Description
🟢 DAY 1: Introduction to Credit Control & Debt Management
Topics Covered:- Understanding Credit Control & Its Importance
- Role of Credit Control in Financial Management
- Credit Management Cycle: Credit Approval to Debt Recovery
- Credit Control Policy & Procedures
Applicable Excel Functions:- Basic Financial Functions: SUM, AVERAGE, MIN, MAX
- Data Formatting: Conditional Formatting, Data Validation
- Sorting & Filtering: SORT, FILTER, TEXTJOIN
- Basic Lookup Functions: VLOOKUP, HLOOKUP, INDEX & MATCH
🟢 DAY 2: Credit Risk Assessment & Analysis
Topics Covered:- Understanding Credit Risk & Its Impact
- Key Financial Indicators for Credit Risk Analysis
- Ratio Analysis for Credit Risk: Liquidity, Profitability, and Leverage
- Scoring & Ranking Credit Risks
Applicable Excel Functions:- Risk Assessment Formulas: IF, IFERROR, COUNTIF, SUMIF, AVERAGEIF
- Financial Ratios Calculation: ROA, ROE, Debt-to-Equity, Current Ratio
- Scenario Analysis Tools: What-If Analysis, Data Tables, Goal Seek
- Statistical Analysis: STDEV (Standard Deviation), VAR (Variance)
🟢 DAY 3: Creditworthiness Evaluation & Scoring Models
Topics Covered:- The 6 Cs of Credit (Character, Capacity, Capital, Collateral, Conditions, Credit History)
- Building a Credit Scorecard in Excel
- Predicting Defaults Using Financial Data
- Using Z-Score for Bankruptcy Prediction
Applicable Excel Functions:- Statistical Formulas: NORM.DIST, NORM.INV, COVAR, CORREL
- Financial Analysis: PV (Present Value), FV (Future Value), PMT (Loan Payment)
- Advanced Lookup Functions: XLOOKUP, MATCH, INDEX
- Trend Analysis: TREND, FORECAST, LINEST
🟢 DAY 4: Managing Accounts Receivable & Aging Analysis
Topics Covered:- Importance of Monitoring Accounts Receivable (AR)
- Creating an Aging Report to Track Overdue Payments
- Implementing Effective Credit Control Measures
- Predicting Payment Delays and Managing Bad Debts
Applicable Excel Functions:- Accounts Receivable Aging Analysis: IF, COUNTIF, SUMIF, AVERAGEIF
- Data Visualization: Pivot Tables & Pivot Charts
- Conditional Logic: IFERROR, CHOOSE, SWITCH
- Advanced Sorting & Filtering Techniques
🟢 DAY 5: Debt Collection Strategies & Techniques
Topics Covered:- Effective Debt Collection Strategies
- Negotiation Techniques for Debt Recovery
- Legal Aspects of Debt Collection
- Automating Collection Reminders in Excel
Applicable Excel Functions:- Text & Date Functions for Reminders: TEXT, TODAY, NOW, DATEDIF
- Automation Tools: Macros, VBA for Automated Payment Reminders
- Data Organization Functions: CONCATENATE, LEFT, MID, RIGHT
- Debt Recovery Tracking: Conditional Formatting, Data Bars
🟢 DAY 6: Cash Flow Management & Credit Control Reports
Topics Covered:- Role of Credit Control in Cash Flow Management
- Forecasting Cash Flow from Receivables
- Managing Working Capital Through Credit Control
- Designing Effective Credit Control Dashboards
Applicable Excel Functions:- Cash Flow Forecasting: TREND, FORECAST, LINEST
- Visualization Tools: Charts, Conditional Formatting
- Dashboard Design: Power Query, Power Pivot, Slicers
- Working Capital Analysis: Working Capital Formula, Current Ratio, Quick Ratio
🟢 DAY 7: Automating Credit Control Processes
Topics Covered:- Introduction to Automation in Credit Control
- Using Excel Macros & VBA for Credit Control Management
- Creating Automated Credit Risk Reports
- Integrating Excel with Accounting Software
Applicable Excel Functions:- Automation Tools: Macros & VBA
- Dynamic Reporting: Power BI Integration, Pivot Tables
- Data Import & Export: Power Query, Get & Transform
- Advanced Conditional Logic: IF, AND, OR, SWITCH
🟢 DAY 8: Fraud Detection in Credit Management
Topics Covered:- Identifying and Preventing Credit Fraud
- Red Flags in Financial Transactions
- Data Analytics Techniques for Fraud Detection
- Automating Fraud Detection Alerts in Excel
Applicable Excel Functions:- Anomaly Detection: IF, COUNTIF, SUMIF, INDEX, MATCH
- Variance Analysis: ABS, ROUND, CEILING, FLOOR
- Trend & Pattern Identification: TREND, GROWTH, FORECAST
- Data Validation for Fraud Detection: Unique Values Check, Duplicate Detection
🟢 DAY 9: Credit Portfolio Management & Reporting
Topics Covered:- Tracking & Analyzing Credit Portfolio Performance
- Measuring Credit Exposure & Diversification
- Developing Credit Portfolio Risk Metrics
- Designing Interactive Credit Portfolio Reports
Applicable Excel Functions:- Portfolio Analysis: SUMPRODUCT, NPV, IRR, XIRR
- Risk Exposure Calculation: VAR (Value at Risk), STDEV, CORRELATION
- Data Visualization: Charts, Heat Maps, Conditional Formatting
- Advanced Reporting Tools: Power Pivot, Power BI
🟢 DAY 10: Real-World Case Studies & Practical Application
Topics Covered:- Solving Real-Life Credit Control Challenges
- Practical Exercises on Debt Management Strategies
- Building a Comprehensive Credit Management Dashboard
- Course Wrap-Up & Certification
Applicable Excel Functions:- Comprehensive Dashboard Development: Pivot Tables, Slicers, Power BI
- Advanced Forecasting & Scenario Analysis: Monte Carlo Simulations
- Automating Final Reports: VBA, Macros, Power Query
- Interactive Data Presentation: Custom Charts, KPI Metrics
Description
Credit Control & Debt Management with Application of Advanced Excel
By the end of this 10-day comprehensive course, participants will be able to:- Understand Credit Control Fundamentals – Gain an in-depth understanding of credit control policies, procedures, and their role in financial management.
- Analyze Credit Risk Effectively – Apply financial analysis techniques to assess creditworthiness using key financial ratios and risk assessment models.
- Develop Efficient Credit Management Strategies – Learn how to implement credit approval processes, monitor accounts receivable, and create effective collection strategies.
- Enhance Debt Recovery Techniques – Identify the best debt collection strategies, legal considerations, and negotiation techniques to improve recovery rates.
- Utilize Advanced Excel for Credit Control – Apply Excel functions, formulas, pivot tables, Power Query, and VBA to analyze credit data, automate reports, and create dashboards.
- Build Credit Scoring Models – Use statistical tools in Excel to develop credit scorecards, risk ratings, and predictive models for loan default risks.
- Perform Accounts Receivable Aging Analysis – Track overdue payments, analyze customer credit behavior, and develop aging reports using Excel.
- Optimize Cash Flow Management – Forecast cash flows, assess working capital needs, and create automated credit control reports to improve liquidity management.
- Implement Fraud Detection Measures – Identify credit fraud risks using anomaly detection techniques, data validation, and automated Excel-based fraud alerts.
- Develop Interactive Credit Portfolio Reports – Design professional dashboards, reports, and presentations for senior management using Power BI, Power Pivot, and Macros.
- Automate Credit Control Processes – Leverage Excel VBA, macros, and dynamic reporting tools to streamline debt collection, customer notifications, and credit monitoring.
- Apply Real-World Credit Management Best Practices – Solve case studies, industry-specific scenarios, and practical exercises to enhance problem-solving skills in credit and debt management.
By mastering these skills, participants will increase efficiency, reduce credit risks, and enhance financial decision-making in their organizations. 🚀
General Notes
GENERAL NOTES
i. The clients have many options on where they would wish to have the training
ii. The client should communicate their preferred training venue at least seven days before the training date failure to which the training shall take place in Nairobi.
iii. This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
iii. Training manuals and additional reference materials are provided to the participants.
iv. Upon successful completion of this course, participants will be issued with a Chania finance consultancy certificate.
v. The onsite training fee covers tuition fees, training materials, tea at 10am, lunch, tea at 4pm, training venue and a certificate on completion. Accommodation and travel may be arranged for our participants upon request.
vi. The online training fee covers tuition fees, training materials, and a certificate on completion.
Available at the following Venues
- Nairobi
- Mombasa
- Nakuru
- Naivasha
- Kisumu
- Nanyuki
- Thika
- Machakos
- Zoom
- Google Teams
- Google Meet
- Webex
Choose the date you would like to take the course
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