ABSTRACT
People have seen huge progress in predictive analytics in the start of the 21st century, with several examples capturing headlines. As far back as 2006, Netflix launched a $1 million competition to create a better algorithm for its movie recommendation engine. In 2012, Target was able to correctly guess that a teenage girl was pregnant before her father had a clue – simply by analyzing her shopping habits. In day-to-day business, however, there have been serious hurdles to making predictive analytics work well in most enterprise environments. Predictive analytics skills are in high demand in more than two thirds of organizations. As part of predictive analytics, business intelligence is evolving. Business intelligence tools help users answer business questions and measure and monitor business performance at every level of the organization against clearly stated goals and objectives. A single platform enables organizations to roll out business intelligence tools to a greater cross-section of employees.
