Session ID: 
BG2

Getting Started: Modeling the Structure and Operations of Big Data

10:00am - 11:00am Monday, February 11
Orlando - Orange County Convention Center
W207C
Extra Fee

Description

Going back to fundamentals, this session provides a technical overview of big data structure, including introductions to big data components and best practices to build usable data structures. This presentation also reviews information distribution methods such as data visualization and business intelligence, and shows how to deliver actionable information to help your organization use big data for maximum impact.
This session is part of a special program called Big Data Symposium: Insights and Actions to Reshape the Healthcare Environment. Extra fees and separate registration is required.

Learning Objectives: 

  • Describe big data storage, frameworks and other critical aspects of usable healthcare data structures
  • Explore uses of healthcare structured/unstructured data and metadata
  • Discuss transforming legacy data into trusted and actionable data structures
  • Assess data analytics, data visualization and business intelligence and their roles in big data

Speaker(s): 

Associate Partner & Senior Expert,
McKinsey & Company
Associate Partner, Director of Product & Technology,
McKinsey & Co.
Continuing Education Credits: 
ACPE
1.00
CAHIMS
1.00
CME
1.00
CNE
1.00
CPHIMS
1.00

Audience: 

CIO, CTO
Data Scientist
Information Management Professional