Analytics & Data Science

when

Start: Wednesday, October 30, 2019 at 9:00am

End: Wednesday, October 30, 2019 at 2:30pm

WHERE

ANA Headquarters
155 E 44th Street
8th Floor
New York, NY 10017

Registration Pricing

Client-Side Tier Platinum Tier Gold Tier Silver Tier Individual Nonmember
Registration
Attend In-Person Client-Side Tier $0 Platinum Tier $0 Gold Tier $0 Silver Tier $0 Individual N/A Nonmember N/A
Attend via Webinar Client-Side Tier $0 Platinum Tier $0 Gold Tier $0 Silver Tier $0 Individual N/A Nonmember N/A
Will Not Attend Client-Side Tier $0 Platinum Tier $0 Gold Tier $0 Silver Tier $0 Individual N/A Nonmember N/A


NETWORKING BREAKFAST (9:00 – 9:45AM)
INTRODUCTIONS (9:45 – 10:00AM)

I. The Translator Role - Who's on First? (10:00-10:45AM)
Trends in data science and the analytics job market and what employers are looking for will be presented from various points of view. 

Speaker:
Zach Hudson, VP Solutions, AnalyticsIQ


II. How Bots that Cause Ad Fraud Also Mess Up Analytics (11:00-11:50AM)
Challenge assumptions and misconceptions about ad fraud and how widespread it is. Learn how ad fraud is skewing your analytics and corrupting your ROI measurements. See the best practices that have worked for advertisers and publishers. Take specific action to detect fraud impacting your campaigns and mitigate it.

Speaker:
Dr. Augustine Fou, Independent Researcher & Ad Fraud Historian



LUNCH  
(11:50AM-12:40PM)

 

III. Data Visualization Using Tableau, Shiny, Plotly and Qliksense (12:40-1:30PM)
How to use these popular packages to produce clear, easy to understand data representations of complex advanced analytics for senior marketing leadership interpretation. Tips to be shared to help guide your presentations.  

Speaker:
John Friedmann, Manager, Deloitte


IV. MEMBER ROUNDTABLE DISCUSSION (1:30-2:30PM)
This is your time! Engage your fellow committee members in open discussion around evolving issues and current challenges in marketing analytics. Get guidance for your pain points. Share your thoughts on trends and hot topics in ML, AI, and more! This is a great opportunity to learn from your peers.

Moderators:
Dr. Devyani Sadh, Ph.D., CEO & Chief Data Officer, Data Square
Tina Jordan, Director, ANA 
Lisa Merizio Smith
, DMA Committees, ANA 

Webinar information, if available, will be provided to registrants only.