IBM Cognos Analytics: Author Reports Advanced (v11.0.x) - B6159G

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IBM Cognos Analytics: Author Reports Advanced (v11.0.x) - B6159G

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This offering teaches Professional Report Authors about advanced report building techniques using relational data models, dimensional data, and ways of enhancing, customizing, managing, and distributing professional reports. The course builds on topics presented in the Fundamentals course. Activities will illustrate and reinforce key concepts during this learning activity.

• Knowledge of your business requirements • IBM Cognos Analytics for Consumers (v11.0) WBT or equivalent knowledge • IBM Cognos Analytics: Author Reports Fundamentals (v11.0.x) or equivalent knowledge

2 Days

Report Authors

Create query models • Build a query and connect it to a report • Answer a business question by referencing data in a separate query Create reports based on query relationships • Create join relationships between queries • Combine data containers based on relationships from different queries • Create a report comparing the percentage of change Introduction to dimensional reporting concepts • Examine data sources and model types • Describe the dimensional approach to queries • Apply report authoring styles Introduction to dimensional data in reports • Use members to create reports • Identify sets and tuples in reports • Use query calculations and set definitions Dimensional report context • Examine dimensional report members • Examine dimensional report measures • Use the default measure to create a summarized column in a reportFocus your dimensional data • Focus your report by excluding members of a defined set • Compare the use of the filter() function to a detail filter • Filter dimensional data using slicers Calculations and dimensional functions • Examine dimensional functions • Show totals and exclude members • Create a percent of base calculation Create advanced dynamic reports • Use query macros • Control report output using a query macro • Create a dynamic growth report • Create a report that displays summary data before detailed data and uses singletons to summarize information

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