{"id":1199,"date":"2016-07-13T12:51:46","date_gmt":"2016-07-13T10:51:46","guid":{"rendered":"http:\/\/en.advancedfleetmanagementconsulting.com\/?p=1199"},"modified":"2016-07-13T12:51:46","modified_gmt":"2016-07-13T10:51:46","slug":"1199","status":"publish","type":"post","link":"https:\/\/advancedfleetmanagementconsulting.com\/eng\/2016\/07\/13\/1199\/","title":{"rendered":"Top Challenges for Big Data in the Supply Chain Management Process"},"content":{"rendered":"

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The information revolution is giving us a range\u00a0of logistics management solutions<\/a><\/strong><\/span>, with massive amounts of data collected by the industry available, but hardly analyzed.\u00a0<\/strong>One big mistake is to speak in generic terms about Big Data for any industry, instead of looking at its specific applications, for instance i<\/strong>n designing and managing the supply chain<\/strong>.<\/p>\n

We’ve spoken about how the\u00a0Internet of Things (IoT) can improve your supply chain<\/strong><\/span>.<\/a>\u201cBig data\u201d itself is a bulk of information with no value unless it’s properly handled. However, its density can overwhelm conventional optimization software. Weather reports, traffic updates, news information, national statistics, fuel price fluctuations have no use unless they are correctly analyzed.<\/p>\n

Good fleet management systems<\/a><\/strong><\/span> and expertise can transform an otherwise inconclusive mass amount of information into trends and indicators which can help in decision making, both in a strategic planning and day-to-day issues.<\/p>\n

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According to Louis Columbus, contributor to\u00a0Forbes Magazine<\/a><\/strong><\/span> \u201cBig data is providing supplier networks with greater data accuracy, clarity, and insights, leading to more contextual intelligence shared across supply chains<\/a><\/strong><\/span>.\u201d<\/p>\n

Ernesto Goycoolea<\/a><\/strong><\/span>, Chief Operating Officer\u00a0for\u00a0Drivin, has extensive experience in Latin American route optimization<\/a><\/strong><\/span>. “The use of traffic data obtained from different sources is key to good fleet planning, as it allows us to reduce the number of vehicles used, and alert customers an accurate time of delivery”, he asserts.<\/p>\n

A 2014 Accenture Global Operations Megatrends Study<\/a> <\/strong><\/span>reveals that although many companies have high expectations for big data analytics in their supply chain, 97% of its executives have difficulty in its adoption. Only 17% of them report implementing it in one or more functions.<\/p>\n

The report suggests that big data and advanced analytics are being integrated successfully as logistics management solutions such as:<\/p>\n