Regulatory Compliance and Risk Assessment
Group Category: Use Case
Product Category: Database Design & Development
Sub Category: PostgreSQL
Uncover hidden compliance risks and regulatory blind spots with expert-level SQL analytics.
Business Overview:
Advanced Compliance and Risk Analytics for Financial Professionals is designed for experienced analysts, auditors, and risk professionals aiming to develop precision-focused SQL skills in the financial regulatory space. This product offers real-world, high-stakes scenarios like detecting disciplinary red flags, evaluating regulatory authority reach, and analyzing risk indicators within structured PostgreSQL data. Tailored for audit teams, compliance leaders, and data-driven regulators, these use cases help you move beyond basic reporting into predictive and preventative compliance analytics—ideal for building enterprise-grade monitoring tools or enhancing your professional toolkit.
Product Highlights:
- Expert-level PDF guide featuring 4 advanced SQL use cases focused on risk and compliance
- Includes 4 output screenshots to validate your query results
- Built on a realistic, normalized PostgreSQL dataset covering regulatory, disciplinary, and exam data
- Emphasizes real-world applications like identifying compliance gaps and constructing risk flags
- Designed for risk managers, compliance analysts, auditors, and regulatory technologists
Learning Outcomes:
By completing these advanced SQL use cases, you will:
- Develop audit-ready dashboards using SQL for regulatory oversight
- Map gaps in authority coverage and assess compliance concentration risks
- Track registration changes to anticipate regulatory issues before they surface
- Build risk heatmaps using disciplinary records and activity logs
- Correlate exam history with compliance behavior for predictive analysis and early intervention
current_employers_raw
| CSVDescription:
This CSV captures the employment history of financial professionals across firms and time periods. It facilitates tracking of career trajectories, employer affiliations, and workforce movement trends.
- Includes employer names, employment start/end dates, and position titles
- Enables SQL queries to analyze hiring patterns, employment gaps, and firm-level affiliations
- Useful for career progression mapping, attrition risk modeling, and employer concentration analysis
- Supports background checks and HR due diligence workflows
- Complements registration and certification datasets for holistic professional profiling
current_registrations_raw
| CSVDescription:
This CSV details the current regulatory registrations of professionals, reflecting their active affiliations with financial authorities and oversight bodies. It serves as a core resource for compliance validation and registration lifecycle analysis.
- Contains registration categories, authority names, and status indicators
- Enables SQL-based analysis of regulatory compliance distribution and registration transitions
- Useful for monitoring registration lapses, expired affiliations, and compliance gaps
- Supports audit readiness and credential verification processes
- Complements designation and disciplinary datasets for full-spectrum regulatory review
disciplinary_records_raw
| CSVDescription:
This CSV documents formal disciplinary actions taken against professionals, aiding in the identification of compliance risks and enforcement history within the financial sector.
- Includes disciplinary flags, action types, issue dates, and case references
- Enables correlation of misconduct history with registration or employment data via SQL joins
- Useful for risk profiling, incident trend analysis, and flag-based compliance scoring
- Supports investigative processes and regulatory reporting frameworks
- Complements examination and employment data for holistic risk analysis
exams_raw
| CSVDescription:
This CSV contains data on certification and qualification exams taken by professionals, enabling performance tracking and compliance readiness assessments.
- Contains exam types, dates, scores, and pass/fail indicators
- Enables SQL queries on examination trends, qualification timing, and score distribution
- Useful for skill validation, onboarding readiness, and certification path mapping
- Supports linkage with disciplinary data to identify exam-performance-related risks
- Complements registration and designation analysis for full credential lifecycle tracking
individuals_raw
| CSVDescription:
This CSV provides core personal and identification details of financial professionals, forming the foundation for multi-table relational analysis across registration, employment, and exam datasets.
- Includes individual IDs, names, gender, and geographic data
- Enables entity resolution across multiple regulatory datasets using unique identifiers
- Useful for demographic segmentation, regional distribution analysis, and trend mapping
- Supports cross-linking to compliance, certification, and disciplinary records
- Complements risk dashboards and regulatory oversight systems for profiling
Use Case Document
| PDFDescription:
This PDF outlines a structured approach to analyzing financial regulatory compliance using multi-table datasets. It offers SQL-based use cases for detecting compliance gaps, registration trends, and disciplinary risk profiles.
- Contains defined use cases with objectives, skills used, and expected outcomes
- Guides analysts on employing JOINs, aggregation, and filtering in compliance analysis
- Useful for training, audit preparation, and building compliance monitoring dashboards
- Supports institutional readiness for regulatory reviews and oversight processes
- Complements the full raw dataset suite for end-to-end compliance analytics
$2.00 $1.50 25% OFF
About this Dataset:
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