Course Introduction
Treasury Data Analytics and Cash Flow Intelligence Training Course provides a practical framework for using data analytics to strengthen cash visibility, liquidity planning, working-capital management, funding decisions, and financial risk management. The course helps treasury professionals move from manually prepared spreadsheets and periodic reporting toward integrated, data-driven intelligence that explains cash movements, forecasts future liquidity requirements, identifies funding pressures, and supports timely financial decisions. Cash-flow information is particularly important because it helps users assess an entity’s ability to generate cash and cash equivalents and understand the timing and certainty of future cash flows.
The program develops practical skills for extracting, cleaning, integrating, and analyzing treasury data from enterprise resource planning systems, general ledgers, bank accounts, accounts receivable, accounts payable, payroll, procurement, debt-management systems, investment portfolios, foreign-exchange platforms, and budgeting applications. Participants learn how to create reliable cash datasets, reconcile bank and accounting information, standardize transaction classifications, identify data-quality issues, and establish repeatable analytical workflows. Power Query is particularly relevant because it provides data acquisition and transformation capabilities that can support extract, transform, and load processes across multiple financial data sources.
A major focus is cash-flow intelligence and forecasting. Participants learn to distinguish historical cash-flow reporting from forward-looking treasury forecasting and to develop daily, weekly, monthly, and rolling cash forecasts. The course examines receipts, payments, collections, supplier obligations, payroll, tax payments, capital expenditure, debt service, interest, investments, foreign-exchange settlements, and other liquidity drivers. Participants also learn how to investigate forecast-versus-actual differences and improve forecast accuracy by identifying systematic timing errors, unreliable assumptions, changing business conditions, and recurring working-capital patterns.
The course provides a detailed treatment of liquidity and working-capital analytics. Participants analyze cash conversion cycles, receivables collections, payable behavior, inventory-related cash requirements, overdue balances, payment terms, supplier concentration, customer concentration, and operational cash drivers. They learn how to connect accounting and operational information to treasury outcomes, enabling treasury teams to understand why cash balances change rather than simply reporting the resulting balance. This supports more informed decisions about liquidity buffers, short-term investments, borrowing, payment timing, collections priorities, and working-capital interventions.
The program also addresses financial risk analytics, including interest-rate exposure, foreign-exchange exposure, debt maturity profiles, counterparty exposure, investment positions, covenant monitoring, and liquidity stress scenarios. Participants learn how to construct analytical indicators and scenarios that help treasury teams understand the potential impact of market movements, funding requirements, delayed collections, unexpected payments, refinancing needs, and adverse business conditions. The course connects these analytical outputs to treasury policies, risk limits, control requirements, and management reporting so that analytics can support both operational treasury activities and strategic financial decisions.
By the end of the course, participants will be able to build an integrated treasury data analytics and cash-flow intelligence framework that supports liquidity visibility, cash forecasting, working-capital management, funding analysis, financial risk monitoring, and executive decision-making. Participants will also develop interactive treasury dashboards using analytical models and financial measures. DAX supports advanced calculations and queries across related tables and columns in tabular models, making it suitable for creating dynamic treasury measures and analytical views. The final capstone brings these capabilities together into a practical treasury intelligence solution covering cash positions, forecasts, liquidity risks, working-capital drivers, funding exposures, and management-level insights.
Duration
5 days
Who Should Attend
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Treasury professionals responsible for daily cash management, liquidity planning, and treasury reporting.
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Treasury managers seeking advanced data analytics capabilities for cash forecasting and financial decision-making.
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Cash managers responsible for bank balances, cash positioning, payment planning, and liquidity visibility.
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Corporate finance professionals involved in liquidity, funding, working capital, and financial risk analysis.
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Financial controllers seeking stronger integration between accounting information and treasury cash-flow intelligence.
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FP&A professionals responsible for cash-flow forecasting, budgeting, financial modeling, and scenario analysis.
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Working-capital professionals analyzing receivables, payables, inventory, collections, and payment-cycle performance.
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Financial analysts supporting cash forecasting, funding analysis, investment decisions, and management reporting.
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Risk professionals analyzing liquidity risk, foreign-exchange exposure, interest-rate risk, and counterparty exposure.
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Banking and financial-services professionals involved in treasury analytics, liquidity management, and financial reporting.
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Data analysts supporting finance and treasury functions with financial models, dashboards, and analytical reporting.
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Finance transformation professionals implementing treasury data integration, automation, business intelligence, and analytical reporting.
Course Objectives
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Develop a comprehensive understanding of treasury data analytics and cash-flow intelligence and their role in liquidity, funding, risk, and financial decision-making.
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Build reliable treasury datasets by extracting, cleaning, transforming, reconciling, and integrating banking, accounting, operational, and financial-market information.
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Analyze historical cash flows to identify operating, investing, financing, working-capital, seasonal, and exceptional drivers of cash movement.
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Develop accurate short-term and medium-term cash-flow forecasts using transaction-level data, business assumptions, historical trends, and scenario-based techniques.
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Analyze working-capital performance and identify receivables, payables, inventory, collection, payment, and operational factors affecting organizational liquidity.
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Create analytical measures and dashboards for cash positions, liquidity buffers, forecast accuracy, funding requirements, debt exposures, and treasury performance.
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Apply data analytics to foreign-exchange, interest-rate, investment, counterparty, debt maturity, and liquidity risk monitoring.
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Perform cash-flow variance analysis that explains differences between forecast and actual results and identifies opportunities to improve forecasting reliability.
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Develop liquidity stress-testing and scenario-analysis techniques for evaluating delayed receipts, unexpected payments, funding constraints, market movements, and business disruptions.
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Design an integrated treasury intelligence solution that provides timely, accurate, actionable information for treasury teams, finance leadership, and executive management.
Comprehensive Course Outline
Module 1: Treasury Data Analytics and Cash Flow Intelligence Foundations
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Understanding the role of treasury analytics in cash management, liquidity planning, funding, financial risk management, working capital, and strategic financial decision-making.
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Examining treasury data structures including bank accounts, cash pools, currencies, legal entities, business units, transaction types, value dates, settlement dates, and financial instruments.
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Understanding cash and cash equivalents and the classification of cash flows into operating, investing, and financing activities under IAS 7.
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Establishing a treasury intelligence framework connecting financial transactions, cash drivers, analytical measures, liquidity indicators, forecasts, risks, and management decisions.
Module 2: Treasury Data Integration, Preparation and Reconciliation
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Extracting data from banking platforms, ERP systems, general ledgers, accounts receivable, accounts payable, payroll, procurement, debt systems, investment platforms, and spreadsheets.
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Applying data transformation techniques to standardize currencies, dates, bank identifiers, transaction descriptions, account classifications, entities, counterparties, and cash-flow categories.
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Performing data-quality checks for missing transactions, duplicate records, inconsistent classifications, incomplete periods, unexpected values, and reconciliation differences.
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Building repeatable treasury data-preparation workflows using Power Query to connect, combine, transform, and prepare financial information for analysis.
Module 3: Historical Cash Flow and Liquidity Analytics
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Analyzing historical cash inflows and outflows to identify recurring, seasonal, exceptional, operational, investing, and financing patterns.
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Developing cash-flow bridges that explain movements between opening and closing cash balances across entities, currencies, bank accounts, and business units.
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Evaluating liquidity indicators including available cash, restricted cash, cash buffers, short-term obligations, net liquidity positions, and funding requirements.
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Investigating relationships between profitability, working capital, operating performance, and cash generation to identify the key drivers of treasury outcomes.
Module 4: Cash Flow Forecasting and Forecast Accuracy Analytics
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Developing daily, weekly, monthly, and rolling cash-flow forecasts using historical transactions, contractual obligations, expected receipts, planned payments, and business assumptions.
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Building forecast models for customer collections, supplier payments, payroll, taxes, capital expenditure, debt service, interest, investments, and other major treasury cash movements.
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Performing forecast-versus-actual analysis to identify timing differences, systematic forecast errors, missing assumptions, unexpected transactions, and changes in business behavior.
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Applying scenario analysis and sensitivity testing to evaluate alternative cash-flow outcomes under changing collection rates, payment schedules, sales volumes, costs, and financing conditions.
Module 5: Working Capital and Cash Conversion Intelligence
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Analyzing accounts receivable aging, collection performance, customer payment behavior, overdue balances, credit terms, and collection effectiveness as drivers of liquidity.
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Evaluating accounts payable, supplier payment patterns, contractual terms, payment timing, supplier concentration, and opportunities affecting short-term cash requirements.
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Connecting inventory levels, procurement activity, production requirements, sales demand, and inventory turnover to cash tied up in operating activities.
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Developing cash conversion cycle analytics that connect receivables, inventory, payables, operating cycles, and cash generation to actionable working-capital intelligence.
Module 6: Funding, Debt and Investment Analytics
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Analyzing debt portfolios by facility, lender, currency, maturity, interest rate, repayment profile, covenant, security, and utilization to understand funding exposure.
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Developing debt maturity and refinancing analytics that identify upcoming obligations, concentration points, refinancing requirements, and potential liquidity pressures.
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Analyzing short-term investments and surplus cash positions to evaluate maturity profiles, liquidity availability, returns, counterparty exposures, and cash requirements.
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Building funding and investment scenarios that assess alternative borrowing, repayment, refinancing, cash-buffer, and investment decisions under changing liquidity conditions.
Module 7: Foreign Exchange, Interest Rate and Counterparty Risk Analytics
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Developing foreign-exchange exposure analytics covering transaction exposures, currency balances, forecast cash flows, intercompany positions, and foreign-currency funding requirements.
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Analyzing interest-rate exposure across variable-rate debt, fixed-rate borrowing, investments, and other financial positions to identify sensitivity to market movements.
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Monitoring counterparty exposures across banks, customers, financial institutions, investment counterparties, and other treasury relationships using risk-based analytical measures.
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Creating treasury risk indicators, thresholds, exception reporting, and scenario analyses that help identify changes in market and counterparty exposure requiring management attention.
Module 8: Treasury Data Modeling, DAX and Advanced Analytics
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Designing treasury data models that connect cash transactions, bank accounts, dates, entities, currencies, counterparties, forecasts, actuals, debt, investments, and working-capital information.
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Developing DAX measures for cash balances, net cash movement, forecast accuracy, liquidity ratios, rolling cash positions, cash-flow trends, and period comparisons.
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Applying filter context, time intelligence, calculated measures, relationships, and analytical dimensions to create flexible treasury reporting and decision-support models.
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Using DAX query capabilities and analytical calculations to interrogate treasury models, test measures, analyze results, and support more advanced financial intelligence workflows.
Module 9: Treasury Dashboards, Liquidity Monitoring and Executive Reporting
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Designing treasury dashboards that provide visibility into bank balances, cash positions, forecast cash flows, liquidity buffers, working capital, debt, investments, and financial exposures.
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Developing key treasury performance indicators covering forecast accuracy, cash concentration, liquidity coverage, collection performance, payment timing, funding utilization, and risk exposures.
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Creating interactive analytical views that allow treasury teams to investigate cash movements by entity, bank, account, currency, counterparty, transaction type, business unit, and reporting period.
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Presenting treasury intelligence through executive dashboards that distinguish immediate liquidity concerns from structural cash-flow trends, emerging risks, operational exceptions, and strategic funding considerations.
Module 10: Capstone Treasury Data Analytics and Cash Flow Intelligence Project
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Building an end-to-end treasury analytics solution using bank transactions, accounting information, cash forecasts, working-capital data, debt schedules, investment positions, and financial risk information.
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Preparing and validating the treasury dataset, establishing analytical dimensions, developing cash-flow measures, and creating a reliable model for liquidity and cash intelligence.
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Performing cash forecasting, forecast-accuracy analysis, working-capital analytics, liquidity assessment, funding analysis, risk monitoring, and scenario testing using the integrated treasury dataset.
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Presenting a final treasury intelligence dashboard and management report that explains cash drivers, forecast movements, liquidity risks, funding requirements, working-capital opportunities, and key areas requiring management attention.
Training Approach
This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.
Tailor-Made Course
This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808
Training Venue
The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.
Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant
Certification
Participants will be issued with Upskill certificate upon completion of this course.
Airport Pickup and Accommodation
Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808
Terms of Payment:
Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.
