Oracle Announces Fusion SCM Analytics For Building Resilient Supply Chains

Oracle Fusion SCM Analytics delivers pre-built metrics and dashboards that are ready-to-use from day one and leverages machine learning to help business and supply chain leaders control costs, reduce risks, ensure customer satisfaction, and drive revenue.

Oracle recently announced their new cloud analytics solution that gives Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) customers the insights needed to detect, understand, and resolve issues faster throughout the supply chain. Built on Oracle Analytics Cloud and Oracle Autonomous Data Warehouse, Oracle Fusion SCM Analytics delivers pre-built metrics and dashboards that are ready-to-use from day one and leverages machine learning to help business and supply chain leaders control costs, reduce risks, ensure customer satisfaction, and drive revenue. 

“Supply chains are under immense scrutiny as organisations face new and unexpected disruptions. Now more than ever, organisations need real-time insights into every element of their supply chain to help them make the right decisions and get ahead of disruptive events and changing customer expectations. With Oracle Fusion SCM Analytics, customers can quickly uncover supply chain performance insights, identify issues, increase efficiency, and minimise supply chain disruption,” said T.K. Anand, Senior Vice President, Oracle Analytics.

The Oracle Fusion SCM Analytics aims to provide business leaders with a comprehensive view of supply chain operations to better understand the impact of their supply chain’s performance on business goals and predict and prepare for future disruptions.

Image Source: Oracle

Using Oracle Fusion SCM Analytics, customers will be able to: 

  • Gain Visibility into Supply Chain Performance: Improve supply chain efficiency and optimise costs with KPI dashboards that deliver deeper insights into order management, fulfilment, inventory, and procurement. 
  • Detect, Understand, and Predict Supply Chain Issues: Machine learning and predictive analytics provide automated insights into supply chain data to identify cost-saving opportunities, surface operational bottlenecks, and predict future outcomes. An open architecture supports data from external supply chain stakeholders, e.g. third-party service providers, to be brought to the warehouse.

To help customers discover unique insights faster, Oracle Fusion Analytics Warehouse enables organisations to break down organisational silos and analyse financial, supply chain, and HR data on a single integrated cloud platform. Fusion SCM Analytics is the most recent Fusion Analytics offering for the Fusion Cloud Applications suite, adding to Fusion ERP Analytics and Fusion HCM Analytics.

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Victor Dey
Victor is an aspiring Data Scientist & is a Master of Science in Data Science & Big Data Analytics. He is a Researcher, a Data Science Influencer and also an Ex-University Football Player. A keen learner of new developments in Data Science and Artificial Intelligence, he is committed to growing the Data Science community.

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