What’s better than being a data-driven organization? Being insights-driven, which involves fact-based decision-making and unbiased predictions using immersive data and analytics solutions. Oracle Fusion Analytics is one such solution. It is a cloud native analytics solution for Oracle Fusion Cloud Applications for ERP, HCM, SCM, and CX that provides business users with prebuilt insights to improve decision-making. It enables alignment across the organization on KPIs (key perfomance indicators), allowing different business functions to work in unison toward shared business objectives. 

At Oracle, our goal is to provide Fusion Applications users with strategic insights – both descriptive and prescriptive – to facilitate faster decision-making in their day-to-day business workflows. We envision Fusion Analytics powering insights across finance, human resources, supply chain, sales and service, seamlessly embedded into the user experience of Fusion Applications. In fact, our vision is to make Fusion Analytics an integral part of Fusion Applications. Accordingly, our roadmap combines the advanced analytics capabilities of Fusion Analytics with the existing reporting capabilities of Fusion Applications. This post walks through our high-level roadmap so you can see how the vision comes to life. 

Oracle Fusion ERP Analytics Roadmap

Fusion ERP Analytics helps users unearth and analyze key drivers of profitability, revenue, and cost. Key roadmap highlights include: 

  • Configurable account analysis: this enables users to understand the summary-level account balance with drill to details into sub-ledger transactions leveraging user-defined account analysis templates.
  • Accounting Hub: Accounting Hub customers can use Fusion Analytics to understand the financial and business trends based on data coming from the customer-defined sub-ledgers in Accounting Hub. 
  • Connector for EPM data: this enables customers to bring in EPM data including but not limited to budgets and forecasts alongside actuals to enable variance analysis for related use cases.
  • Project Analytics: after key features related to project costs and commitment, project budgets, and forecasts, our focus is now on project funding and revenues, followed by invoices and support for project performance and grants.

Oracle Fusion HCM Analytics Roadmap

Fusion HCM Analytics provides workforce insights for HR and People leaders to hire, retain, and grow talent effectively. With rich coverage across workforce diversity, attrition, retention, talent acquisition, compensation, payroll, learning, absences, and more, it enables companies across the globe to manage their talent investments, especially in these pivotal times. Recent releases include:

  • Insights on Journeys and Learnings enable a deeper understanding of the employee experience. At the same time, Payroll Analytics with actuals, variance trends, and drill-through capabilities open new doors for corporations to manage workforce investments.
  • Talent Profile Matching uses ML algorithms to match employee skills with jobs. With a deeper understanding of the skill match gap within the organization, managers can promote internal mobility and create career growth opportunities essential to keep attrition in check.
  • Security Enhancements enable users to configure security based on AOR data from the HCM Cloud and conduct security audits.

We have also made several enhancements requested by our customers, such as supporting custom bands for performance management and tenure analytics, rolling 12-month headcount, position-based metrics, bottom-up hierarchies, and the ability to hide prebuilt content.

Oracle Fusion SCM Analytics Roadmap

Fusion SCM Analytics provides ready-to-use KPIs for minimizing supply chain process inefficiencies and disruptions while ensuring customer satisfaction. Roadmap focus areas are: 

  • Work Order analytics to provide valuable insights leveraging manufacturing work orders data.
  • Product costing related insights based on item cost and cost accounting distribution details.
  • Connectivity to supply chain planning and Oracle Transportation Management to bring in data leveraging Data Augmentation to drive analytics use cases.
  • Key enhancements to Inventory on Hand balances and receipts toward improved inventory visibility across the value chain.

Oracle Fusion CX Analytics Roadmap

Fusion CX Analytics is the most recent addition to the Fusion Analytics product family. The initial focus is on providing a revenue intelligence solution that offers insights into revenue-generating activities by combining data from the front, middle, and back office. Key roadmap highlights are:

  • Support for account-based marketing with insights into marketing attribution effectiveness.
  • Support for subscription management analytics, with the plan to integrate financial data from ERP Cloud.
  • Analytics for B2B Service management with customer lifecycle analysis and more.
  • Support for quotes, incentive comp data, as well as pricing optimization.

What differentiates Oracle in the analytics market?

Customer satisfaction is the cornerstone of success at Oracle. Here are a few key value propositions that Oracle Fusion Analytics has emphasized:

1. Drive faster time-to-value with prebuilt, ready-to-use data and analytics

All organizations have data in different areas of finance, operation, human resources, customer, supply chain, and so forth. However, it’s a time-consuming process to collect, combine, and aggregate the data to truly achieve analytics-driven decisions. Fusion Analytics has addressed this basic yet intrinsic customer need by making Fusion Applications data readily available as prebuilt data within an analytics solution, eliminating the need for cumbersome and time-consuming ETL (Extract Transform Load) processes while driving faster time-to-value.

2. Use the extensibility framework to incorporate all kinds of data sources (both Fusion and non-Fusion)

Fusion Analytics is extensible at all layers of the stack with the ability to integrate any kind of data via the data integration tool of choice. Additionally, Fusion Analytics provides wizards for extending its semantic model and extending the prebuilt dimensions and facts, creating hierarchies, and utilitizing entirely new subject areas based on the data from other sources in combination with Fusion Applications data.

3. Connect all businesses with cross-departmental analytics

No company can afford to operate as a siloed organization when leaders of finance, human resources, sales operations, and others are increasingly held accountable to a shared set of KPIs. Cross-departmental analytics helps achieve these goals. Environmental, Social, and Governance (ESG) analytics is one such excellent example. Enabling ESG analytics requires data from a variety of disparate sources – finance, supply chain, and human resources, along with other external sources. This also explains why Fusion Analytics and its extensibility framework provides such a solid foundation for implementing ESG Analytics.

 

Oracle Fusion Analytics is the best of both the Saas and PaaS worlds for organizations: SaaS because they can start exploring Fusion Applications data with minimal development efforts, and PaaS because they can leverage the full power of Oracle’s platform services to extend and customize services to meet specific customer requirements and needs.

To learn more about the vision and roadmap for Oracle Fusion Analytics, watch the Oracle CloudWorld 2022 replay.