INFOR BAAN DATA VALIDATION

    Infor BaaN Data Validation — To the Cent, Auditor-Signed

    Purpose-built infor baan data validation across field, row and aggregate levels. tdord/tcorda/tfgld hash-matched per t_fcom per period, HGB+IFRS dual-GAAP reconciliation per legal entity, AP/AR/inventory/WIP cross-checked, FBDI errors surfaced locally before any 4-hour ESS job runs.

    3 levels
    Field + row + aggregate
    100%
    Hash-matched rows
    HGB + IFRS
    Dual-GAAP reconciled
    Cent-level
    Trial-balance reconciliation

    Why infor baan data validation makes or breaks the migration sign-off

    The CFO and the external auditor don't sign off because the Syntra ETL pipeline ran. They sign off because the reconciliation pack proves — to the cent, with hash signatures, for every legal entity, per ledger, per period — that the BaaN history landed in Fusion correctly.

    Most consultant-led BaaN-to-Fusion migrations leave validation as an afterthought. The team runs the FBDI loads, declares them complete, and asks the finance team to 'spot-check'. The auditor arrives at sign-off, asks for the trial-balance reconciliation, and discovers that nobody has produced one per ledger per legal entity per period with hash-signed evidence. Sign-off slips by 6–8 weeks while the team manually reconstructs reconciliations that should have been continuous artefacts of the migration.

    Syntra ETL's infor baan data validation is continuous and audit-grade by design. Every record extracted from BaaN is hashed at source. Every record loaded into Fusion is re-hashed post-load. Aggregate reconciliations are produced per ledger per fiscal period per legal entity for both HGB and IFRS ledger streams. AP aging reconciles at customer/supplier/BU level. AR aging reconciles at customer/BU level. Fixed-asset net book value reconciles per asset category per legal entity. Inventory perpetual reconciles per warehouse per item. Production WIP reconciles per work centre per production order. Every reconciliation is hash-signed and timestamped.

    When the auditor arrives at sign-off, the pack is already complete. BaaN trial balance per HGB ledger reconciled to Fusion HGB ledger to the cent. BaaN trial balance per IFRS ledger reconciled to Fusion IFRS ledger to the cent. Every variance investigated and either fixed (with the partition re-loaded) or accepted (with a documented business-acceptance note). Mapping book version, executable crosswalk version, and validation diagnostic log all archived. Sign-off happens in days, not weeks.

    Three validation levels

    1
    Field-level (pre-load)
    Every value validated against Fusion 26x schema locally before FBDI ZIP submission. Range checks, lookup constraints, mandatory flags, cross-field consistency, FK resolution. Errors fixed at source, ZIP regenerated.
    2
    Row-level (post-load)
    Every BaaN source row hash-matched to its Fusion landed row using deterministic hash over natural-key + value columns. Missing rows, spurious creates, hash mismatches reported with field-level diagnostics.
    3
    Aggregate-level (audit)
    Trial balance per ledger per period per legal entity. AP/AR aging per customer/supplier. Fixed asset NBV per category. Inventory perpetual per warehouse. Production WIP per work centre. All reconciled to the cent against BaaN.
    4
    Continuous (parallel-run)
    During parallel-run, every BaaN delta hash-matched to Fusion landed delta daily. Month-end reconciliation pack produced per legal entity. Sign-off on pack triggers production cutover.

    What infor baan data validation actually checks

    Eight validation suites that run continuously across the migration cycle — each one signed and archived as audit evidence.

    📒

    GL trial balance per ledger

    Debit + credit per ledger per fiscal period per legal entity, reconciled to BaaN tfgld trial balance to the cent. Separate reconciliation for HGB and IFRS ledger streams. Variance investigation per anomaly.

    💰

    AP aging per supplier

    Open AP invoice totals per supplier per BU per aging bucket, reconciled to BaaN tfacp open items. Match-key: supplier VAT-ID + invoice number + currency. Variances grouped by root cause.

    📥

    AR aging per customer

    Open AR invoice totals per customer per BU per aging bucket, reconciled to BaaN tfacr. Disputed-status preserved. Reverse-charge tax treatment validated per intra-EU B2B flow.

    🏗️

    Fixed-asset NBV per category

    Net book value per asset category per legal entity, reconciled to BaaN tffam. German AfA depreciation method preservation validated. IFRS componentization reconciled separately where applicable.

    📦

    Inventory perpetual per warehouse

    On-hand quantity and value per warehouse per item, reconciled to BaaN whinp. Costing method consistency checked (FIFO/LIFO/standard/average). Lot/serial preservation validated for FDA/ITAR environments.

    ⚙️

    Production WIP per work centre

    WIP quantity and value per work centre per production order, reconciled to BaaN tipcs. Routing operation state preserved. Material issue and labour confirmation totals validated.

    🔢

    Hash signatures per partition

    Every Parquet staging partition hash-signed at extract. Re-hashed at Fusion landed state. Hash mismatch flags row-level investigation. Hash-match percentage recorded in reconciliation pack.

    📑

    Mapping + crosswalk version

    Mapping book version, executable crosswalk version, validation diagnostic log all archived alongside reconciliation pack. Auditor traces any sign-off back to the exact transformation logic at that load.

    The infor baan data validation workflow

    A repeatable validation cycle that runs from initial load through parallel-run through production cutover. Audit-grade by design.

    1

    Field-Level Pre-Validation — Per load

    Before every FBDI ZIP is generated, every record validated against Fusion 26x schema locally. Range, lookup, mandatory, cross-field, FK — all checked. Errors fixed at source. ZIP regenerated. Clean ZIP only submits to Fusion ESS.

    2

    Row-Level Post-Load Hash Match — Per load

    Post-load, every BaaN source row hash-matched against Fusion landed row. Missing/spurious/mismatched rows reported with field-level diagnostics. Hash-match percentage logged. Anomalies triaged.

    3

    Aggregate Reconciliation — Per load + monthly

    Trial balance per ledger per period per legal entity reconciled to the cent. AP/AR aging, fixed asset NBV, inventory perpetual, production WIP all reconciled. Per HGB and IFRS ledger streams.

    4

    Variance Triage & Re-Load — Per anomaly

    Each variance categorized: data quality at source (fix in BaaN), crosswalk gap (refine mapping book), Fusion config (extend lookup set). Fix applied. Affected partition re-loaded. Validation re-runs.

    5

    Parallel-Run Continuous — Months 11–13

    Every BaaN delta hash-matched against Fusion landed delta daily. Daily reconciliation report. Month-end reconciliation pack per legal entity. CFO + auditor sign-off.

    6

    Final Cutover Sign-Off — Cutover weekend

    Final reconciliation pack: BaaN trial balance (HGB+IFRS) vs Fusion trial balance per legal entity, AP/AR aging, inventory, WIP, fixed-asset NBV. Hash-signed. Mapping book + crosswalk version archived. Sign-off. Cutover.

    Reconciliation pack — what auditors receive

    The signed evidence pack delivered at every load cycle and at final cutover sign-off.

    📊

    Per-ledger trial balance reconciliation

    BaaN trial balance vs Fusion trial balance per ledger per period per legal entity. Separate pack for HGB and IFRS streams. Hash-signed, timestamped, auditor-signed.

    💳

    AP/AR aging reconciliation

    Open AP/AR totals per supplier/customer per BU per aging bucket. Match-key methodology documented. Variances grouped by root cause with disposition.

    🏗️

    Fixed-asset reconciliation

    Net book value per asset category per legal entity. German AfA depreciation method preservation. IFRS componentization reconciliation.

    📦

    Inventory & WIP reconciliation

    On-hand quantity + value per warehouse per item. WIP quantity + value per work centre per production order. Costing method consistency log.

    🔢

    Hash-signature manifest

    Per-partition hash signatures from extract + landed states. Hash-match percentage per object. Any mismatch traced to the specific row and field.

    📜

    Mapping + crosswalk archive

    Mapping book version, executable crosswalk version, validation diagnostic log, export-control sign-off (ITAR/DFARS), auditor signature pages — all bundled with reconciliation pack.

    Frequently asked questions

    What is infor baan data validation?+

    Infor baan data validation is the post-load verification that every BaaN record landed in Oracle Fusion correctly: counts match, sums match, hashes match, business rules hold, and the GL audit chain reconstructs from Fusion back to the original BaaN source row. Syntra ETL's infor baan data validation engine runs at three levels: (1) field-level — every value validated against Fusion 26x schema constraints before the FBDI ZIP submits; (2) row-level — every BaaN source row hash-matched to its Fusion landed row; (3) aggregate-level — trial balance per ledger per fiscal period per legal entity reconciled to the cent against BaaN, AP/AR aging reconciled at customer/supplier level, inventory perpetual reconciled per warehouse, production WIP reconciled per work centre. Output: signed reconciliation pack that satisfies HGB, IFRS, SOX, ITAR auditors directly.

    How does row-level reconciliation actually work?+

    Every record extracted from BaaN is hashed at the source — a deterministic hash over the natural-key columns plus the value columns. The hash is captured in the Parquet staging manifest. Every record loaded into Fusion is re-hashed post-load using the same hash function over the equivalent landed columns. The Syntra ETL infor baan data validation engine compares the two hash sets, identifies any record present in source but absent in target (load failure), any record present in target but absent in source (spurious creation), and any record where the hash differs (transformation error or field mismatch). Each anomaly is reported with full context — BaaN table.column, sample value, expected Fusion landed value, actual Fusion landed value — ready for triage. The audit pack records the final hash-match percentage per object.

    What aggregate reconciliations does Syntra produce?+

    The Syntra ETL infor baan data validation engine produces a multi-level reconciliation pack per migration cycle. GL trial balance: debit and credit totals per ledger per fiscal period per legal entity, reconciled to BaaN tfgld trial balance to the cent, for both HGB and IFRS ledger streams. AP aging: open invoice totals per supplier per BU per aging bucket, reconciled to tfacp open items. AR aging: open invoice totals per customer per BU per aging bucket, reconciled to tfacr. Fixed assets: net book value per asset category per legal entity, reconciled to tffam. Inventory: perpetual on-hand quantity and value per warehouse per item, reconciled to whinp. Production: WIP value per work centre per production order, reconciled to tipcs. Each reconciliation is hash-signed, timestamped, and reviewed by the external auditor.

    How does field-level validation prevent FBDI load failures?+

    Most consultant-led infor baan to fusion engagements discover field-level validation problems only after the FBDI ZIP has been uploaded to Fusion and the ESS job has run for 4 hours, with errors surfacing at row 487,000. Syntra ETL inverts the sequence. Every field is validated against the Fusion 26x schema locally — before the FBDI ZIP is even generated. Range checks (numeric values within precision), lookup-list constraints (every value in legal-entity, COA segment, supplier-type, item-status, etc. constrained to active Fusion configuration), mandatory-flag enforcement, cross-field consistency (debit/credit balanced per journal line, invoice header total matches line sum), date-range validity, FK references resolved. Validation errors are reported per row with the BaaN source row reference and the field-level diagnostic — fix once, regenerate ZIP, load clean.

    How does validation handle HGB + IFRS dual-GAAP reconciliation?+

    European customers running BaaN with parallel HGB (German statutory) and IFRS ledger streams need each stream reconciled separately. The Syntra ETL infor baan data validation engine reconciles per ledger per legal entity per period: BaaN HGB trial balance to Fusion HGB ledger trial balance to the cent, BaaN IFRS trial balance to Fusion IFRS ledger trial balance to the cent. GAAP-only postings (asset componentization in IFRS not present in HGB, accelerated depreciation in HGB not present in IFRS) are identified and reconciled within their respective ledger. The reconciliation pack ships separate signed PDFs per ledger per legal entity, plus a consolidated cross-GAAP summary showing reconciled deltas (e.g., the depreciation timing difference) at the legal-entity level. External auditor signs per pack.

    Can validation continue during the parallel-run window?+

    Yes — and it should. During the parallel-run window (typically 2 month-end cycles), BaaN continues taking transactions and Fusion takes the same transactions via parallel data feed. The Syntra ETL infor baan data validation engine runs continuous reconciliation: every BaaN delta (via Oracle LogMiner / MS-SQL CDC / Informix logging plus BaaN Exchange Scheme subscriptions) is hash-matched against the Fusion landed delta. Daily reconciliation reports go to finance, manufacturing and supply chain leads. Month-end produces the full reconciliation pack: HGB trial balance reconciled, IFRS trial balance reconciled, AP/AR aging reconciled, inventory perpetual reconciled, production WIP reconciled — per legal entity, hash-signed. Sign-off on the parallel-run reconciliation pack is the trigger to cut production to Fusion.

    What happens when validation finds variances?+

    Every variance is captured with full context: BaaN source row reference, the field-level value in BaaN, the expected Fusion landed value per the crosswalk, the actual Fusion landed value, and the diagnostic explaining the mismatch (e.g., dimension value not in the lookup set, supplier dedupe collapsed two distinct suppliers, packed-decimal precision lost, exchange-rate date mismatch). Variances are triaged by category: data-quality issues at source (fix in BaaN before next extract), crosswalk gaps (refine the mapping book and re-version), Fusion configuration mismatches (extend Fusion lookup sets / categories). Each fix re-runs the validation pack on the affected partition. Material variances block the sign-off; immaterial variances are logged with a documented business-acceptance decision.

    How does validation support SOX, HGB and ITAR audit requirements?+

    SOX requires the GL audit chain to reconstruct from any GL entry back to original supporting evidence within 7 years. HGB §257 demands 10 years for accounting records with full traceability. ITAR / DFARS retention runs 5–7 years for defence-controlled records. The Syntra ETL infor baan data validation reconciliation pack ships the full evidence chain: BaaN trial balance (HGB and IFRS streams) at the cutover date, Fusion trial balance at the same date, the hash-signed match, the mapping book version, the executable crosswalk version, the validation diagnostic log, the export-control sign-off (ITAR/DFARS), and the auditor signature pages. The pack is archived alongside the migrated data — searchable for the full SOX/HGB/IFRS/ITAR retention period with the original BaaN source references intact.

    Ready to scope your infor baan data validation framework?

    Book a 30-minute discovery call. We'll walk through your in-scope BaaN modules, multi-company HGB+IFRS profile, fiscal-period cadence, parallel-run requirements and auditor sign-off criteria — and confirm a concrete validation plan before the call ends.