Conquering supply chain’s next frontier
Analytics is fast becoming a competitive differentiator for many companies. Conquering this next frontier of supply chain productivity starts with asking the right questions.
“Computers are useless. They can only give you answers.” Never has Pablo Picasso’s statement been truer than in today’s era of Big Data and massive computing power. With an abundance of data supplying companies with more and more answers, making great decisions should be easy, right? In fact, this abundance of “answers” may be obscuring the most important component of datadriven decision-making. Are companies asking the right questions?
Recently, a client was experiencing significant cost and service pressures in their inbound supply chain and was looking to infuse analytics into their decision-making process. Under a myriad of pressures from shoppers, suppliers and logistics partners, they immediately prioritized improving their inbound service and reducing logistics spend as their initial business challenge.
They were eager to analyze their data to address these issues. However, before beginning the analytic process, it was important for them to take a step back from the data analysis and ensure that their organization was ready for data driven analytics. Companies that have achieved this next frontier of supply chain productivity anchored their organization around several essential elements for effectively leveraging analytics.
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“Computers are useless. They can only give you answers.” Never has Pablo Picasso’s statement been truer than in today’s era of Big Data and massive computing power. With an abundance of data supplying companies with more and more answers, making great decisions should be easy, right? In fact, this abundance of “answers” may be obscuring the most important component of datadriven decision-making. Are companies asking the right questions?
Recently, a client was experiencing significant cost and service pressures in their inbound supply chain and was looking to infuse analytics into their decision-making process. Under a myriad of pressures from shoppers, suppliers and logistics partners, they immediately prioritized improving their inbound service and reducing logistics spend as their initial business challenge.
They were eager to analyze their data to address these issues. However, before beginning the analytic process, it was important for them to take a step back from the data analysis and ensure that their organization was ready for data driven analytics. Companies that have achieved this next frontier of supply chain productivity anchored their organization around several essential elements for effectively leveraging analytics.
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