1. Taylor Baxter Addie Bien Anna Cozart Tri Le
Big Data & Security
Before we begin, does anyone know how much data is created everyday?
Everyday, 2.5 quintillion bytes of data are created. 

2. What is Big Data?
Pepsi
Mary Kay
Data Security Vendor Analysis

3. What Is Big Data? We all leave digital footprints
Only a small percent of the world’s data is analyzed
Helps to provide reliable insights
Relies on cutting edge analytics technology
We all leave digital footprints – when we go online, carry GPS-equipped smartphones, social media, etc. So we are all generating massive amounts of data. However, only a small percent of the world's data is analyzed, and the vast majority of that data comes to us as unstructured data. 
Big Data works on the principle that the more you know about anything or any situation, the more reliable you can gain new insights and make predictions about what will happen in the future. To do this, big data projects often use cutting edge analytics involving artificial intelligence and machine learning, so that they can learn to spot patterns much more quickly and reliably than humans. Anna will now discuss

5. Making Sense of Big Data
Talk about the 4 V's of Big Data
Pepsi relies on VOLUME  of data to accurately supply it retailers
Pepsi has internal data and retailers data- VARIETY
How do you make sense of both of these together???
Pepsi used a combo of Trifacta and Tableau to compile and make sense of the data and then analyze it with visuals etc. 

6. Making Sense of Big Data at Pepsi
Predict Trends
Answer Questions
Plan Future Demand
Save Money & Time
Best-in- Class Service
Faster Access to Information
We all leave digital footprints – when we go online, carry GPS-equipped smartphones, social media, etc. So we are all generating massive amounts of data. However, only a small percent of the world's data is analyzed, and the vast majority of that data comes to us as unstructured data. 
Big Data works on the principle that the more you know about anything or any situation, the more reliable you can gain new insights and make predictions about what will happen in the future. To do this, big data projects often use cutting edge analytics involving artificial intelligence and machine learning, so that they can learn to spot patterns much more quickly and reliably than humans. Anna will now discuss

7. Data Collection at Mary Kay, Inc.

8. Data Security Vendor Analysis
Comprehensive Package
Financial Return
Integration
Scalability

9. Big Data & Security
Before we begin, does anyone know how much data is created everyday?
Everyday, 2.5 quintillion bytes of data are created.