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With Gordon Silvera (Sr Data Scientist, Spotify).
Thu, Aug 17, 2017 @ 06:30 PM   $10   Product School NY, 1216 Broadway,, 2nd Fl
 
   
 
 
              

    
 
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<P STYLE="font-family: Whitney, helvetica, arial, sans-serif; font-size: 16px; line-height: 22px; margin: 0px 0px 15px; padding: 0px; box-shadow: none; border: none; color: #888888;">Why does analytics matter? As "big data" & "data science" become increasingly mature practices, businesses have started to demand ROI from their investments in analytics. In fact, senior stakeholders at some companies cast doubt on the need for data science.</P>
<P STYLE="font-family: Whitney, helvetica, arial, sans-serif; font-size: 16px; line-height: 22px; margin: 0px 0px 15px; padding: 0px; box-shadow: none; border: none; color: #888888;">During this presentation, we will discuss why enterprise analytics is essential to sustained company growth. We will also discuss a framework that can guide companies towards best-in-class enterprise analytics, as well as show how Spotify has brought this framework to reality. <BR><BR>Key Takeaways:<BR>- Why winning "at the margin" is the surest way to consistently outperform competitors.<BR>- How winning "at the margin" is achieved through Disciplined culture, Consistency in strategic execution & Understanding an iterative improvement<BR>- Why high quality, scalable analytics is the only path to understanding & iterative improvement at the enterprise level.<BR>- How an Analytics Maturity framework can guide companies to effectively scale their analytics & evolve into a data-driven organization. <BR>- How Spotify has brought this framework to reality and, in doing so, has evolved into a best-in-class, data-driven company.</P>
<P STYLE="font-family: Whitney, helvetica, arial, sans-serif; font-size: 16px; line-height: 22px; margin: 0px 0px 15px; padding: 0px; box-shadow: none; border: none; color: #888888;"></P>
<P STYLE="font-family: Whitney, helvetica, arial, sans-serif; font-size: 16px; line-height: 22px; margin: 0px 0px 15px; padding: 0px; box-shadow: none; border: none; color: #888888;"><B>Meet the Speaker: Gordon Silvera</B></P>
<P STYLE="font-family: Whitney, helvetica, arial, sans-serif; font-size: 16px; line-height: 22px; margin: 0px 0px 15px; padding: 0px; box-shadow: none; border: none; color: #888888;"><IMG STYLE="text-align: center; margin: 0 auto; border-radius: 50%; display: block;" ALT="" SRC="https://docs.google.com/uc?id=0By1fH5XPkcKRNDB1LUh6cUtxOGs" WIDTH="200"></P>
<P STYLE="font-family: Whitney, helvetica, arial, sans-serif; font-size: 16px; line-height: 22px; margin: 0px 0px 15px; padding: 0px; box-shadow: none; border: none; color: #888888;">Gordon Silvera is a Senior Data Scientist on Spotify's Data SWAT squad -- a team that provides analytical support for the company's highest priority strategic initiatives. He has spent over 20,000 hours creating value from data at several prominent companies in gaming, consumer goods, retail & the technology industry.<BR><BR>Companies have started to demand ROI from their investments in big data & data science. As a "data strategist," Gordon believes there is often a chasm between producers of analytics & their strategic & operational stakeholders. This gap prevents companies from fully extracting value from their data. Gordon has developed a series of frameworks, concepts & principles that bridge this gap between data strategy & business profits.<BR><BR>Gordon majored in Economics & Sociology at Dartmouth College.</P>
<P STYLE="font-family: Whitney, helvetica, arial, sans-serif; font-size: 16px; line-height: 22px; margin: 0px 0px 15px; padding: 0px; box-shadow: none; border: none; color: #888888;"><A HREF="https://www.linkedin.com/in/gordonsilvera/" TARGET="_blank" REL="noopener nofollow noopener noreferrer nofollow noreferrer nofollow">View the Speaker's LinkedIn</A></P>
<P STYLE="font-family: Whitney, helvetica, arial, sans-serif; font-size: 16px; line-height: 22px; margin: 0px 0px 15px; padding: 0px; box-shadow: none; border: none; color: #888888;"><BR>--<BR>Please note:<BR>- Tickets sales at the door are from 6:00 - 6:30 PM (if any are still available)<BR>- No refunds unless we have fully canceled the event. Date changes are not included.<BR>- For last minute questions, send a text to: <A HREF="" TARGET="_blank" REL="noopener nofollow noopener noreferrer nofollow noreferrer nofollow">(646) 679-7377</A></P>
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