Group Category: Use Case
Product Category: Database Design & Development
Sub Category: PostgreSQL
Apply your SQL skills on real-world regulatory datasets to do the analysis of finance professionals.
Business Overview:
Explore workforce dynamics and organizational patterns in the financial sector with Employment and Organizational Analysis. Designed for data analysts, regulatory teams, and financial institutions, this SQL-based guide offers use cases rooted in real-world employment scenarios. With a PostgreSQL-compatible database of 13 interconnected tables, you'll write practical SQL queries to uncover employer reach, job stability, organizational complexity, and geographic presence—key insights for compliance, planning, and operational evaluation.
Product Highlights:
- A structured PDF guide featuring 5 SQL-driven use cases
- Real-world business scenarios focused on employment and organizational trends
- Clear learning objectives tied to each SQL query challenge
- Compatible with PostgreSQL relational databases
- Great for portfolios, data analytics practice, or compliance-based decision-making
Learning Outcome:
By completing these use cases, you’ll gain skills in:
- Writing complex SQL queries using JOINs, GROUP BY, and conditional filters
- Analyzing organizational structures and geographic data
- Identifying top employers and workforce concentration
- Tracking employment duration and multi-employer profiles for regulatory insight
This raw data file contains identity details of financial professionals.
- Includes fields like names, suffixes, registration status, and source file tags.
- Powers multiple use cases around data quality, professional profiling, and completeness analysis.
- Serves as a base table for connecting to employment and organizational records.
This dataset lists branch locations of financial firms, including details such as branch IDs, firm associations, and geographic information.
- Supports analysis of organizational spread and branch-level insights.
- Useful for identifying firms with multiple branches and regional footprints.
- Enables geolocation-based compliance or operational reviews.
This file contains current employer records of financial professionals.
- Includes employer names, IDs, and other relevant details.
- Useful for identifying major employers and linking professionals to firms.
- Supports insights into market concentration and active organizational structures.
This dataset holds detailed employment history for financial professionals.
- Includes start/end dates, firm names, and position information.
- Enables tracking of career paths, tenure, and job stability metrics.
- Ideal for analyzing professional experience trends across the industry.
$2.00 $1.25 37% OFF
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