BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -data cube. A collection of data that contains numeric facts called measures, which are categorized by dimensions, such as time and geography. data mining. A BI analytics tool used to explore large amounts of data for hidden patterns to predict future trends and behaviors for use in decision making.

Detailed explanation-2: -The OLAP Cube consists of numeric facts called measures which are categorized by dimensions. OLAP Cube is also called the hypercube.

Detailed explanation-3: -Typically, the fact measure in a data cube for a chain retail business is the revenue (such as the $900 revenue from jeans purchases in Indiana during the second quarter).

Detailed explanation-4: -In OLAP data cubes, you would likely find numeric measures categorized by time and geography. During drill-down, you go from high-level summary data to detailed levels of data. Data mining is used to explore large amounts of data, looking for hidden patterns that can be used to predict future trends and behaviors.

Detailed explanation-5: -Online Analytical Processing: Method used to analyze multidimensional data from many different perspectives (enables users to identify issues and opportunities and perform trend analysis). Example: data cube.