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Advanced Multidimensional Reporting with IBM Cognos 8 BI
Advanced report authors will learn techniques to reduce large sets of data into smaller, more readable reports, as well as advanced filtering techniques that will render more useful data.
Articles 01 Jan 2009
Drill Up/Down
How Member Sets and Advanced Drill behaviours can be leveraged within Report Studio. Descriptions and examples of the advanced drill behaviours are provided.
Articles 01 Jan 2009
IBM Cognos BI Dimensional Functions
A list of the available dimensional functions in Cognos BI with supporting example usage and output.
Articles 25 Feb 2011
IBM Cognos Proven Practices: IBM Cognos 8 BI – Query Across Dimensional Data Sources
A technique in which two dimensional sources can be compared to one another using a union and conditional formatting.
Also available in: Chinese   Spanish  
Articles 20 May 2010
IBM Cognos Proven Practices: IBM Cognos BI – Define Independent Drill-Through Definitions for Crosstab Fact Cells
This document will illustrate how to implement independent drill-through definitions for different measures in crosstab fact cells.
Articles 12 May 2011
IBM Cognos Proven Practices: IBM Cognos BI – Use the Member Function or a Calculated Measure to Enhance a Dimensional Report
A brief video illustrating how to use the Member function or a Calculated Measure to ensure the output of a calculation returns a member which can be referenced in another dimensional function.
Articles 24 Jun 2011
IBM Cognos Proven Practices: IBM Cognos BI – Using Dimensional Functions to Determine Current Period
A technique using dimensional functions to determine the current period for a multidimensional data source, OLAP or Dimensionally Modeled Relational (DMR), where the current period has not been defined in the data source itself.
Articles 02 May 2011
IBM Cognos Proven Practices: Using the periodsToDate function within IBM Cognos 10 Report Studio to Calculate an OLAP Running-Total
A description of how the dimensional function periodsToDate can be used outside of a time dimension to calculate a running total against on online analytical processing (OLAP) data source.
Also available in: Russian  
Articles 24 May 2012
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