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Building an Effective Data Team

Building an Effective Data Team

Enterprises are throwing resources at data science programs in pursuit of promising new use cases.

Yet enterprise data teams struggle to return value. Few models make it to production, and those that do often fail to scale.

IT leaders cannot ensure value simply by increasing investment in headcount and technology.

Instead, they should focus on establishing team structure and managerial alignment to make their data teams effective.

Lead Research Analyst – Data Intelligence

With a background in data analytics, financial planning and analysis, and economics, Joe Granick has focused on optimized decision making by leveraging statistics, mathematics, and machine learning.

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