Oracle Fusion ERP Analytics is a prebuilt cloud native analytics solution for Oracle Fusion Cloud ERP that helps finance, procurement, and project professionals uncover the underlying drivers of profitability, improve the use of working capital, and control business expenditures.
Gain a comprehensive view into an organization’s financial performance and better understand profitability, costs, and revenue by conducting historical trend and variance analyses using prebuilt metrics.
Improve payables and receivables efficiency by closely examining the composition of working capital. Analyze performance and identify opportunities to improve the use of working capital with prebuilt or custom metrics based on user-defined benchmarks, without the assistance of data analysts, database admins, or IT.
Perform analyses beyond general ledger balances to examine journal details and subledger transactions to understand exceptions or anomalies.
Analyze and understand revenue trends over time using prebuilt revenue distribution calculations to visualize incoming revenue by product, customer, and other factors.
Quickly identify inefficiencies within the collections process with prebuilt views of customers with overdue receipts, delinquent accounts, and billing issues. Review adjustments, write-offs, and unapplied receipts using a unified view for faster reconciliation and cash collections.
Use prebuilt performance indicators to easily analyze aging receivables using historical trend data displayed by customer, GL account, GL balancing segments, and other factors to understand the impact on collections.
Easily track on-time and overdue vendor payment amounts with comprehensive dashboards to determine payment urgency. Visually analyze discounts received and lost via prebuilt performance indicators.
Visually prioritize upcoming AP invoices that are due within a specific time range or other predefined parameters, and easily customize views without IT intervention. Understand the root cause of invoice holds to help improve DPO.
Review AP aging buckets using historical trend analyses by vendor, GL account, GL balancing segments, and other factors. Extend and customize the prebuilt data pipelines, models and KPIs to tailor analytics to your organization.
Quickly analyze organizational spend across different categories, including business unit, geography, and cost center with prebuilt, performance indicators across departments. Develop strategies to consolidate suppliers and negotiate better pricing terms using detailed insights into purchasing patterns.
Reduce off-contract spend and minimize agreement leakage with detailed insights into savings metrics, such as negotiated spend percentage and rogue spend by category type.
View finance and procurement metrics together to optimize working capital without complex data integration or help from IT. Optimize supplier payment timing by performing cost-benefit analysis to capture unrealized interest and/or early payment discounts.
Oracle ERP Analytics prebuilt data visualizations allow faster and easier identification of expense anomalies to quickly remediate fraudulent activity and policy violations and prevent future occurrences.
Rapidly perform employee spending analysis by region, department, project, and other categories using prebuilt analytics. Improve expense report compliance by visually identifying audit exception trends and patterns of excessive spend using the application’s dashboards.
Ensure timely reimbursements while maintaining audit integrity. Easily monitor expense cycle time performance metrics using dashboard “cards” that automatically display incoming expense report volume, filing and approval duration, audit adjustment metrics, and more.
Use prebuilt analytics and data visualizations to track off-contract spend patterns, agreement leakage, and agreement utilization by historical trends, item, and suppliers to identify potential savings opportunities.
Monitor all elements of the procure-to-pay cycle against prebuilt or user-defined benchmarks to uncover operational bottlenecks. Easily analyze end-to-end finance and procurement data from requisitions to invoice and payments. Using Oracle’s prebuilt Fusion ERP Analytics to avoid delays and inaccuracies that can result from manual, complex data integration processes.
Analyze supplier performance against contractual benchmarks using multiple prebuilt metrics, such as on-time delivery, rejected, shipped, short-closed, and return rates. Quickly identify the root cause of poor supplier performance to minimize risk and disruptions to the business.
Easily evaluate margins and identify at-risk projects by analyzing trends and variances at any given time through the project lifecycle with out-of-the box KPIs and metrics.
Uncover cost drivers by visually identifying variances across projects, tasks, and resources. See trends of burdened cost, raw cost, and burden cost including inception-to-date and year-to-date.
Visually explore revenue and billing trends across projects and customers with easy-to-use, self-service visualizations. Drill down to granular details to view accounted distributions by GL account and period to identify unaccounted transactions.
Get connected project insights with a single, analytical, extensible data model across Fusion Analytics that increases visibility of your project data, bridging departments. Quickly find correlations by analyzing timecards, sales orders, and inventory transactions with project attributes.
Finance and operations leaders gain meaningful insights on asset health, asset mix, economic life by entity, category, and associated details.
Users track prebuilt easy-to-understand KPIs, such as net book value, depreciation value, salvage value, and acquisition cost across all the asset categories and entities.
Understand financial implications of asset life cycle: acquisition, depreciation, revaluation, impairment, and disposition.
Intelligent data pipelines source data from Oracle Fusion Accounting Hub, enabling automatic configuration of pipelines, data models, and analytics views.
Discover rich insights based on balances, journals, transaction attributes, and supporting references to address all analytical needs. Connect the dots from balances to subledger transaction details.
Combine Accounting Hub data with Projects, General Ledger, Payables, and Receivables for 360-degree visibility. Easily combine data from third-party sources such as operational and digital systems with accounting data.
Select your KPIs, get up and running quickly, and realize immediate business benefits. Explore our prebuilt content with your own data and start making better decisions faster.
Monitor performance against objectives with more than 1,000 best practice ERP KPIs.
Gain Oracle-managed data pipelines and model for Oracle Cloud ERP data.
Leverage ready-to-use machine learning to predict business outcomes and detect risk.
Easily add non-Oracle data by using self-service methods or a more governed, curated approach.
Visually explore data and use voice and mobile. Create dashboards and reports with easy drag and drop.
Streamline deployment with prebuilt analytics that stays current with Oracle Cloud ERP releases.
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Prebuilt capabilities | ||
More than 2,000 ready-to-use, best practice KPIs, metrics, dashboards, and reports |
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Native integration with Oracle Cloud ERP |
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Fast performing, prebuilt analytics data model |
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Rapid implementation—no coding required |
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Incremental updates based on Oracle Cloud ERP releases |
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Ready-to-use machine learning (ML) for specific business processes |
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Single shared data model for Oracle Cloud Applications (ERP, HCM, SCM, and CX) |
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Extensibility capabilities | ||
Self-service tools for custom visualization and report creation |
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More than 50 native self-service connectors to diverse data sources |
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Machine learning and predictive analytics available to everyone |
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Insights from natural language processing |
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For the first time ever, we are benefiting from an analytics solution that can provide an easy-to-use and engaging experience for C-level executives.
Customers across a wide range of industries use Oracle Fusion ERP Analytics.
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