Analytics Related Topics 
Supply Chain Shaman
NOVEMBER 3, 2021
New forms of analytics abound. Supply chain leaders struggle with the adoption and use of new forms of analytics. Only one in two are satisfied with their success in using analytics. Analytics Success by Business Leaders. The post The Big Supply Chain Analytics Failure appeared first on Supply Chain Shaman.
Supply Chain Shaman
NOVEMBER 3, 2021
New forms of analytics abound. Supply chain leaders struggle with the adoption and use of new forms of analytics. Only one in two are satisfied with their success in using analytics. Analytics Success by Business Leaders. Embracing them is a different story. Data abounds while insights are low.
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Supply Chain Shaman
NOVEMBER 3, 2021
New forms of analytics abound. Supply chain leaders struggle with the adoption and use of new forms of analytics. Only one in two are satisfied with their success in using analytics. Analytics Success by Business Leaders. Embracing them is a different story. Data abounds while insights are low.
Supply Chain Shaman
OCTOBER 25, 2021
We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Invest in analytics to sense and translate demand. While new analytics possibilities exist, business leaders’ understanding of how to use them is limited. Build capabilities to manage planning master data.
Advertiser: GEP
The C-suite is laser-focused on supply chain performance. This GEP-sponsored report will show you how to leverage data for a collaborative supply chain that delivers results and how to future-proof supply chain management strategies.
Supply Chain Shaman
OCTOBER 25, 2021
We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. Invest in analytics to sense and translate demand. While new analytics possibilities exist, business leaders’ understanding of how to use them is limited. Build capabilities to manage planning master data.
Logility
MARCH 13, 2020
Here’s your two-minute guide to understanding and selecting the right descriptive, predictive and prescriptive analytics for use across your supply chain. Looking at all the analytic options can be a daunting task. However, luckily these analytic options can be categorized at a high level into three distinct types.
Advertiser: GEP
Read the new GEP-sponsored report by Harvard Business Review Analytic Services for strategies and digital solutions to achieve these goals. Supply Chains have 3 key priorities: building resiliency, reducing costs and driving ESG performance.
Speaker: Cathy Morrow Roberson, Research Manager for the Reverse Logistics Association
Businesses need to leverage advanced tracking systems and data analytics to identify bottlenecks and improve supply chain visibility. In today's competitive business landscape, providing a seamless return experience and maintaining an efficient supply chain are critical to customer satisfaction and loyalty.
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Supply chain analytics creates new insights that help improve supply chain decision making from the improvement of front-line operations to strategic choices, such as the selection of the right supply chain operating models.” – McKinsey & Company. Difficulty forecasting demand due to constant supply chain disruptions.
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Succeeding in this environment requires a modern approach to data – one that continuously funnels real-time information from suppliers, partners, warehouses, and stores to analytics for instant insights that enable immediate, informed action. 4 ways Active Intelligence transforms supply chains. 4 customer success stories.
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times more likely to take advantage of analytics. Industry leaders are 3.5 This drive toward intelligent business is redefining how organisations need to operate if they hope to be successful.
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Mathematical optimization is a subset of artificial intelligence and a type of prescriptive analytics. How can this type of prescriptive analytics be applied to lower costs, reduce carbon emissions and build more resilient supply chains? What are some of the most common use cases for mathematical optimization across industries?
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Today, a growing group of analytics teams and data scientists are adopting mathematical optimization to support business decision-making in a wide range of industries. Want to find out where optimization falls in the broader AI and business analytics spectrum. Learn all about this AI technique and how it can help your organization.
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Advanced analytics & Scenario Modeling. This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. This report is useful if you are interested in: Exploring new network design insights and capabilities.
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