Pensions and Retirement Training Course on Data Quality and Recordkeeping
Master Pensions Retirement Training with expert training. 10 Days course with certification. Comprehensive training program. Online & in-person. Enroll now!
Pensions And Retirement Courses10 DaysCertificate Included
Duration
10 Days
Mode
Online & Physical
Certificate
Included
Language
English
Course Overview
This intensive program provides participants with a structured understanding of the principles, processes, and technologies that underpin accurate, secure, and compliant pension data management. It focuses on establishing strong data governance frameworks, improving recordkeeping systems, ensuring regulatory compliance, and supporting decision-making through reliable data. The course emphasizes practical techniques for data validation, cleansing, migration, and integration, enabling participants to strengthen pension fund integrity and operational efficiency.
Secure enrollment • Professional certificate included
Learning Objectives
By the end of this course, participants will be able to:
Understand the role of data quality and recordkeeping in effective pension management.
Develop and implement pension data governance frameworks.
Conduct data quality audits and validation exercises.
Design data migration and integration strategies during system upgrades.
Apply best practices for data privacy, security, and regulatory compliance.
Improve reporting accuracy through consistent and well-maintained records.
Leverage technology and automation to enhance data integrity and efficiency.
Course Content
Module 1: Introduction to Data Management in Pension Administration Importance of accurate data in pension operations and funding Common data challenges in pension schemes Role of data in actuarial valuations, audits, and compliance Stakeholder responsibilities for maintaining data quality Case study: Data integrity failure and its impact on pension liabilities Module 2: Principles of Data Quality and Accuracy Dimensions of data quality: completeness, consistency, timeliness, accuracy, and validity Establishing data quality metrics and KPIs Identifying and resolving data discrepancies Data validation techniques and periodic verification cycles Exercise: Developing a pension data quality assessment framework Module 3: Data Governance Frameworks for Pension Funds Defining roles and accountability in pension data management Building data ownership and stewardship structures Policies and procedures for data governance and escalation Integration with overall pension fund governance structures Group exercise: Designing a pension data governance charter Module 4: Recordkeeping Standards and Compliance Regulatory and legal requirements for pension record retention Global standards for pension recordkeeping (ISO, GDPR, OECD principles) Documentation formats, metadata, and retention schedules Balancing data accessibility, security, and privacy Workshop: Creating a pension record retention and compliance matrix Module 5: Data Cleansing and Audit Techniques Identifying incomplete or inconsistent records Data cleansing methodologies and automation tools Conducting pension data audits for internal control Practical tools for ongoing data monitoring and error tracking Case study: Data cleansing project in a national pension scheme Module 6: Data Migration and System Integration Planning and executing pension data migration projects Managing data transfer between legacy and new systems Common pitfalls in data migration and how to avoid them Ensuring integrity through reconciliation and validation post-migration Workshop: Creating a migration checklist for pension data systems Module 7: IT Systems, Automation, and Digital Recordkeeping Role of technology in data management and recordkeeping Implementing pension administration systems (PAS) and CRM platforms Use of AI and machine learning in data validation and anomaly detection Cloud storage, digital signatures, and e-records management Demonstration: Using an automated pension data validation dashboard Module 8: Data Privacy, Security, and Cyber Risk Management Overview of data protection laws (GDPR, local privacy acts) Managing access controls, authentication, and encryption Cyber threats to pension databases and mitigation measures Incident response and data breach management protocols Exercise: Developing a pension data protection policy Module 9: Reporting, Analytics, and Decision Support Turning data into actionable insights for trustees and management Using dashboards and analytics for fund performance tracking Ensuring consistency in regulatory and financial reporting Key reports required by regulators, auditors, and actuaries Workshop: Building a pension data reporting and analytics template Module 10: Continuous Improvement and Future Trends Building a culture of data quality excellence in pension organizations Continuous monitoring and data lifecycle management Emerging technologies in pension data management (blockchain, AI, APIs) Future-proofing pension data systems for regulatory evolution Capstone exercise: Designing a complete pension data improvement plan
Who Should Attend
Pension Administrators, Data and IT Managers, Compliance Officers, Actuarial Analysts, Operations Managers, Auditors, Pension Fund Regulators, and Recordkeeping Specialists.
