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– Data Extraction and Warehousing

.....where no spend analysis has gone before

Star Trek, created by Gene Roddenberry, has inspired countless people and changed the way we interact with the world. Mobile phones, GPS systems, even online translators can all be traced to his iconic concept of an utopian technological future.


Star Trek is perhaps the most influential science fiction TV series in history, but its cultural influence goes far beyond - phrases like "Beam me up, Scotty" and "Resistance is futile"  are commonly used and words from the show (such as "Klingon") have been added to the Oxford English Dictionary. Many scientists and engineers acknowledge that their professional and life choices were influenced by Star Trek (Martin Cooper, the inventor of the first non-vehicular cell phone was motivated to develop it from watching use of a communicator on Star Trek) and our Software R&D team is no different!


The modules of MySpendNet™ is MyBiz's homage to "... boldly go where no man has gone before"


MyDataCube™ – Data Extraction and Warehousing

MyDataCube™ is inspired by the Borg Cube. In the Star Trek fictional universe, assimilation is the process by which the Borg integrates beings and cultures into their collective – which is similar to MyDataCube™ objectives – it extracts and collects the data from legacy ERP and host systems for classification and analysis using MyDataConn™.


When we try to extract information from a stack of data, we need tools to help us find what's relevant and what's important and to explore different scenarios. A report, whether printed on paper or viewed on-screen, is at best a two-dimensional representation of data, a table using columns and rows. That's sufficient when we have only two factors to consider, but in the real world we need more powerful tools.


Data cubes are multidimensional extensions of 2-D tables, just as in geometry a cube is a three-dimensional extension of a square. The word cube brings to mind a 3-D object, and we can think of a 3-D data cube as being a set of similarly structured 2-D tables stacked on top of one another.

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