Greeshma Malgireddy

Business Intelligence (BI) systems facilitate the analysis of volumes of complex data by providing the ability to view data from multiple perspectives.

An optimum business intelligence application :

Gives users access to data at various levels of detail.

Allows users to request information and have it delivered to them accurately and quickly.

The diagram above illustrates the common setup for standardizing data from source systems and transferring that data into Micro Strategy.

Source Systems for data collection

Source systems refer to any system or file that captures or holds data of interest.

A bank is an example of business with source systems. A source system is usually an online Transaction

processing (OLTP) system. These OLTP systems are the databases or mainframes that store real-time processing data.

The ETL process consolidates data so that it can be stored in a data warehouse.

The Extraction, Transformation and Loading (ETL) process involves the following steps:

1.Data is gathered from various source systems.

2.The data is transformed and prepared to be loaded into the data warehouse.

3.The data is loaded into the data warehouse.

A well designed and robust data warehouse is the source of data for the decision support system or business intelligence system.

The data warehouse provides the foundation for a robust online analytical processing (OLAP) system.

Data here is typically read-only and is rarely inserted, updated or deleted.

Metadata 1. Configuration objects 2. Schema objects, include a) Facts b) Attributes c) Hierarchies

3.Application objects Intelligence server Desktop Web and web universal Project

The above snapshots show the actual client (Micro Strategy Desktop). This is a thick client where most of the Micro strategy functionality can be managed for the Desktop. All the schema objects(attributes, facts, hierarchies etc.) must be built from this thick-client.

Based on the proper user privileges various users get different access to this interface.

The above snapshot shows a thin client (Micro Strategy Web universal) where most users will be seeing this interface. The users login through either micro strategy integrated corporate portals or directly launching the Web universal (Micro strategy deployed in a web server).

  The users in this interface can be given access

to built various run time objects like filters (used to filter a part of data), metrics(used for calculated columns like standard deviation, average etc.,) 

 

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