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With Scott Breitenother (VP Data & Analytics, Casper).
Tuesday, August 14, 2018 at 07:00 PM   Absolutely Free
General Assembly East, 902 Broadway, 4th Fl

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Cross-department collaboration is rarely talked about, although it plays a big influence on business results & data science ROI. We'll cover best practices for collaborating with practical tips applying to both technical & business profiles. Talk #1: "Guaranteed fresh: Defining a Data team's relationship with the business" Abstract: It's Saturday morning & the ETL broke. The data is stale. Do you call in the team? We have all been there, but does it have to be that way? Scott Breitenother, VP of Data & Analytics at Casper, talks about how to define your relationship with the business so there is less firefighting & more analysis / data science / exploration. Takeaways Participants will gain insights about fostering a better collaboration between data science teams & the business. Scott Breitenother is an investor & advisor who specializes in building data driven organizations. He was employee #16 at direct-to-consumer mattress startup Casper & founded the company's industry-leading Data & Analytics team. In a former life, Scott was a Management Consultant at L.E.K. Consulting (which is probably where he developed his love of frameworks & structure). He has a BS in Business Management from Babson College & a MSc in International Management from London School of Economics. When he's not blogging about analytics trends at, you can find him walking around Brooklyn with his wife & daughter. Casper is an award-winning sleep startup that launched with an outrageously comfortable mattress sold directly to consumers - eliminating commission-driven, inflated prices. The critically acclaimed sleep surface was developed in-house by a team of product engineers with experience from IDEO, has a sleek design, & is delivered right to your door in a small, how did they do that? sized box. Casper is one of the fastest growing consumer brands of all time, launching in April 2014 & earning $1M in revenue in its first 28 days.
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