- MicroStrategy Tutorial
- MicroStrategy - Home
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- Configuration Objects
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- MicroStrategy Basic Reporting
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- MicroStrategy - Creating Metrics
- MicroStrategy - Nested Metrics
- MicroStrategy Advanced Reporting
- Creating Derived Metrics
- MicroStrategy - Metric Comparison
- MicroStrategy - Creating Filters
- MicroStrategy - Advanced Filters
- Shortcut & Embedded Filters
- MicroStrategy - Refreshing Reports
- MicroStrategy - Intelligent Cubes
- MicroStrategy Dashboards
- Creating a Dashboard
- Formatting a Dashboard
- MicroStrategy - Graph Visualizations
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- Heat Map Visualization
- MicroStrategy - N/W Visualization
- Visualization with Multiple Datasets
- Filtering Data in Dashboard
- MicroStrategy - Adding Web Content
- MicroStrategy Office
- Conditional Formatting
- MicroStrategy - Custom Groups
- MicroStrategy - Report Cache Flow
- MicroStrategy - Data Marts
- MicroStrategy - Predictive Models
- MicroStrategy Useful Resources
- MicroStrategy - Quick Guide
- MicroStrategy - Useful Resources
- MicroStrategy - Discussion
MicroStrategy Tutorial
MicroStrategy is a Business Intelligence software, which offers a wide range of data analytics capabilities. As a suite of applications, it offers Data Discovery, Advanced Analytics, Data Visualizations, Embedded BI, and Banded Reports and Statements. It can connect to data warehouses, relational systems, flat files, web services and a host of other types of sources to pull data for analysis. Features such as highly formatted reports, ad hoc query, thresholds and alerts, and automated report distribution makes MicroStrategy an industry leader in BI software space. It is recognized as a visionary by Gartner Magic Quadrant.
Audience
This tutorial is designed for all those readers who want to create, read, write, and modify Business Intelligence Reports and dashboards using MicroStrategy Desktop. In addition, it will also be quite useful for those readers who look forward to become a Data Analyst or a Data Scientist.
Prerequisites
Before proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies and Data analysis. You should also have some knowledge on various types of graphs and charts. Familiarity with SQL will help in fast learning.