Published: February 2015 Pages: 352
Data Visualization for Oracle Business Intelligence 11g reveals the best practices for creating graphs, tables, maps, and other methodologies for presenting data-driven insights using one of the most common business intelligence front-end systems in the world, Oracle Business Intelligence 11g. This information-rich guide offers clear instructions for building top-quality dashboards, analyses, and visualizations from real-world implementers and respected data visualization experts.
You'll learn everything from improving the readability of your tables to implementing the latest Advanced Trellis Chart features and from adding native map views of BI data to designing optimal dashboard layout strategies. You'll see how to produce accurate, compelling, and professional graphics that will immediately enhance corporate decision making.
Shows proven steps for extracting maximum impact from native features that are little known to the majority of BI users
Covers dashboard strategy, including layout, design, navigation, master detail linking, action links, and prompts
Addresses how to extend Oracle Business Intelligence 11g with advanced languages and visualization systems such as JavaScript-based D3 and JQuery, R, and Oracle Application Development Framework
Includes an associated web gallery showcasing the colors and graphics that render best digitally
Dan Vlamis, Oracle ACE Director, is a customer advisory board member for Oracle Business Intelligence and OLAP-related products and an Oracle Business Intelligence Warehousing and Analytics board member. After leading a development team in multi-dimensional database design, he founded Vlamis Software Solutions in 1993 and has led more than 200 implementations of Oracle Business Intelligence and analytics systems. Dan is coauthor of Oracle Essbase & Oracle OLAP. He graduated from Brown University with a major in Computer Science.
Tim Vlamis, MBA, has decades of experience in business modeling, forecasting, and scenario analysis and is an active speaker on BI and data visualization topics as well as marketing and business development. He is an instructor for Oracle University in Oracle Data Mining and Oracle R Enterprise and works extensively in the intersection of predictive analytics and business intelligence. In addition to holding a Professional Certified Marketer designation from the American Marketing Association, Tim is an adjunct professor of Business and teaches in Benedictine College's Traditional and Executive MBA programs. He has an MBA from Northwestern University's Kellogg School of Management and a BA in Economics from Yale University.
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