In each case, Google Analytics answered her with the relevant data after just a few seconds.
But a more generous and analytic answer might point to a very old philosophical/theological tradition in which he enrolls himself, perhaps unwittingly.
Companies are analyzing their employee data with workforce analytics to answer a variety of critical questions: Why does one sales person outperform his peers?
"How can we use information about an employee's current performance to predict future performance?" Human resource departments are using predictive analytics to answer this questions in a variety of industries, but not in academia, where the field of predictive analytics was born.
The highest in demand are computer scientists with advanced, extremely deep skills in machine intelligence or visual analytics, to answer how to allow computers to see and hear.
"By filtering your entire user base, you can use People Analytics to answer questions such as 'out of all our trial users, how many people activated feature X?'".
The stakes are high, but NASA realized from the get-go that it needed to focus less on developing the perfect analytic model and more on building a data science process that empowers decision-makers to use analytics to answer a multitude of continually changing questions.
Search engines are constantly tweaking based on search patterns and analytics to answer these questions.
Collins is notoriously averse to analytics, having answered a question about whether he looks at the advanced stats by saying, "No.
Bio: Gary is the Head of Machine Learning Engineering at Bloomberg, leading projects at the intersection of computational linguistics, machine learning and finance such as sentiment analysis of financial news, market impact indicators, statistical text classification, social media analytics, question answering and predictive modeling of financial markets.
