Business Intelligence: A Managerial Perspective on Analytics, 3e, deals with a collection of computer technologies that support managerial work – essentially, decision making. These technologies have had a profound impact on corporate strategy, performance and competitiveness. Collectively, these technologies are called business analytics and business intelligence. Extensive, vivid examples from large corporations, small businesses and government and not-for-profit agencies have been incorporated which make the difficult concepts more accessible and relevant. International examples of global competition, partnerships and trade are also provided throughout. The real-world case studies show students the capabilities of business intelligence, its cost and justification and the innovative ways real corporations are using business intelligence in their operations.
Features:
See the decision-making aspects: Managerial Approach. This text takes a managerial approach to Business Intelligence (BI), emphasizing the applications and implementations behind the concepts. This approach allows students to understand how BI works in a way that will help them adopt these technologies in future managerial roles.
Put the concepts into action: Access to the Teradata Network. Teradata University Network (TUN) is a free learning portal sponsored by Teradata, a division of NCR, whose objective is to help faculty learn, teach, communicate and collaborate with others in the field of BI. Business Intelligence is interconnected with TUN via various hands-on assignments provided in all chapters and is accessible to students through the portal.
Understand the context: Real-world Orientation. Extensive, vivid examples from large corporations, small businesses and government and not-for-profit agencies make the difficult concepts more accessible and relevant. International examples of global competition, partnerships and trade are also provided throughout. These real-world case studies show students the capabilities of BI, its cost and justification and the innovative ways real corporations are using BI in their operations.
Table of Content:
Chapter 1. An Overview of Business Intelligence, Analytics and Decision Support
Chapter 2. Data Warehousing
Chapter 3. Business Reporting, Visual Analytics & Business Performance Management
Chapter 4. Data Mining
Chapter 5. Text, Web, and Social Analytics
Chapter 6. Big Data and Analytics
Chapter 7. Business Analytics: Emerging Trends and Future Directions
