OlapCube is a powerful software tool that creates local cube files from data stored in any relational database. With OlapCube, users can explore and analyze their data through either the OlapCube Reader or Microsoft Excel.

The OLAP cube, which consists of numeric facts called measures that are categorized by dimensions, is a data structure that enables fast analysis of data. This arrangement overcomes a limitation of relational databases which are not suitable for instantaneous analysis and display of large amounts of data. While it excels in recording transactions, report-writing tools for such databases are slow when summarizing the entire database. OLAP cubes act as extensions to the two-dimensional array of a spreadsheet, enhancing data analysis processes by various dimensions.
For instance, a company could analyze financial data by product, time-period, city, type of revenue and cost, and actual data versus a budget. Each of these additional methods of analyzing data are known as dimensions, and could be summarized using a hierarchy. A financial analyst seeking to pivot data could display cities down the page and all products across the page, as well as identify trends for a specific period, version, and type of expenditure. In turn, parent-child relationships consolidate members under parent classifications, which are aggregated by another parent. Simply put, May 2005 could be summarized into Second Quarter 2005, which would then be aggregated under the Year 2005.
Overall, OlapCube provides a valuable software solution for data analysis with its ease of use, ability to generate flexible and customized reports, and efficient handling of relational databases.
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