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Data Visualization for Oracle Business Intelligence 11g
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About Data Visualization For Oracle Business Intelligence
Product Description Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Design and Deliver Effective Visual Solutions of BI Data Cowritten by an Oracle ACE Director and an expert in data visualization design specializing in BI and analytics, Data Visualization for Oracle Business Intelligence 11g reveals best practices for presenting data-driven insights with graphs, tables, maps, dashboards, and other methods that will immediately enhance corporate decision-making. Throughout the book, the principles of effective design are emphasized. Leverage the power of this comprehensive business intelligence platform to deliver rich visualizations of business information across the enterprise. Create well-organized tables and pivot tables Convey data insights with line, bar, pie, waterfall, radar, and other graphs Configure MapViews so that you can provide interactive maps and spatial analysis capabilities Build advanced visualizations, including trellis charts, gauges, R images, jQuery sparklines, and more Use Oracle Business Intelligence Publisher to create pixel-perfect reports from various data sources Design effective, interactive BI dashboards Use the Oracle Scorecard and Strategy Management module to measure, evaluate, and manage key performance indicators Make smart color choices using data science tools From the Publisher 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. About the Author 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 Man
