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How to Make Data Science Workflow Efficient?

Updated: Jun 26, 2022

By 2025, smart workflows and seamless interactions among humans and machines will likely be as standard as the corporate balance sheet, and most employees will use data to optimize nearly every aspect of their work.

We know 2025 isn’t too far off, but that’s the point.

Seven characteristics will define this new data-driven enterprise, and we’ve already seen many companies exhibit at least some of them, with many more beginning the journey to do so.

Those able to make the most progress fastest stand to capture the highest value from data-supported capabilities. Companies already seeing 20 percent of their earnings before interest and taxes (EBIT) contributed by artificial intelligence (AI), for example, are far more likely to engage in data practices that underpin these characteristics.

This guide is intended to help executives understand the characteristics of the new data-driven enterprise and the capabilities they enable. It also provides resources to dive deeper on how to embed them in your organization.

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