Advanced Tax Administration and Government Revenue Management Training Course

Course Introduction

Advanced tax administration and government revenue management are critical to fiscal sustainability, effective public service delivery, and the capacity of governments to finance national priorities. Strong revenue systems must generate predictable resources while maintaining fairness, transparency, compliance, and taxpayer confidence. This course provides advanced practical knowledge for strengthening tax administration, improving revenue performance, managing compliance risks, and supporting sustainable government resource mobilization.

Modern tax administration requires coordinated systems for taxpayer registration, assessment, filing, payment, verification, audit, collection, dispute resolution, enforcement, and taxpayer services. Participants will examine how these functions interact and how administrative weaknesses can affect revenue performance. The programme focuses on practical approaches for improving compliance, reducing leakage, strengthening collection, simplifying processes, and creating more responsive and efficient revenue institutions.

Government revenue management extends beyond tax collection to include forecasting, revenue analysis, non-tax revenues, fees, charges, dividends, royalties, grants, and other public income streams. Participants will explore techniques for developing realistic revenue projections, analyzing collection trends, identifying revenue gaps, assessing collection risks, and improving coordination between revenue authorities, treasury, finance ministries, and other public institutions. Emphasis is placed on connecting revenue performance with broader fiscal and budget-management objectives.

The course also examines contemporary approaches to taxpayer compliance and risk management. Participants will learn how to segment taxpayers, identify high-risk behaviours, prioritize compliance interventions, strengthen audit selection, manage arrears, and improve voluntary compliance. The programme considers how behavioral insights, data analytics, information exchange, digital services, and risk-based enforcement can improve revenue outcomes without creating unnecessary burdens for compliant taxpayers.

Digital transformation is rapidly changing tax and revenue administration. Electronic filing, digital payments, integrated taxpayer databases, automated assessments, data matching, artificial intelligence, predictive analytics, and real-time reporting can significantly improve administrative efficiency and revenue intelligence. Participants will explore these developments while addressing data governance, privacy, cybersecurity, system interoperability, transparency, algorithmic accountability, and responsible use of advanced technologies.

By the end of the programme, participants will be able to assess tax-administration performance, strengthen compliance systems, improve revenue forecasting, manage collection risks, analyze revenue gaps, and develop practical revenue-enhancement strategies. They will also gain skills for improving taxpayer services and institutional coordination. The course supports stronger domestic resource mobilization, improved revenue predictability, enhanced compliance, administrative efficiency, and sustainable government financing.

Duration

5 days

Who Should Attend

• Senior government officials responsible for tax policy, tax administration, domestic revenue mobilization, and public financial management.

• Revenue authority executives responsible for tax collection, compliance management, taxpayer services, enforcement, and institutional performance.

• Tax administration directors responsible for assessment, audit, collection, registration, filing, payment systems, and taxpayer compliance.

• Government finance and treasury officials responsible for revenue forecasting, fiscal planning, cash management, and government resource mobilization.

• Revenue policy officers responsible for analyzing tax performance, revenue options, fiscal implications, and government financing requirements.

• Tax compliance managers responsible for taxpayer risk assessment, audit programmes, enforcement, arrears management, and voluntary compliance.

• Tax audit professionals responsible for risk-based audit selection, verification, investigations, assessments, and revenue recovery.

• Revenue forecasting and economic analysts responsible for revenue projections, trend analysis, fiscal scenarios, and revenue-gap assessment.

• Taxpayer service managers responsible for improving registration, filing, payment, communication, accessibility, and taxpayer experience.

• Digital transformation professionals working on electronic tax systems, data analytics, digital payments, automation, and revenue technology.

• Internal auditors and risk professionals responsible for assessing revenue controls, compliance risks, collection processes, and institutional governance.

• Emerging public-sector leaders seeking advanced expertise in tax administration, revenue management, compliance, forecasting, and domestic resource mobilization.

Course Objectives

• Develop participants’ advanced understanding of tax administration, government revenue management, domestic resource mobilization, compliance, collection, and fiscal sustainability.

• Enable participants to assess tax-administration systems covering registration, assessment, filing, payment, audit, collection, dispute resolution, enforcement, and taxpayer services.

• Strengthen participants’ ability to identify revenue gaps, compliance risks, collection weaknesses, administrative inefficiencies, and opportunities for sustainable revenue improvement.

• Equip participants with advanced techniques for revenue forecasting using historical collections, economic indicators, taxpayer trends, policy changes, and fiscal scenarios.

• Improve participants’ ability to design risk-based taxpayer compliance strategies using segmentation, data analysis, behavioral insights, audit selection, and targeted enforcement.

• Develop participants’ capacity to strengthen tax arrears management, debt collection, payment compliance, enforcement processes, and recovery of outstanding government revenues.

• Enable participants to evaluate non-tax revenue sources, including fees, charges, royalties, dividends, licenses, and other government income streams.

• Strengthen participants’ ability to improve taxpayer services through simplification, digital channels, responsive communication, accessibility, transparency, and service-quality management.

• Build advanced competence in electronic tax administration, integrated revenue systems, data analytics, predictive models, automation, artificial intelligence, and digital payment technologies.

• Prepare participants to develop comprehensive revenue-management improvement strategies that strengthen collection, compliance, taxpayer trust, administrative efficiency, transparency, and fiscal resilience.

Comprehensive Course Outline

Module 1: Advanced Tax Administration and Revenue Governance

• Principles, objectives, institutional structures, governance arrangements, and strategic functions of modern tax administration and government revenue management.

• Understanding relationships among tax policy, tax administration, taxpayer compliance, revenue collection, fiscal policy, budgeting, and public expenditure priorities.

• Assessing revenue-administration performance through collection efficiency, compliance levels, administrative costs, service quality, revenue gaps, and institutional capacity.

• Emerging issues involving fiscal pressures, economic volatility, digital commerce, changing taxpayer behaviour, international taxation, and evolving revenue models.

Module 2: Taxpayer Registration, Filing and Revenue Collection

• Designing effective taxpayer registration systems that establish accurate taxpayer identities, classifications, obligations, records, and ongoing compliance information.

• Strengthening filing, assessment, payment, refund, reconciliation, and collection processes to reduce administrative friction and improve revenue predictability.

• Identifying registration gaps, filing non-compliance, payment delays, inaccurate declarations, refund risks, and administrative bottlenecks affecting collection.

• Emerging practices involving digital identity, electronic filing, mobile payments, automated assessments, real-time reporting, and integrated taxpayer platforms.

Module 3: Tax Compliance Risk Management

• Applying taxpayer segmentation and risk classification to identify compliance risks according to behaviour, transaction patterns, sector characteristics, and historical performance.

• Developing risk-based compliance strategies that prioritize audits, verification, education, enforcement, and service interventions according to assessed taxpayer risk.

• Using behavioural insights and targeted communication to encourage voluntary compliance while maintaining proportionate enforcement for persistent non-compliance.

• Emerging compliance technologies involving predictive risk scoring, machine learning, network analysis, AI-supported compliance intelligence, and automated risk alerts.

Module 4: Tax Audit, Verification and Enforcement

• Designing risk-based tax audit programmes covering case selection, verification, documentation, assessments, investigations, appeals, and post-audit monitoring.

• Strengthening enforcement processes for non-filing, under-reporting, false declarations, payment default, fraudulent claims, and other forms of tax non-compliance.

• Balancing enforcement effectiveness with taxpayer rights, procedural fairness, transparency, proportionality, and consistent administrative treatment.

• Emerging audit practices involving advanced data matching, digital audit trails, electronic records, automated anomaly detection, and AI-assisted audit selection.

Module 5: Revenue Forecasting and Fiscal Analysis

• Developing government revenue forecasts using historical collection trends, macroeconomic indicators, taxpayer behaviour, policy assumptions, and administrative performance.

• Applying trend analysis, elasticity analysis, scenario planning, sensitivity analysis, and alternative assumptions to improve revenue forecast reliability.

• Identifying revenue gaps and assessing the potential effects of compliance improvements, policy changes, economic conditions, and administrative reforms.

• Emerging forecasting methods involving predictive analytics, machine learning, high-frequency data, real-time revenue intelligence, and AI-supported fiscal modelling.

Module 6: Tax Arrears and Revenue Debt Management

• Analyzing tax arrears portfolios by age, taxpayer category, amount, collectability, risk, legal status, and underlying causes of payment failure.

• Developing differentiated arrears-management strategies involving reminders, payment arrangements, enforcement, recovery actions, write-off procedures, and risk-based prioritization.

• Establishing performance indicators for collection effectiveness, arrears reduction, recovery rates, enforcement outcomes, and administrative costs.

• Emerging debt-management approaches involving predictive collection models, automated reminders, digital payment arrangements, behavioural analytics, and intelligent recovery prioritization.

Module 7: Non-Tax Revenue and Government Resource Mobilization

• Identifying and managing non-tax revenue sources including fees, charges, licenses, royalties, dividends, fines, service payments, and government asset-related income.

• Assessing the sustainability, efficiency, fairness, and administrative costs associated with different government revenue streams and collection mechanisms.

• Developing integrated revenue strategies that balance tax income, non-tax revenue, economic growth, taxpayer capacity, service delivery, and fiscal sustainability.

• Emerging revenue opportunities involving digital services, public assets, natural resources, environmental charges, data-related services, and innovative public financing mechanisms.

Module 8: Taxpayer Service, Trust and Administrative Responsiveness

• Designing taxpayer services that improve registration, filing, payment, information access, communication, complaint handling, dispute resolution, and administrative accessibility.

• Applying service-quality principles to reduce compliance costs, simplify tax processes, improve taxpayer experience, and strengthen voluntary compliance.

• Building taxpayer trust through transparency, consistency, fairness, confidentiality, timely communication, accessible services, and predictable administrative procedures.

• Emerging service models involving digital tax portals, mobile services, virtual assistance, AI-supported taxpayer communication, personalized services, and omnichannel support.

Module 9: Digital Revenue Administration and Data Intelligence

• Using integrated tax systems, revenue-management platforms, electronic filing, digital payments, dashboards, data warehouses, and business intelligence for revenue administration.

• Applying data analytics to taxpayer behaviour, collection trends, compliance risks, arrears, audits, refunds, revenue gaps, and administrative performance.

• Establishing revenue data governance covering data quality, privacy, cybersecurity, interoperability, access management, auditability, information sharing, and responsible data use.

• Emerging technologies involving artificial intelligence, predictive compliance analytics, automated assessments, real-time transaction reporting, intelligent revenue assistants, and advanced data matching.

Module 10: Strategic Revenue Management and Continuous Improvement

• Integrating tax administration, revenue forecasting, compliance management, taxpayer services, expenditure requirements, fiscal policy, and long-term resource mobilization.

• Developing revenue-improvement strategies addressing compliance gaps, administrative inefficiencies, collection weaknesses, arrears, forecasting errors, and taxpayer-service challenges.

• Establishing performance-management frameworks using revenue indicators, collection targets, compliance measures, service standards, risk indicators, and continuous institutional review.

• Future trends involving AI-enabled tax administration, predictive revenue intelligence, automated compliance, digital economies, real-time taxation, international information exchange, and adaptive revenue systems.

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.