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Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/15472
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dc.contributor.authorVetrivel, R G-
dc.contributor.authorMathew, Sajan-
dc.date.accessioned2024-04-20T10:57:09Z-
dc.date.available2024-04-20T10:57:09Z-
dc.date.issued2023-
dc.identifier.urihttp://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/15472-
dc.description.abstractThe processes that organizations use to gain insight and extract value from the large amounts of data associated with the procurement, processing, and distribution of goods are referred to as supply chain analytics. Supply chain analytics is the most essential element of supply chain management. There are three types of supply chain analytics mainly known as Descriptive analytics, Predictive analytics and Prescriptive analytics.en_US
dc.language.isoenen_US
dc.publisherAlliance School of Business, Alliance Universityen_US
dc.relation.ispartofseries2021MMBA07ASB123-
dc.subjectRisk Managementen_US
dc.subjectTime Managementen_US
dc.subjectManagement Strategiesen_US
dc.subjectCadburen_US
dc.subjectNestleen_US
dc.titleA Study on Risk and Time Management Strategies between Cadbury and Nestleen_US
dc.typeOtheren_US
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