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Soylent Mean: Data Science is Made of People

Cameran Hetrick (VMware), Kimberly Stedman (Freelance)
Average rating: ****.
(4.60, 5 ratings)
Slides:   1-PPTX 

Combine your best algorithms and smartest data architecture, and what do you get? Without humans, you have an expensive, high tech brick. Humans generate data, which is used by and for humans to achieve human goals. If you want your data department to earn its keep by showing real value, you must build your social systems as meticulously as you build your pipeline.

As “big data” prepares to enter the “trough of disillusionment” in the Gartner hype curve, we all shoulder the burden of driving the industry forward and delivering on the promise of data, now. In this session, you will learn how to:

  • Hire for a balanced team of different types of data professionals who you can actually find.
  • Train data team members and data consumers in analytic rigor and cognitive biases.
  • Build a new organizational decision-making lifecycle, from goals, to business questions, to data analysis, to interpretation, to business strategy.
  • Lead organizations to identify and focus on metrics that truly make a difference.
  • Create data products that drive value for end-users and whole organizations.
Photo of Cameran Hetrick

Cameran Hetrick

Director, Data Analytics , VMware

Combining advanced analytics with business acumen, Cameran leads the Socialcast by VMware Data Science team. Cameran is responsible for leading all data efforts on the Socialcast product, using big data to inform and create new products as well as mining customers’ community data to help them optimize their investment. A veteran of the business intelligence community, Cameran was previously with Disney Parks and Resorts where she drove significant revenue growth through pricing and product optimization. She holds a degree in Economics/Mathematics from UC Santa Barbara and graduated at the top of her MBA class at UC Irvine.

Photo of Kimberly Stedman

Kimberly Stedman

Analytics Manager / Analyst / Writer, Freelance

I do big data, social systems, and gameplay. I like wicked problems. Everything’s people with me: cognition, culture, and the intelligence processes of the global brain.

I used to be a field anthropologist. I’ve lived in five developing countries. Lately I’ve been working in game analytics.

Right now, I’m thinking a lot about the adoption of big data, and how to make that process effective.