Sourcing Datasets for Audit Analytics

I need assistance in sourcing high-quality, industry-relevant datasets for internal audit data analytics, particularly within the finance industry, focusing on internal audit and risk management. The datasets should simulate real-world scenarios, showcasing cross-system integrations where data flows between systems- free to use, distribute, and modify without restrictions.
Key requirements: • Cross-system data flows to replicate real-world business processes. • Dataset size: Large enough to enable meaningful analytics but manageable for analysis, with enough data points to perform rule-based testing, fraud detection, anomaly detection, and machine learning.
Areas for datasets:
1. Customer Relationship Management:
o CRM Systems: Data related to customer interactions, such as sales pipelines, customer support, and service requests. Integration with workflow systems for task assignment and tracking. Ticketing system data for resolution tracking and escalation workflows.
o Eg: Salesforce, HubSpot, Microsoft Dynamics.
2. Financial Transactions:
o Financial Approval Systems: Approval workflow data for purchase orders, vendor payments, and authorisation processes.
o Execution Systems: Systems responsible for the actual execution of transactions (e.g., ERP systems for payments).
o Fund Transfer Systems: Bank transaction records, transfers between accounts, reconciliation, and intercompany fund transfers.
o Eg: SAP, Oracle Financials, QuickBooks.
3. Human Resources (HR):
o HR Management Systems: Payroll data, employee records, leave management, and performance evaluation data. Data on employee onboarding, compensation, benefits, and termination.
o Time Management Systems: Time tracking and attendance data, leave balance calculations.
o Eg: Workday
4. IT and Cybersecurity:
o Cybersecurity Systems: Network logs, firewall events, and data from security incident and event management (SIEM) systems. Incident response workflows, access control logs, and vulnerability management.
o IT Operations: Systems data related to IT asset management, software updates, and system performance monitoring.
o Examples: Splunk, Cisco Security, Palo Alto Networks, CrowdStrike, ServiceNow.
5. Operations and Workflow:
o Workflow Management Systems: Workflow and task management systems that track operational processes and task completion.
o Operations Data: Task tracking, issue resolution workflows, and operations performance metrics.
o Ticketing Systems: Data on incident management, service desk requests, and help desk tracking.
Eg.ServiceNow, JIRA, Monday.com.
6. Governance, Risk, and Compliance:
o GRC Systems: Risk assessment data, internal audit trails, and compliance monitoring. Data on policy enforcement, internal controls, and external regulatory compliance.
o Regulatory Reporting Systems: Data related to mandatory reporting, such as GDPR compliance, Sarbanes-Oxley (SOX) compliance, and financial reporting regulations.
o Eg. RSA Archer, MetricStream, IBM OpenPages, TeamMate.
7. Supply Chain Management:
o Procurement Systems: Data on vendor management, purchase orders, contract tracking, and supplier performance.
o Inventory Management Systems: Stock levels, reorder points, warehouse operations, and shipping data.
o Vendor Payment Systems: Data on vendor payments, reconciliation, and procurement-to-pay cycles.
o Eg.SAP Ariba, Oracle SCM, Coupa.
8. Trading and Portfolio Management Systems:
o Front Office:
 Trade Execution Data: Information on executed trades, including timestamps, volumes, prices, and counterparties.
 Market Data: Real-time or historical market prices for stocks, bonds, derivatives, etc.
 Portfolio Management: Data on holdings, asset allocation, and portfolio performance analytics.
 Order Management Systems: Buy/sell orders, amendments, and cancellations.
Eg. Aladdin
o Middle Office:
 Risk Monitoring: Risk exposure, Value at Risk (VaR), compliance with investment mandates, and stress testing data.
 Trade Settlement: Data on trade confirmation and settlement, including pending or failed trades.
 Regulatory Reporting: Compliance data for regulatory frameworks like MiFID II, EMIR.
o Back Office:
 Clearing & Settlement: Data related to clearing processes and settlement of transactions.
 Custody Data: Information on safekeeping of assets, including securities, corporate actions, and dividends.
 Reconciliation Data: Cash and securities reconciliation between systems, custodians, and brokers.
o Related Systems:
 Collateral Management: Data on margin calls and collateral allocation for derivatives.
 Cash Management: Data on cash flows, fund transfers, and account balances.
 FX Hedging: Currency hedging positions and exposures.
 Derivative Trading: Data on options, futures, swaps, and their valuations.
Deliverables:
• Well-documented, accurate & complete datasets in structured/CSV format for business areas mentioned above with clear explanations of how the systems connect and data flows.