Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life

Big Data and Impacts on Everyday Life
CHAPTER 19: FINANCE AND BIG DATA
How a Data Scientist Works
Understanding More Than Numbers
Applying Sentiment Analysis
Risk Evaluation and the Data Scientist
Reduced Online Lending Risk

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The Finance Industry and Real-Time Analytics
How Big Data is Beneficial to the Customer
Customer Segmentation is Good for Business
CHAPTER 20: MARKETERS PROFIT BY USING DATA SCIENCE
Reducing costs to increasing revenue
CHAPTER 21: USE OF BIG DATA BENEFITS IN MARKETING
Google Trends does all the hard work
The profile of a perfect customer
Ascertaining correct big data content
Lead scoring in predictive analysis
Geolocations are no longer an issue
Evaluating the worth of lifetime value