Coca Cola is a well known brand for soft drinks but is also taking advantage of big data. As one of the largest companies in the world it has increasingly access to a large lvariety and huge volumes of data and needs to effectively mine that data in a very fast way. Understanding the customers with respect to trends in liking certain soft drinks as well as considering world-wide health issues such as those related to sugar are examples of the key importance of analytics. One of the most important reports in the company is the daily sales report based on numerous data sources world-wide. In previous years human inputs have been required that introduced manual time consuming work and human error. Today the reports are created automatically.
Coca Cola uses Tableau as Business intelligence solution that performs data mining and analytics. Based on this technology it moved from manual to automatic reporting and increased its quality assurance process efficiency. It enables actionable analysis and recommendations that are actively used on a daily basis in the company to make better business decisions. That is underlined by the fact that the data analytics results are put into three different categories of users. Firstly, the strategy and direction category, the coach and develop category, and thirdly the execute and deliver category. This categorization is a very good example of how different levels in an organization need data about customers and product sales. There is an interesting article here that describes more details about big companies and their big data approaches.
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