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 . ...

mstrio – Python and R wrappers for the MicroStrategy

mstrio – Python and R wrappers for the MicroStrategy REST APIs Connecting to MicroStrategy  Create a connection to the Intelligence Server using   Connection()   and    connect()  in Python and R, respectively. Required arguments for the   Connection()  function are the URL for the MicroStrategy REST API server, MicroStrategy Intelligence Server username and password, as well as the MicroStrategy project name. By default, the   connect()  function anticipates your MicroStrategy Intelligence Server username and password. LDAP authentication is also supported. Use the optional argument    login_mode=16    in the    connect()  function for LDAP authentication.  Extract data from cubes and reports  To extract data from MicroStrategy cubes and reports, use the   get_cube()  and   get_report()  functions. Use...

Update the data on an Intelligent Cube without having to republish the entire cube in MicroStrategy

Update the data on an Intelligent Cube without having to republish the entire cube in MicroStrategy MicroStrategy has introduced a feature known as, Incremental Refresh Options, which allow Intelligent Cubes to be updated based on one or more attributes, by setting up incremental refresh settings to update the Intelligent Cube with only new data. This can reduce the time and system resources necessary to update the Intelligent Cube periodically versus a full republish. For example, if a user has an Intelligent Cube that contains weekly sales data, the user may want this Intelligent Cube to be updated at the end of every week with the sales data for that week. By setting up incremental refresh settings, he can make it so that only data for one week is added to the Intelligent Cube, without affecting the existing data and without having to reload all existing data. Users can select t...

Microstrategy Dossiers explained

Microstrategy  Dossiers With the release of MicroStrategy 10.9, we’ve taken a leap forward in our dashboarding capabilities by simplifying the user experience, adding storytelling, and collaboration.MSTR has  evolved dashboards to the point that they are more than dashboards - they are  interactive, collaborative analytic stories . Ultimately, it was time to go beyond dashboards, both in concept and in name, and so  the've  renamed VI dashboards to  ‘ dossiers ’.  Dossiers can be created by using the new Desktop product or Workstation or simply from the Web interface which replaces Visual Insights. All the existing visual Insights dashboards will be converted to Dossiers   With MicroStrategy 10.9, there was an active focus on making it easier to build dashboards for the widest audience of end users. To achieve this, some key new capabilities were added that make it easier to author, read, interact and collaborate on dashboards ...

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...

MicroStrategy default sort order for an attribute elements browsing

MicroStrategy default sort order for an attribute elements browsing and display How does MicroStrategy 9.x resolve the default sort order for an attribute when different sort orders are defined for different forms? Consider the following cases: CASE 1 A new attribute is created with three forms, all with sort order set to none. Form Name Form Type Default Sort Order ID ID None DESC DESC None LongDesc None None The overall sort order is evaluated and stored in the attribute definition when the attribute is saved. With all form sort orders set to none there is no saved sort order, MicroStrategy defaults to sort ascending by ID. CASE 2 The same attribute is modified so the forms are now: Form Name Form Type Default Sort Order ID ID None DESC DESC Descending LongDesc None Ascending Now when the attribute is saved, MicroStrategy goes through each form in the order they appear in the main 'Forms' window of the attribute editor. The first...

HyperIntelligence and its Architecture

HyperIntelligence and its Architecture When you open a web page the extension automatically scans web pages in your browser and underlines keywords that you can hover over to trigger cards. Cards present predefined KPIs associated with a selected keyword sourced securely from MicroStrategy. This feature is similar to what we see in web pages particularly stock related web sites.  MicroStrategy introduced HyperCards, a new object that is built, managed, and deployed using MicroStrategy Workstation(Not by using Developer or Desktop as far as I know). Cards can be consumed in a web browser via the MicroStrategy HyperIntelligence Chrome extension and on iOS devices via the MicroStrategy HyperMobile app. This feature can help the users to inject Zero-Click Intelligence (as it requires the users to hover only and no need to click!) about customers, products, people, and more directly onto words within websites or web application or emails. This feature can display the conte...

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:...

Microstrategy "Error type: Odbc error. Odbc operation attempted

 "Error type: Odbc error. Odbc operation attempted: SQLExecDirect. [HYT00:0: on SQLHANDLE] [MicroStrategy][ODBC Oracle Wire Protocol driver]Timeout expired" is shown when executing reports from Web When users are trying to execute some reports in MicroStrategy web in particular, they may receive the Error “SQL Generation Complete Index out of range” and “Timeout expired” error as shown below: Possible Causes: One possible cause is that the MicroStrategy Intelligence Server using a cached database connection that was already dropped by the RDBMS. To resolve this: Admin should delete the database connection caches and create a new DSNs in case they are sharing DSNs to connect to different databases. In addition, change the settings for the ‘Connection lifetime’ and the ‘Connection idle time out’.  Follow the steps below to perform the mentioned changes and verify the report after each step and some of the settings require i-server r...

Prompt-in-prompt(Nested Prompts) in Microstrategy

Prompt-in-prompt(Nested Prompts) in  Microstrategy Nested prompts allows you to create one prompt based on the other and other bases on another, nested prompts allows us to prompt the highest level(Like year) to middle level(like Quarter, then to the low level(like Month). Here you can see how to  create a 3-level deep nested prompt that will prompt the user to select a year, then a quarter within that year, then a month within that quarter. Prompt-in-prompt is a feature in which the answer to one prompt is used to define another prompt. This feature is only implemented for element list prompts . The following procedure describes how to achieve this: Create the highest level filter. This is a filter which contains a prompt on an attribute element list. Create a filter on the attribute "Year." Click "prompt on attribute element list" and click "Next" through the rest of the screens to accept the default values. Do not set any additio...