Data science and analytics methods must balance innovation, value

Creating an effective data science and analytics program is a delicate — and difficult — process for many organizations. Data science teams have to balance doing cutting-edge analytics that uncovers information hidden in data sets, with making sure that information is relevant and valuable to business users.

That’s the topic of this edition of the Talking Data podcast. At the 2017 TDWI Leadership Summit in Las Vegas, data scientists from Cisco and LinkedIn gave presentations on how their data science processes have evolved to better match analytics applications to business needs.

Author: Tréa Lavery


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