Talking' Bout a Revolution

Author: QlikTech

This paper explains why the market for Business Intelligence software is ripe for change. The challenges implementing and using traditional OLAP technology have troubled organizations for too long. People want, and deserve, analysis that everyone in an organization – not just the chosen few – can use.

In-Memory Analysis is poised to revolutionize the Business Intelligence (BI) industry as it becomes the predominate approach. The BI industry is a major focus for organizations making investments, and according to Gartner, “demand for fast queries against big datasets, coupled with lower-priced 64-bit computing will increase the use of in-memory technology.” The analyst firm expects that “by 2012, 70% of Global 1000 organizations will load detailed data into memory as the primary method to optimize BI application performance.”

When the BI space began to emerge 20 years ago, memory was expensive and processing speeds were slow. As such, entrants into the space were constrained in how they might technically approach so-called multi-dimensional analysis. Specifically, they were forced to employ a “precalculation” approach that involved the use of “cubes” to organize and store the results of these pre-calculations. While the results appeared to the user to be instantaneous, the main challenge with this so-called “on-line analytical processing” (OLAP) approach was around the time and cost associated with defining and redefining cubes.

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Talkin' Bout A Revolution

Talkin' Bout A Revolution