The Care and Feeding of Data Scientists

September 10, 2013

An enterprise that positions its data science and analysis talent improperly cannot derive maximum business benefit from it. An ill-advised organizational structure will create internal friction between groups. The company will spin its wheels analyzing data that doesn’t solve core business problems, and fail to provide an appealing career path to data analysis experts. The company’s more responsive competitors will be only too glad to hire these valuable data analysis professionals. How can your company avoid this fate? We will explore how to organize, engage, and retain a three-part data science team for maximum business results.

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OTHER WHITEPAPERS
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Every organization today recognizes the strategic value of generating actionable insights from their enterprise data.

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O'Reilly Data Quality Fundamentals

whitePaper | November 18, 2022

For decades, the lack of visibility into the health of our data has led to data downtime in companies around the world. When data is missing, inaccurate, or erroneous, data quality initiatives are doomed to fail, leaving enterprises at a privacy compliance and business disadvantage.

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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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MoTek Technologies

MoTek Technologies is a premiere contingency based technical recruiting firm, committed to acquiring and delivering superior candidates to a vast marketplace of companies…

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