Skip to main content

Hierarchy Reporting with Ragged Hierarchies

KB300417: New feature in MicroStrategy 10.4 Secure Enterprise Platform: Hierarchy Reporting



Hierarchy Reporting is a new feature introduced in MicroStrategy 10.4 Secure Enterprise Platform. This technical note explains the supported configurations, required changes in MicroStrategy Web preferences, a Hierarchical Attribute and its creation steps, and general features of Hierarchy Reporting.
Mar 30, 2017KB Article
Content
SUMMARY:
Hierarchy Reporting is a new feature introduced in MicroStrategy 10.4 Secure Enterprise Platform. This technical note explains the supported configurations, required changes in MicroStrategy Web preferences, a Hierarchical Attribute and its creation steps, and general features of Hierarchy Reporting.

WHAT IS HIERARCHY REPORTING?
Unbalanced hierarchies(also known as ragged hierarchies) are hierarchies with branches that descend to inconsistent levels. For example, in an Employee hierarchy, different parts of the organizational structure will have more management levels than others. 
Many organizations have aspects of their business that are organized in unbalanced hierarchies. Besides the Employee hierarchy, other typical examples include a chart of accounts, complex product portfolios, and multinational geographic groupings. 
Hierarchy Reports are a class of reports in which the data is naturally organized and presented in a hierarchical structure. Hierarchy Reporting features treat hierarchies as a first-class citizen, and make interacting with entire hierarchies intuitive and efficient. Both balanced and unbalanced hierarchies may be represented in a hierarchy report, although unbalanced hierarchies benefit the most from Hierarchy Reporting features.

SUPPORTED DATA SOURCE AND INTERFACES
In MicroStrategy 10.4 Secure Enterprise Platform, the following data sources are supported for Hierarchy Reporting. See the Readme for the exact database versions supported.
  • Microsoft Analysis Services
  • Oracle Essbase
Hierarchy Reporting features are currently supported only in Dashboard (Visual Insight). Normal reports, Report Services documents, and Mobile are not supported in version 10.4.

WEB PREFERENCE
Hierarchy Reporting is released as a Preview feature in MicroStrategy 10.4 Secure Enterprise Platform. When MicroStrategy is installed, Hierarchy Reporting will be disabled by default. To enable Hierarchy Reporting, implement the following steps:
  1. Log into MicroStrategy Web as an administrator.
  2. On the upper right of any page, click on the user name, and then select Preferences from the drop-down list.
  3. By default, the General preferences at the User Preferences level page is displayed. On this page, go to the Features for Customer Feedbacksection. For the Financial Reporting feature, change the feature status to “On” as shown below.
    1.jpg
    1.jpg
  4. At the bottom of the page, click on Apply

HIERARCHICAL ATTRIBUTE
In order to facilitate the building of hierarchy reports, 1MicroStrategy Secure Enterprise Platform 10.4 introduces a new type of attribute: the hierarchical attribute. The hierarchical attribute represents an entire hierarchy and all its levels. For example, you may have a Time hierarchical attribute that represents the Time hierarchy, including its levels Year, Quarter, Month, and Day. In contrast, a normal attribute usually represents a single level of a hierarchy (e.g., Year). The hierarchical attribute can be placed on a grid, filtered, and sorted, much like a normal attribute.

CREATING HIERARCHICAL ATTRIBUTES WITH DATA IMPORT
To create a hierarchy report, the first step is to perform a Data Import and connect to an OLAP data source. There are two ways to initiate the Data Import:
1) Create a standalone Intelligent Cube
The Intelligent Cube can be used to create dashboards at a later time. To import data into an Intelligent Cube, click on the Create button in the upper left of any page, and select Add External Data.
2) In Visual Insight Dashboard, import data
Data can be imported from within a dashboard. Create a new dashboard by clicking on the Create button in the upper left of any page, and select New Dashboard. In the dashboard toolbar, click the arrow next to the Add Dataset icon
2.jpg
2.jpg
, then select External Data

Once Data Import is initiated, take the following steps to create hierarchical attributes:
  1. In the 'Connect to Your Data' page, click OLAP. The 'Import From Cubes' page opens.
  2. From the MDX Connections panel on the left, select the name of the data source connection that contains the data to import. The cube catalog is displayed in the Browse Catalog panel.
  3. Click on the arrow to the left of the cube catalog to see a list of the cubes in the selected data source.
  4. To add a cube to import, click and drag the name of the cube from the Browse Catalog panel to the Editor panel on the right of the page. The cube name is displayed in the Editor panel.
  5. Below the Editor panel, select the option to Import hierarchy as hierarchical attribute.
  6. Click Finish.

Using Hierarchical Attributes in a Visual Insight Dashboard
When a Visual Insight dashboard is linked to a dataset, the hierarchical attributes are listed in the Datasets Panel. Hierarchical attributes will be denoted with the
3.jpg
3.jpg
icon. To use a hierarchical attribute in a visualization, simply drag-and-drop the desired hierarchical attribute into the main panel.
To search for the desired hierarchical attribute, use the Search box at the top of the Datasets Panel.
When the hierarchical attribute is first placed on a grid, the hierarchy will be displayed with its element tree collapsed. Elements can be expanded and collapsed by clicking on the + (expand) or  (collapse) button next to the element.
4.jpg
4.jpg



NAVIGATION SHORTCUTS
Every level of the entire hierarchy can be expanded or collapsed by using the Expand/Collapse All Levels shortcut.
  1. Hover over the row or column header to reveal an arrow on the right side of the header. Click on the arrow.
  2. Select Expand All Levels or Collapse All Levels.

A similar shortcut is available for each element as well, in order to expand every level of a branch.
  1. Right click on an element of a hierarchy.
  2. Select Expand All Lower Levels.

SORTING
When a report with a hierarchical attribute is sorted, the structure of the hierarchy will remain intact, so every element will retain its parent in the hierarchy tree. Each level of the hierarchy will be sorted separately from the other levels.
To sort on a hierarchy or a metric, hover over the row or column header to reveal an arrow on the right side of the header. Click on the arrow. The sorting options available are:
  • Sort Ascending
  • Sort Descending
  • Advanced Sort

The Advanced Sort dialog will allow users to:
  • sort on multiple hierarchical attributes or metrics
  • sort on alternative attribute forms, such as ID or Description

FILTERING
To filter the data in a dashboard sheet, drag a hierarchical attribute into the Filter Panel. The Filter Panel will display the elements of the hierarchy in a tree. Select or deselect elements to filter the data.

FILTER SELECTION SHORTCUTS
Groups of elements can be selected or deselected with the use of shortcut buttons. There are two types of shortcuts: branch selection, and level selection.
Users may want to see all elements of a hierarchy branch. For example, if users want to see the Year 2015 along with all Quarters and Months of 2015. To select or deselect all elements of a branch in the Filter Panel, hover over an element to reveal the branch selection shortcut
6.jpg
6.jpg
to the right of the element. Click on the branch selection shortcut.
Users may also want to see only the elements of a particular level of the hierarchy. For example, a user may want to see data at the Year level for every Year, but not data at the Quarter or Month levels. The level selection shortcut is a row of buttons above the hierarchy. 
5.jpg
5.jpg

To select or deselect all elements of a level, click on the button corresponding to the hierarchy level. Clicking on the All button will select or deselect all elements.

APPLYING MULTIPLE FILTER CHANGES ALL AT ONCE
By default, each time a change to the filter is made, the data in the sheet will be immediately refreshed. If the sheet contains large amounts of data, it may be helpful to apply a number of filter changes all at once. In order to be able to make a number of changes to the filter before applying it, click on the arrow at the top right of the Filter Panel, and de-select the Auto-apply Filters option. An Apply button will appear at the top of the Filter Panel.
For more information on the Visual Insight Dashboard Filter Panel, see Creating filters for a sheet of data.

VISUAL INSIGHT DASHBOARD FEATURES NOT SUPPORTED BY HIERARCHY REPORTING IN MicroStrategy Secure Enterprise Platform 10.4
The hierarchical attribute is not supported by some features in Visual Insight Dashboard. When a hierarchical attribute is in the dashboard’s dataset, the unsupported features will be disabled in the interface.
The following features are not supported by the hierarchical attribute. (For each feature, the location of the feature in the interface is listed. When there are multiple ways to perform the action, only one of the ways is documented below.)
  • Convert to Document (File > Convert to Document)
  • Download dashboard (File > Download Dashboard)
  • Adding multiple datasets (File > Add Data)
  • Replace dataset (Dataset menu > Replace Dataset With)
  • Create Group (Right click on grid element > Group)
  • Create Calculation (Right click on grid element > Calculation)
  • Alternative display styles for the Filter Panel (Filter menu > Display Style)
  • Exclude option for filtering (Filter menu > Exclude)

Comments

Popular posts from this blog

Microstrategy Custom number formatting symbols

Custom number formatting symbols If none of the built-in number formats meet your needs, you can create your own custom format in the Number tab of the Format Cells dialog box. Select  Custom  as the Category and create the format using the number format symbols listed in the table below. Each custom format can have up to four optional sections, one each for: Positive numbers Negative numbers Zeros Text Each section is optional. Separate the sections by semicolons, as shown in the example below: #,###;(#,###);0;"Error: Entry must be numeric" For more examples, see  Custom number formatting examples . To jump to a section of the formatting symbol table, click one of the following: Numeric symbols Character/text symbols Date and time symbols Text color symbols Currency symbols Conditional symbols Numeric symbols For details on how numeric symbols apply to the Big Decimal data type, refer to the  Project Design Guide . ...

Reduce Intelligent Cube Size By Finding Intelligent Cube Objects Which Are Not In Use

Reduce Intelligent Cube Size By Finding Intelligent Cube Objects Which Are Not In Use If the i-cubes can potentially be reduced in size an audit can be performed on the cube objects to see which cube objects are not being used by any of the view reports, documents, or dossiers.   The below are examples for a few of the common metadata database platforms . NOTE: To perform this audit, queries are run against the MicroStrategy metadata database. Ensure a metadata backup is taken prior to performing the below actions. Steps: 1) Identify the object ID of the Intelligent cube to be audited by checking the objects Property window 2) Identify the object ID of the project this cube exists within by opening the Project Configuration Sample Cube ID =   CFAF1E9B4D53990698C42E87C7AF2EB5 Sample Project ID =  B7CA92F04B9FAE8D941C3E9B7E0CD754   3) Run the below SQL against the metadata database by replacing the Cube ID and Project ID within the respective ...

Compound key attribute

Compound key attribute A compound key attribute is an attribute whose primary key is made up by the combination of two or more columns. The multiple columns are joined with other attributes, typically in a many-to-many relationship . To create a compound key, users must create multiple attribute forms, group them together and set the form group as the key for the attribute. Use the same steps as specified in the help menu: Open attribute editor (right-click on attribute and select 'Edit') Select the forms that will make up the compound key From the 'Edit' menu, choose 'Group' NOTE: Modifying the key form will trigger required updates when saving. This may make related application objects (reports, filters and metrics) unusable. Click on 'Yes' to continue, when prompted, in a dialog box, to confirm this action Save the changes. Choose 'Update Schema' from the Schema menu

Algorithm to calculate Logical Table Size in Microstrategy

How are the fact tables determined using the logical table size for SQL generation in MicroStrategy The logical table size is an integer number that represents the granularity or level of aggregation of a particular table. It is called 'logical' because it is not related to the physical size of the tables (number of rows). It is calculated according to the attribute IDs that are present in the table and their level in the system hierarchy.   Even though, the number does not reveal the actual number of rows in the table, it is an accurate way of measuring a table size without having to access its contents.   IMPORTANT:   The system hierarchy is defined by the parent-child relationships between attributes of the same family (formerly known as a dimension), not by user-defined hierarchies (i.e., drilling hierarchies).   MicroStrategy Engine utilizes an algorithm based on attribute keys to calculate the Logical Table Size (LTS): Given the following tables: ...

Microstrategy Removing sections that do not have metric data

Removing sections that do not have metric data This is an interesting feature which might not be explored by many of us and it comes us handy. A  cross join between datasets can result in rows or Group Header/Footer sections that do not have metric data. For example, a document contains two datasets. Dataset 1 contains Year and Revenue, with data for three years (2007-2009). Dataset 2 contains Year and Profit, filtered to return data for only two years (2008 and 2009). If you place Year and Profit in the Details and execute the document, it displays three rows, although no profit data exists for 2007. This is a product of the cross join between the two datasets. You do not want to see the blank line for 2007 since it does not give you any data for profit. You can select the  Trim sections for which no metric value data is available  check box. This removes the row for 2007, since no metric data for Profit is available for 2007. The results are shown below: ...

Create a transaction services photo uploader

Create a transaction services photo uploader   1.  Create a new table "photo_upload" in Tutorial warehouse database (the default location: C:\Program Files\MicroStrategy\Tutorial Reporting\TUTORIAL_DATA_7200.mdb), as shown below:    2. The 'photo_upload' table has to be pre-populated with *exactly* 10 rows of data, the values for the 'ID' column should be 1-10 and the values for the 'uploaded' column should all be 0 3.  In MicroStrategy Desktop, create a freeform report "R1" based on the new table "photo_upload" in Tutorial data created at step 1, as shown below:   SELECT Location, Description, ID, uploaded, numbers FROM PHOTO_UPLOAD 4.  Create another table for transaction insert SQL. Make sure to create an 'autonumber' type ID as primary key for this table, or auto_increment ID for different DBs.                     5. Create...

Predictive modelling in Data Science using Microstrategy

Creating a predictive modelling in MicroStrategy MicroStrategy Data Mining Services has been evolving to include more data mining algorithms and functionality. One key feature is MicroStrategy Developer’s Training Metric Wizard. The Training Metric Wizard can be used to create several different types of predictive models including linear and exponential regression, logistic regression, decision tree, cluster, time series, and association rules. Linear and exponential regression The linear regression data mining technique should be familiar to you if you have ever tried to extrapolate or interpolate data, tried to find the line that best fits a series of data points, or used Microsoft Excel’s LINEST or LOGEST functions. Regression analyzes the relationship between several predictive inputs, or independent variables, and a dependent variable that is to be predicted. Regression finds the line that best fits the data, with a minimum of error. For example, you have a dataset ...

Scheduling a report or document to be sent to an FTP in MSTR

Scheduling a report or document to be sent to an FTP server You can have a report or document automatically delivered to a location on your FTP server on a specific schedule. To do so, you must subscribe to the report or document, as described in the steps below. You can customize your subscription by typing macros in the  File Name ,  Sub-folder , or  Zip File Name  fields. These macros are automatically replaced with the appropriate text when the report or document is delivered. For example, you create a subscription to a document. If you type  {&Project}  in the  File Name field, the name of the project in which the document is saved is displayed in the name of the document when it is delivered. • This procedure assumes that an administrator has already added your FTP server as a new device in Developer. Steps to do so are included in the  System Administrator Help . To send a report or document to an FTP server on a schedule ...

Settings for Outer Join between metrics in MicroStrategy

Settings for Outer Join between metrics in MicroStrategy MicroStrategy adopts multi-pass logic to determine the execution plan for a report. This means that every metric is evaluated in separate SQL passes. Outer Joins come into play when MicroStrategy Engine merges the results from all SQL passes into one report. For a multi-pass report, different Outer Join behaviors can give the user completely different results. In addition, report metrics can be of different types which can, in some cases, influence the result of the outer join. In MicroStrategy, there are two settings that users can access to control Outer Join behavior : Formula Join Type and Metric Join Type . Metric Join Type: VLDB Setting at Database Instance Level Report and Template Levels Report Editor > Data > Report Data Options Metric Level   Metric editor > Tools > Metric Join Type Control Join between Metrics Formula Join Type: Only at Compound/Split...