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Key Sessions

Eric Berlow

KEYNOTE: To be Delivered by Eric Berlow, Data Ecologist and Co-founder at Vibrant Data Inc

Vibrant Data Inc.

Dr. John Johnson

KEYNOTE: In Working With Data, Communication Is Key

Everydata

9:00am 9:15am (15 mins)

Main agenda

Welcome

9:15am 10:00am (45 mins)

Main agenda

KEYNOTE: To be Delivered by Eric Berlow, Data Ecologist and Co-founder at Vibrant Data Inc

Session details soon to come

  • Eric Berlow - Data Ecologist and co-founder, Vibrant Data Inc.

10:00am 10:15am (15 mins)

Main agenda

Morning Networking Break

10:15am 11:45am (90 mins)

Main agenda

Get Involved: Workshop

If you would like to speak during this session please contact Morgan Johnson at Morgan.Johnson@KNect365.com or 212-661-2019 for more details.

10:15am 11:45am (90 mins)

Main agenda

Using Human Data and Insights to Transform CX and Personalization

In this interactive workshop, you will learn first-hard the VoC research findings that show how Millennials have unprecedented expectations about personalizing their experiences with brands via detailed and explicit preferences at 7 critical points in the customer lifecycle. You will also discover powerful new findings regarding the need for marketers to rethink their data strategies and evolve to explicit preference data. The evolution from implicit information to explicit preference-driven data has huge implications for marketers. Hear how Shinola’s journey in using data to deepen customer relationships through strategies such as; anticipatory responses to decreasing engagement [visits, responsiveness or purchases], immediate response to negative experiences, surprise and delight thank-you's and value-added cross selling.

  • Ernan Roman - Author, "Voice of the Customer Marketing"
  • Chris Hull - Chief Merchandising Officer, Shinola

10:15am 12:15pm (120 mins)

Main agenda

Prescriptive Analytics: A Hands-On Approach to Getting Actionable Insight From your Data

Need to know the best course of action for your company? You need prescriptive analytics, an approach to analysis that mines data for actionable insights and helps you improve your company’s reach and ROI. Prescriptive analytics is more than predictive modeling; it gives valuable conditional outcomes and cause-and-effect insight. In this workshop, we’ll explore the logic of prescriptive analytics and use Excel and R to conduct simple “what-if” simulations, cross-lagged designs, optimization models, and robust quasi-experimental analyses. You’ll leave with a collection of tools that will help you intelligently choose the best path to find new value for your company.

  • Barton Poulson - Associate Professor, Psychology, Utah Valley University

11:45am 1:00pm (75 mins)

Main agenda

Lunch

1:00pm 3:00pm (120 mins)

Main agenda

Get Involved: Workshop

If you would like to speak during this session please contact Morgan Johnson at Morgan.Johnson@KNect365.com or 212-661-2019 for more details.

1:00pm 2:30pm (90 mins)

Main agenda

Machine Learning: To Drive Revenue & Increase Market Share

The race is on to gain strategic and proprietary insights into changes in customer preferences before your competitors. This workshop will cover how and why machine learning is the tool for marketers to drive revenue and increase market share. The adoption of machine learning does not happen overnight. We will discuss the Five Es of machine learning maturity – Educating, Exploring, Engaging, Executing and Expanding. Hear real-world examples of using machine learning to accelerate revenue, identify new customers and introduce new products based on machine learning capabilities.

  • David Frigeri - Practice Area Lead, Advanced Analytics and Visualization, Slalom Consulting

1:00pm 3:00pm (120 mins)

Main agenda

Workshop Title TBA

Speaker and session info soon to come.

3:00pm 3:30pm (30 mins)

Main agenda

Energy Break

3:30pm 4:15pm (45 mins)

Main agenda

KEYNOTE: In Working With Data, Communication Is Key

Data-driven decisions can be powerful. However, data analysis conducted in isolation risks critically undermining any business application. Building a successful data-driven culture requires recognizing that working with data is a team activity, relying on many parties to collect, assess, analyze, validate, and review information. Being a team exercise, effective use of data requires bi-directional communication across all business levels from the technical analyst to the requirements generating executive. Implementing this team approach ensures that data is used appropriately, requirements drive model section, and statistical results are reliable. A successful data-culture is a thoughtful one in which each member plays a key role.

  • Dr. John Johnson - Co-author, Everydata

4:15pm 4:30pm (15 mins)

Main agenda

Closing Remarks

4:30pm 5:30pm (60 mins)

Main agenda

Networking Reception