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Everybody has heard of Big Data, and its promise as the next great frontier for innovation. However, Big Data is neither new nor easily defined. What are the key drivers that make Big Data so ...
Everybody has heard of Big Data, and its promise as the next great frontier for innovation. However, Big Data is neither new nor easily defined. What are the key drivers that make Big Data so critically important today? What is the single idea behind Big Data that promises such game changing outcomes for capable organizations? Who are the skilled talent that deliver Big Data results?
This presentation briefly reviews the opportunities, motivation and trends that are driving Big Data disruption. Data science is introduced as the enabling engine for Big Data transformation via the creation of new Data Products. The data scientist is defined and his tools, workflow and challenges are reviewed. Finally, practical tips are presented for approaching data product development.
Key takeaways include:
- Big Data disruption is driven by four megatrends
- Data is the essential raw material for creating valuable Data Products
- Data scientists are heterogeneous by role & skill set, but share common tools, workflows and challenges
- Data science talent is more important than raw data for Big Data success
These slides are modified from an invited presentation for the Gwinnett Chamber of Commerce on March 18, 2014. An excerpt was presented at the Georgia Pacific Social Media Working Session on March 19, 2014.