AR Open Claim Summary and Detail Report

Receivables

Customer claims and deductions — short-payments, disputed amounts, and unauthorized deductions — by reason and customer, so deductions management can research and resolve them before they age out.

Related Pairs with the Open/Closed Claim Detail Report — this is the open view; that shows the full lifecycle.

Sample build of the AR Open Claim Summary and Detail Report — reconciled, and rendered tool-neutral so it runs in Power BI, ThoughtSpot, or Tableau.

Sample build · illustrative

Filters

Claim Class

Standard

Claim Reason

Standard

Customer Account Number

1003

Gl Date

2026-02-28

P Claim Reason

Standard

P Org Id

1003

186

Open claims

$540K

Open claim value

Over 60 days

Customer	Claim	Reason	Open Amount	Age (days)	Status
Acme Industrial	Sample	Standard	$1,240,500.00	Sample	Open
Northwind Trading	—	Corporate	$842,150.75	—	Posted
Globex Holdings	Sample	Standard	$96,400.00	Sample	Validated
Initech LLC	—	Default	$1,005,233.10	—	Open
Umbrella Corp	Sample	Standard	$58,720.40	Sample	Paid
Acme Industrial	Sample	Standard	$1,240,500.00	Sample	Open

AI Analyst · active

reading

The report reads claims and deductions tied to receipts, grouped by reason and customer.

flag

48 claims have been open over 60 days — aged deductions tie up cash and in many programs the right to dispute expires.

root cause & next step

Work the aged claims by reason; if one reason dominates, fix the upstream billing or pricing cause.

Illustrative data. The live interactive version — drill-through, filters, export, and the AI Analyst — runs on your warehouse. See it live →

This is the report's BI Publisher data model — the SQL data set BI Publisher runs against Oracle tables to produce the output. The same SQL becomes a dbt model in your warehouse, so one definition drives both the formatted report and the analytics layer.

Data sources

How it interconnects: this data set reads the physical tables above. Those same tables surface in OTBI as subject areas and in BICC as PVOs — three lenses on one source. Open any table to trace its subject areas and View Objects.

SQL data set · genericized · parameterized · no hardcoded segments

Show / hide SQL

-- Summary_USD
SELECT MAIN.BU_NAME,
       SUM(MAIN.DOC_COUNT) DOC_COUNT,
       SUM(MAIN.AMOUNT) amount,
       SUM(MAIN.B1) B1,
	   SUM(MAIN.B2) B2,
	   SUM(MAIN.B3) B3,
	   SUM(MAIN.B4) B4,
	   SUM(MAIN.B5) B5,
	   SUM(MAIN.B6) B6
FROM 

(
--Subq4 Start here
SELECT
       bu_name
     , (amount/1000000) amount
     ,
       CASE
       WHEN
            total_due_days BETWEEN 0
            AND 30
       THEN
            amount/1000000
       END B1
     ,
       CASE
       WHEN
            total_due_days BETWEEN 31
            AND 60
       THEN
            amount/1000000
       END B2
     ,
       CASE
       WHEN
            total_due_days BETWEEN 61
            AND 90
       THEN
            amount/1000000
       END B3
     ,
       CASE
       WHEN
            total_due_days BETWEEN 91
            AND 180
       THEN
            amount/1000000
       END B4
     ,
       CASE
       WHEN
            total_due_days BETWEEN 181
            AND 365
       THEN
            amount/1000000
       END B5
     ,
       CASE
       WHEN
            total_due_days > 365
       THEN
            amount/1000000
       END B6
     , cash_receipt_id
     , doc_count
FROM
       (
            --Subq3 starts here
            SELECT
                   bu_name
                 , sum(amount) amount
                 , To_date(P_GL_DATE, 'YYYY-MM-DD') - To_date( rcpt_cl_application_date, 'YYYY-MM-DD' ) TOTAL_DUE_DAYS
                 , cash_receipt_id
                 , Count(application_ref_num) DOC_COUNT
            FROM
                   (
                        --Subq2 starts here
                        SELECT
                               bu_name
                             , amount
							 --, application_date RCPT_CL_APPLICATION_DATE
                             , Substr( To_date(application_date, 'YYYY-MM-DD'), 1, 10 ) RCPT_CL_APPLICATION_DATE
                             , Substr(:P_GL_DATE, 1, 10) P_GL_DATE
                             , cash_receipt_id
                             , application_ref_num
                        FROM
                               (
                                    SELECT  DISTINCT
                                           FBU.bu_name
										   , To_date(acr.receipt_date, 'YYYY-MM-DD')  APPLICATION_DATE
                                         --, ( To_date(ARAA.apply_date, 'YYYY-MM-DD') ) APPLICATION_DATE
                                        -- , CCA.amount 
										
										, (CCA.AMOUNT * NVL((SELECT 
												DR.CONVERSION_RATE
											FROM 
												GL_DAILY_CONVERSION_TYPES CT,
												GL_DAILY_RATES DR
											WHERE 
												DR.CONVERSION_TYPE = CT.CONVERSION_TYPE
												AND trunc (DR.CONVERSION_DATE) = TRUNC (acr.receipt_date)
												AND DR.FROM_CURRENCY = ACR.CURRENCY_CODE
												AND DR.TO_CURRENCY = 'USD'
												AND upper(CT.USER_CONVERSION_TYPE) = 'STANDARD'
												--AND ROWNUM=1
												),1)) AMOUNT										
										
                                         , ACR.cash_receipt_id
                                         --, ARAA.application_ref_num
										 ,cca.CLAIM_NUMBER application_ref_num
										 
                                    FROM
                                           ar_cash_receipts_all ACR
                                         , hz_cust_accounts HCA
                                         , hz_parties HP
                                         , hz_cust_site_uses_all HCSUA
                                         , fun_all_business_units_v FBU
                                         , ar_receivable_applications_all ARAA
                                         , cjm_claims_all CCA
                                         , cjm_claim_reason_codes_b CCRCB
                                    WHERE
                                           1 = 1
									and EXISTS (SELECT 1
													FROM 
													 fusion.fun_user_role_data_asgnmnts role
													 --fbu.fun_all_business_units_v
													,fusion.per_users pu
													,fusion.per_roles_dn_vl pr
													,fusion.per_roles_dn_tl prtl
													WHERE role.org_id = fbu.bu_id
													AND pu.user_guid = role.user_guid
													AND pr.role_common_name = role.ROLE_NAME
													and role.active_flag ='Y' 
													and pu.username = fnd_global.user_name
													and pr.role_id=prtl.role_id
													and prtl.LANGUAGE='US'
													and prtl.ROLE_NAME  in  ('XXC Accounts Receivable Analyst'
																			,'XXC Accounts Receivable Manager'
																			,'XXC Receivables Inquiry'
																			)

													) 
								  --  AND    ACR.CASH_RECEIPT_ID = 300000036702225
                                    AND    ACR.org_id               = FBU.bu_id
                                    AND    ACR.cash_receipt_id      = ARAA.cash_receipt_id
                                    AND    ACR.pay_from_customer    = HCA.cust_account_id(+)
                                    AND    HCA.party_id             = HP.party_id
                                    AND    HCA.cust_account_id      = HCA.cust_account_id
                                    AND    ACR.customer_site_use_id = HCSUA.site_use_id(+)
                                    --AND    (ARAA.application_ref_num LIKE 'DED%' OR ARAA.application_ref_num LIKE 'OPM%')
                                    AND    CCA.status_code          = 'OPEN'
                                    AND    ACR.cash_receipt_id      = CCA.receipt_id
                                    AND    CCA.receipt_id           = ARAA.cash_receipt_id
                                    --AND    CCA.claim_id             = ARAA.application_ref_id
									AND    cca.RECEIVABLE_APPLICATION_ID = araa.RECEIVABLE_APPLICATION_ID
                                    AND    ACR.org_id               = CCA.bu_id
                                    AND    ACR.org_id               = ARAA.org_id
                                    AND    CCA.reason_code_id       = CCRCB.reason_code_id(+)
									AND    (CCA.CLAIM_CLASS_CODE	IN (:P_CLAIM_CLASS) OR 'All' IN ('All'||:P_CLAIM_CLASS) )
                                    AND    ARAA.gl_date <= :P_GL_DATE
                                   -- AND    ( REPLACE(ARAA.APPLICATION_REF_REASON,'_',' ') IN (:P_CLAIM_REASON) OR 'All' IN ('All' ||:P_CLAIM_REASON) )
								    AND    (nvl(cca.REASON_CODE_ID,1) IN (:p_claim_reason) or '1' in (:p_claim_reason||'1'))
								    AND    (FBU.bu_id in (:p_org_id) or 'All' in (:p_org_id||'All'))
                                    AND    ( HCA.account_number IN (:P_CUSTOMER_ACCOUNT_NUMBER) OR 'All' IN ( 'All' || :P_CUSTOMER_ACCOUNT_NUMBER ) )
									)--Subq2 end he

                   )
            GROUP BY
                   bu_name
                 , amount
                 , To_date(P_GL_DATE, 'YYYY-MM-DD') - To_date( rcpt_cl_application_date, 'YYYY-MM-DD' )
                 , cash_receipt_id
                   --Subq3 end here
				   )--Subq4 end here
) MAIN
GROUP BY MAIN.BU_NAME

:P_CLAIM_CLASS :P_CLAIM_REASON :P_CUSTOMER_ACCOUNT_NUMBER :P_GL_DATE :p_claim_reason :p_org_id

The data-warehouse model — one fact surrounded by conformed dimensions (what you slice by) and measures (what you aggregate), expressed as dbt so it migrates with you. Grain: one row per source transaction.

●— fact → dimension join

Element	Type	Definition
AR_RECEIVABLE_APPLICATIONS_ALL	dimension	dimension
HZ_CUST_ACCOUNTS	dimension	dimension
HZ_PARTIES	dimension	dimension
GL_LEDGERS	dimension	dimension
Open Amount	measure	measure

Runs on your cloud warehouse — Snowflake, BigQuery, Redshift, or Synapse on AWS, Google Cloud, Azure, or any provider. Reconciled to the source control total — 0% variance by design. You own the code, the model, and the data.

How the data gets here: a BICC bulk extract of the source tables above, on the same pattern for every report. See the extraction pattern & data flow →

See the complete model

How this report's fact and dimensions fit the full picture, via conformed keys.

Receivables data model →Enterprise model →

Every source object behind this report. Each linked table has its own page with full column descriptions, drawn from the Oracle BICC lineage and articulated for practitioners.

Table	Reporting columns	Subject areas
AR_CASH_RECEIPTS_ALL	25	9
AR_RECEIVABLE_APPLICATIONS_ALL	35	2
HZ_CUST_ACCOUNTS	14	43
HZ_PARTIES	81	144
GL_LEDGERS	10	104

Reporting columns = fields the report selects that are exposed as analytics attributes; subject areas = the OTBI subject areas the table appears in. Setup and configuration tables (master data, ledger and book setup, lookups) are referenced by the report's joins but aren't exposed as analytics columns or subject areas — that's expected, not a gap.