Committees | Events & Webinars | Analytics & Data Science | ANA

Analytics & Data Science

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WELCOME & INTRODUCTIONS (10:30am-11:00am) 
Tina Jordan, Senior Director, ANA

I. Transforming Pernod’s Performance through Advanced Analytics (11:00am - 11:45am)
In 2020, Pernod Ricard wanted to create a performance-driven culture while digitizing its business and maintaining its strong culture of conviviality. This presentation will share the journey and wins worth celebrating in three short years.

  • From siloed datasets with partial business view to scaled holistic business understanding and insights
  • From inconsistent measurement to metrics that matter for business effectiveness
  • From ad-hoc reporting to machine learning insights with step-change in A&P optimizations

Karen Chisholm, Director, Analytics Transformation, and
Xavier Sanchez de Carmona, Director BI, Pernod Ricard


II. The Power of Brand Marketing: Driving Performance through Audience Segmentation (11:45am - 12:30pm)
Today’s CMOs know that it’s not enough to just have a good product or service. Companies need to build a strong brand proposition and communicate it effectively to the right audience. But does brand messaging really drive performance? Join Ananda Jaakson, Senior Director, TransUnion (Neustar) to learn how we worked with the MMA and Ally Bank to prove that brand marketing can in fact drive growth for the business.

Ananda Jaakson, Senior Director Consulting Services, TransUnion

III. Demystifying Data Clean Rooms Through Practical Application and Common Definition (12:30pm - 1:15pm)

Data Clean Rooms are quickly becoming a must-have solution for the sustainability and sanctity of data-driven advertising. But with any new technology, there are many questions that need to be answered to clearly define what a data clean room is, what they do, and how they operate, as well as what data clean rooms are not. The ANA is working to provide the necessary clarity to answer these questions and provide guidance for our members so they can make the best-informed decision on how to evaluate, invest, and implement the data clean room solution that is best for their business. 

Please join the discussion to understand:

  • How Data Clean Rooms keep customer data safe using privacy-enhancing technology
  • How to select the right data clean room based on your business requirements and resources
  • How to stand up a Data Clean Room and connect it to your current technology stack

Devon DeBlasio, Global VP, Product Marketing, InfoSum


IV. Product Innovation Using Data Science in Ad Tech (1:15pm - 2:00pm)
The marketing world is changing quickly, with new user and ad tech platforms, targeting approaches and measurement capabilities emerging every day.  Marketers require that their agencies and publisher partners optimally define their best prospective customers-often with modeling as a key enabler – and activate on these audiences using new addressable and programmatic technology. This session will review real world examples of success proof-of-concepts and the channels/approaches used to tackle data investigation, experiment with various modeled approaches and move products to [production.  It will also explore the key concepts of innovation and how they can be applied in the data science world, geared to the specific challenges for marketers today.

Chris Whitely, Senior Director of Product Management (Data Science), Comcast / Freewheel

Wrap up and Adjourn (2:00pm)