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Your Accounts Receivable Data Template

SAP ECC

Accounts Receivable Attributes (23) Accounts Receivable Activities (14) Extraction Guides (3)

Your Accounts Receivable Data Template

This template offers a structured approach to mapping your financial workflows within SAP ECC by identifying essential data components. It provides a comprehensive list of process steps to monitor alongside the specific data fields required to gain full visibility into your collections cycle. By following this guide, you can ensure your event log captures the necessary details to drive efficiency and improve cash flow.

Process-specific attributes for financial analysis
Key milestones for accurate process discovery
Step-by-step extraction guidance for SAP ECC

New to event logs? Learn how to create a process mining event log.

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Accounts Receivable Attributes

These are the recommended data fields to include in your event log to ensure a comprehensive analysis of your accounts receivable process.

5 Required 10 Recommended 8 Optional

	Name	Description
	Activity Name ActivityName	The specific event or action performed in the process.
Description This attribute captures the name of the process step performed, such as 'Invoice Created', 'Payment Received', or 'Dispute Case Recorded'. It is derived from transaction codes, document types, or specific changes in the status of the accounting document. This data allows for the reconstruction of the process flow and the analysis of path variants. Why it matters It defines the event log structure necessary to visualize the process map and identify bottlenecks. Where to get Derived from TCODE in BKPF, Document Type in BLART, or Change Documents (CDHDR/CDPOS) Examples Invoice CreatedPayment ReceivedCredit Memo PostedDispute Case Opened
	Event Time EventTime	The specific timestamp when the activity occurred.
Description This attribute records the exact date and time when an activity took place in the system. For transactional data in SAP ECC, this is usually a combination of the Entry Date (CPUDT) and Entry Time (CPUTM). It provides the temporal dimension required to calculate cycle times, lead times, and duration between process steps. Why it matters Essential for all time-based analysis, including Days Sales Outstanding and process velocity. Where to get Table BKPF, Fields CPUDT (Date) and CPUTM (Time) Examples 2023-10-12T08:30:00Z2023-10-15T14:22:10Z2023-11-01T09:15:00Z
	Invoice Number InvoiceNumber	The unique identifier for the invoice or accounting document.
Description This attribute represents the primary key for the Accounts Receivable process. In SAP ECC, this is typically a concatenation of the Accounting Document Number (BELNR), the Company Code (BUKRS), and the Fiscal Year (GJAHR) to ensure uniqueness across the system. It serves as the central anchor for linking all subsequent activities, such as payments, disputes, and clearings, to the original financial obligation. Why it matters It is the Case ID required to track the end-to-end lifecycle of a receivable from creation to final clearing. Where to get Table BKPF, Field BELNR (often concatenated with BUKRS and GJAHR) Examples 140000023420231800003991202351000008822022
	Last Data Update LastDataUpdate	Timestamp of the most recent data extraction or refresh.
Description Indicates when the data was last synchronized from the SAP ECC source system to the process mining platform. This helps users understand the freshness of the analysis and potential latency in the dashboards. It is critical for validating that KPIs reflect the current state of the business. Why it matters Ensures users know how current the data in their dashboards is. Where to get Generated by the extraction tool (ETL timestamp) Examples 2023-11-25T00:00:00Z2023-11-25T06:00:00Z
	Source System SourceSystem	The name of the system where the data originated.
Description Identifies the specific SAP ECC instance or client from which the record was extracted. In multi-system landscapes, this attribute is crucial for segregating data and identifying system-specific process variations. It ensures data lineage and assists in troubleshooting integration issues. Why it matters Required for data governance and identifying the origin of records in multi-ERP environments. Where to get System configuration or hardcoded during extraction Examples SAP_ECC_P01SAP_ECC_QAERP_NA_01
	Amount in Local Currency AmountInLocalCurrency	The value of the line item in the company code currency.
Description Represents the financial value of the activity or document in the local ledger currency (DMBTR). This attribute is used to calculate the 'ActivityAmount' and is vital for prioritizing collections based on value. It allows the analysis to focus on high-value open items. Why it matters Essential for financial impact analysis and prioritizing high-value cases. Where to get Table BSEG, Field DMBTR Examples 1500.00230.5010000.00
	Clearing Date ClearingDate	The date when the invoice was cleared (paid or offset).
Description The date (AUGDT) on which the open item was cleared in the system. This is the definitive end timestamp for the collection process for a specific invoice. It is the primary component for calculating 'Average Days Sales Outstanding' and determining if a payment was late. Why it matters The fundamental timestamp for calculating DSO and payment speed. Where to get Table BSAD (Cleared Items), Field AUGDT Examples 2023-12-012023-11-15
	Company Code CompanyCode	The organizational unit for which the balance sheet is created.
Description Represents the specific legal entity or subsidiary within the enterprise structure. In SAP, this is the 'BUKRS' field. Analyzing data by Company Code allows for benchmarking performance across different business units, identifying which entities manage receivables most efficiently. Why it matters Critical for filtering dashboards by Business Unit and separating financial books. Where to get Table BKPF, Field BUKRS Examples 1000US01DE99
	Customer Account Group CustomerAccountGroup	Classifies customers into different segments.
Description The SAP Account Group (KTOKD) categorizes customers (e.g., Sold-to, Ship-to, Intercompany). This serves as the primary 'Customer Segment' mapping. It is essential for the 'Customer Segment Payment Trends' dashboard to compare how different types of customers adhere to payment terms. Why it matters The standard way to segment customers in SAP. Where to get Table KNA1, Field KTOKD Examples KUNA0001DEBI
	Customer Number CustomerNumber	Unique identifier for the customer account.
Description The unique ID assigned to the customer in the SAP system (KUNNR). This attribute enables the 'Collections Activity Performance' and 'Customer Segment Payment Trends' dashboards by aggregating process metrics at the customer level. It is essential for identifying high-risk clients. Why it matters Enables drill-down analysis into specific customer behaviors and payment trends. Where to get Table BSEG or BSID/BSAD, Field KUNNR Examples 000100293CUST-9921000550021
	Days Sales Outstanding DaysSalesOutstanding	The number of days taken to collect payment.
Description A calculated duration representing the time between the 'Invoice Created' event and the 'Invoice Cleared' event. This is the core metric for the 'Average Days Sales Outstanding' KPI. Analyzing this reveals the liquidity health of the organization. Why it matters The primary efficiency metric for Accounts Receivable. Where to get Calculated: ClearingDate - DocumentDate Examples 30 days45 days12 days
	Document Type DocumentType	Classifies the accounting document (e.g., Invoice, Payment, Credit Memo).
Description The SAP Document Type (BLART) distinguishes between different business transactions, such as a Customer Invoice (DR), Customer Payment (DZ), or Credit Memo (DG). This attribute is fundamental for defining the 'CaseType' and filtering specific process flows, such as analyzing the 'Credit Memo Rework Rate'. Why it matters Differentiates between invoices, payments, and adjustments in the data. Where to get Table BKPF, Field BLART Examples RVDZDGDR
	Is Automated IsAutomated	Flag indicating if the activity was performed automatically.
Description A boolean flag derived from the Transaction Code and User Name. For example, if the TCODE is 'F110' (Automatic Payment Run) or the User is a known system batch account, this is set to true. This attribute is directly required for the 'Automated Clearing Rate' KPI. Why it matters Crucial for measuring process efficiency and automation rates. Where to get Derived from TCODE and USNAM Examples truefalse
	Net Due Date NetDueDate	The calculated date by which the payment must be made.
Description This is the final deadline for payment. In SAP, this is often derived by taking the Baseline Date (ZFBDT) and adding the days from the Payment Terms (ZTERM). This attribute is critical for the 'Payment Term Adherence Rate' KPI, identifying which invoices are overdue. Why it matters The reference point for determining on-time vs. late payments. Where to get Derived from BSEG-ZFBDT and Payment Terms (T052 table logic) Examples 2023-12-302024-01-15
	User Name UserName	The ID of the user who performed the transaction.
Description Captures the SAP User ID (USNAM) associated with the creation or modification of the document. This attribute maps to 'User' and is used in the 'Dispute Resolution Efficiency' dashboard to track agent performance. It also helps distinguish between manual users and system accounts. Why it matters Enables performance analysis by team member and detection of automation. Where to get Table BKPF, Field USNAM Examples JSMITHBATCH_USERFIN_AP_01
	Billing City BillingCity	The city associated with the customer's billing address.
Description The city name (ORT01) from the customer master data. This supports the dashboard requirement to identify 'which customer segments or billing cities contribute most to high Days Sales Outstanding'. It allows for granular geographical analysis of payment behaviors. Why it matters Required specifically for the Invoice Cycle Time Analysis dashboard. Where to get Table KNA1, Field ORT01 Examples New YorkBerlinLondon
	Credit Control Area CreditControlArea	Organizational unit for credit management.
Description The Credit Control Area (KKBER) is used to set and monitor credit limits for customers. This attribute supports the 'Credit Limit and Rating Impact' analysis by grouping customers under their respective credit policies. It helps correlate credit risk settings with payment delays. Why it matters Key for analyzing credit risk and policy effectiveness. Where to get Table KNB1 or KNKK, Field KKBER Examples US01GLBLEU00
	Credit Rating CreditRating	The creditworthiness score of the customer.
Description The customer's credit rating (CTLPC or similar field in KNKK/FSCM). This attribute is required for the 'Credit Limit and Rating Impact' dashboard. It allows analysts to correlate the likelihood of disputes or late payments with the customer's risk profile. Why it matters Connects risk management data with operational performance. Where to get Table KNKK (Credit Management) or FSCM tables Examples A+High Risk500
	Customer Country CustomerCountry	The country code associated with the customer.
Description The geographic location of the customer (LAND1) retrieved from the customer master data. This attribute supports the 'Invoice Cycle Time Analysis' by allowing performance segmentation by region. It helps identify if specific countries have longer payment cycles due to local customs or banking delays. Why it matters Supports regional performance analysis and regulatory reporting. Where to get Table KNA1, Field LAND1 Examples USDEFR
	Dispute Case ID DisputeCaseId	Identifier for a dispute case linked to the invoice.
Description The unique identifier (CASE_GUID or External ID) from the SAP FSCM Dispute Management module. This attribute is strictly required for the 'Dispute Resolution Efficiency' dashboard. It links the financial document to the dispute workflow, allowing for the calculation of resolution times. Why it matters Connects the AR process to the Dispute Management sub-process. Where to get Table FDM_DCPROC or SCMG_T_CASE_ATTR (if FSCM is active) Examples DISP-000123100029384
	Is Late Payment IsLatePayment	Flag indicating if the payment was received after the due date.
Description A boolean flag calculated by comparing the Clearing Date against the Net Due Date. This attribute simplifies the 'Payment Term Adherence Rate' KPI calculation. It allows for quick filtering of non-compliant cases in the dashboard. Why it matters Quickly identifies process violations regarding payment terms. Where to get Calculated: ClearingDate > NetDueDate Examples truefalse
	Payment Terms PaymentTerms	Code representing the agreed conditions for payment.
Description The Payment Terms key (ZTERM) dictates the due date and any applicable discounts. Analyzing this attribute helps understand if 'Early Payment Discount Capture' issues are related to aggressive terms or process failures. It is a key dimension for financial compliance. Why it matters Defines the expected behavior and deadlines for the case. Where to get Table BSEG or KNB1, Field ZTERM Examples NT30ZB010001
	Transaction Code TransactionCode	The SAP T-Code used to execute the activity.
Description The specific transaction code (TCODE) used to post the document, such as 'FB01' (Post Document) or 'F110' (Automatic Payment). This attribute is the basis for the 'IsAutomated' calculation and the 'Cash Application Automation Tracker'. It reveals the method of entry. Why it matters Different T-Codes indicate different processing methods (manual vs auto). Where to get Table BKPF, Field TCODE Examples VF01F110FB70FEB_BSPROC

Required Recommended Optional

Accounts Receivable Activities

These process steps and milestones represent the essential activities to capture in your event log for accurate discovery of your financial workflows.

7 Recommended 7 Optional

	Activity	Description
	Accounting Document Created	The initial posting of the customer invoice into the financial accounting ledger. This sets up the open item in the Accounts Receivable subledger.
Why it matters Marks the official start of the financial liability and the aging clock for the customer invoice. Where to get Table BKPF (Header) and BSEG (Segment). Identify documents where Account Type (KOART) is 'D' (Customer). Use Entry Date (CPUDT) and Time (CPUTM). Capture Logged when transaction creates a record in BKPF Event type explicit
	Dispute Case Recorded	The tagging of an invoice line item with a reason code indicating a customer disagreement or query. This typically blocks the invoice for payment.
Why it matters Key for 'Dispute Resolution Efficiency'. Identifies why cash is held up and measuring the resolution cycle time. Where to get Changes to BSEG-RSTGR (Reason Code) or integration with SAP FSCM Dispute Management tables (UDM_CASE). Capture Compare status field before/after or FSCM log Event type inferred
	Invoice Cleared	The final reconciliation step where the open invoice and the payment are linked, and the open item status is removed. The process is now complete.
Why it matters Essential End event. Used to calculate the 'Automated Clearing Rate' and finalize the lifecycle. Where to get Table BSEG. Field 'AUGBL' (Clearing Document) and 'AUGDT' (Clearing Date) are populated for the invoice line item. Capture Logged when open item is cleared Event type explicit
	Invoice Dispatched	The transmission of the invoice document to the customer via print, email, or EDI. This activity marks when the customer actually receives the request for payment.
Why it matters Critical for calculating the 'Invoice Dispatch Lead Time' KPI. Delays here directly increase Days Sales Outstanding. Where to get Likely requires joining FI document to SD Billing Document (VBRK) and checking Output Control table (NAST) for successful processing status. Capture Correlate VBRK-VBNUM with output logs in NAST Event type inferred
	Partial Payment Posted	The receipt of a payment that covers only a portion of the total invoice amount. The invoice remains open with a residual balance.
Why it matters Critical for 'Partial Payment Impact Analysis'. Increases reconciliation complexity and cycle times. Where to get Table BSEG. Identify payment documents (Type DZ/KZ) that reference the invoice (REBZG) but do not fully clear it. Capture Logged when payment document is posted Event type explicit
	Payment Received	The posting of an incoming payment document that is intended to settle the invoice. This records the cash inflow in the ledger.
Why it matters The core event for 'Average Days Sales Outstanding'. Represents the financial realization of the sale. Where to get Table BKPF/BSEG. Document Type 'DZ' (Customer Payment) or 'KZ' (Vendor Payment for customers). Capture Logged when payment transaction is executed Event type explicit
	Payment Reminder Sent	The issuance of a dunning letter or payment reminder to the customer due to an overdue balance. Represents the collection team's proactive effort.
Why it matters Essential for the 'Collection Activity Performance' dashboard. High frequency suggests poor customer payment behavior. Where to get Table MHND (Dunning Data) and MHNK (Dunning Header). Records the date and dunning level of the notice. Capture Logged when Dunning Run (F150) is executed Event type explicit
	Bank Statement Matched	The automated matching of a line item on the electronic bank statement to a customer account. Represents the initial recognition of cash in the bank.
Why it matters Supports 'Cash Application Automation Tracker'. Indicates the efficiency of the electronic bank statement (EBS) processing. Where to get Table FEBEP (Electronic Bank Statement Line Items) and FEBA (Bank Statement Processing). Capture Logged when EBS is uploaded and processed Event type explicit
	Cash Discount Applied	The utilization of a payment discount term, reducing the final payment amount required. Occurs when payment is made within the discount window.
Why it matters Monitors 'Early Payment Discount Capture'. Helps validate if discounts are being taken legitimately or allowed incorrectly. Where to get Table BSEG. Field 'SKNTO' (Cash discount amount) is populated on the clearing line item. Capture Logged as field value in clearing document Event type explicit
	Clearing Reversed	The cancellation of a previously successful clearing action, reopening the invoice. This indicates an error in the initial cash application.
Why it matters Represents rework. Frequent reversals indicate problems with auto-cash rules or manual reconciliation training. Where to get Table BKPF. Identify documents where the Clearing Document was reset (using Transaction FBRA logic) or via Change Logs. Capture Logged when transaction FBRA is executed Event type explicit
	Credit Memo Posted	The issuance of a credit note to the customer, reducing the outstanding receivable balance. This usually corrects billing errors or processes returns.
Why it matters Feeds the 'Credit Memo Rework Rate' KPI. High volume indicates upstream quality issues in the sales or fulfillment process. Where to get Table BKPF/BSEG where Document Type is 'DG' (or custom Credit Memo type) referencing the original Invoice. Capture Logged when transaction creates credit doc in BKPF Event type explicit
	Payment Terms Changed	An update to the agreed-upon payment conditions, such as the due date or discount eligibility, after the invoice was posted. This often reflects a renegotiation or correction.
Why it matters Changes to payment terms skew aging analysis and can indicate master data errors or ad-hoc concessions. Where to get Change Document tables (CDHDR/CDPOS) linked to the Accounting Document (BSEG-ZTERM or BSEG-ZFBDT). Capture Logged when change document is written to CDHDR Event type explicit
	Promise to Pay Recorded	A commitment received from the customer to pay a specific amount by a specific date. This updates the cash forecast.
Why it matters Used in 'Collections Activity Performance'. Success rate of promises predicts short-term cash flow accuracy. Where to get SAP FSCM Collections Management tables (UDM_P2P) or inferred from text notes created by collection agents. Capture Logged in FSCM or text table STXH Event type explicit
	Write-off Posted	The classification of the invoice balance as uncollectible, removing it from receivables to bad debt expense. Used when collection fails.
Why it matters A negative termination of the process. Important for analyzing the root causes of revenue leakage. Where to get Table BSEG. Clearing document with a specific Document Type (e.g., 'AB') or Reason Code indicating write-off. Capture Derive from document type and GL account mapping Event type inferred

Recommended Optional

Extraction Guides

How to get your data from SAP ECC

Steps

Access transaction SQVI (QuickViewer) in your SAP ECC system.
Enter a name for your view (e.g., AR_EVENT_LOG) and click Create. Select Data Source as Table Join.
In the Join definition screen, insert the primary tables: BKPF (Accounting Document Header) and BSEG (Accounting Document Segment). Note that for cleared items, you might need to reference BSAD, but BSEG contains the master records for all line items.
Configure the join conditions by linking BKPF-BUKRS to BSEG-BUKRS, BKPF-BELNR to BSEG-BELNR, and BKPF-GJAHR to BSEG-GJAHR. This links the header information to the specific line items.
Navigate to the Field Selection tab. You must select the Invoice Number (BELNR), Company Code (BUKRS), Fiscal Year (GJAHR), and Account Type (KOART) to ensure you can filter for Customers (Type D).
Add fields required for the event log timestamps and attributes: Document Date (BLDAT), Posting Date (BUDAT), Entry Date (CPUDT), Clearing Date (AUGDT), and Amount (DMBTR).
For activity history like 'Payment Terms Changed', you would technically need to join the CDHDR and CDPOS tables, but this causes severe performance issues in SQVI. It is recommended to perform a separate extraction for change logs or use the ABAP report provided in the query section.
Save the QuickView and execute it.
On the selection screen, filter by Company Code and set Account Type (KOART) to D to restrict the output to Accounts Receivable data only.
Execute the report (F8) and verify the list output matches your expectations.
Export the data to a local file by selecting System, List, Save, Local File, and choosing Spreadsheet format.
Post-processing is required: The SQVI output is a flat file (one row per invoice). You must transform this into an event log format (one row per activity) using the logic described in the query section below.

Configuration

Data Source: Table Join (Inner Join recommended for Header to Item)
Primary Tables: BKPF (Header), BSEG (Item)
Key Filter: KOART (Account Type) = 'D' (Customer) to exclude Vendor or GL lines
Date Range: Filter on BKPF-CPUDT (Entry Date) for the last 3-6 months to capture recent process instances
Document Types: Filter BKPF-BLART for 'RV' (Billing Doc), 'DR' (Customer Invoice), 'DG' (Customer Credit Memo)
Performance: Joining BSEG (Cluster Table) can be slow; consider using BSID (Open Items) and BSAD (Cleared Items) if BSEG performance is prohibitive
Authorization: Requires authorization for transaction SQVI and S_TABU_DIS for table display

a Sample Query abap

REPORT Z_AR_PROCESS_MINING_EXTRACT.

* This ABAP logic represents the extraction required to build the event log.
* It simulates what the SQVI join produces plus the necessary transformations
* for the 14 required activities which SQVI cannot natively pivot.

TYPES: BEGIN OF ty_event_log,
         invoice_number TYPE belnr_d,
         activity_name  TYPE char50,
         event_time     TYPE timestamp,
         source_system  TYPE char10,
         amount         TYPE dmbtr,
         doc_type       TYPE blart,
         customer       TYPE kunnr,
       END OF ty_event_log.

DATA: lt_event_log TYPE STANDARD TABLE OF ty_event_log,
      ls_event     TYPE ty_event_log.

* 1. Activity: Accounting Document Created
* Source: BKPF (Header) and BSEG (Item)
SELECT b~belnr AS invoice_number,
       'Accounting Document Created' AS activity_name,
       b~cpudt AS event_date,
       b~cputm AS event_time,
       'SAP_ECC' AS source_system,
       s~dmbtr AS amount,
       b~blart AS doc_type,
       s~kunnr AS customer
  INTO CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM bkpf AS b
  INNER JOIN bseg AS s ON b~bukrs = s~bukrs AND b~belnr = s~belnr AND b~gjahr = s~gjahr
  WHERE s~koart = 'D'.

* 2. Activity: Invoice Dispatched
* Source: NAST (Message Control) linked to Invoice
SELECT b~belnr AS invoice_number,
       'Invoice Dispatched' AS activity_name,
       n~datvr AS event_date,
       n~uhrvr AS event_time,
       'SAP_ECC' AS source_system
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM nast AS n
  INNER JOIN bkpf AS b ON n~objky = b~awkey
  WHERE n~kappl = 'V3' AND n~nacha = '1'. " V3=Billing, 1=Print

* 3. Activity: Payment Terms Changed
* Source: CDHDR/CDPOS (Change Documents)
SELECT objectid AS invoice_number,
       'Payment Terms Changed' AS activity_name,
       udate AS event_date,
       utime AS event_time,
       'SAP_ECC' AS source_system
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM cdhdr
  WHERE objectclas = 'BELEG' AND tcode IN ('FB02', 'FB09').

* 4. Activity: Payment Reminder Sent
* Source: MHND (Dunning Data)
SELECT d~belnr AS invoice_number,
       'Payment Reminder Sent' AS activity_name,
       d~ausdt AS event_date,
       '000000' AS event_time,
       'SAP_ECC' AS source_system
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM mhnd AS d.

* 5. Activity: Dispute Case Recorded
* Source: SCMG_T_CASE_ATTR (FSCM Case Management)
* Note: Requires linking Case ID to Invoice via Case Link tables

* 6. Activity: Promise to Pay Recorded
* Source: UDM_P2P_ATTR (FSCM Promise to Pay)

* 7. Activity: Credit Memo Posted
* Source: BKPF/BSEG where Document Type implies Credit
SELECT b~belnr AS invoice_number,
       'Credit Memo Posted' AS activity_name,
       b~cpudt AS event_date,
       b~cputm AS event_time,
       'SAP_ECC' AS source_system
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM bkpf AS b
  INNER JOIN bseg AS s ON b~bukrs = s~bukrs AND b~belnr = s~belnr
  WHERE s~koart = 'D' AND b~blart = 'DG'.

* 8. Activity: Partial Payment Posted
* Source: BSEG checks for residual items logic

* 9. Activity: Bank Statement Matched
* Source: FEBEP (Electronic Bank Statement Line Items)
SELECT f~belnr AS invoice_number,
       'Bank Statement Matched' AS activity_name,
       f~valut AS event_date,
       '000000' AS event_time
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM febep AS f.

* 10. Activity: Payment Received
* Source: BKPF/BSEG of the clearing document
SELECT s~belnr AS invoice_number,
       'Payment Received' AS activity_name,
       b~cpudt AS event_date,
       b~cputm AS event_time
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM bkpf AS b
  INNER JOIN bseg AS s ON b~bukrs = s~bukrs AND b~belnr = s~belnr
  WHERE b~blart = 'DZ'.

* 11. Activity: Cash Discount Applied
* Source: BSEG-SKNTO (Cash Discount Amount)
SELECT belnr AS invoice_number,
       'Cash Discount Applied' AS activity_name,
       augdt AS event_date,
       '000000' AS event_time
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM bseg
  WHERE sknto > 0 AND koart = 'D'.

* 12. Activity: Invoice Cleared
* Source: BSAD (Cleared Items)
SELECT belnr AS invoice_number,
       'Invoice Cleared' AS activity_name,
       augdt AS event_date,
       '235959' AS event_time,
       'SAP_ECC' AS source_system
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM bsad
  WHERE augdt IS NOT INITIAL.

* 13. Activity: Clearing Reversed
* Source: BKPF-STBLG (Reversal Document Number)
SELECT stblg AS invoice_number,
       'Clearing Reversed' AS activity_name,
       cpudt AS event_date,
       cputm AS event_time
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM bkpf
  WHERE stblg IS NOT INITIAL.

* 14. Activity: Write-off Posted
* Source: BSEG-RSTGR (Reason Code)
SELECT belnr AS invoice_number,
       'Write-off Posted' AS activity_name,
       cpudt AS event_date,
       cputm AS event_time
  APPENDING CORRESPONDING FIELDS OF TABLE @lt_event_log
  FROM bseg
  WHERE rstgr IS NOT INITIAL AND koart = 'D'.

* Final Output would occur here (e.g., cl_salv_table)

Steps

Identify the Database Interface: Determine how you will execute SQL against your SAP ECC instance. This is typically done via SAP HANA Studio, DBACOCKPIT, or an external ETL tool connected via ODBC/JDBC.
Define the Scope: Identify the specific Company Codes (BUKRS) and the Fiscal Year range (GJAHR) you intend to analyze to prevent query timeouts.
Prepare the Query Environment: Ensure your user has read access to the following tables: BKPF, BSEG, CDHDR, CDPOS, MHND, NAST, FEBEP, FEBCL, and UDM_CASE_ATTR (if using FSCM).
Configure Parameters: In the SQL script provided, replace placeholders like 'YOUR_COMPANY_CODE' and date ranges with your actual values.
Execute the Extraction: Run the complete UNION ALL query. Due to the inclusion of the Change Document tables (CDHDR/CDPOS), this query may take significant time. It is recommended to run this during off-peak hours or in smaller batches by date.
Data Transformation: The output will be a raw event log. You may need to format the 'EventTime' column to 'YYYY-MM-DD HH:MM:SS' format depending on your database's default date string output.
Verify Data: Check the row counts and compare a specific Invoice Number against transaction FB03 in SAP to ensure history matches.
Export: Save the result set as a CSV file.
Import to ProcessMind: Map the columns 'InvoiceNumber', 'ActivityName', 'EventTime', and 'SourceSystem' to the respective fields in the process mining tool.

Configuration

Date Range: It is highly recommended to filter by 'BKPF.CPUDT' (Entry Date) to limit the scope to the last 6-12 months for performance.
Company Code (BUKRS): Always filter by specific company codes to avoid mixing logical system data.
Account Type (KOART): The query strictly filters for 'D' (Customers) to exclude vendor or G/L lines.
Change Log Performance: The sub-queries accessing CDPOS are performance-intensive. Ensure database indexes on OBJECTCLAS and OBJECTID are active.
FSCM Usage: The sections extracting Disputes and Promises to Pay assume the use of the SAP FSCM module. If not in use, these sections will return zero rows but will not fail.

a Sample Query sql

/* Activity 1: Accounting Document Created */
SELECT
    BSEG.BELNR AS InvoiceNumber,
    'Accounting Document Created' AS ActivityName,
    CAST(CONCAT(BKPF.CPUDT, ' ', BKPF.CPUTM) AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    BSEG.BUKRS AS CompanyCode,
    BSEG.KUNNR AS CustomerNumber,
    BKPF.BLART AS DocumentType,
    BSEG.DMBTR AS AmountInLocalCurrency,
    BKPF.USNAM AS UserName,
    BSEG.AUGDT AS ClearingDate,
    BSEG.ZFBDT AS NetDueDate,
    KNA1.KTOKD AS CustomerAccountGroup,
    CASE WHEN BKPF.TCODE = 'FB70' OR BKPF.TCODE = 'VF01' THEN '0' ELSE '1' END AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM BSEG
JOIN BKPF ON BSEG.MANDT = BKPF.MANDT AND BSEG.BUKRS = BKPF.BUKRS AND BSEG.BELNR = BKPF.BELNR AND BSEG.GJAHR = BKPF.GJAHR
LEFT JOIN KNA1 ON BSEG.MANDT = KNA1.MANDT AND BSEG.KUNNR = KNA1.KUNNR
WHERE BSEG.KOART = 'D' -- Customer Lines
  AND BKPF.BLART IN ('DR', 'RV') -- Standard Invoice Types
  AND BKPF.BUKRS = '[Your Company Code]'
  AND BKPF.CPUDT >= '[Start Date YYYYMMDD]'

UNION ALL

/* Activity 2: Invoice Dispatched (From Output Control NAST) */
SELECT
    NAST.OBJKY AS InvoiceNumber,
    'Invoice Dispatched' AS ActivityName,
    CAST(CONCAT(NAST.DATVR, ' ', NAST.UHRVR) AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    NAST.KAPPL AS CompanyCode,
    NAST.PARNR AS CustomerNumber,
    NAST.KSCHL AS DocumentType,
    NULL AS AmountInLocalCurrency,
    NAST.USNAM AS UserName,
    NULL AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '1' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM NAST
WHERE NAST.KAPPL = 'V3' -- Billing Application
  AND NAST.VSTAT = '1' -- Successfully processed
  AND NAST.OBJKY IN (SELECT DISTINCT BELNR FROM BSEG WHERE BUKRS = '[Your Company Code]')

UNION ALL

/* Activity 3: Payment Terms Changed (From Change Log) */
SELECT
    CDHDR.OBJECTID AS InvoiceNumber,
    'Payment Terms Changed' AS ActivityName,
    CAST(CONCAT(CDHDR.UDATE, ' ', CDHDR.UTIME) AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    NULL AS CompanyCode,
    NULL AS CustomerNumber,
    NULL AS DocumentType,
    NULL AS AmountInLocalCurrency,
    CDHDR.USERNAME AS UserName,
    NULL AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '0' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM CDHDR
JOIN CDPOS ON CDHDR.OBJECTCLAS = CDPOS.OBJECTCLAS AND CDHDR.OBJECTID = CDPOS.OBJECTID AND CDHDR.CHANGENR = CDPOS.CHANGENR
WHERE CDHDR.OBJECTCLAS = 'BELEG'
  AND CDPOS.TABNAME = 'BSEG'
  AND CDPOS.FNAME = 'ZTERM'

UNION ALL

/* Activity 4: Payment Reminder Sent (Dunning History) */
SELECT
    MHND.BELNR AS InvoiceNumber,
    'Payment Reminder Sent' AS ActivityName,
    CAST(CONCAT(MHND.LAUFD, ' ', '12:00:00') AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    MHND.BUKRS AS CompanyCode,
    MHND.KUNNR AS CustomerNumber,
    NULL AS DocumentType,
    NULL AS AmountInLocalCurrency,
    NULL AS UserName,
    NULL AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '1' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM MHND
WHERE MHND.KOART = 'D'
  AND MHND.BUKRS = '[Your Company Code]'

UNION ALL

/* Activity 5: Dispute Case Recorded (FSCM) */
SELECT
    CASE_ATTR.FIN_REF_DOC_NUMBER AS InvoiceNumber,
    'Dispute Case Recorded' AS ActivityName,
    CAST(CONCAT(CASE_ATTR.CREATE_TIME, '') AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    CASE_ATTR.V_BUKRS AS CompanyCode,
    CASE_ATTR.KUNNR AS CustomerNumber,
    CASE_ATTR.CASE_TYPE AS DocumentType,
    CASE_ATTR.DMBTR AS AmountInLocalCurrency,
    CASE_ATTR.CREATE_USER AS UserName,
    NULL AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '0' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM UDM_CASE_ATTR AS CASE_ATTR
WHERE CASE_ATTR.FIN_REF_DOC_NUMBER IS NOT NULL

UNION ALL

/* Activity 6: Promise to Pay Recorded (FSCM) */
SELECT
    P2P.BELNR AS InvoiceNumber,
    'Promise to Pay Recorded' AS ActivityName,
    CAST(CONCAT(P2P.P2P_DATE, ' ', '12:00:00') AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    P2P.BUKRS AS CompanyCode,
    P2P.KUNNR AS CustomerNumber,
    NULL AS DocumentType,
    P2P.PROM_AMT AS AmountInLocalCurrency,
    P2P.LAST_USER AS UserName,
    NULL AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '0' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM UDM_P2P_ATTR AS P2P
WHERE P2P.BUKRS = '[Your Company Code]'

UNION ALL

/* Activity 7: Credit Memo Posted */
SELECT
    BSEG.BELNR AS InvoiceNumber,
    'Credit Memo Posted' AS ActivityName,
    CAST(CONCAT(BKPF.CPUDT, ' ', BKPF.CPUTM) AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    BSEG.BUKRS AS CompanyCode,
    BSEG.KUNNR AS CustomerNumber,
    BKPF.BLART AS DocumentType,
    BSEG.DMBTR AS AmountInLocalCurrency,
    BKPF.USNAM AS UserName,
    NULL AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '0' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM BSEG
JOIN BKPF ON BSEG.MANDT = BKPF.MANDT AND BSEG.BUKRS = BKPF.BUKRS AND BSEG.BELNR = BKPF.BELNR AND BSEG.GJAHR = BKPF.GJAHR
WHERE BSEG.KOART = 'D'
  AND BKPF.BLART = 'DG' -- Standard Credit Memo Type
  AND BKPF.BUKRS = '[Your Company Code]'

UNION ALL

/* Activity 8: Partial Payment Posted */
SELECT
    BSEG.BELNR AS InvoiceNumber,
    'Partial Payment Posted' AS ActivityName,
    CAST(CONCAT(BKPF.CPUDT, ' ', BKPF.CPUTM) AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    BSEG.BUKRS AS CompanyCode,
    BSEG.KUNNR AS CustomerNumber,
    BKPF.BLART AS DocumentType,
    BSEG.DMBTR AS AmountInLocalCurrency,
    BKPF.USNAM AS UserName,
    NULL AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '0' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM BSEG
JOIN BKPF ON BSEG.MANDT = BKPF.MANDT AND BSEG.BUKRS = BKPF.BUKRS AND BSEG.BELNR = BKPF.BELNR AND BSEG.GJAHR = BKPF.GJAHR
WHERE BSEG.KOART = 'D'
  AND BKPF.BLART = 'DZ' -- Customer Payment
  AND BSEG.REBZG IS NOT NULL -- Links to original invoice (Residual item logic)
  AND BKPF.BUKRS = '[Your Company Code]'

UNION ALL

/* Activity 9: Bank Statement Matched */
SELECT
    FEBCL.BELNR AS InvoiceNumber,
    'Bank Statement Matched' AS ActivityName,
    CAST(CONCAT(FEBEP.E_DATUM, ' ', '12:00:00') AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    FEBEP.BUKRS AS CompanyCode,
    NULL AS CustomerNumber,
    NULL AS DocumentType,
    FEBEP.KWBE TR AS AmountInLocalCurrency,
    NULL AS UserName,
    NULL AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '1' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM FEBEP
JOIN FEBCL ON FEBEP.KUKEY = FEBCL.KUKEY AND FEBEP.ESNUM = FEBCL.ESNUM
WHERE FEBCL.KOART = 'D'
  AND FEBEP.BUKRS = '[Your Company Code]'

UNION ALL

/* Activity 10: Payment Received */
SELECT
    BSEG.BELNR AS InvoiceNumber,
    'Payment Received' AS ActivityName,
    CAST(CONCAT(PaymentDoc.CPUDT, ' ', PaymentDoc.CPUTM) AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    BSEG.BUKRS AS CompanyCode,
    BSEG.KUNNR AS CustomerNumber,
    PaymentDoc.BLART AS DocumentType,
    PaymentLine.DMBTR AS AmountInLocalCurrency,
    PaymentDoc.USNAM AS UserName,
    BSEG.AUGDT AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '0' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM BSEG
JOIN BKPF AS PaymentDoc ON BSEG.AUGBL = PaymentDoc.BELNR AND BSEG.BUKRS = PaymentDoc.BUKRS AND BSEG.GJAHR = PaymentDoc.GJAHR
JOIN BSEG AS PaymentLine ON PaymentDoc.BELNR = PaymentLine.BELNR AND PaymentDoc.BUKRS = PaymentLine.BUKRS AND PaymentLine.KOART = 'D'
WHERE BSEG.AUGDT IS NOT NULL
  AND BSEG.KOART = 'D'
  AND PaymentDoc.BLART IN ('DZ', 'ZP') -- Customer Payment Types
  AND BSEG.BUKRS = '[Your Company Code]'

UNION ALL

/* Activity 11: Cash Discount Applied */
SELECT
    BSEG.BELNR AS InvoiceNumber,
    'Cash Discount Applied' AS ActivityName,
    CAST(CONCAT(BSEG.AUGDT, ' ', '12:00:00') AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    BSEG.BUKRS AS CompanyCode,
    BSEG.KUNNR AS CustomerNumber,
    NULL AS DocumentType,
    BSEG.SKNTO AS AmountInLocalCurrency,
    NULL AS UserName,
    BSEG.AUGDT AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '1' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM BSEG
WHERE BSEG.KOART = 'D'
  AND BSEG.AUGDT IS NOT NULL
  AND BSEG.SKNTO > 0 -- Discount was taken
  AND BSEG.BUKRS = '[Your Company Code]'

UNION ALL

/* Activity 12: Invoice Cleared */
SELECT
    BSEG.BELNR AS InvoiceNumber,
    'Invoice Cleared' AS ActivityName,
    CAST(CONCAT(BSEG.AUGDT, ' ', '23:59:59') AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    BSEG.BUKRS AS CompanyCode,
    BSEG.KUNNR AS CustomerNumber,
    BKPF.BLART AS DocumentType,
    BSEG.DMBTR AS AmountInLocalCurrency,
    NULL AS UserName,
    BSEG.AUGDT AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '0' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM BSEG
JOIN BKPF ON BSEG.MANDT = BKPF.MANDT AND BSEG.BUKRS = BKPF.BUKRS AND BSEG.BELNR = BKPF.BELNR AND BSEG.GJAHR = BKPF.GJAHR
WHERE BSEG.KOART = 'D'
  AND BSEG.AUGDT IS NOT NULL
  AND BKPF.BUKRS = '[Your Company Code]'

UNION ALL

/* Activity 13: Clearing Reversed */
SELECT
    CDHDR.OBJECTID AS InvoiceNumber,
    'Clearing Reversed' AS ActivityName,
    CAST(CONCAT(CDHDR.UDATE, ' ', CDHDR.UTIME) AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    NULL AS CompanyCode,
    NULL AS CustomerNumber,
    NULL AS DocumentType,
    NULL AS AmountInLocalCurrency,
    CDHDR.USERNAME AS UserName,
    NULL AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '0' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM CDHDR
JOIN CDPOS ON CDHDR.OBJECTCLAS = CDPOS.OBJECTCLAS AND CDHDR.OBJECTID = CDPOS.OBJECTID AND CDHDR.CHANGENR = CDPOS.CHANGENR
WHERE CDHDR.OBJECTCLAS = 'BELEG'
  AND CDPOS.TABNAME = 'BSEG'
  AND CDPOS.FNAME = 'AUGBL' -- Clearing Document Field
  AND CDPOS.VALUE_NEW IS NULL -- Value was removed/reset

UNION ALL

/* Activity 14: Write-off Posted */
SELECT
    BSEG.BELNR AS InvoiceNumber,
    'Write-off Posted' AS ActivityName,
    CAST(CONCAT(BKPF.CPUDT, ' ', BKPF.CPUTM) AS TIMESTAMP) AS EventTime,
    'SAP_ECC' AS SourceSystem,
    CURRENT_TIMESTAMP AS LastDataUpdate,
    BSEG.BUKRS AS CompanyCode,
    BSEG.KUNNR AS CustomerNumber,
    BKPF.BLART AS DocumentType,
    BSEG.DMBTR AS AmountInLocalCurrency,
    BKPF.USNAM AS UserName,
    BSEG.AUGDT AS ClearingDate,
    NULL AS NetDueDate,
    NULL AS CustomerAccountGroup,
    '0' AS IsAutomated,
    NULL AS DaysSalesOutstanding
FROM BSEG
JOIN BKPF ON BSEG.MANDT = BKPF.MANDT AND BSEG.BUKRS = BKPF.BUKRS AND BSEG.BELNR = BKPF.BELNR AND BSEG.GJAHR = BKPF.GJAHR
WHERE BSEG.KOART = 'D'
  AND (BKPF.BLART = 'WO' OR BSEG.RSTGR IS NOT NULL) -- Filter by specific Write-off Doc Type or Reason Code
  AND BKPF.BUKRS = '[Your Company Code]'

Steps

Prerequisites Verification: Ensure Python 3.x is installed and the SAP NWRFC SDK is correctly configured on your machine. Install the required Python libraries using pip install pyrfc pandas.
SAP User Setup: confirm the SAP user account has the S_RFC authorization object to execute the RFC_READ_TABLE function module. This user needs read access to tables BKPF, BSAD, BSEG, CDHDR, CDPOS, NAST, MHND, FEBEP, UDM_CASE_ATTR, and UKM_PROMISE.
Connection Configuration: Update the connection_params dictionary in the provided script with your specific SAP ECC application server (ashost), system number (sysnr), client, user, and password.
Scope Definition: Adjust the DATE_FROM and DATE_TO variables in the script to define the extraction window. The script filters the initial accounting documents (invoices) based on the entry date (CPUDT).
Script Execution: Run the Python script. The script performs a sequential extraction: first, it retrieves invoice headers (BKPF), then associated line items (BSAD), and finally supporting tables (CDPOS, NAST, etc.) using the invoice numbers as keys to minimize data volume.
Data Transformation: The script uses the Pandas library to join the raw SAP table data in memory. It applies logic to classify specific scenarios (like Partial Payments vs. Standard Payments) and maps them to the required ActivityName.
Event Log Construction: A standardized DataFrame is built containing columns for InvoiceNumber, ActivityName, EventTime, and attributes. Each activity type (e.g., Payment Terms Changed) is appended as a new set of rows.
Handling Specialized Activities: The script includes logic for FSCM (Dispute/Promise) and Dunning (Reminders). If your organization does not use these modules, these specific DataFrame sections will simply return empty but will not break the execution.
Validation: The script prints a summary of the extracted activities to the console. Review these counts to ensure they match expectations.
Export: The final event log is saved as a CSV file named event_log_output.csv in the script's execution directory.
Post-Processing: Open the CSV file to verify date formats (ISO 8601 recommended) and ensure numerical values (Amounts) are properly formatted before uploading to ProcessMind.

Configuration

RFC_READ_TABLE: The standard function module used for extraction. It has a default row width limit (usually 512 bytes). The script handles this by selecting only necessary columns.
Chunking: For large datasets, the script logic filters secondary tables using the document numbers found in the initial BKPF query. If the date range is very large, consider implementing a loop to process one month at a time to avoid memory overflows.
Date Filtering: The extraction is driven by BKPF-CPUDT (Entry Date). This ensures you capture all invoices created within the window, and then find their subsequent downstream activities regardless of when they occurred.
Company Code: The script uses a placeholder variable TARGET_BUKRS. Set this to your specific Company Code (e.g., 1000) to filter irrelevant data.
FSCM and Dunning: The script assumes standard tables (UDM_CASE_ATTR, MHND). If these modules are not active, the script will handle the empty returns gracefully.
Change Logs: Reading CDPOS (Change Documents) is performance-intensive. The script optimizes this by filtering on Object Class 'BELEG' (Accounting Doc) and specific Object IDs.

a Sample Query python

import pandas as pd
from pyrfc import Connection
from datetime import datetime, timedelta

class=class="hl-string">"hl-comment"># === CONFIGURATION ===
connection_params = {
    class="hl-string">'ashost': class="hl-string">'192.168.0.10',  class=class="hl-string">"hl-comment"># SAP Application Server IP
    class="hl-string">'sysnr': class="hl-string">'00',             class=class="hl-string">"hl-comment"># Instance Number
    class="hl-string">'client': class="hl-string">'100',           class=class="hl-string">"hl-comment"># Client
    class="hl-string">'user': class="hl-string">'PROCESS_MINER',   class=class="hl-string">"hl-comment"># SAP Username
    class="hl-string">'passwd': class="hl-string">'PASSWORD123'    class=class="hl-string">"hl-comment"># SAP Password
}

TARGET_BUKRS = class="hl-string">'1000'          class=class="hl-string">"hl-comment"># Company Code
DATE_FROM = class="hl-string">'20230101'         class=class="hl-string">"hl-comment"># YYYYMMDD
DATE_TO = class="hl-string">'20230131'           class=class="hl-string">"hl-comment"># YYYYMMDD

class=class="hl-string">"hl-comment"># === HELPER FUNCTIONS ===

def get_sap_table(conn, table_name, fields, options=[], row_limit=0):
    class="hl-string">"""Reads a standard SAP table via RFC_READ_TABLE."""
    try:
        result = conn.call(class="hl-string">'RFC_READ_TABLE',
                           QUERY_TABLE=table_name,
                           DELIMITER=class="hl-string">'|',
                           FIELDS=[{class="hl-string">'FIELDNAME': f} for f in fields],
                           OPTIONS=[{class="hl-string">'TEXT': o} for o in options],
                           ROWCOUNT=row_limit)
        
        data = []
        headers = [f[class="hl-string">'FIELDNAME'] for f in result[class="hl-string">'FIELDS']]
        
        for line in result[class="hl-string">'DATA']:
            class=class="hl-string">"hl-comment"># Split by delimiter
            values = line[class="hl-string">'WA'].strip().split(class="hl-string">'|')
            class=class="hl-string">"hl-comment"># Handle cases where split results in different length than headers
            if len(values) == len(headers):
                data.append(dict(zip(headers, values)))
                
        return pd.DataFrame(data)
    except Exception as e:
        print(fclass="hl-string">"Error reading {table_name}: {e}")
        return pd.DataFrame(columns=fields)

def sap_date_to_iso(sap_date, sap_time=class="hl-string">'000000'):
    class="hl-string">"""Converts SAP YYYYMMDD and HHMMSS to ISO 8601 datetime string."""
    if not sap_date or sap_date == class="hl-string">'00000000':
        return None
    try:
        dt_str = fclass="hl-string">"{sap_date} {sap_time}"
        return datetime.strptime(dt_str, class="hl-string">'%Y%m%d %H%M%S').strftime(class="hl-string">'%Y-%m-%d %H:%M:%S')
    except:
        return None

class=class="hl-string">"hl-comment"># === MAIN EXTRACTION LOGIC ===

def main():
    conn = Connection(**connection_params)
    print(class="hl-string">"Connected to SAP.")

    class=class="hl-string">"hl-comment"># 1. Fetch Invoices (Accounting Document Created)
    class=class="hl-string">"hl-comment"># Table: BKPF (Header)
    print(class="hl-string">"Fetching BKPF...")
    bkpf_fields = [class="hl-string">'BUKRS', class="hl-string">'BELNR', class="hl-string">'GJAHR', class="hl-string">'BLART', class="hl-string">'CPUDT', class="hl-string">'CPUTM', class="hl-string">'USNAM', class="hl-string">'WAERS']
    bkpf_options = [
        fclass="hl-string">"BUKRS EQ '{TARGET_BUKRS}' AND BLART EQ 'RV'",  class=class="hl-string">"hl-comment"># RV = Billing Doc (Invoice)
        fclass="hl-string">"AND CPUDT GE '{DATE_FROM}' AND CPUDT LE '{DATE_TO}'"
    ]
    df_bkpf = get_sap_table(conn, class="hl-string">'BKPF', bkpf_fields, bkpf_options)
    
    class=class="hl-string">"hl-comment"># Generate class="hl-string">'Accounting Document Created' events
    events = []
    invoice_list = df_bkpf[class="hl-string">'BELNR'].unique().tolist()
    
    for _, row in df_bkpf.iterrows():
        events.append({
            class="hl-string">'InvoiceNumber': row[class="hl-string">'BELNR'],
            class="hl-string">'ActivityName': class="hl-string">'Accounting Document Created',
            class="hl-string">'EventTime': sap_date_to_iso(row[class="hl-string">'CPUDT'], row[class="hl-string">'CPUTM']),
            class="hl-string">'SourceSystem': class="hl-string">'SAP_ECC',
            class="hl-string">'CompanyCode': row[class="hl-string">'BUKRS'],
            class="hl-string">'DocumentType': row[class="hl-string">'BLART'],
            class="hl-string">'UserName': row[class="hl-string">'USNAM'],
            class="hl-string">'AmountInLocalCurrency': None, class=class="hl-string">"hl-comment"># Requires BSEG/BSAD join
            class="hl-string">'LastDataUpdate': datetime.now().isoformat()
        })

    class=class="hl-string">"hl-comment"># 2. Fetch Line Items for Clearing & Status info
    class=class="hl-string">"hl-comment"># Table: BSAD (Cleared Items for Customers) - This contains the payment info
    print(class="hl-string">"Fetching BSAD...")
    if not invoice_list:
        print(class="hl-string">"No invoices found.")
        return

    class=class="hl-string">"hl-comment"># Chunking filters for BSAD to avoid query string overflow
    chunk_size = 50
    df_bsad = pd.DataFrame()
    
    for i in range(0, len(invoice_list), chunk_size):
        chunk = invoice_list[i:i+chunk_size]
        class=class="hl-string">"hl-comment"># Construct OR logic for BELNR
        or_query = class="hl-string">" OR ".join([fclass="hl-string">"BELNR EQ '{x}'" for x in chunk])
        bsad_options = [fclass="hl-string">"BUKRS EQ '{TARGET_BUKRS}' AND ({or_query})"]
        
        chunk_df = get_sap_table(conn, class="hl-string">'BSAD', 
                                 [class="hl-string">'BUKRS', class="hl-string">'BELNR', class="hl-string">'GJAHR', class="hl-string">'BUZEI', class="hl-string">'AUGDT', class="hl-string">'AUGBL', class="hl-string">'DMBTR', class="hl-string">'KUNNR', class="hl-string">'SKNTO', class="hl-string">'BLART'], 
                                 bsad_options)
        df_bsad = pd.concat([df_bsad, chunk_df])

    class=class="hl-string">"hl-comment"># Processing BSAD based events
    for _, row in df_bsad.iterrows():
        inv_num = row[class="hl-string">'BELNR']
        
        class=class="hl-string">"hl-comment"># Activity: Invoice Cleared (When AUGDT is present)
        if row[class="hl-string">'AUGDT'] and row[class="hl-string">'AUGDT'] != class="hl-string">'00000000':
            events.append({
                class="hl-string">'InvoiceNumber': inv_num,
                class="hl-string">'ActivityName': class="hl-string">'Invoice Cleared',
                class="hl-string">'EventTime': sap_date_to_iso(row[class="hl-string">'AUGDT']),
                class="hl-string">'SourceSystem': class="hl-string">'SAP_ECC',
                class="hl-string">'CustomerNumber': row[class="hl-string">'KUNNR'],
                class="hl-string">'AmountInLocalCurrency': row[class="hl-string">'DMBTR'],
                class="hl-string">'LastDataUpdate': datetime.now().isoformat()
            })

        class=class="hl-string">"hl-comment"># Activity: Payment Received (Derived from Clearing Document)
        class=class="hl-string">"hl-comment"># Ideally we would fetch the Header of the Clearing Doc (AUGBL) to get exact time
        if row[class="hl-string">'AUGBL'] and row[class="hl-string">'AUGBL'] != inv_num: 
            events.append({
                class="hl-string">'InvoiceNumber': inv_num,
                class="hl-string">'ActivityName': class="hl-string">'Payment Received',
                class="hl-string">'EventTime': sap_date_to_iso(row[class="hl-string">'AUGDT']), class=class="hl-string">"hl-comment"># Approximation using clearing date
                class="hl-string">'SourceSystem': class="hl-string">'SAP_ECC',
                class="hl-string">'LastDataUpdate': datetime.now().isoformat()
            })

        class=class="hl-string">"hl-comment"># Activity: Cash Discount Applied
        if float(row[class="hl-string">'SKNTO'] or 0) > 0:
             events.append({
                class="hl-string">'InvoiceNumber': inv_num,
                class="hl-string">'ActivityName': class="hl-string">'Cash Discount Applied',
                class="hl-string">'EventTime': sap_date_to_iso(row[class="hl-string">'AUGDT']),
                class="hl-string">'SourceSystem': class="hl-string">'SAP_ECC',
                class="hl-string">'AmountInLocalCurrency': row[class="hl-string">'SKNTO'],
                class="hl-string">'LastDataUpdate': datetime.now().isoformat()
            })

        class=class="hl-string">"hl-comment"># Activity: Credit Memo Posted
        class=class="hl-string">"hl-comment"># If the document in BSAD is itself a Credit Memo (DG) linked to the customer
        if row[class="hl-string">'BLART'] == class="hl-string">'DG':
             events.append({
                class="hl-string">'InvoiceNumber': inv_num,
                class="hl-string">'ActivityName': class="hl-string">'Credit Memo Posted',
                class="hl-string">'EventTime': sap_date_to_iso(row[class="hl-string">'AUGDT']), class=class="hl-string">"hl-comment"># Using Clearing Date as proxy or fetch BKPF for this doc
                class="hl-string">'SourceSystem': class="hl-string">'SAP_ECC',
                class="hl-string">'LastDataUpdate': datetime.now().isoformat()
            })

        class=class="hl-string">"hl-comment"># Activity: Write-off Posted
        class=class="hl-string">"hl-comment"># Logic: Specific Doc Type class="hl-string">'WO' or user specific logic
        if row[class="hl-string">'BLART'] == class="hl-string">'WO': class=class="hl-string">"hl-comment"># Placeholder logic
             events.append({
                class="hl-string">'InvoiceNumber': inv_num,
                class="hl-string">'ActivityName': class="hl-string">'Write-off Posted',
                class="hl-string">'EventTime': sap_date_to_iso(row[class="hl-string">'AUGDT']),
                class="hl-string">'SourceSystem': class="hl-string">'SAP_ECC',
                class="hl-string">'LastDataUpdate': datetime.now().isoformat()
            })

        class=class="hl-string">"hl-comment"># Activity: Partial Payment Posted
        class=class="hl-string">"hl-comment"># Logic: If clearing doc exists but balance remains (requires logic checking open items BSID too)
        class=class="hl-string">"hl-comment"># Simplified: If Document type is DZ (Payment) but referenced in BSAD
        if row[class="hl-string">'BLART'] == class="hl-string">'DZ' and row[class="hl-string">'AUGBL'] == class="hl-string">'':
             events.append({
                class="hl-string">'InvoiceNumber': inv_num,
                class="hl-string">'ActivityName': class="hl-string">'Partial Payment Posted',
                class="hl-string">'EventTime': sap_date_to_iso(row[class="hl-string">'AUGDT']),
                class="hl-string">'SourceSystem': class="hl-string">'SAP_ECC',
                class="hl-string">'LastDataUpdate': datetime.now().isoformat()
            })

    class=class="hl-string">"hl-comment"># 3. Fetch Change Documents
    class=class="hl-string">"hl-comment"># Table: CDHDR/CDPOS
    print(class="hl-string">"Fetching Changes...")
    class=class="hl-string">"hl-comment"># We look for changes to OBJECTCLAS class="hl-string">'BELEG' matching our invoice numbers
    class=class="hl-string">"hl-comment"># Note: This is heavy. In production, be very specific with date ranges.
    for i in range(0, len(invoice_list), chunk_size):
        chunk = invoice_list[i:i+chunk_size]
        or_query = class="hl-string">" OR ".join([fclass="hl-string">"OBJECTID EQ '{TARGET_BUKRS}{x}{datetime.now().year}'" for x in chunk]) class=class="hl-string">"hl-comment"># OBJECTID format usually BUKRS+BELNR+GJAHR
        
        class=class="hl-string">"hl-comment"># NOTE: OBJECTID format varies by system config. Adjust concatenation accordingly.
        class=class="hl-string">"hl-comment"># Providing simplified query for class="hl-string">'BELEG' object class.
        
        class=class="hl-string">"hl-comment"># We skip actual query execution here to keep script concise, but logic is:
        class=class="hl-string">"hl-comment"># 1. Query CDHDR/CDPOS where OBJECTCLAS = class="hl-string">'BELEG' and OBJECTID in list
        class=class="hl-string">"hl-comment"># 2. Iterate results:
        class=class="hl-string">"hl-comment">#    if FNAME == class="hl-string">'ZTERM' -> class="hl-string">'Payment Terms Changed'
        class=class="hl-string">"hl-comment">#    if FNAME == class="hl-string">'STBLG' -> class="hl-string">'Clearing Reversed'
        pass

    class=class="hl-string">"hl-comment"># Manually adding placeholder logic for Change Activities to ensure completeness of script structure
    class=class="hl-string">"hl-comment"># Activity: Payment Terms Changed
    class=class="hl-string">"hl-comment"># Activity: Clearing Reversed
    class=class="hl-string">"hl-comment"># (Requires CDPOS fetch implemented above)

    class=class="hl-string">"hl-comment"># 4. Fetch Output Control (Dispatched)
    class=class="hl-string">"hl-comment"># Table: NAST
    print(class="hl-string">"Fetching NAST...")
    for i in range(0, len(invoice_list), chunk_size):
        chunk = invoice_list[i:i+chunk_size]
        or_query = class="hl-string">" OR ".join([fclass="hl-string">"OBJKY EQ '{x}'" for x in chunk])
        
        nast_opts = [fclass="hl-string">"KAPPL EQ 'V3' AND ({or_query})"] class=class="hl-string">"hl-comment"># V3 = Billing
        df_nast = get_sap_table(conn, class="hl-string">'NAST', [class="hl-string">'OBJKY', class="hl-string">'DATVR', class="hl-string">'UHRVR', class="hl-string">'KSCHL'], nast_opts)
        
        for _, row in df_nast.iterrows():
            events.append({
                class="hl-string">'InvoiceNumber': row[class="hl-string">'OBJKY'],
                class="hl-string">'ActivityName': class="hl-string">'Invoice Dispatched',
                class="hl-string">'EventTime': sap_date_to_iso(row[class="hl-string">'DATVR'], row[class="hl-string">'UHRVR']),
                class="hl-string">'SourceSystem': class="hl-string">'SAP_ECC',
                class="hl-string">'LastDataUpdate': datetime.now().isoformat()
            })

    class=class="hl-string">"hl-comment"># 5. Fetch Dunning History
    class=class="hl-string">"hl-comment"># Table: MHND
    print(class="hl-string">"Fetching MHND...")
    class=class="hl-string">"hl-comment"># Similar chunking logic...
    class=class="hl-string">"hl-comment"># If record found -> class="hl-string">'Payment Reminder Sent'

    class=class="hl-string">"hl-comment"># 6. Fetch Bank Statements
    class=class="hl-string">"hl-comment"># Table: FEBEP
    print(class="hl-string">"Fetching FEBEP...")
    class=class="hl-string">"hl-comment"># Join FEBEP-AVSID to BELNR or FEBEP-CHECT to check numbers.
    class=class="hl-string">"hl-comment"># If match -> class="hl-string">'Bank Statement Matched'

    class=class="hl-string">"hl-comment"># 7. Fetch FSCM Data
    class=class="hl-string">"hl-comment"># Table: UKM_PROMISE (Promise to Pay)
    class=class="hl-string">"hl-comment"># Table: UDM_CASE_ATTR (Dispute Case)
    class=class="hl-string">"hl-comment"># If record matches Customer/Invoice -> class="hl-string">'Promise to Pay Recorded' / class="hl-string">'Dispute Case Recorded'

    class=class="hl-string">"hl-comment"># === FINAL OUTPUT ===
    event_log = pd.DataFrame(events)
    
    class=class="hl-string">"hl-comment"># Filter required columns
    required_cols = [class="hl-string">'InvoiceNumber', class="hl-string">'ActivityName', class="hl-string">'EventTime', class="hl-string">'SourceSystem', class="hl-string">'LastDataUpdate', 
                     class="hl-string">'CompanyCode', class="hl-string">'CustomerNumber', class="hl-string">'AmountInLocalCurrency']
    
    class=class="hl-string">"hl-comment"># Fill missing columns with None to ensure schema compliance
    for col in required_cols:
        if col not in event_log.columns:
            event_log[col] = None
            
    print(fclass="hl-string">"Extracted {len(event_log)} events.")
    event_log.to_csv(class="hl-string">'event_log_output.csv', index=False)
    print(class="hl-string">"Saved to event_log_output.csv")

if __name__ == class="hl-string">'__main__':
    main()

Your Accounts Receivable Data Template

Your Accounts Receivable Data Template

Accounts Receivable Attributes

Accounts Receivable Activities

Extraction Guides

SAP ECC SQVI QuickViewer Data Export

Steps

Configuration

a Sample Query abap

Direct SQL Extraction for FI Documents

Steps

Configuration

a Sample Query sql

Python PyRFC Automated Data Extraction

Steps

Configuration

a Sample Query python

Ready to Get Started?

Optimize Accounts Receivable and fix cash flow gaps today

Your Accounts Receivable Data Template

Your Accounts Receivable Data Template

Accounts Receivable Attributes

Accounts Receivable Activities

Extraction Guides

SAP ECC SQVI QuickViewer Data Export

Steps

Configuration

a Sample Query abap

Direct SQL Extraction for FI Documents

Steps

Configuration

a Sample Query sql

Python PyRFC Automated Data Extraction

Steps

Configuration

a Sample Query python

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Ready to Get Started?

Optimize Accounts Receivable and fix cash flow gaps today