n today’s highly interconnected world, data is king. Organizations now have access to tremendous amounts of information about employees, customers, prospects and consumers at large. McKinsey estimates that businesses now store more than eight exabytes of data each year and this number is growing by more than 30 percent per year. Organizations around the world are investing heavily in the skills, tools and processes to make sense of all of this information. Retailers in particular have been analyzing customer transaction data for 20 years. A large national retailer, for example, studies the purchasing patterns of its customers and can actually predict within weeks when a female customer is likely to have a baby based on changes in her shopping basket. Using this information, the retailer sends advertisements for baby supplies during the latter part of the pregnancy to incent shoppers to come to its stores for baby supplies. A recent New York Times article pointed out that these analytics are so powerful that a father inadvertently received these ads and found out that his daughter was pregnant. This is the
power of analytics or “predictive analytics.” Organizations collect and access millions of data points about employees. In Figure 1, we list just a small subset of the information available about people.
n today’s highly interconnected world, data is king. Organizations now have access to tremendous amounts of information about employees, customers, prospects and consumers at large. McKinsey estimates that businesses now store more than eight exabytes of data each year and this number is growing by more than 30 percent per year. Organizations around the world are investing heavily in the skills, tools and processes to make sense of all of this information. Retailers in particular have been analyzing customer transaction data for 20 years. A large national retailer, for example, studies the purchasing patterns of its customers and can actually predict within weeks when a female customer is likely to have a baby based on changes in her shopping basket. Using this information, the retailer sends advertisements for baby supplies during the latter part of the pregnancy to incent shoppers to come to its stores for baby supplies. A recent New York Times article pointed out that these analytics are so powerful that a father inadvertently received these ads and found out that his daughter was pregnant. This is thepower of analytics or “predictive analytics.” Organizations collect and access millions of data points about employees. In Figure 1, we list just a small subset of the information available about people.
การแปล กรุณารอสักครู่..
