5 Keys to Asking Better Questions of Data Scientists
Some enterprises struggle to drive business value from data science efforts because the business and data scientists are not communicating or collaborating well. Here are five things you can do to improve the cross-functional relationships and ROI.
2 of 6
Ask questions based on your own experience
Some business leaders make the mistake of trying to talk to data scientists in technical terms that they don’t really understand. Perhaps they read something in a popular magazine or newspaper about the importance of models and algorithms and how other businesses use them to compete more effectively. Rather than stepping outside your area of expertise, bring the value of your experience to the conversation.
"I would ask questions that align your experience. Does this make sense in terms of what you know?" said David Goldberg, VP of Data Analytics at Prudential Financial. "Typically, a data scientist is coming into a question or a process that's been around something. We have a hypothesis. I would come back to the hypotheses. Is the data bearing out what I've intuited or experienced? That helps data scientists know what they're looking for in the data, what variables to create and that their models have logic in real-world rootedness as well."
Lisa Morgan is a freelance writer who covers big data and BI for InformationWeek. She has contributed articles, reports, and other types of content to various publications and sites ranging from SD Times to the Economist Intelligent Unit. Frequent areas of coverage include ... View Full Bio
We welcome your comments on this topic on our social media channels, or [contact us directly] with questions about the site.