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Microstrategy Dossier training videos

Microstrategy Dossier training videos


 Adding data to a Dossier:


Creating a visualization filter in Dossier:

Sending Dossier to User libraries:


How to format Dossiers:


Adding a designer filter to a Dossier:


Use Bookmarks in Dossiers:


Dynamic Links in Dossier:


Recreating documents from Dossiers:



Exploring and searching in Dossiers:

Exploring sample dossiers in MSTR library:


Using Page to Page Targets in Dossiers:
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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 . ...
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Slowly Changing Dimension Types 0, 4, 5, 6 and 7

Slowly Changing Dimension Types 0, 4, 5, 6 and 7 Ralph introduced the concept of slowly changing dimension (SCD) attributes in 1996. Dimensional modelers, in conjunction with the business’s data governance representatives, must specify the data warehouse’s response to operational attribute value changes.  Core SCD approaches:  Type 1 (overwrite),  Type 2 (add a row), and  Type 3 (add a column).  Since legibility is a key component of the Kimball mantra, we sometimes wish Ralph had given these techniques more descriptive names, such as “overwrite” instead of “type 1.” But at this point, the SCD type numbers are part of our industry’s vernacular. We have written about more advanced SCD patterns, such as the 2005 article entitled “ Slowly Changing Dimensions are Not Always as Easy as 1, 2, 3. ” However, we’ve not consistently named the more advanced and hybrid techniques. With the third edition of  The Data Warehouse Toolkit  (Wiley, 201...
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The logical table size calculation in Microstrategy

The logical table size calculation 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.   MicroStrategy Engine utilizes an algorithm based on attribute keys to calculate the Logical Table Size (LTS):   Given the following tables:     The algorithm that calculates the table sizes performs the following steps: Calculate the number of levels per hierarchy: Hierarchy 1: 3 Hierarchy 2: 4 Calculate each attribute individual weight according to the level in the hierarchy (level in hierarchy/number of ...
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Internationalization Design Technics

Microstrategy Internationalization Design Technics MicroStrategy supports data internationalization through two different techniques. You can either provide translated data through the use of extra tables and columns, or you can provide separate databases to store your translated data. These techniques are described below: You can support data internationalization in your database by using separate tables and columns to store your translated data. You can use various combinations of tables and columns to support and identify the translated data in your database. To support displaying the name of each month in multiple languages, you can include the translated names in a separate column, one for each required language, within the same table. Each column can use a suffix to identify that the column contains translated data for a certain language. The same LU_MONTH_OF_YEAR table with translated data for the Spanish and German langua...
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Configure Connection Mapping in Microstrategy

Configure Connection Mapping in Microstrategy The following steps demonstrate the second scenario where two different data warehouses are used within the same project: Create two different database connections -                                                                                        One that points to the data warehouse for the European users                                                                 and the other that points to the data warehouse for USA users as shown below: Select Europe as the default database connection for the database Instance as seen below: Go to P...
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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...
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Star schemas and aggregate (or summary) fact tables Aggregate tables can further improve query performance by reducing the number of rows over which higher-level metrics must be aggregated.  However, the use of aggregate tables with dimension tables is not a valid physical modeling strategy. Whenever aggregation is performed over fact data, it is a general requirement that tables joined to the fact table must be at the same attribute level or at a higher level. If the auxiliary table is at a lower level, fact rows will be replicated prior to aggregation and this will result in inflated metric values (also known as "multiple counting"). With the above Time dimension table, a fact table at the level of Day functions correctly because there is exactly one row in DIM_TIME for each day. To aggregate the facts to the level of Quarter, it is valid to join the fact table to the dimension table and group by the quarter ID from the dimension table. Sql select DT...
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Uniquely identifying data using Compound Key in Microstrategy

Uniquely identifying data in tables with Compound Key attribute: The types of keys that can be assigned to a table include: • Simple key requires only one column to identify a record uniquely within a table. • Compound key requires multiple columns to identify a unique record. . The following diagram shows how the different key structures can be used to identify a cal...
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"Table structure cannot read or update" in the warehouse catalog error while updating a table structure in Microstrategy

"Table structure cannot read or update"  in the warehouse catalog error while updating a table structure while using Warehouse Catalog in MicroStrategy Developer  This issue could be due to the incorrect prefix.  To fix the issue. 1. Open the Warehouse Catalog. 2. Select the table and assign the correct Prefix update the structure. 3. Save and close the warehouse catalog.
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Custom formatting Microstrategy metric format into 1M 2M etc

Custom formatting metric values of 1,100,000 into a 1.1 million 1.1M type format  In addition to the the pre-defined options for metric formatting, MicroStrategy supports custom formatting. The MicroStrategy Tutorial project is used to explain how users can customize numbers from "1,000,000" to a "1.00" format. Consider a report containing row data values greater than a million, as illustrated below: To format these metric values to use a decimal (i.e., 1.1) instead of showing all the numerals, right-click on the metric (' Revenue ' , for this example) and select  Formatting > Revenue Values , as shown below: Select " Custom " as a category in the Number tab and enter ' 0,,.## ' (without quotation marks), as shown below: Confirm that the format applied properly:
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