Oracle Business Intelligence 12c is a unique platform that enables customers to uncover new insights and make faster, more informed business decisions by offering agile visual analytics and self-service discovery together with best-in-class enterprise analytics. Instant mobile, highly interactive dashboards, powerful operational reporting, just-in-time alerts, content and metadata search, strategy management, native access to Big Data sources, sophisticated in-memory computing, and streamlined systems management combine to make Oracle BI 12c a comprehensive solution that reduces the total cost of ownership and increases return on investment for the entire organization.
Sanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFA). He enjoys research in statistics and data analytics applied to a wide range of business disciplines. Dr. Jaggia has published numerous papers in leading academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.
Business Analytics (2nd Edition)
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Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFA). Dr. Kelly has published in a wide variety of academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. Her courses in applied statistics and econometrics are popular with students as well as working professionals. She has also served as a consultant for a number of companies; her most recent work focused on how large financial institutions satisfy requirements mandated by the Dodd-Frank Act. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening.
Leida Chen is a professor of information systems at California Polytechnic State University in San Luis Obispo. Dr. Chen earned a Ph.D. in Management Information Systems from University of Memphis. His research and consulting interests are in the areas of business analytics, technology diffusion, and global information systems. Dr. Chen has published over 50 research articles in leading information systems journals, over 30 articles and book chapters in national and international conference proceedings and edited books, and a book on mobile application development. He teaches business analytics at both the undergraduate and graduate levels. In his spare time, Dr. Chen enjoys hiking, painting, and traveling with his wife and son to interesting places around the world.
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This edition is supported with 72 learning activity videos, which will provide more in-depth discussions about the topics featured within the manuscript. In addition, starting files are provided with the data necessary for you to work along with the videos to complete the activities presented. This hands-on approach will allow you to actively practice and further develop skills related to business analytics as you watch the videos at your own pace.
Amazon Q in QuickSight enhances business productivity using Generative BI capabilities to accelerate decision-making. With new dashboard authoring capabilities in Amazon Q, business analysts can use natural language prompts to build, discover, and share meaningful insights in seconds. Amazon Q makes it easier for business users to understand data with executive summaries, a new context-aware data Q&A experience, and data stories.
Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making.
Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models.
The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods.
The authors supply examples in Excel, GAMS, MATLAB, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.
The concentration in business analytics provides students with the analytical tools and conceptual framework needed to understand and apply data and decision modeling in real life settings. Business analytics is defined as the extensive use of data, statistical and quantitative models, and fact-based management to drive decisions and actions. More than just modeling and data manipulation, it is a process of transforming data into actions through analysis and insights in the context of organizational decision making and problem solving. Combining the business analytics concentration with any other area in business, such as finance or marketing, or in other fields, such as engineering, public policy, and international affairs, may give graduates expanded career opportunities.
The following requirements must be fulfilled for the concentration in business analytics: 15 credits in required and selected courses; at least 9 of these credits must be taken in residence. All concentration courses must be completed with a minimum grade of C-.
This report profiles the trends and the key technologies and practices shaping the future of data and analytics, and it envisions a number of scenarios and implications for that future. It is based on the perspectives and expertise of a global panel of leaders from across the higher education landscape.
This section of the report details six key technologies and practices that will have a significant impact on higher education data and analytics. Included in this section are college and university exemplar projects demonstrating the impact of the technologies and practices.
Techniques are methods that business analysis professionals use to perform business analysis tasks. Business analysis professionals apply their experience and judgement demonstrated in their competencies to select and perform a technique to achieve a successful outcome.
A Guide to the Business Analysis Body of Knowledge (BABOK Guide) is developed through a rigorous consensus-driven standards process, the BABOK Guide incorporates the collective wisdom and experience of experts in the field from around the world. It defines the skills and knowledge required by business analysis professionals covering the six knowledge areas and the business analysis competency model.
The latest version of the guide extends its scope beyond business analysis in projects to address agile development, business process management, business intelligence, and business architecture. It includes:
ArcGIS Business Analyst helps you make smarter decisions for market planning, site selection, and customer segmentation by combining demographic, business, lifestyle, spending, and census data with map-based analytics. Through desktop, web, and mobile apps, Business Analyst demographic mapping software helps you identify under-performing markets, pinpoint the right growth sites, find where your target customers live, and share the analysis across your organization as accurate infographic reports and dynamic presentations. be457b7860
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