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HyperIntelligence  Training Videos


          Design and build hyper cards






Optimizing Datasets for HyperIntelligence






Using the HyperIntelligence for Office Outlook Add-In






Building HyperIntelligence Cards





Using HyperIntelligence for Mobile on Android





Deploying HyperIntelligence for Outlook





Insights On-The-Go: HyperIntelligence for Mobile







Building HyperIntelligence Profile Cards




Designing Custom HyperIntelligence Cards





Using the Calendar with HyperIntelligence for Mobile



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Microstrategy Custom number formatting symbols

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Case functions Microstrategy

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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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Custom formatting Microstrategy metric format into 1M 2M etc

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Slowly Changing Dimension Types 0, 4, 5, 6 and 7

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Custom Subtotal Displays in MicroStrategy

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Email Subscription in Microstrategy

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Create a transaction services photo uploader

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