Day 3: Tuesday, January 23rd

7:15 AM - 8:00 AM Networking Breakfast

8:05 AM - 8:10 AM Chairperson's Opening Remarks

Plenary Session

8:15 AM - NaN:NaN AM Analytics in Action – How Data Saves Lives

Agile and facile data sharing is crucial to crisis decision-making, organizational communication, and multi-organizational coordination. Emergencies employ many resources in often novel ways, forcing the creation of new data and work streams that may not have previously existed. This can prompt unanticipated questions that the organization had never needed to systematically ask. Join us as we explore the process of mobilizing data to answer these new questions in the face of rapidly evolving circumstances, conflicting or incomplete information, and new demands.

Join this interactive session as we discuss how to achieve fully-developed analytics disciplines by:
  • Using real-time and predictive analytics capabilities for rapid decision making
  • Tackling incomplete information
  • Adjusting practices to evolving circumstances

9:05 AM - 9:35 AM Business Meetings

9:40 AM - 10:10 AM Business Meetings

Panel Discussion

10:15 AM - 11:00 AM Preparing Your Big Data Analytics for GDPR Compliance

11:05 AM - 11:35 AM Predicting Opportunities with Social Media Analytics

The current generation uses social media in any way possible, such as keeping up on the news, reviewing products or experiences, sending and receiving money, and more. Understanding trends on social media platforms can remove guesswork involved in identifying the best way to position the brands’ presence on its many social media channels? In this session, hear use cases of different predictive social media tools discuss the opportunities in drawing from enormous stores of data.

In this session hear best practices to:
  • Identify which attributes of the product’s behavior are relevant
  • Represent raw data in a way that’s actionable
  • Turn large amounts of data into an algorithm
  • Understand how users behave and brainstorm where new technologies could be worked in
  • Optimize each department's own social resources and take advantage those in other departments
  • Recognize new opportunities in old data
  • Distinguish data-informed and completely data-driven for large-scale user adoption
  • Identify the entire set of users who might be using the tool

11:40 AM - 12:10 PM Business Meetings

12:10 PM - 12:15 PM Chairperson's Closing Remarks

12:15 PM - 12:20 PM End of Exchange