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. 

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

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

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. 

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

Data Collection at Mary Kay, Inc.

Data Security Vendor Analysis Comprehensive Package Financial Return Integration https://www.slideshare.net/ibmsecurity/winning-the-data-protection-triple-crown-are-you-up-to-the-task Scalability

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