SUPPLY CHAIN
60 business if the data that exists is not credible , as this could lead to incorrect predictions ,” adds Millard . “ It is also important that business leaders import the right expertise . Sometimes , they fail to do this and either get a data scientist who doesn ’ t understand the business context or an industry expert who knows nothing about data science . Getting Big Data and analytics to deliver value is a multi-disciplinary activity .” Ultimately , Millard stresses that “ for organisations considering investment in Big Data and analytics to improve their supply chain management , they need to understand that there is no one-size-fits-all . If these factors are not fully considered at the outset , any investment could deliver negligible value .”
Contemplating the future of Big Data and analytics within supply chains , Baumann speaks of the potential of the technology , stating that “ the use of Big Data and analytics in supply chains is rapidly increasing , with it being possible to achieve a near-autonomous supply chain in the
MARCH 2020