In the world of big data, analytical sandboxes have been there since the beginning, letting analysts pour in data and perform various modeling and other analytical tasks. These sandboxes have been installed at many organizations, including financial services institutions, where they are frequently used as an accelerator to perform data research and development frequently containing sensitive information and strategies.

As these sandboxes have grown in popularity, the opportunity they present needs to be balanced with some responsible boundaries. It’s a situation that, in many ways mirrors the popularity and decline of businesses using Microsoft Access in the 1990s.

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