{"id":501,"date":"2014-04-01T12:20:06","date_gmt":"2014-04-01T16:20:06","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=501"},"modified":"2016-10-04T13:14:57","modified_gmt":"2016-10-04T17:14:57","slug":"big-data-shows-dunkin-the-difference-between-coffee-and-donuts","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/big-data-shows-dunkin-the-difference-between-coffee-and-donuts\/","title":{"rendered":"Big Data Shows Dunkin’ the Difference Between Coffee and Donuts"},"content":{"rendered":"

\"Dunkin<\/a>A really nice article by Ellis Booker at Data-Informed.com<\/a> on the keynote speech by the President of Global Marketing at Dunkin Brands to kick-off the 2nd Annual Big Data Retail Forum in Chicago this week.<\/p>\n

\u201cBig data is not a strategy by itself. Big data should supplement judgment, not replace it,\u201d Mr. Costello, told attendees in his speech on the opening day of the conference.<\/p>\n

In the article, Mr. Booker captures the rival strengths and weakness of using big data to perform business analytics.<\/p>\n

“For example, the company\u2019s current understanding of its brand, which Costello described as mixture of ‘irreverence and authenticity,’ wasn\u2019t established by a data study. Rather, this insight was provided, largely, by deep interviews with customer groups, as well as input from the company\u2019s 17,000 worldwide franchisees in 30 countries.”<\/p>\n

“On the other hand, in the past few years, an analysis of point of sale and social media data revealed a truth: While \u201cdonuts\u201d is part of its name, it wasn\u2019t the core of Dunkin\u2019 Donuts\u2019 business or the basis of future growth.”<\/p>\n

Some interesting highlights from the article:<\/p>\n