Logility
MARCH 6, 2024
In an ever-evolving technological landscape, new potential explodes in the supply chain space daily. With improving machine learning and artificial intelligence capabilities, advanced analytics are shifting, becoming a more attractive option to leaders across industries. What Are Advanced Analytics? Let’s take a look.
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. Start with a focus on supply chain failure. Elevate the discussions.
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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. Start with a focus on supply chain failure. Elevate the discussions.
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. Start with a focus on supply chain failure. Elevate the discussions.
Advertiser: GEP
And for procurement and supply chain leaders looking to harness the power of technology to navigate complex challenges and an uncertain business environment, keeping up with the latest trends can be its own obstacle. So, what’s on the technological horizon for procurement and supply chain for the year ahead?
IT Supply Chain
APRIL 16, 2024
By Paul Williamson (pictured) Content Writer The post The Role Data Analytics Plays is Transforming Supply Chain Efficiency appeared first on IT Supply Chain.
The Smart Software
MARCH 11, 2024
In this video blog, we explore the critical roles of Descriptive, Predictive, and Prescriptive Analytics in inventory management, highlighting their essential contributions to driving supply chain optimization through strategic foresight and insightful data analysis.
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.
Advertiser: GEP
Supply Chains have 3 key priorities: building resiliency, reducing costs and driving ESG performance. Read the new GEP-sponsored report by Harvard Business Review Analytic Services for strategies and digital solutions to achieve these goals.
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Managing disruption of any kind has become the #1 priority in supply chain operations. Read how a new approach to analytics can help supply chain leaders take informed action ‘in the moment’ as you look to respond to an ever more uncertain world. Taking steps towards building your analytics data pipeline with Qlik.
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Find out what's essential to supply chain excellence. Read the latest insights on AI, IoT, network design, machine learning, prescriptive analytics and other hot technologies. What’s inside? Gartner’s latest recommendations on tried and true capabilities. Research insights on new technologies. Vendors you can work with.
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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. Advanced analytics & Scenario Modeling. This report is useful if you are interested in: Exploring new network design insights and capabilities.
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Difficulty forecasting demand due to constant supply chain disruptions. 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.
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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? Want ballpark estimates of value and benefits achieved through optimization.
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