RESEARCH & RESOURCES

December 6th, 2016: “Next Best Action - A Data Driven Approach”

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ATTENTION ALL BI/DW AND ANALYTICS PROFESSIONALS
Dear NYC Tri-State BI/DW and Analytics Professionals,
We cordially invite you to attend our upcoming TDWI NYC Tri-State Chapter meeting on                       December 6th, 2016. Come meet other local professionals, swap business cards, share ideas, and exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Our speakers will be DW/BI end-users reporting on their success and lessons learned implementing various BI tools or projects. Please see our detailed meeting agenda below.

When:

Tuesday, December 6th, 2016, 9:00am

Where:

 

 

Information Builders
Two Penn Plaza
New York, NY 10121-2898

Topic:

“Next Best Action - A Data Driven Approach”

DON'T MISS THIS EVENT! Please RSVP below
Click here to register for the next upcoming event

Agenda:

8:30am

Registration, Light Breakfast & Peer Networking

9:00

Call to Order & Introductions

9:15 – 10:15

1.         Next Best Action Overview
2.         4-Step Framework
3.         Machine Learning under the hood

 

Abstract
Despite all the hype surrounding customer centricity, many marketing organizations still rely on product-centric customer interactions.  The ‘Next Best Action’ (NBA) model is an innovative approach to managing marketing programs.  It incorporates advancements in machine learning and big data technologies to make every interaction with the customer individually centric.  It has been described as a single, continuous marketing campaign, enabling the right message at the right time, using the right channel to select the optimal option - one decision at a time.
The NBA model analyzes all inbound and outbound interactions with the customer across all channels, and augments the analysis using business rules.  The next best action recommendation is personalized to each customer based on their unique interactions.  Intended key benefits are:

  • Personalized real-time recommendation
  • Consistency and avoidance of channel conflicts
  • Cost alignment
  • Optimization of customer interaction

10:15– 10:45

Networking Break

10:45 – 11:45

  • Reference Architecture
  • Decision Hub
  • Real-World Case Study

11:45 - Noon

Conclusion

DON'T MISS THIS EVENT! Please RSVP below
Click here to register for the next upcoming event

 

Space is limited so sign up early!

For more information about TDWI Membership, contact chapters@tdwi.org.
To contact a Chapter officer, click on name of the officer located on the top right hand column of this page.

YOU WILL LEARN TO:

  • Describe a data-driven approach to customer centricity
  • Build your product recommendation engine to understand the preferences and intent of each visitor
  • Show the most relevant recommendation type, products and actions in real time – creating the meaningful experience on connected touch points

Bios of Presenters

Chris Blotto
Chris Blotto is the Chief Informationist, CIO and leads the development of customer facing operational and technical solutions for Knowledgent. In addition, he heads up strategy for business value realization through information.
Chris has over 20 years of experience in the Information Technology field, specializing in information management, big data, enterprise architecture, organizational change management, and IT leadership. He has been successful both in industry and as a consultant, and brings a unique perspective of both business and technical solutions across multiple industries with a primary focus in the pharmaceutical, financial services and telecom areas.
An expert on Big Data, Advanced Analytics, Master Data Management, and Governance, Mr. Blotto is frequently requested to share his experiences at key events and conferences.
Ari Yacobi
Ari Yacobi is the Chief Data Scientist and head of the data science and advanced analytics practice at Knowledgent. 
Ari currently leads large-scale data analysis and science projects in environments demanding diverse data sources.  He is a Real-World Evidence (RWE) Data Scientist & Advisor to large pharmaceutical and health insurance companies.
Prior to Knowledgent, he was Lead Data Scientist and CTO at Serendio, where he led development of Data Management and Analytics products to accelerate Data Science adoption in Enterprises. He was also CTO of ProfitPoint, a Loyalty Platform As A Service, leading the company-wide Data Strategy, Product Development and Corporate initiatives that led to a successful exit and headed the Product Development, Mobile and Commerce initiatives and IP strategy at an interactive TV startup.

 

NETWORK BEFORE, DURING & AFTER THE EVENT:

  • Website: http://tdwichapters.org/newyork
  • Twitter: @TDWINYC   |   Event Hashtag: #TDWINYC
  • LinkedIn Group: TDWI NYC Tri-State Area Chapter

 

We look forward to seeing you!

Jon M. Deutsch
President, TDWI NYC Tri-State Chapter

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