SAP ERP raw tables

2. Understanding Field Purposes:

To comprehend the purpose of each field:

• Data Elements: Each field in a table is associated with a data element, which provides semantic meaning. By examining the data element (found in the ROLLNAME field of DD03L), you can refer to DD04T to obtain descriptions and gain insights into the field’s purpose.

3. Implementing Data Sensitivity Classification:

SAP provides mechanisms to classify data based on sensitivity:

• Data Protection Workbench: This tool allows you to identify and classify personal data within your SAP system. By navigating to the Data Protection tab, you can assign sensitivity levels to various data entities. 

• Custom Classification: For fields not covered by standard classifications, you can implement custom classifications by:

• Reviewing field descriptions and data elements to assess the nature of the data.

• Collaborating with business process owners to determine the sensitivity of specific data points.

• Utilizing SAP Information Lifecycle Management (ILM) to define and enforce data retention and protection policies.

4. External Resources and Tools:

Several external resources can aid in understanding SAP table structures and data classifications:

• SAP Community Discussions: Engage with the SAP community to explore discussions on extracting table structures and field information. 

• Third-Party Documentation: Websites like SAP Tables provide descriptions for SAP’s ERP systems, which can be instrumental in understanding table and field purposes. 

5. Considerations:

• Access Permissions: Ensure you have the necessary authorizations to access and extract metadata from the SAP system.

• Data Security: Handle extracted metadata with care, especially if it includes sensitive information, to maintain compliance with data protection regulations.

By following these steps, you can systematically compile a list of SAP ERP tables and columns, understand their purposes, and classify their sensitivity to bolster data security and compliance efforts.

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SAP ERP List of Finance tables

SAP ERP provides a variety of tables in its Finance (FI) module to manage and analyze financial transactions. These tables store data for general ledger (G/L), accounts payable (AP), accounts receivable (AR), asset accounting (AA), and controlling (CO). Below is a categorized list of important tables in the SAP FI module:

1. General Ledger (G/L) Accounting Tables

Table Name Description

BKPF Document Header Table (stores metadata for financial documents like date, type, user, etc.)

BSEG Document Line Items Table (stores transactional line items for G/L, AR, AP, etc.)

SKA1 G/L Account Master (Chart of Accounts)

SKB1 G/L Account Master (Company Code Level)

BSIS G/L Open Items

BSAS G/L Cleared Items

2. Accounts Payable (AP) Tables

Table Name Description

LFA1 Vendor Master (General Data)

LFB1 Vendor Master (Company Code Level)

LFC1 Vendor Transaction Figures

BSAK Cleared Vendor Items

BSIK Open Vendor Items

PAYR Payment Document Information

3. Accounts Receivable (AR) Tables

Table Name Description

KNA1 Customer Master (General Data)

KNB1 Customer Master (Company Code Level)

KNKK Customer Credit Management Data

DPSHP Customer Payment History

BSID Open Customer Items

BSAD Cleared Customer Items

4. Asset Accounting (AA) Tables

Table Name Description

ANLA Asset Master Record

ANLB Asset Master Record (Depreciation Areas)

ANLC Asset Values

ANEA Asset Line Items

ANEP Asset Line Items (Depreciation)

ANKA Asset Classes

5. Controlling (CO) Tables

Table Name Description

COEP Controlling Document Line Items

COSS Cost Totals for Cost Centers

CSKS Cost Center Master Data

CSKT Cost Center Descriptions

COSP Cost Totals for Internal Orders

AUFK Internal Orders Master Data

6. Financial Reporting Tables

Table Name Description

GLT0 G/L Account Balances

GLPCA Profit Center Accounting Line Items

FAGLFLEXA General Ledger (New) - Line Items

FAGLFLEXT General Ledger (New) - Totals

FAGLFLEXP General Ledger (New) - Planning

7. Tax Tables

Table Name Description

T001 Company Codes

T007A Tax Codes

T007S Tax Rates

BSET Tax Data Document Segment

8. Bank Accounting Tables

Table Name Description

BNKA Bank Master Data

FEBKO Bank Statement Header Data

FEBEP Bank Statement Line Items

PAYR Payment Data

9. Integration with Other Modules

Table Name Description

EKBE Goods Receipt/Invoice Receipt (MM Integration)

COBK Controlling Documents

RBKP Invoice Document Header (MM Integration)

BKPF Cross-Module Financial Document Header

Example Use Cases with Tables

1. View Open Customer Invoices:

• Tables: BSID, KNA1, KNB1

2. Analyze G/L Account Balances:

• Tables: GLT0, SKA1, SKB1

3. Track Vendor Payments:

• Tables: LFA1, BSIK, BSAK, PAYR

4. Asset Depreciation Analysis:

• Tables: ANLC, ANEP, ANEA

5. Cost Center Reporting:

• Tables: CSKS, CSKT, COSS

Let me know if you need specific queries, table relationships, or schema diagrams!

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SAP ERP Supply chain and logistics tables

SAP ERP contains a wide range of tables for managing Supply Chain Management (SCM) and Inventory Management (IM) processes. Here’s a categorized list of the most commonly used tables in these modules:

1. Supply Chain Management Tables

Master Data Tables

1. Material Master (MM):

• MARA: General data about materials.

• MARC: Plant-specific material data.

• MARD: Storage location-specific stock data.

• MAKT: Material descriptions.

• MBEW: Material valuation data.

2. Vendor Master:

• LFA1: General vendor master data.

• LFB1: Vendor data specific to company codes.

• LFM1: Vendor data for purchasing organizations.

3. Customer Master:

• KNA1: General customer master data.

• KNVV: Sales area-specific customer data.

• KNVP: Partner functions for customers.

4. Bill of Materials (BOM):

• STKO: BOM header.

• STPO: BOM items.

5. Work Centers:

• CRHD: Work center header.

• CRCO: Assignment of work centers to cost centers.

Transaction Tables

1. Sales and Operations Planning (SOP):

• PGMI: Planning data for SOP.

• PGAN: Assignments in SOP.

2. Production Planning (PP):

• AFKO: Order header data for production orders.

• AFPO: Order item data for production orders.

3. Demand Planning:

• PBIM: Independent requirements by material.

• PBED: Planned requirements for materials.

4. Purchasing:

• EKKO: Purchasing document header (e.g., purchase orders).

• EKPO: Purchasing document items.

5. Supply Chain Execution:

• LIPS: Delivery document items.

• LIKP: Delivery document headers.

2. Inventory Management Tables

Stock Management

1. Stocks and Quantities:

• MKPF: Material document header.

• MSEG: Material document items (e.g., goods movement).

• MBEWH: Historical stock valuation.

2. Warehouse Management:

• LAGP: Storage bins.

• LQUA: Quants (specific stock quantities in bins).

• LTAP: Transfer order items.

• LTAK: Transfer order headers.

3. Batch Management:

• MCHB: Batch stocks.

• MCHA: Batch data.

• MCH1: Batch data for materials.

Physical Inventory

1. Physical Inventory Documents:

• ISEG: Physical inventory document items.

• IKPF: Physical inventory document header.

Goods Movements

1. Movement Types:

• T156: Movement type definitions.

• T157D: Stock type changes during movement.

2. Goods Issue/Receipt:

• RESB: Reservation items for goods movements.

• RKPF: Reservation headers.

3. Integration and Reporting Tables

SCM Reporting and Analytics

1. Logistics Information System (LIS):

• S001 - S999: Various structures for logistics reporting.

• MCBE: Inventory data for material movements.

2. Inventory Analytics:

• MCWBE: Historical stock data for warehouse reporting.

• MVER: Material consumption data for MRP.

Integration with Other Modules

1. Integration with Finance (FI):

• BKPF: Accounting document header (for goods movements).

• BSEG: Accounting document items.

2. Integration with Sales (SD):

• VBAP: Sales order items.

• VBEP: Schedule lines for sales documents.

Common Queries and Use Cases

1. Track Inventory Levels by Plant:

• Tables: MARD (storage location stock), MBEW (valuation).

• Query: “What is the current stock quantity for material X in plant Y?”

2. Analyze Purchase Orders by Vendor:

• Tables: EKKO, EKPO.

• Query: “What are the total purchase orders placed with vendor Z in 2024?”

3. Monitor Goods Movements:

• Tables: MKPF, MSEG.

• Query: “List all goods receipts for material A in warehouse W.”

4. Warehouse Performance Reporting:

• Tables: LQUA, LTAP, MCBE.

• Query: “What is the total number of items moved between bins in Q4 2024?”

Need Further Assistance?

Would you like detailed table relationships, an ER diagram, or SQL queries for specific use cases in SCM or Inventory?

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Data Governance - Oracle vs SAP

 Both Oracle ERP (including E-Business Suite) and SAP ERP offer functionalities to support data governance practices within their respective ecosystems. Here's a breakdown of their approaches:

Oracle ERP Data Governance:

Strengths:

• Integration with Oracle Tools: Oracle offers separate products like OEDMb (data lineage, impact analysis, data quality) and EDG (data security, discovery) that integrate well with Oracle ERP.
• Focus on Data Quality: OEDMb's data quality management functionalities provide tools to identify and address data quality issues within Oracle ERP.
• Data Lineage Tracking: OEDMb helps track the origin and flow of data through Oracle ERP, facilitating impact analysis for data changes.

Weaknesses:

• Fragmented Approach: Data governance functionalities are spread across different Oracle products, requiring separate licenses and potentially complex integration.
• Limited Out-of-the-Box Functionality: Oracle ERP itself offers limited built-in data governance tools compared to SAP ERP. Organizations need to rely heavily on additional Oracle products.

SAP ERP Data Governance:

Strengths:

• Integrated Approach: SAP offers more built-in data governance functionalities within its core SAP ERP platform, reducing reliance on separate products.
• Strong Data Stewardship Features: SAP provides tools and workflows for data ownership definition, data quality monitoring, and data change management processes.
• User-friendly Interfaces: SAP ERP data governance features often come with user-friendly interfaces designed for business users, not just technical specialists.

Weaknesses:

• Limited Data Lineage Tracking: While SAP offers data lineage capabilities, they might not be as comprehensive as Oracle's OEDMb solution.
• Potential Cost: SAP's built-in data governance features might be part of higher-tier licensing packages, potentially increasing costs for some businesses.

Here are some additional factors to consider when comparing the two:

• Existing Infrastructure: If you're already heavily invested in Oracle technology, leveraging Oracle's data governance tools might offer a smoother integration into your environment.
• Specific Needs: If data quality is a major concern, Oracle's focus on this aspect might be advantageous. However, if user-friendliness and data stewardship features are priorities, SAP might be a better choice.
• Budget: Compare the costs of licensing additional Oracle products like OEDMb and EDG versus the potential cost of higher-tier SAP ERP packages that include data governance features.

Ultimately, the best choice depends on your specific data governance needs, existing infrastructure, and budget constraints. Both Oracle and SAP offer viable solutions, but careful evaluation is necessary to determine the most suitable option for your organization.