Skip to main content

Joint child relationships in MSTR

Joint child relationships

Some attributes exist at the intersection of other indirectly related attributes. Such attributes are called joint children.
Joint child relationships connect special attributes that are sometimes called cross-dimensional attributes, text facts, or qualities. They do not fit neatly into the modeling schemes you have learned about thus far. These relationships can be modeled and conceptualized like traditional attributes but, like facts, they exist at the intersection of multiple attribute levels.
Many source systems refer to these special attributes as flags. Therefore, if flags are referenced in your source system documentation, these are likely candidates for joint child relationships.
Joint child relationships are really another type of many-to-many relationship where one attribute has a many-to-many relationship to two otherwise unrelated attributes. For example, consider the relationship between three attributes: Promotion, Item, and Quarter. In this case, Promotion has a many-to-many relationship to both Item and Quarter, as shown in the following diagram.
An example of a promotion might be a “Red Sale” where all red items are on sale. A business might run this promotion around Valentine's Day and again at Christmas time.

Supporting joint child relationships

One way to resolve a many-to-many relationship is to have a relationship table for the attributes involved in the many-to-many relationships. In this case, you might create two relationship tables, one to relate Promotion and Item. The second relates Promotion and Quarter as shown in the following diagram.
These two tables are sufficient to answer questions such as:
What items have been in what promotions?
What quarters have had what promotions?
However, these tables are not sufficient to answer the following more detailed and insightful questions:
What items were in what promotions in a given quarter?
In what quarters was a certain item involved in a certain type of promotion?
To answer these questions, you must combine the two relationship tables, creating one table to relate all three attributes.
The relationship in the distinct relationship table must exist for a joint child relationship to be properly defined. However, it does not necessarily have to be in its own, distinct relationship table. Defining the relationship directly in the lookup table for the parent of the joint child—in this case, Promotion—would be fine. Alternatively, you can build the relationship directly into the fact table.
In these examples, it is important to notice the relationship between the three attributes. The Promotion attribute is related to a particular Item-Quarter pair, as opposed to it being related to Item and Quarter separately. This is the essence of a joint child relationship and is shown in the following diagram.
Notice that a joint child relationship can be one-to-many or many-to-many. The issues with many-to-many relationships, including loss of analytical capability and multiple counting, also apply to many-to-many joint child relationships.
If you have a joint child relationship in your data, it is important for you to define it in MicroStrategy so that you get the correct data for reports that use the parent attribute in a joint child attribute. This ensures that when you need to join the fact table to the parent attribute of a joint child relationship (for example, to see sales by promotion) the join will always use both joint children rather than just one or the other.

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 . ...

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 Tooltips in Microstrategy developer and Web

Custom Tooltips in Microstrategy developer and Web The following table describes the macros you can use to customize graph tooltips in both MicroStrategy Developer and MicroStrategy Web: Macro Information Displayed {&TOOLTIP} All relevant labels and values associated with a graph item. {&GROUPLABEL} Name of the graph item's category. This value is often the graph item's attribute element information, as attributes are commonly used as the categories of graph reports. {&SERIESLABEL} Name of the graph item’s series. This value is often the graph item's metric name information, as metrics are commonly used as the series of graph reports. {&VALUE} The value of a given data point. {&XVALUE} The X-value of a data point. Only applicable to Bubble charts and Scatter plots. {&YVALUE} The Y-value of a data point. Only applicable to Bubble charts and Scatter plots. {&ZVALUE} The Z-value of a data point. Only applicable to Bubble charts and Scatter plots. {...

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...

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...

Multi-Table Data Import(MTDI) from one or more supported data sources

Multi-Table Data Import(MTDI) from one or more supported data sources In MicroStrategy Analytics Enterprise Web 10 onewards, users can now simultaneously import two or more tables from one or more supported data sources, this feature is called Multi-Table Data Import (MTDI) which has been renamed as Super Cubes in MSTR 2019 (Does it sound like multisourcing for all the users without admin help?) Currently, all connectors in MicroStrategy Web 10 except " OLAP " and " Search Engine Indices " support Multi-Table Data Import. Users are able to add multiple tables/files when doing data import from single connector, as shown below: Users are also able to combine multiple tables/files from different sources and store them into one single Intelligent Cube, as shown below:

Fiscal Week, Fiscal Month, Fiscal Quarter and Fiscal Year calculations in Microstrategy

Fiscal Week, Fiscal Month, Fiscal Quarter and Fiscal Year calculations in Microstrategy FiscalWeek Returns the numeric position of a week within a fiscal year, for a given  input date. This function is useful in financial reporting when the start of the fiscal year is different than the start of the calendar year. Syntax FiscalWeek< firstWeekDay ,  firstMonth >( Date / Time ) Where: • Date / Time  is the input date or timestamp. • firstWeekDay  (default value is 1) is a parameter that determines which day of the week is considered as the first day of the week. You can type an integer value from 1 to 7, with 1 representing Sunday, 2 representing Monday, and so on until 7 representing Saturday. • firstMonth  (default value is 1) is a parameter that determines which month is considered as the start of the fiscal year. You can type an integer value from 1 to 12, with 1 representing January, 2 representing February, and so on until ...

Metric values are repeated across rows when a report is executed in MicroStrategy

Metric values are repeated across rows when a report is executed in MicroStrategy When comparing report results between DB Query Tool and MicroStrategy, some reports show repeated metric values in MicroStrategy where there were none in DB Query Tool. To illustrate the issue, a fact table CAT_ITEM_SLS has been added into the MicroStrategy Tutorial project and populated with a small set of three rows. CAT_ID ITEM_ID REVENUE  1 1  10   1 2  20  2  2  30  Report results in DB Query Tool: Report results in MicroStrategy: In MicroStrategy, the row for "Art As Experience" in the Spring 2007 catalog repeats the $20 value from the Winter 2007 catalog, where DB Query Tool shows the $30 value from the fact table. CAUSE The discrepancy occurs because the attribute elements for Catalog and Item are in a many-to-many relationship, but the attribute relationship in the MicroStrategy schema is defined incorrectly w...

Execute Integrity manager test from Command line

Execute Integrity manager test from Command line  MSTR Integrity Manager allows the user to execute a test without having to load the GUI, or to schedule a test to run later at specific times or dates. Go over using Windows AT command at: https://support.microsoft.com/en-us/help/313565/how-to-use-the-at-command-to-schedule-tasks https://www.lifewire.com/at-command-2618090 Here are the prerequisites to execute a test from the command line: Create a test and saved using the Integrity Manager graphical interface. Make sure that the users has the ' Use Integrity Manager ' privilege for that project(provided by the administrator) and the ' Execute ' permission for the reports to be tested. Keep in mind that MicroStrategy Integrity Manager can only test three-tier projects, i.e., projects which are connected to a MicroStrategy i- Server. Projects in Direct Connection (two-tier) mode cannot be tested with this tool...

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 ...