Data-driven decision-making is no longer just beneficial. It’s required for organizations to succeed. And that’s especially true when it comes to finance data, which is at the heart of so many key business decisions. But sometimes even finding the right solution to use isn’t straightforward.

For Oracle Cloud ERP customers, the best answer is often the most obvious. Oracle Fusion ERP Analytics, a component of Fusion Data Intelligence, is designed for ERP customers, and it offers prebuilt financial analytics, ready-to-use analytics data models, and predefined data pipelines. This combination allows Fusion ERP Analytics to provide rapid, resilient reporting and analytics, enabling deep insights into financial and operational data for companies using Oracle’s ERP systems. And the fully managed data pipeline integration is intelligent enough to elegantly handle release upgrades without significant impacts to data availability.

So whether you have a new ERP implementation or one you haven’t yet gotten just the right reporting from, or if you are unhappily relying on complicated data extractions or have special use cases (like monitoring expense fraud), Fusion ERP Analytics can provide the understanding you need to make smart decisions. Let’s take a look in more detail.

Fusion ERP Analytics 101

Fusion ERP Analytics is part of Oracle’s broader suite of analytics tools and supports a wide range of functional use cases in finance, projects, and procurement. It’s built on Oracle’s cloud-based data and analytics platforms. This includes Oracle Analytics Cloud, a scalable, native OCI service that provides self-service visualizations and a fully governed semantic layer; and Oracle Autonomous Data Warehouse, which serves as the underlying data platform, offering a highly optimized, fully managed data warehouse environment that uses machine learning (ML) to automate patching, tuning, backups, and updates.

Key use cases include:

Financial analytics

  • Optimizing working capital using pre-packaged KPIs such as DSO, DPO, and DIO
  • Generating management reports with insights on top-line growth and bottom-line trends across products, regions, and lines of business
  • Improving operational efficiency by gaining insights into aging trends, turnover ratios, and process health through cycle-time metrics

Procurement

  • Gaining visibility into direct, indirect, and service expenditures, which are critical for driving sourcing initiatives and programs
  • Measuring process health with source-to-pay cycle times, spend per invoice, and change and approval history
  • Managing supplier risk with a holistic view of purchase price, payment terms, supplier capabilities, sustainability, delivery performance, and product quality issues

Project accounting

  • Assessing the health of your entire portfolio at an aggregate level to understand impact at a line-of-business level
  • Analyzing project financials, including important metrics and associated trends to drive corrective actions; project managers can monitor deviations from plans and track costs and commitments
  • Getting an integrated view of your business by combining HR and supply chain data with project financials

Product direction

Fusion ERP Analytics is evolving to meet the needs of modern businesses by integrating advanced technologies, offering real-time insights, and improving accessibility. Examples include:

  • AI and ML: Fusion ERP Analytics is increasingly leveraging AI and ML to provide intelligent insights and authoring assistance, among other things. These enhancements allow for predictive analytics, anomaly detection, and automated financial processes that can significantly improve the accuracy and speed of decision-making. And they can be used on day one—they’re prebuilt and don’t require customers to have in-house data science skills.
  • Data integrations: Recent improvements in connectors and the frequency with which data is refreshed mean that leaders can now get instant insights into their business operations. This includes options to connect EPM Cloud data in a variety of ways (i.e., self-service connection with no data migration, combining ERP and EPM data in a warehouse, etc.).
  • Improved user experience and accessibility: Recent updates to self-service capabilities have made Fusion ERP Analytics more user-friendly, with customizable dashboards, contextual insights, and advanced data visualization tools. So even non-technical business leaders can easily access and interpret complex data, allowing them to make data-driven decisions without relying heavily on IT departments.
  • Predictive analytics: Expanded predictive analytics capabilities help businesses anticipate future trends and challenges. By forecasting revenue and expenses—and predicting supply chain risks—leaders can use Fusion ERP Analytics to proactively manage business priorities and capitalize on opportunities, which is essential for strategic planning.

Conclusion

Fusion ERP Analytics is widely used by organizations looking to improve financial management, operational efficiency, and strategic planning, and it’s particularly well-suited to large enterprises, financially driven organizations, global businesses, and industries with complex supply chains. It is a powerful tool that helps organizations leverage their ERP data to gain deeper insights and drive better business outcomes. And if you’re already using Oracle Cloud ERP, there’s a good chance it’s the right choice for you.

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