Managing cash inflow is just as critical to a CFO’s responsibilities as managing cash outflow. In today’s environment, where customer payment behavior is increasingly unpredictable, credit terms are tightening, and working capital efficiency is under more scrutiny than ever, finance leaders cannot afford to rely on static AR reports or manual spreadsheets exported from Oracle Fusion.

They need continuous visibility into customer balances, aging, payment trends, overdue risk, and cash inflow forecasts.

The Accounts Receivable Analytics Dashboard, powered by Oracle Fusion ERP + Power BI + BI Connector, provides exactly that.

This dashboard functions as a live intelligence layer for AR, giving CFOs the insights they need to accelerate cash collection, strengthen liquidity, and proactively manage customer risk.

The Visibility Gap in Oracle Fusion AR Reporting

Oracle Fusion is a robust ERP system, but the standard AR reporting creates several challenges for finance teams:

• Reports are static and often require manual export
• Customer aging and payment behavior aren’t visualized over time
• AR, cash inflow, and collections performance live in separate reports
• Trend analysis and forecasting are extremely limited
• FP&A teams must piece together OTBI or BIP extracts manually
• Overdue exposure and customer concentration risk are not easy to identify

The result?

• Finance teams spend more time assembling AR reports than analyzing them.
• Treasury teams struggle to forecast incoming cash accurately.
• CFOs lack a consolidated view of where their receivables truly stand.
• The AR Analytics Dashboard closes this visibility gap completely.

A Complete Intelligence Layer for Accounts Receivable

Each page of the dashboard is designed to answer the most critical questions CFOs ask about AR.

Below is how each page transforms raw Oracle Fusion AR data into actionable insight.

1. Overview Page: What is our total AR exposure right now?

This page provides an instant snapshot of:

• Total outstanding AR
• Overdue invoices ($ and #)
• Overdue %
• Total invoiced amounts
• Paid vs outstanding trends over time
• Average days to payment

Finance leaders no longer need to interpret multiple OTBI extracts or wait for a weekly AR aging spreadsheet. This page delivers real-time clarity on AR health in seconds.

2. Cash Inflow Analysis: What customer payments can we expect in the next 30–60 days?

This is the forward-looking engine of the dashboard.

Treasury teams use it to:

• Forecast upcoming cash inflows
• Identify customers who drive short-term collections
• Compare amount due vs prior-year inflow
• Understand inflow patterns by business unit
• Evaluate which invoices represent the largest upcoming cash events

This page turns receivables into a predictive tool, not an after-the-fact report.

It allows CFOs to improve liquidity planning, reduce surprises, and strengthen working capital strategy.

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3. Aging Analysis: Where is AR aging creating risk?

Aging is one of the most powerful indicators of collection risk and customer reliability.

This page breaks it down with clarity:

• Aging by business unit
• Aging by customer
• 90+ days overdue
• Average aging trend over time
• Invoice count by aging bucket
• Detailed invoice-level drill-through

This allows leaders to quickly detect:

• Deteriorating aging buckets
• At-risk segments of the business
• Customers trending toward late payment behavior
• Operational areas contributing to aging spikes

The result? Better prioritization, improved collections strategy, and reduced aging risk.

4. Customers Page: Who are our highest-value customers and how well do they pay?

Customer performance drives the financial health of the business, but standard AR reports don’t offer much behavioral analytics.

The Customers page reveals:

• Top 10 customers by receipts and by invoice count
• Top customers by outstanding amount
• Average days to payment trend
• Amount by customer class
• Customer-level AR tables with payment history

This helps CFOs:

• Identify concentration risk
• Evaluate large customers’ payment behavior
• Negotiate better terms
• Prioritize credit and collections strategy

In short: CFOs gain a clear picture of the customers who are the greatest contributors to cash and those who put it at risk.

5. Collections Performance: How effectively is the organization collecting receivables?

Collections performance is a leading indicator of liquidity strength.

This page highlights:

• % Late
• Average days to payment
• Total outstanding $
• Overdue invoices (#)
• Average days to pay by customer
• Payment trend vs target
• Unpaid invoices trend
• Collection performance summarized by business unit and customer

This turns collections management into a measurable, trackable, improvable process.
CFOs can identify bottlenecks and operational inefficiencies long before they become cashflow problems.

6. Invoice Details: What supporting detail sits behind any insight?

This page serves as the audit-friendly, filterable data layer.

It includes:

• Invoice #
• Customer
• Class
• Status
• Amount
• Due Date
• Terms
• Business Unit
• Payment indicators
• Days to payment

Instead of running separate Oracle reports for exceptions, collections teams can investigate directly in Power BI.

How BI Connector Brings Oracle Fusion Data to Power BI

Power BI does not natively connect to Oracle Fusion Cloud, which is why most organizations rely on manual OTBI exports, BIP reports, or complex integrations that require IT support. BI Connector eliminates these barriers and enables direct, secure, refreshable access to Oracle Fusion data, making true AR analytics possible.

How the Data Moves

The AR Analytics Dashboard uses BI Connector as the bridge between Oracle Fusion and Power BI:

1. Oracle Fusion ERP
   Source of truth for AR invoices, customers, receipts, due dates, and payment statuses.
2. BI Connector
   A secure connector that exposes Oracle Fusion OTBI and BIP subject areas directly to Power BI.
   • No API development
   • No manual data extracts
   • No dependence on IT to constantly rebuild data models
3. Power BI Gateway
   Automates refreshing AR data on a schedule, daily or multiple times per day.
4. Power BI Service
   Publishes and distributes dashboards to CFOs, controllers, finance managers, and collections teams.

This architecture ensures AR data in Power BI is current, reliable, and fully automated.

How the Power BI AR Data Model Is Built

Most dashboards only show visuals.
This solution goes deeper.
It includes a structurally sound, financial-grade data model designed specifically for AR analytics.

1. Cleaned AR Table

Data from Oracle Fusion (via BI Connector) is transformed into:

• AR Fact  – the primary invoice table
• Calendar table– powers time intelligence
• Measure table – stores financial metrics

All tables are structured for high-performance modeling, not direct “dump and chart.”

2. Single Date Table for Time Intelligence

The model uses an enterprise-grade date table to handle:

• Aging calculations
• Time-based filtering
• Trend analysis
• Same-period-last-year comparisons

3. Measure-Driven Logic

All financial calculations are centralized into measures, allowing:

• Consistent KPI definitions
• Easy logic updates
• Guaranteed accuracy across visuals

Examples include:

• Total Outstanding $
• Average Days to Payment
• Overdue Invoices $
• Due in 30 / 60 Days
• Late %
• Customer-level payment trends

4. As-of-Date Analytical Framework

All calculations can be evaluated as of:

• Today
• Any selected date
• Historical cutoff dates

This allows CFOs to reconstruct AR exactly as it appeared at any point in time, a capability Oracle OTBI cannot provide natively.

Why CFOs Need This Dashboard

The combination of Oracle Fusion + BI Connector + Power BI gives finance leadership:

✔ Real-time visibility into customer payment behavior

No more waiting for weekly aging reports.

✔ Predictive cash inflow forecasting

The Cash Inflow page provides forward-looking clarity.

✔ Better control over working capital

Aging trends + overdue exposure + DTP trends = smarter liquidity decisions.

✔ Customer risk management and performance insights

Leaders can easily identify customers who need escalations or renegotiated terms.

✔ A unified view of AR that eliminates reporting silos

Every dataset–customer, invoice, payment timing–is unified.

✔ Reduced reporting burden on finance and IT

No more manual OTBI extracts or spreadsheet consolidation.

Modern Finance Requires Modern Visibility

For companies running Oracle Fusion, the AR Analytics Dashboard is more than a reporting tool–it becomes an extension of the finance function itself, enabling teams to:

• Strengthen liquidity
• Accelerate cash collection
• Improve working capital efficiency
• Reduce overdue balances
• Manage customer risk proactively
• Make decisions based on live data instead of historical spreadsheets

In an environment where visibility, accuracy, and timeliness are critical, this dashboard gives CFOs the clarity they need to lead with confidence.

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