Data science is a powerful tool for business. With a number of practical uses and successful use cases in companies from Amazon to P&G, it’s hard deny the impact of data science methodologies on the bottom line. 20 years ago, that would have led to a long run as a dominant toolset with adoption slowly
Imagine someone who has five errands to run on a nice little Saturday. Five tasks means there are 120 different ways to sequence and complete those tasks, once you factor out the numbers. Now think of a...
One of most effective risk management philosophies is to work smarter, not harder, implementing holistic tools, such as predictive analytics to ensure it is minimized. More often than not, companies implement blanketed management programs, applying the same...
Hit on 16 and stay on 17—that’s the extent of blackjack strategy for many players. But even basic strategies of the game say there are times when hitting on 18 is the smartest play—such as when the...
Analytics is a hot topic in sports today. Pro teams and leagues are on the look out for new ways to use analytics for a plethora of decision making instances — from improving the fan experience and...
Give a marketer a sale, and you’ll keep his company afloat for a day; teach him to predict future sales, and you may just ensure his longevity. That, in essence, is the premise behind predictive marketing, a...
Whether you are hiring analytics professionals, customer service representatives, and retail or outside sales consultants, one proven variable is always watching your hiring decisions: One bad hire will wipe out the value of three great ones and...
In insideBIGDATA‘s special guest feature, Jeff Catlin of Lexalytics lays out the case for text analytics and its importance to the rising interest in big data. Jeff is CEO of Lexalytics, a company providing sentiment and intent...
The same data can yield wildly different results. Here are some of the reasons for these fascinating, frustrating, or even dangerous discrepancies. Same Data, Different Quality Businesses often have a glut of redundant data stored in multiple...
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Top 5 Data Science Masters Programs
By: Sudhanshu Ahuja, CEO, Ideatory
Originally published at http://smartdatacollective.com
Which top Masters Courses should you consider for a great career in data-science? A frequently cited study by McKinsey predicts that by 2018, the United States could face a shortage of 140,000 to 190,000 “people with deep...