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Oracle Fusion Analytics for SCM

Oracle Fusion Supply Chain Management (SCM) Analytics is a prebuilt cloud native solution for Oracle Cloud SCM that helps supply chain professionals uncover underlying drivers to improve efficiency, reduce costs, and ensure customer satisfaction. Oracle’s unique breadth and depth of combined analytics and application capabilities enable organizations to unify supply chain analytics across different departments. SCM teams can enrich their analytics without coding using embedded machine learning and additional data from other sources beyond Oracle Cloud SCM.

Take a tour of Fusion SCM Analytics

Learn how to improve your supply chain efficiency with analytics.

Why choose Oracle Fusion SCM Analytics

Prebuilt

Prebuilt

Implement quickly with prebuilt SCM KPIs, data model and native integration.

Understand prebuilt capabilities

Unified

Unified

Eliminate silos with a single data model across Oracle Cloud Applications.

Read the unified story

Extensible

Extensible

Create custom visualizations and extend with additional data sources.

Learn how to customize

Predictive

Predictive

Leverage machine learning for better predictions, no coding required.

Explore ML innovations

Intuitive

Intuitive

Personalize the user experience for a consistent view across any device.

See demo (2:20)

Prebuilt analytics for Oracle Cloud SCM

Understand order management and fulfillment performance

Identify demand trends and order promise issues

Analyze booking volume, backlog issues, return reasons based on organization, customer, product, time, and order details.

Evaluate order fulfillment and delivery performance

Ensure customer satisfaction by tracking KPIs such as percentage of on-time delivery, perfect order, shipped-in-full, on-hold orders, and more.

Discover bottlenecks in order-to-cash processes

Improve efficiency, revenue streams and sales margins by analyzing cycle times from bookings to fulfillment to invoicing.

Sample prebuilt KPIs/metrics
  • Perfect sales order count and percentage
  • Average hold time
  • Sales order past due amount
  • Sales order shipped in full percentage
  • Sales order on-time shipment percentage
  • Sales order open return amount
  • Sales order to shipment cycle time
  • Average sales order promising delay

Get a clear picture of inventory movement and valuation

Ensure alignment of inventory levels with demand

Gain visibility into global supply networks, internal and external stocking locations, and goods in transit. Improve fill rates by tracking stock on hand at detail levels such as SKU, category, and item location, to keep up with demand forecast and support anytime, anywhere fulfillment.

Improve the efficiency of inventory management across multiple locations

Precisely analyze stock balances and inventory valuation across stocking locations needed to achieve target service levels, meet customer demand, and achieve high customer satisfaction. Manage costs, working capital, and inventory turn by optimizing fill rates, identifying slow-moving items, and determining the best warehouse locations for high-demand products.

Understand costs and profitability at a granular detail

Analyze production costs for work in process and finished goods as well as the handling costs of merchandise inventory at granular detail for accurate valuations. Identify cost-saving opportunities by examining cost details and trends for units, materials, overhead, labor, and handling.

Sample prebuilt KPIs/metrics
  • Inventory on-hand quantity and value
  • Item unit cost
  • Profit in inventory
  • Percent material cost
  • Percent material overhead cost
  • Percent resource cost
  • Percent overhead cost
  • Percent profit in inventory

Improve strategic sourcing, supplier management and procurement efficiency

Uncover cost-saving opportunities

Source more intelligently by tracking spend patterns, agreement compliance, and utilization by category, item, and suppliers.

Manage supplier risk and performance

Analyze supplier performance against contractual obligations using prebuilt metrics, such as on-time delivery, rejected shipments, and return rates. Quickly identify the root cause of poor supplier performance and take corrective action to minimize risk and supply chain disruptions.

Enhance procurement effectiveness

Monitor performance of the procure-to-pay process to ensure service level compliance. Use prebuilt KPIs to quickly analyze accounts payable and procurement data from requisitions, purchase orders, invoices, and supplier payments.

Sample prebuilt KPIs/metrics
  • Agreement utilization
  • Contracts expiring
  • Items on agreement
  • Shared services amount
  • Requisition-to-receipt cycle time
  • Purchasing analysis by discounts, shipped, short closed, and more
  • Receipt analysis by delivery, rejected, returns, ASN, and more

Explore the capabilities of Oracle Fusion Analytics

Advantages of prebuilt Fusion SCM Analytics

  Oracle Cloud SCM
 

With Oracle Fusion SCM Analytics

With third-party tools

Prebuilt capabilities
More than 200 ready-to-use, best practice KPIs, metrics, dashboards cards, and reports
available
not available
Native integration with Oracle Cloud SCM
available
not available
Fast performing, prebuilt analytics data model
available
not available
Rapid implementation—no coding required
available
not available
Incremental updates based on Oracle Cloud SCM releases
available
not available
Inherited role-based security from Oracle Cloud SCM
available
not available
Single shared data model for Oracle Cloud Applications (SCM, ERP, and HCM)
available
not available
Extensibility capabilities
Self-service tools for custom visualization and report creation
available
available
More than 50 native self-service connectors to diverse data sources
available
incomplete
Machine learning and predictive analytics available to anyone
available
incomplete
Insights from natural language processing
available
incomplete

Available

Incomplete offering

Not available

Oracle Fusion Analytics will allow us deeper visibility and insight into the core operations of our business while extending analytics capability out to our end users with less dependency on writing custom reports and data model maintenance.

Tom Cullen, CIO, Corsair


23. März 2022

Oracle im 2022 Gartner® Magic Quadrant™ für Analysen und Business Intelligence-Plattformen als Visionär eingestuft

Isabelle Nuage, Senior Director, Product Strategy

Das dritte Jahr in Folge wurde Oracle im Gartner Magic Quadrant für Analyse- und BI-Plattformen als Visionär eingestuft.

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