1. Database Architecture: Tables, Fields, and Records
Modern financial software stores information within structured relational databases. Data is organized into independent tables representing specific corporate entities (e.g., a “Customers” table, an “Invoices” table).
  • Fields (Columns): Define the specific attributes of the data (e.g., CustomerID, AccountBalance, InvoiceDate).
  • Records (Rows): Represent single, individual instances of data entry (e.g., a specific invoice matching a single transaction event).

2. Relational Integrity: Primary Keys and Foreign Keys
To maintain data structure and prevent corruption, databases rely on strict integrity rules:
  • Primary Key: A unique field identifier assigned to every single row in a specific table. A primary key can never be empty or repeated (e.g., InvoiceID in an Invoices table).
  • Foreign Key: A field in one table that links directly to the primary key of a separate table, creating a relational bridge between them (e.g., placing CustomerID inside the Invoices table to link each invoice to a specific customer record).

3. SQL (Structured Query Language) Extraction Basics
Finance professionals must know how to bypass basic dashboards and extract data directly from core databases using SQL to audit and evaluate entries.
Fundamental SQL Syntax
  • SELECT: Defines the specific columns/fields to extract.
  • FROM: Defines the source table hosting the data.
  • WHERE: Applies analytical filters to extract only records that match specific conditions.
  • GROUP BY: Aggregates records to perform summary calculations (e.g., summing totals by department).

Analytical Query Example
To find all transactions from the sales database exceeding €50,000 executed during the fourth quarter of 2025:
sql
SELECT InvoiceID, CustomerID, InvoiceAmount, InvoiceDate
FROM Sales_Table
WHERE InvoiceAmount > 50000 
  AND InvoiceDate BETWEEN '2025-10-01' AND '2025-12-31'
ORDER BY InvoiceAmount DESC;
 
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