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OLAP Client

OLAP client control lets you efficiently browse and analyze the multidimensional data from the OLAP data source. It lists all the cubes, dimensions, measures, named sets, and KPIs that are available in the OLAP data source, and lets you to slice and dice the cube. You can also create the report from the data source using OLAP client and store it for later use.


Data Binding

OLAP control enables you to retrieve multidimensional data from SSAS or any XML/A provider and present the OLAP information in meaningful ways. Following is the list of data sources our OLAP controls support:

  • Microsoft SQL Server Analysis Services (MS SSAS)
  • Mondrian
  • ActivePivot


Slice and Dice

OLAP client is great for building analysis and decision making applications where end users can easily drag and drop dimensions and measures of their choice to visualize performance, trends, outliers, and more. On dragging and dropping an element into the axis element builder, the element will be added to the corresponding axis of the current report. The element can be dragged and dropped from:

  • Cube Dimension Browser
  • Another Axis Element Builder


OLAP Grid

OLAP grid is used to display the results of the slice-and-dice operation, which is a set of multidimensional OLAP values, in a concise, precise, and compact area. Rendering of data in the tabular format can be easily understood by users of any level. OLAP grid also has drill down and drill up capabilities. Built-in support for grid layout and tooltip enhances user experience. You can also export the grid content.


OLAP Chart

OLAP chart provides another view of the slice-and-dice results in a user-friendly chart UI. You can also select from a set of 17 different chart types. Interactive capabilities allow end users to expand/collapse the different levels in a hierarchical dimension. Built-in support like palette and tooltip enhances user experience.


Key Performance Indicators

KPI are a collection of calculations associated with a measure group that evaluates business success. Typically, these calculations are a combination of multidimensional expressions (MDX) or calculated members. There are four different types of available indicators:

  • KPI Goal
  • KPI Status
  • KPI Trend
  • KPI Value


Calculated Members

OLAP client control would display user-defined dimensions and measures through an UI specially created to define and add dimensions and measures. The calculated members are classified into two types: calculated measure, a user-defined measure element created from an existing measure element; and calculated dimension, a user-defined dimension element created from an existing dimension. New calculated members can also be created from existing calculated members, and they can be added to a report through the UI.


Named Set

A named set is a multidimensional expressions (MDX) expression that returns a set of dimension members, which can be defined and saved as a part of the cube definition. Named sets are created by combining Cube data, arithmetic operators, numbers and functions. Named sets simplify MDX queries and provide useful aliases for complex, typically used, set expressions.


Virtual KPI

Virtual KPI is now built into the OLAP client control to help visualize growth and trends over time. Standard directional arrows, as well as red and green indicators and stop lights, can be used to visualize a variety of data types. Users can also create their own KPIs at run time and write expressions as well. In an expression, positive numbers will be represented by a green light or up arrow, and negative numbers will be represented by a red light or down arrow, depending on the user preference.


Filtering by Members

Filtering by members in OLAP client provides you the option to check or uncheck the nodes to filter the members besides each dimension. Based on the member selection, filtered MDX query will be generated and executed.


Dynamic Report

OLAP report can be created and updated on the fly by dragging and dropping measures, dimensions, hierarchies, levels, etc., from cube dimension browser to axis element builder. We can also change the axis of measures, dimensions, hierarchies, levels, etc., by dragging and dropping the split button between different axes in the axis element builder.


Toolbar

OLAP client allows users to perform various functions such as adding new reports, removing existing reports, exporting, renaming reports, toggle pivot, show\hide expanders, paging options, show MDX, and connecting to new datasource using the OLAP client toolbar. End users can change the chart types and legend types using the icons in the chart toolbar, and also change the grid layout, enabling header cell tooltip and hyperlink cells through the icons present in the grid toolbar.


Paging

OLAP client data can be viewed page-by-page through the pager option. The page size for categorical and series axes are set in the OLAP report through which large amounts of data are broken and navigated quickly and easily. Users can navigate the page with the help of a navigation bar available within the OLAP pager.


Themes

OLAP client supports different types of predefined themes, allowing users to switch among them to view the controls in different looks. Supported themes are Office2007Blue, Office2007Black, Office2007Silver, Blend, Metro, Office2010Blue, Office2010Black, and Office2010Silver.


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