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Five Hurdles Impacting Data Science Teams’ Collaboration and Efficiency

There is an interesting theme mentioned by the leaders of data science and advanced analytics groups: All are focused on how to make their team as productive as possible. The resources for these teams are notoriously hard to find.  So, naturally, team leaders want to ensure that these scarce, highly-skilled workers have everything they need to be efficient. Here are the most common pitfalls we hear about. Do you agree?

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Cazena Data Science Sandbox: Bridging the Self-Serve Analytics Chasm

Over the past few years, I have observed a deepening organizational divide in large data-driven companies. On one hand, IT and data owners have their hands full managing their current data infrastructure and platforms.

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Meditations on our Data Science Sandbox as a Service

Japanese rock gardens, or zen gardens, were first constructed centuries ago at temples as aids to meditation. Also called “dry landscapes,” zen gardens are designed as miniature models of natural landscapes. This practice of artfully modeling the world in miniature seemed like a beautiful analogy to launch our new Data Science Sandbox as a Service…

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The CIO in the cloud age

Manjit Singh, Clorox CIO