Finance Dimension 01 Dim

Created by Robert Cross, Modified on Wed, 9 Jul, 2025 at 7:51 AM by Robert Cross

Finance Dimension 01 Dim

This dimension serves as a key component in the financial data warehouse, representing critical financial categorizations used for reporting and analysis. It consolidates key identifiers, company information, descriptive labels, hierarchy levels, modification timestamps, and deletion status for financial dimension elements, enabling comprehensive financial data management and tracking across the organization.

Output Column	Database Logic	Description
Finance Dimension 01 Key	Unique identifier key for each record in the Finance Dimension 01 data set.	This is the unique key assigned to each financial dimension record, ensuring each entry can be individually identified for accurate financial reporting.
Company	Identifier for the company associated with the financial dimension record.	Specifies which company the financial dimension data belongs to, facilitating organization-level financial analysis.
Finance Dimension 01	The code or reference value representing the financial dimension entry.	Represents the main financial categorization code used to group and classify transactions within the finance data.
Finance Dimension 01 Description	Descriptive text providing details about the financial dimension code.	Provides a human-readable explanation of the financial dimension code, aiding understanding and communication across stakeholders.
Level	Indicates the hierarchy level of the financial dimension element.	Shows the position of the financial dimension within a hierarchical structure, which helps in drilling down or rolling up financial data.
Last Modified Datetime	Timestamp indicating the last update made to the financial dimension record.	Records when the financial dimension entry was last changed, assisting in maintaining data currency and auditing.
Deleted	Flag indicating if the financial dimension record has been marked as deleted.	Marks whether a financial dimension record is active or has been logically removed, which is important for data integrity and historical tracking.