Oracle fusion erp raw tables

Oracle Fusion Financials utilizes a comprehensive set of tables to manage and store financial data across its various modules. Below is an overview of key tables associated with each financial module:

General Ledger (GL):

• GL_LEDGERS: Stores information about the ledgers defined in the system.

• GL_CODE_COMBINATIONS: Contains the chart of accounts and segment values.

• GL_JE_HEADERS: Holds journal entry header information.

• GL_JE_LINES: Contains journal entry line details.

Accounts Payable (AP):

• AP_INVOICES_ALL: Stores supplier invoice information.

• AP_SUPPLIERS: Contains supplier details and contact information.

• AP_PAYMENTS_ALL: Records payments made to suppliers.

• AP_PAYMENT_SCHEDULES_ALL: Manages payment schedule information.

Accounts Receivable (AR):

• AR_INVOICES_ALL: Stores customer invoice information.

• AR_CUSTOMERS: Contains customer details and contact information.

• AR_PAYMENTS_ALL: Records payments received from customers.

• AR_PAYMENT_SCHEDULES_ALL: Manages payment schedule information.

Cash Management (CM):

• CE_BANK_ACCOUNTS: Stores bank account information.

• CE_STATEMENTS: Contains bank statement details.

• CE_RECONCILIATION_HEADERS: Manages bank reconciliation header information.

Fixed Assets (FA):

• FA_ASSET_HISTORY: Records asset transaction history.

• FA_ADDITIONS_B: Contains information about newly added assets.

• FA_BOOKS: Stores asset book information.

• FA_DEPRN_DETAIL: Manages asset depreciation details.

Expense Management (EM):

• EXM_EXPENSE_REPORTS: Stores employee expense report information.

• EXM_EXPENSE_ITEMS: Contains individual expense item details.

• EXM_EXPENSE_APPROVERS: Manages expense report approver information.

For a comprehensive and detailed list of all tables, including their descriptions and relationships, it is recommended to consult the official Oracle Fusion Cloud Financials documentation. Oracle provides extensive resources that detail the tables and views for each module, which can be accessed through their official documentation. 

Additionally, the Oracle community forums and customer connect discussions can be valuable resources for specific inquiries and shared experiences related to Oracle Fusion Financials tables. 

Please note that access to certain tables and data may require appropriate permissions within your Oracle Fusion Financials implementation.

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Oracle Fusion Financials comprises numerous tables across its modules, each containing various columns that store specific data. Understanding the purpose and sensitivity of these columns is crucial for effective data management and compliance. Below is an overview of key tables, their columns, purposes, and data sensitivity considerations:

General Ledger (GL):

1. GL_JE_HEADERS: Stores journal entry header information.

• Columns:

• JE_HEADER_ID: Primary key for journal entries.

• JE_BATCH_ID: Identifier linking to the journal batch.

• STATUS: Indicates the approval status of the journal entry.

• Sensitivity: Generally low; however, the STATUS column may indicate internal financial processes.

2. GL_JE_LINES: Contains detailed journal entry line information.

• Columns:

• JE_LINE_ID: Primary key for journal entry lines.

• ACCOUNTED_DR: Debit amount in the accounted currency.

• ACCOUNTED_CR: Credit amount in the accounted currency.

• Sensitivity: Medium; financial amounts should be protected to prevent unauthorized access.

Accounts Payable (AP):

1. AP_INVOICES_ALL: Stores supplier invoice information.

• Columns:

• INVOICE_ID: Primary key for invoices.

• VENDOR_ID: Identifier for the supplier.

• INVOICE_AMOUNT: Total amount of the invoice.

• Sensitivity: High; contains financial transaction details and supplier information.

2. AP_SUPPLIERS: Contains supplier details.

• Columns:

• SUPPLIER_ID: Primary key for suppliers.

• SUPPLIER_NAME: Name of the supplier.

• TAXPAYER_ID: Supplier’s tax identification number.

• Sensitivity: High; includes personally identifiable information (PII) such as tax IDs.

Accounts Receivable (AR):

1. AR_INVOICES_ALL: Stores customer invoice information.

• Columns:

• INVOICE_ID: Primary key for customer invoices.

• CUSTOMER_ID: Identifier for the customer.

• INVOICE_AMOUNT: Total amount billed to the customer.

• Sensitivity: High; contains financial transaction details and customer information.

2. AR_CUSTOMERS: Contains customer details.

• Columns:

• CUSTOMER_ID: Primary key for customers.

• CUSTOMER_NAME: Name of the customer.

• CONTACT_NUMBER: Customer’s contact information.

• Sensitivity: High; includes PII such as contact details.

Data Sensitivity and Security Measures:

Oracle Fusion Applications implement several measures to protect sensitive data:

• Masking and Encryption: Sensitive fields in application user interfaces are masked to prevent unauthorized viewing. Encryption APIs are utilized to protect data during transmission and storage. 

• Data Classification: Oracle Data Safe provides predefined sensitive types categorized under Identification Information, Financial Information, and more. This classification aids in identifying and securing sensitive columns. 

• Data Masking: In non-production environments, data masking techniques are applied to scramble sensitive data, ensuring that it is not exposed during development or testing phases. 

For a comprehensive understanding of table structures, columns, and their purposes, consulting the official Oracle Fusion Financials documentation is recommended. This resource provides detailed descriptions of tables and columns, aiding in effective data management and security implementation. 

By leveraging these resources and implementing robust data security measures, organizations can ensure the confidentiality and integrity of their financial data within Oracle Fusion Financials.

Implementation of data governance in bc phased approach

Implementing data governance during an Oracle Fusion migration is crucial to ensure data quality, security, and compliance. Here’s a phased approach recommended for establishing effective data governance, helping an organization build a robust framework that supports Fusion applications while minimizing risks.

1. Assessment and Planning Phase

• Objective: Understand the organization’s current data governance maturity, define goals, and create a project roadmap.

• Key Activities:

• Conduct a data governance maturity assessment to identify existing gaps.

• Establish a governance framework, defining roles, responsibilities, and data ownership.

• Define data governance objectives, success metrics, and timelines.

• Formulate a steering committee with executive sponsorship to guide data governance policies.

• Outcome: A comprehensive data governance roadmap aligned with business goals and regulatory requirements.

2. Data Inventory and Classification Phase

• Objective: Identify, catalog, and classify all data assets across legacy systems to understand data sources, criticality, and compliance needs.

• Key Activities:

• Conduct a data inventory across departments, focusing on critical data for Oracle Fusion.

• Classify data based on sensitivity, importance, and usage.

• Establish data lineage documentation, tracking data flow from source systems to Oracle Fusion.

• Outcome: A clear data inventory and classification structure that supports compliance and security requirements for the migration.

3. Data Quality and Standardization Phase

• Objective: Establish standards and controls to ensure data quality and consistency during migration.

• Key Activities:

• Develop data quality standards, including accuracy, completeness, and consistency.

• Implement data cleansing and validation routines to resolve data issues in legacy systems.

• Standardize data formats and naming conventions across sources to ensure compatibility with Oracle Fusion.

• Outcome: Improved data quality and standardized data formats ready for migration.

4. Data Security and Compliance Phase

• Objective: Implement data security policies and compliance measures tailored for Oracle Fusion.

• Key Activities:

• Define data access controls and user roles based on Oracle Fusion’s Role-Based Access Control (RBAC) framework.

• Establish data masking, encryption, and logging practices to secure sensitive data.

• Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA).

• Outcome: A secure data governance structure that safeguards data integrity and privacy.

5. Data Migration and Integration Phase

• Objective: Execute data migration with minimal disruption while preserving data integrity and continuity.

• Key Activities:

• Map source data to Oracle Fusion’s data model, documenting transformations and mappings.

• Conduct migration tests and validations to ensure data integrity post-migration.

• Address any discrepancies or data governance issues that emerge during testing.

• Outcome: Successfully migrated data that aligns with governance and quality standards.

6. Monitoring and Maintenance Phase

• Objective: Establish ongoing monitoring and maintenance practices to enforce data governance post-migration.

• Key Activities:

• Implement data monitoring and auditing processes to track quality and usage.

• Regularly review and update data governance policies, adapting to changes in Oracle Fusion or business needs.

• Schedule periodic data governance audits and quality assessments to ensure long-term compliance.

• Outcome: Continuous data governance framework that supports data quality, compliance, and security over time.

7. User Training and Change Management Phase

• Objective: Ensure end-users and data stewards are equipped to follow governance practices in Oracle Fusion.

• Key Activities:

• Conduct training sessions on data governance policies, roles, and security protocols.

• Develop user guides, SOPs, and knowledge resources for ongoing reference.

• Implement change management practices to foster adherence to governance standards.

• Outcome: An informed workforce that understands and follows data governance practices in the Oracle Fusion environment.

Recommended Governance Controls by Oracle Fusion

Oracle recommends implementing data governance controls as part of a best-practice framework, which includes:

• Role-Based Access Control (RBAC): Define and enforce user roles and data access restrictions to protect sensitive data.

• Data Quality Management: Establish automated data validation and exception handling to maintain consistent data quality.

• Data Lifecycle Management: Implement policies for data retention, archival, and deletion, adhering to regulatory compliance needs.

• Audit and Monitoring: Use Oracle Fusion’s built-in audit trails and monitoring tools to track data usage and detect anomalies.

Implementing these phases with a structured approach helps ensure a smooth transition to Oracle Fusion, aligning the data governance framework with the organization’s operational and compliance needs. This phased approach not only enhances data integrity but also sets a foundation for scalable and compliant data management practices.

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Oracle fusion security roles with example

In Oracle Fusion Cloud ERP, defining security roles, naming conventions, and using specific examples help to ensure clarity and consistency in user access and controls. Here’s an expanded look with naming conventions and examples across different security groups and controls:

1. Naming Conventions for Role-Based Access Control (RBAC)

Oracle Fusion suggests a clear and consistent naming convention to differentiate role types and to make role assignment more intuitive. Here are some typical conventions:

• Job Roles: Use descriptive names that match the user’s job function, often following this structure:

• “Job Role” + “Level” (if applicable): Examples include Accounts_Payable_Manager, Project_Manager, Financial_Analyst_Senior.

• Abstract Roles: Represent common roles across the organization regardless of specific duties. They typically have names like:

• “Employee” or “Contingent Worker”: Examples include Employee, Line_Manager, Contingent_Worker, HR_Specialist.

• Duty Roles: These are finer-grained and aligned with specific tasks or responsibilities within job roles:

• “Action” + “Object”: Examples include Invoice_Processing, Expense_Reporting, Cash_Management_View, Supplier_Account_Maintain.

• Data Roles: Job or duty roles combined with specific data security policies to limit access to certain data subsets.

• “Business Unit” + “Job Role”: Example could be US_Financials_Payables_Clerk, where the job role is restricted to US financial data.

2. Examples of Security Groups and Data Security Policies

• Security Groups: Group users based on organizational access needs, which simplifies role assignments.

• Example: Finance_Managers_Group for users needing access to finance-related functions and data or HR_Employees_Group for all HR team members.

• Data Security Policies: Policies restrict access to specific data within the system.

• For instance, a data security policy may allow an Accounts_Payable_Manager in the US to view invoices only for the North America business unit. Naming for these policies might follow:

• “Data Access” + “Region” + “Role”: Example is North_America_Accounts_Payable_Data_Access.

3. Example of Segregation of Duties (SoD) Setup

Oracle Fusion allows the creation of SoD policies that separate incompatible roles. For example, if a user has the Invoice_Creation duty, they should not have Invoice_Approval duties to avoid conflicts of interest.

Role Separation Example:

• Invoice_Creator: Can enter and edit invoices.

• Invoice_Approver: Can approve or reject invoices but cannot create or edit them.

4. Recommended Role Provisioning Rules

Provisioning rules automatically assign roles based on criteria like user attributes (e.g., department, location) and are critical in organizations with frequent role changes.

Example of Provisioning Rules:

• “Job Title” + “Department” → Role Assignment: If a new user joins as a “Financial Analyst” in the “Finance Department,” they could automatically receive the Financial_Analyst job role with data security policies relevant to their region or business unit.

• Rule Example: If Department = Finance AND Job_Title = Financial_Analyst → Assign Financial_Analyst Role.

5. Best Practices in Role Assignment and Access Control

• Minimal Access Principle: Assign users only the roles necessary for their job functions.

• Periodic Reviews: Conduct role and access audits to confirm that users have the appropriate level of access based on job responsibilities.

• Use Data Roles Carefully: Data roles can sometimes overlap or create excess access if not carefully managed. For example, a Global_Payables_Manager might unintentionally have access to multiple regional data segments if not set with specific data security policies.

Oracle provides detailed best practices and naming conventions in its documentation to ensure a scalable, secure access model. These conventions help maintain clear distinctions between roles, minimize errors, and enforce security best practices. For in-depth guidance, Oracle’s Security Guide for Oracle Fusion Cloud Applications is a recommended resource.

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Oracle fusion security controls

Oracle Fusion Cloud ERP employs a robust security framework designed to protect data and control access across multiple layers. Here’s a breakdown of the essential security groups and controls, as well as Oracle’s recommendations for end-user security assignments.

1. Role-Based Access Control (RBAC)

Oracle Fusion primarily uses RBAC, where access to data and functionalities is controlled by roles. These roles are divided into:

• Job Roles: Standard roles assigned to users based on their job function, such as Accounts Payable Specialist or Project Manager.

• Abstract Roles: Roles that define user types across the organization, like Employee or Line Manager, which are independent of specific tasks.

• Duty Roles: Fine-grained roles that correspond to specific job functions within an application (e.g., Invoice Processing).

• Data Roles: Job or duty roles combined with data security policies to restrict access to certain data subsets, such as specific business units or departments.

Oracle recommends combining job roles with appropriate data roles to limit users’ access to data as per their organizational scope.

2. Security Groups and Data Security Policies

Data security in Oracle Fusion is further strengthened by defining:

• Security Groups: Groups of users that have similar access needs, making it easier to assign roles and policies in bulk.

• Data Security Policies: Policies that restrict access to specific data (like geographic regions or departments) within a role. For example, a security policy may allow an Accounts Payable Manager to access only the invoices for a particular business unit.

Oracle suggests defining data security policies at the highest level possible, then narrowing access based on the organization’s needs.

3. Segregation of Duties (SoD)

To prevent unauthorized transactions and reduce risk, Oracle Fusion encourages implementing Segregation of Duties (SoD) controls. For instance, a user assigned the role of approving invoices should ideally not have access to create or edit them. SoD is managed by configuring duty roles and role hierarchies to ensure that users have only the permissions needed for their roles, with incompatible duties separated.

4. Recommended Security Controls for End-User Assignment

Oracle’s recommended security assignments for end users include:

• Role Provisioning Rules: Automated rules that assign appropriate roles based on user attributes (e.g., department or location).

• Minimal Access Principle: Oracle recommends assigning only essential roles for a user’s job functions. Excessive roles can lead to unnecessary risk.

• Periodical Review of Roles and Access Logs: Regular audits help ensure roles are appropriate and meet compliance standards.

5. Identity Management and Security Policies

Oracle Fusion supports integration with identity management systems for centralized user provisioning and de-provisioning. This allows IT teams to manage access based on user lifecycle events (e.g., onboarding, department transfer, or offboarding) efficiently.

Oracle’s security model emphasizes a layered approach, with role hierarchy, data-level policies, and periodic reviews to maintain a secure and compliant environment. For detailed guidance, Oracle provides the Oracle Fusion Security Guide, which contains best practices for configuring and managing these controls based on different business needs.

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