Skip to main content

Level Metrics **** Easy to Understand****

Overview of level metrics in MSTR

This section helps you choose the right combination of level target, filtering, and grouping (referred to as elements) to achieve your desired results. This section shows the effects of different element settings on a single metric when used in the same report. The effects are summarized in Level metrics summary table.
The elements of a metric level are described below:

Target: The target is the attribute level at which the metric calculation groups. For a more detailed description, see Target: The context of a calculation.


Grouping: Grouping determines how the metric aggregates. For a more detailed description, see Grouping: How aggregation is performed.


Filtering: Filtering governs how the report filter interacts with the metric calculation. For a more detailed description, see Filtering: Interaction with report filters.

The base metric and report

All the metrics in this section are based on a revenue metric that is the sum of the Revenue fact. The base report displayed below contains this Revenue metric, and the Category and Subcategory attributes. Each category is subtotaled, and a grand total is calculated. It has a report filter on the following subcategories:

Art & Architecture


Literature


Drama


Alternative
The base report is shown below:
external image LevelMetricsBase_258x168.gif

Level metrics summary table

The Revenue metric calculates the revenue for each subcategory displayed on the report.
To CalculateSet Filtering ToSet Grouping To
Revenue at the category level, including only the subcategories displayed on the reportStandardStandard
Revenue at the category level, for all subcategories in the categories displayed on the reportAbsoluteStandard
Total revenue for the subcategories displayed on the reportStandardNone
Total revenue for all subcategories in the categories displayed on the reportAbsoluteNone
Total revenue for all subcategories in the projectIgnoreNone
All the level metrics described in this section have a target of Category.

Category revenue examples

The following report shows the base report with the addition of two new metrics, both measuring category revenue in different ways.
external image MetricLevelSummaryCategory_430x234.gif
Notice that the Category Revenue for Displayed Subcategories metric returns the same number as the category subtotal. The Art & Architecture and Literature columns are the same as the Books Total. Why?

Standard filtering allows the report filter to interact as usual in the metric calculation. Therefore, only the subcategories in the report filter are included in the metric calculation. This is affirmed by the grand total of this metric—it matches the total for the Revenue metric. This indicates that only the attributes displayed on the report are included in this Category Revenue metric.
The numbers returned by the Category Revenue for All Subcategories in Displayed Categories metric are higher than the numbers for the other metrics on the report. Why?

Absolute filtering changes the filter on children of the target, by raising it to the level of the target, if possible. In this example, the report filter is Subcategory, which is a child of Category, the level target. Since the report filter is on a lower level than the target, the filter is raised to the level of the target. All subcategories in the categories on the report are included in the metric calculation.
Why do the Category Revenue metrics calculate the same number for each row in a particular category?

Both metrics have standard grouping, which means that the metric groups by the attribute level of the target. In this case, the target is category. The metric calculation is rolled up to Category, so the same number is repeated for each row in a particular category.

Total revenue examples

The following report shows the base report with the addition of three new metrics, all measuring total revenue.
external image MetricLevelSummaryTotal_514x220.gif
The most obvious difference between this report and the Category Revenue example above is that each column contains only one number; each metric is returning only one result, regardless of row. Why?

All the metrics on this report, except for Revenue, have grouping set to none. No grouping means that the metric does not group on the target of category or the target’s child attributes, such as subcategory. Therefore, separate results are not calculated for the different attributes on the report; only one result is calculated.
The Total Revenue for Displayed Subcategories metric returns the same number as the total for the Revenue metric. Why?

Standard filtering allows the report filter to affect the metric. Therefore, only the subcategories in the report filter are included in the metric calculation. This is confirmed by the number matching the total for the Revenue metric. This indicates that only the attributes displayed on the report are included in this Total Revenue metric.
Refer to the report in Category revenue examples. Notice that the total for the Category Revenue for All Subcategories in Displayed Categories metric is the same amount calculated for the Total Revenue for All Subcategories in Displayed Categories metric on the total revenue report. Why?

Both metrics have filtering set to absolute. Absolute filtering raises the report filter to the level of the target, so all subcategories in the categories included on the report are added together.
The result for the Total Revenue for All Subcategories metric is huge. Why?

It includes the total revenue for all subcategories in the entire project. Ignore filtering disregards filtering criteria based on the attribute in the target and its related attributes (both parents and children). In this case, subcategory in the report filter is ignored, so the report filter does not apply to this metric.

Comments

Post a Comment

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 . ...

MicroStrategy URL API Parameters

MicroStrategy URL Structure The following table summarizes the root URL structure used for every request to MicroStrategy Web. Environment Main Application URL Administration URL J2EE http://webserver/MicroStrategy/servlet/mstrWeb http://webserver/MicroStrategy/servlet/mstrWebAdmin .NET http://webserver/MicroStrategy/asp/Main.aspx http://webserver/MicroStrategy/asp/Admin.aspx Every request sent to MicroStrategy Web calls a central controller. Parameters are appended to  Main.aspx  or  mstrWeb  (in a .NET and J2EE environment, respectively) to indicate to the controller how the request should be internally forwarded and handled. The following examples show a URL for accessing a MicroStrategy folder when the user does not have an existing session. The URL contains not only the parameters needed to connect to MicroStrategy Web, but also the parameters needed to log on and create a session. J2EE environment: <a href="http:...

Custom Subtotal Displays in MicroStrategy

Defining custom subtotal displays in MicroStrategy By default, when users apply subtotals in a report, the name of the subtotal is displayed in the subtotal line items that appear in the report. Users can use custom subtotals to give more control over the characteristics of a subtotal. Custom subtotals allow users to define custom subtotal line items that appear on the reports  U sers can make the subtotal name dynamic by typing special characters in the subtotal name field as listed in the following table. Character Description #A The name of the attribute under which the subtotal appears. #P The name of the attribute to the left of, or above the attribute under which the subtotal appears. #0 All the forms of the parent element. #1 The first form of the parent element reading from left to right or from top to bottom. #2 The second form of the parent element reading from left to right or from top to bottom. #3 The third form of th...

Control the display of null and zero metric values

Show   Control the display of null and zero metric values in a grid report You can determine how to display or hide rows and columns in a grid report that consist only of null or zero metric values. You can have MicroStrategy hide the rows and columns in the following ways: Hide rows and columns that consist only of null metric values Hide rows and columns that consist only of zero metric values Hide rows and columns that consist only of null or zero metric values (default) Once you have defined how MicroStrategy hides null and zero metric values in the grid, you can quickly show or hide the grid using the Hide Nulls/Zeros option in the Data menu, as described below, or by clicking the  Hide Nulls/Zeros  icon  in the Data toolbar. To determine how null and zero metric values are displayed or hidden in a grid report Open the report in Edit mode. From the  Tools  menu, select  Report Options . The Report Options...

Case functions Microstrategy

Ca se functions Microstrategy Case functions return specified data in a SQL query based on the evaluation of user-defined conditions. In general, a user specifies a list of conditions and corresponding return values. Case This function evaluates multiple expressions until a condition is determined to be true, then returns a corresponding value. If all conditions are false, a default value is returned.  Case  can be used for categorizing data based on multiple conditions. This is a single-value function. Syntax Case ( Condition1 ,  ReturnValue1 ,  Condition2 , ReturnValue2 ,...,  DefaultValue ) Example Case(([Total Revenue] < 300000), 0, ([Total Revenue] < 600000), 1, 2) sum(Case (Day@DESC in (“Sat”,”Sun”), Sales, 0) {~+} Sum(Case(Category@DESC In("Books","Electronics"),Revenue,0)){~+} CaseV (case vector) CaseV  evaluates a single metric and returns different values according to the results. It can be used to perfo...

Types of filters in Microstrategy

Types of filters in Microstrategy Below are the types of filters: 1. Attribute qualification filter These types of qualifications restrict data related to attributes on the report. a) Attribute form qualification Filters data related to a business attribute’s form(s), such as ID or description. •  For example, the attribute Customer has the forms ID, First Name, Last Name, Address, and Birth Date. An attribute form qualification might filter on the form Last Name, the operator Begins With, and the letter H. The results show a list of customers whose last names start with the letter H. b) Attribute element list qualification Filters data related to a business attribute’s elements, such as New York, Washington, and San Francisco, which are elements of the attribute City. • For example, the attribute Customer has the elements John Smith, Jane Doe, William Hill, and so on. An attribute element list qualification can filter data to display only those customer...

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 ...

Microstrategy Report Services documents and dashboards

Microstrategy Report Services documents vs Dashboards A MicroStrategy Report Services document displays data coming from multiple reports, with the data laid out and designed in presentation-quality format. Most data on a document is from one or more underlying datasets. A dataset is a standard MicroStrategy report. Other document components that do not originate from the dataset, such as static text used for a title or heading, page numbers, and images, are added by the document's designer and are stored in the document's definition. A Report Services (RS) dashboard is a special type of document. An RS dashboard is commonly only one page long, is intended to be viewed online, and usually provides interactive features that let analysts change how they view the dashboard’s data, as well as what data they are viewing. A broad selection of widgets and a wide variety of formatting options allow you to design a customized, interactive dashboard. Both documents and RS dashb...

Report filters are being ignored in Microstrategy report SQL

Report filters are being ignored in Microstrategy report SQL When users run a report using a simple filter, the filter is not applied to the report in MicroStrategy Developer 9.x and 10.x. The results returned to the users are not filtered as expected. The Report SQL indicates that the filter has not been applied. CAUSE: One scenario is that the MicroStrategy 10.x SQL Engine is ignoring the conditionality at the report level because a metric in the report also contains a related conditionality which has been set to "remove related report filter elements" or "ignore" the filtering criteria at the report level. ACTION: When a report contains the above situation, the follow steps can be done to have both filters applied and be merged for the report results to be executed with: If the report's and metric's filter affect attributes from the same hierarchy, check that the following setting is un-checked: This setting is placed in the me...