Enterprise Analytics • Root Cause Analysis • Financial Performance

Late Fee Analytics & Performance Project

Turning Billing & Payment Data Into Actionable Business Insight

Developed and managed a repeatable analytics framework for evaluating late-fee performance across complex enterprise utility portfolios—connecting billing, receipt, consolidation, client funding, payment, due-date, utility and financial data to determine where late fees occurred, why they occurred, who was responsible, and where process improvements could reduce future exposure.

SQLAdvanced ExcelPower BITableauKPI DevelopmentContract Review

Business Challenge

Late payment did not automatically explain responsibility.

Late fees could result from invoices received too close to the due date, client funding outside contracted timeframes, approval-to-pay requirements, first-bill scenarios, consolidation delays, recurring utility issues, or other operational exceptions. The challenge was creating a consistent methodology that separated these scenarios and produced actionable findings.

My Role

Analysis, validation and executive reporting

Analyzed and reconciled billing and payment datasets across multiple sources.
Developed repeatable late-fee reporting methodologies and KPIs.
Performed root-cause investigations and responsibility validation.
Reviewed operational performance against contractual requirements.
Identified recurring utility and account trends.
Prepared executive reporting packages and stakeholder recommendations.

Analytical Framework

Invoice-to-Payment Analysis

Invoice
Received

→

Processing

→

Consolidation

→

Client
Funding

→

Payment

→

Utility
Due Date

The analysis moved beyond “Was the invoice paid late?” to determine what happened in the process that contributed to the late fee.

Executive KPI Framework

Consistent measures for performance and responsibility

Late Fee DollarsFinancial exposure

Late Fee Bill CountAffected invoices

LF FrequencyLF bills vs. all bills

LF % of SpendFinancial significance

Paid-to-DuePayment timing vs. due date

Consolidated-to-FundedFunding timing

Utility ConcentrationRecurring exposure

Responsibility DriverRoot-cause classification

Root-Cause & Responsibility Analysis

Classifying transactions into actionable drivers

Not Enough Time to Pay From Received Date
Funded Outside Contracted Timeframe
First Bill / Account Transition
Approval to Pay
Consolidation-related and other operational drivers

Payment, funding, processing, invoice availability and contractual requirements were evaluated independently so responsibility was supported by operational data rather than assumed from the payment date alone.

Trend & Concentration Analysis

Finding recurring exposure and material changes

Monthly and multi-period reporting identified changes in late-fee dollars, bill counts, frequency, payment timing, funding performance, receipt methods, responsibility drivers and recurring utilities. Utility concentration analysis focused remediation on the highest-impact opportunities.

Reporting Standardization & Process Improvement

From individual investigations to a repeatable reporting program

Standardized KPI definitions, responsibility classifications, data-validation rules, executive summaries, utility comparisons, period-over-period reporting, Excel analysis, SQL-supported investigation and reporting templates—improving consistency and making complex operational results easier for leadership and business teams to act upon.

Financial VisibilityUnderstand exposure and its significance.

Root-Cause IdentificationIdentify why fees occurred across the process.

AccountabilitySeparate payment, funding, receipt and process factors.

Improvement TargetingFocus teams on the highest-impact opportunities.

Sample Analytics Output

Sanitized portfolio demonstration

Sanitized Late Fee Analytics dashboard sample

All dashboard data is sanitized for portfolio demonstration purposes. No client names, account numbers or proprietary transaction data are displayed.

Tools & Capabilities

SQL • Advanced Excel • Power BI • Tableau

Pivot Tables • XLOOKUP • KPI Development • Data Reconciliation • Root Cause Analysis • Contract Review • Trend Analysis • Executive Reporting • Process Improvement

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