shopping, health, health care, travel, and entertainment. The fields of business intelligence (BI) and business analytics (BA) have developed tremendously quickly to become more Focusing on innovative applications for extracting information from streams of data that at some time in the past could not have been obtained or much less analyzed using even any sophisticated means at that time. New applications are emerging daily in healthcare, sports, travel and entertainment, supply chain management, facilities, and almost every industry you could imagine. Hence, the term analytics has become prevalent and has actually evolved into other terms such as data science, which is the latest incarnation of deep learning and the Internet of Things.
 What does the Business Intelligence book offer?
 This edition of Business Intelligence, Analytics, and Data Science, A Managerial Perspective, provides a managerial perspective on business analysis, starting with descriptive analytics (such as: nature of data, statistical modeling, data visualization, and business intelligence) to predictive analytics (such as: data mining and data mining). Web text and social media mining), then to prescriptive analytics (such as: optimization and simulation), and ending with big data, future trends, privacy, and administrative considerations.
 The purpose of the book Business Intelligence, Analytics and Data Science, A Management Perspective, is to provide the reader with these techniques, which are generally called business analytics or data science, but were previously known by other names. This book presents the basics of the methods and the way in which these systems are created and used, and we follow EEE's approach to presenting these topics is Exposure, Experience, and Exploration.
The Business Intelligence, Analytics and Data Science book provides a managerial perspective, primarily exposure to various analytics methods and their applications, and the idea is that the student will be inspired to learn how other organizations use analytics; In order to make decisions or to gain a competitive advantage.
 The book is not limited to one software tool, so that the student can try these methods using any number of available software tools. It also provides specific suggestions in each chapter so that the student and professor can use the book Business Intelligence, Analytics and Data Science, A Management Perspective, which contains many software tools. different.
 What is the role of the Doc Suite system?
 DocSuite is generally known as an integrated system for managing documents and information within organizations. It also plays an important role in enabling the areas of data analysis and science from an administrative perspective. Here is how DocSuite can contribute to these areas:
 1. Data management: The DocSuite system allows organizations to store and organize documents and information effectively, which means that the data needed for artificial intelligence and data science systems is available in an organized and easy-to-access manner.
 2. Search and extract information: The Doc Suite system can be used to search documents and extract key information that can be used in business analytics and analyses.
 3. Security and Sharing: DocSuite can provide different levels of security and access control to data, ensuring the confidentiality and protection of information.
 4. Facilitate collaboration: Individuals within an organization can collaborate on documents and edit them jointly, which enhances collaboration and increases work efficiency.
 5. Reports and statistics: Reports and statistics can be generated about the use of the Doc Suite system, and this can provide analytical data that contributes to administrative decision-making.
 In general, DocSuite can be an important element in the technology infrastructure of an organization, contributing to the empowerment and development of the fields of artificial intelligence, analytics and data science by providing effective data and information management.
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