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Showing posts from November, 2018

Derived metric based on attribute values

Derived metric based on attribute values Here is how could create and display data correctly on using below simple steps.  Create a report with Category, Subcategory and Revenue. Create New Metric in a report or VI.  Case((Category@ID = 1), Revenue, 0) Booksand Name it as Revenue for  where 2 is Category ID for "Books"  Report will display result as below.  Result for new metric is blank. Now to fix this create a new Derived metric on Category attribute first with formula as  Max(Category) {~ }  and calling Books Now Edit the "Revenue for Books metric and Replace Category@ID with this new Books metric formula would looks like this  Case((Books = 1), Revenue, 0).  Report result would now display as expected as shown below

RunningSum calculation only on the metric subtotal in MicroStrategy

RunningSum calculation only on the metric subtotal in MicroStrategy Here are the series of steps to setup report objects in which metrics and subtotals so only the  subtotal field  will contain the  RunningSum  and the  regular metric values  will be  standard sum values . 1) Create Metric 1 which is the sum of the fact that is to be in the columns. 2) Create Metric2 as the RunningSum of Metric1.  NOTE:  The  sortby  parameter for the RunningSum should be set to whichever attribute you want the report sorted by. 3) Create Metric3 as Metric1 + (Metric2 x 0) 4) Create a new subtotal called "Max" which is defined as Max() 5) On the Subtotals/Aggregation tab for Metric 3, set the Total subtotal function to be "Max" and select the check box for "Allow Smart Metric" 6) Create the desired report and place the 3 metrics on the report.  NOTE:  Only Metric3 is required on the grid as it is the final metric which

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 your connection object and the ID for the cube or report that you are fetching. You can get the ID by navigating to the cube or report within MicroStrategy Web, right-clicki