Current open source applications which allow for cross-platform data visualization of OLAP cubes feature issues of high overhead and inconsistency due to data oversimplification. To improve upon this issue, there is a need to cut down the number of pipelines that the data must travel between for these aggregation operations and create a single, unified application which performs efficiently without sacrificing data, and allows for ease of usability and extension.

中文翻译：

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优化Web应用程序的数据多维数据集可视化：性能和用户友好的数据聚合

当前的允许OLAP多维数据集跨平台数据可视化的开源应用程序具有高开销和由于数据过于简化而导致的不一致的问题。为了改进此问题，需要减少数据在这些聚合操作中必须经过的流水线的数量，并创建一个统一的应用程序，该应用程序在不牺牲数据的情况下可以高效执行，并且易于使用和扩展。