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How to Use Big Data to Improve Supply Chain Visibility

Talking Logistics

According to a July 2014 supply chain research study from Accenture focused on Big Data and supply chain risk management, most organizations have high hopes for using big data analytics in their supply chain but many have had challenges in deploying it.

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Are You Caught in Word Salad Dribble?

Supply Chain Shaman

I see a preponderance of reports and white papers that have lots of pages but say little. Optimization engines to improve functional metric performance resulted in an exploding number of planners. days to receive a purchase order confirmation. The average purchased order changes 3.5 Back to John. On average, it takes 2.8

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Seven Mistakes You Wish Your CFO Had Not Made You Make

Supply Chain Shaman

Companies that viewed the pandemic as another risk management event will struggle the most with Q1 and Q2 earnings reports. Focus on Cost. The Chief Financial Officer gained more presence with procurement and IT reporting to finance. A Zealous Focus on Cost. A Decline in Innovation. Less Collaborative.

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How Can Supply Chain Leaders Use Big Data as a Tool to Continuously Improve?

GlobalTranz

Supply chain leaders are enthralled with the idea of using big data, but they tend to fail to understand how to disseminate big data in their organization properly. Ask Traditional Questions, and Let Big Data Provide Answers. Transportation modes used in procurement and shipping. Demand forecasts.

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Optimize Demand Planning with AI: Plan Product Mix & Sales Forecasts Effectively

ThroughPut

Food & Beverage giants like Kellog’s reported on the state of breakdown in supply chain management. Demand planning and forecasting in the traditional sense relied heavily on a combination of limited and biased data and gut instinct. The unavailability of raw materials and changing consumer patterns heavily impacted demand.

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4 Ways Big Data is Changing Inventory Management

EazyStock

Big data is a term used to describe a massive volume of both structured and unstructured data that’s too large to be processed using traditional database and software techniques. In most enterprise scenarios, the volume of data is too big, moves too fast and exceeds processing capacity of existing applications.

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Siemens BT: Every analytical transformation requires a “Jonah Hill”

NC State SCRC

One of our newest SCRC partners, Siemens Building Technologies, recently shared their insights on creating an analytics strategy. This effort was led by the Chief Procurement Officer for Siemens BT, Carl Oberland, but has recently been rolled out across the global organization. What is digital governance and stewardship?