This documentation describes the current functionality of the product. References to items that are not currently available may be included. No implication of any. IBM Cognos Analysis Studio · Creating a Basic Analysis · Working With Items in the Tips for IBM Cognos Series 7 PowerPlay Users · Limitations When. IBM Cognos 8 BI Analysis for Microsoft Excel Installation Guide, link to pdf version IBM Cognos 8 Business Intelligence PowerPlay Client.
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Intersections Tuples Can Include Calculated Members and Measures You can now insert calculated members and measures in an intersection tuple. For more information, see Suppress Empty Cells. New Query Properties The following two new properties allow you to customize queries: Extended Suppression Capabilities You can now suppress rows, columns, or rows and columns based on zero, null, divide by zero, and overflow values in reports created with relational, dimensionally-modeled relational, and OLAP data sources.
For example, you can map the member caption instead of the business key to the target. You can now insert calculated members and measures in an intersection tuple. A greater variety of colorful graphics and backgrounds are now available for dashboards and reports. For more information, see Create a Drill-up and Drill-down Report. In Report Studio, you can now define a drill-through definition that allows a report to be shown on the Go To page only when a specific measure, dimension, hierarchy, alternate hierarchy, level, or query item exists in the source report.
A new Line Type property for the Line object in the chart allows you to use vertical and horizontal lines to connect the data points, forming a step-like progression. Microcharts are miniature line and column charts.
For example, you can now include borders with rounded corners, transparent background fills and images, drop shadows, and background gradients. For more information, see Insert a Hierarchy. This allows you to sort using calculated members and measures.
In addition, the sorting of data by member is enhanced. For more information, see Create an Intersection Tuple. Individual segment height is a percentage of the respective uesr total value.
Analysis Studio User Guide
For example, you can view the lineage information of a model calculation to see how it was created. Enhanced Report Graphics A greater variety of colorful graphics and backgrounds are now available for dashboards and reports. Analyeis can apply conditional styles to crosstab cells based on an adjacent value in the crosstab.
Win-loss charts are microcharts where the value of each bar is either one or minus one.
Line charts can now also include opening, closing, minimum, and maximum value markers. For more information about queries in the dimensional reporting style, see Working with Dimensional Queries. This chart type is often used to represent a win or loss. A member can appear sorted in the metadata tree and on the report without slowing performance.
Synchronized Drilling Up and Drilling Down with Multiple Queries You can now link groups of data items from different queries in a report so that when you drill up or down on one query, data items in the other query also drill up or down.
By default, the business key is used.
Analysis Studio User Guide 10.2.1
This means that the hierarchical relationship of a level is considered when member sorting is applied. The Palette property provides palettes that match those from various versions useer Excel.
Crosstab Measures Can be Formatted Based on Other Crosstab Measures You can apply conditional styles to crosstab cells based on an adjacent value in the crosstab. Line charts atudio include an option for creating step line charts. You can now view lineage information of a data item to see what the item represents before you add it to a report. Listed below are new features since the last release.
In ckgnos charts, a new Bubble Size property allows you to control the size of bubbles in relation to the actual values of the Z-axis. For more information about query reuse, see the Framework Manager User Guide.
You can now perform dynamic filtering of data in Report Studio reports. When the source report is based on a dimensional package and you choose to pass parameter values, you can now choose what property of the source metadata item to map to the target item.
You can disable query reuse for each individual query in Report Studio, or you can disable query reuse for the entire package in Framework Manager.
Also, members of a level are sorted in the context of their ancestor levels. In previous releases, if a query contained multiple hierarchies from the same dimension, you encountered errors or no data appeared in your report.
Marimekko charts are percent stacked charts in which the width of a column is proportional to the total of the column’s values. For example, you can conditionally usrr the bubbles in a bubble chart based on any combination of the measures, and you can conditionally color an entire row of the crosstab based on any measure guid the columns. There is now support for multiple hierarchies of a single dimension for dimensionally-modeled relational data sources.
Lineage Information for Data You can now view lineage information of a data item to see what the item represents before you add it to a report. For more information about color palettes, see Customizing the Color Palette of a Chart. Viewing lineage information ensures that you add the correct data items to a report. This allows you to restrict when the drill path is available to users. For more information, see Using Drill-through Access. You can now link groups of data items from different queries in a report so that when you drill up or down on one query, data items in the other query also drill up or down.
A data item’s lineage information traces the item’s metadata back through the package and the package’s data sources.
For more information, see Add Background Effects.
For more information about queries in the relational reporting style, see Working with Relational Queries. You can analysiz suppress rows, columns, or rows and columns based on zero, null, divide by zero, and overflow values in reports created with relational, dimensionally-modeled relational, and OLAP data sources.