Self-serve infor ln historical reporting on archived data. Multi-year trial balance, AR/AP aging history, project profitability, production-order trace, fixed-asset depreciation — all queryable via SQL, REST or BI dashboards. No LN runtime required.
LN's native reporting was built for live operational queries — not multi-year historical analysis across archived data. Every historical request becomes a 2–5 day IT ticket.
Finance, tax, audit and operations users hit Infor LN with historical questions every week. What was the trial balance for German Financial Company 010 in Q3 2019? What were the project actuals on contract CON-2018-44 across its full lifecycle? Which suppliers were paid invoices over $100K during the disputed 2021 tax period? What was the yield rate on work center 4501-WC03 in calendar year 2020? Show me every material issue against production order PO-12345678. These are basic questions — and yet LN makes them painful.
Browser reports time out on multi-million-row pulls. Infor d/EPM dashboards require a current LN connection to render. Custom Baan-script extracts run sequentially and crash on large datasets. Once data ages past 18–24 months it gets archived via LN's native archive sessions, which produce flat-file outputs that aren't queryable without restoring back into a live LN environment. The practical result is the 2–5 day IT ticket — DBA pulled in, Baan developer pulled in, finance manager waiting — for what should be a 30-second dashboard query.
Syntra ETL's infor ln historical reporting platform inverts that. Archived data lives in queryable Parquet on cloud object storage with DD-derived schema and business-friendly column names. The query layer runs on standard cloud analytics (Athena, BigQuery, Snowflake, Presto) accessed via SQL, REST or pre-built BI dashboards. Finance, tax, audit and operations users self-serve. Historical queries complete in seconds. The legacy LN environment can be downsized or decommissioned because its historical workload has moved to the archive.
Ship-with-platform dashboards covering the highest-frequency historical-query patterns. All customizable, all running on the archive.
Trial balance per Financial Company per period across all retained years. Prior-year and prior-period comparison. Drill from summary line to journal detail to source document.
Income statement and balance sheet across all retained periods. Comparative analysis, ratio analysis, segment reporting. Currency translation history captured for IFRS audit.
Aging snapshots per customer/supplier per period for the full retention window. Collections forensics, write-off substantiation, supplier-payment-pattern analysis.
Per-project budget, actual, commit, billed, EVM, margin across the full project lifecycle. Contract-closeout substantiation and program-portfolio analysis.
Per-production-order operation history, material issue trace, labor posting, yield/scrap, work-center utilization — for warranty, FAA and part-serial audit.
Per-fixed-asset depreciation, impairment and disposal history across the full asset lifecycle. Multi-book (statutory, tax, IFRS) views per asset.
A repeatable workflow that has historical-reporting users productive on the archive within weeks. Typical: 4–8 weeks to GA.
Inventory the historical-query workload: which reports run today, which IT tickets recur, which audit fieldwork patterns are predictable. Output: pre-built dashboard scope plus custom-report backlog.
Map Parquet archive schema to business-friendly DD column names. Configure metadata catalog (Glue/Hive/Snowflake) so BI tools see clean column names rather than Baan-suffixed table fields.
Standard dashboards deployed: multi-year trial balance, P&L, BS, AR/AP aging, project profitability, production-order trace, fixed-asset history. Customized for customer company structure and COA segments.
Customer's existing BI stack (Tableau, Power BI, Looker, Qlik) connected to the archive via JDBC/ODBC/native connector. Existing finance/ops dashboards re-pointed at the archive.
Finance, tax, audit and operations users onboarded with role-based archive access. Auditor access patterns configured for external-audit windows. Historical-report IT-ticket queue starts to drain immediately.
Six distinct user personas, each with specific archive-query patterns supported out of the box.
Multi-year P&L, BS, trial balance per company; prior-period substantiation; year-over-year comparison; intercompany flow analysis; budget-vs-actual history.
German HGB SAF-T export; IFRS consolidation history; intercompany substantiation; multi-jurisdiction VAT trace; transfer-pricing documentation pulls.
SOX walkthroughs of closed periods; control-test evidence pulls; segregation-of-duties analysis from tlogfile audit-trail; financial-statement assertion testing.
PwC/Deloitte/KPMG/EY data-room population; self-serve query against scoped archive credentials; signed evidence packs for working papers.
E-discovery for litigation; contract-dispute substantiation; tlogfile audit-trail forensics; legal-hold scoped queries with chain-of-custody preserved.
Warranty research; customer-service historical lookups; part-serial trace for FAA airworthiness; production-yield analysis for engineering improvement.
Infor LN historical reporting is the practice of providing self-serve query and dashboard access to closed and archived LN data — multi-year trial balances, paid AP invoice history, completed project actuals, closed production-order traces, retired fixed-asset depreciation — without requiring an active LN environment or runtime licence. Primary users are finance (multi-year P&L analysis, year-over-year comparisons, prior-period substantiation), tax (German HGB SAF-T retrieval, IFRS consolidation history, intercompany substantiation), internal audit (SOX walkthroughs of closed periods), external audit (PwC/Deloitte/KPMG/EY data-room population), legal (e-discovery for litigation and contract disputes), and operations (warranty research, customer-service historical lookups, part-serial trace).
LN's native reporting was designed for live operational queries against the current period — not multi-year historical analysis across archived data. Browser reports time out on large datasets. Infor d/EPM dashboards require a current LN connection to render. Custom Baan-script extracts run sequentially and crash on multi-million-row pulls. Once data ages past 18–24 months it gets archived via LN's native archive sessions, which produce flat-file outputs that aren't queryable without restoring back into a live LN environment. The practical result: every historical report request becomes a 2–5 day IT ticket involving DBA, Baan developer and finance — for what should be a 30-second dashboard query.
By extracting LN data into a queryable cloud archive (Parquet on S3/GCS/Azure Blob) with full LN DD-derived schema, business-friendly column names and the original record-ID preserved as cross-reference. The query layer runs on standard cloud analytics (Athena/BigQuery/Snowflake/Presto) accessed via SQL, REST API or pre-built BI dashboards (Tableau, Power BI, Looker, custom React). No LN runtime, no Baan-script developer, no DBA ticket — finance, audit and tax users self-serve directly against the archive. Customers report typical historical-query SLAs dropping from days to seconds, and the legacy LN environment can be downsized or decommissioned because its historical-query workload has moved to the archive.
Pre-built dashboards covering the highest-frequency historical-query patterns: multi-year trial balance per Financial Company per period, multi-year P&L and balance sheet with prior-year/prior-period comparison, AR aging history per customer per period (for collections forensics and write-off substantiation), AP aging history per supplier per period, project profitability history per project per period with EVM trace, fixed-asset depreciation history per asset per period, intercompany flow analysis per company-pair per period, production-order yield/scrap history per work-center per period, item-master change history (for ITAR/DFARS audit trails). All built on the archived data, all queryable without LN runtime, all customizable per customer.
Yes — and they routinely do. Syntra ETL's archive supports auditor access patterns natively: read-only scoped credentials provisioned for the audit window, role-based access control to limit visibility per audit firm and engagement, full audit-trail logging of every query (who ran what against which period, when), data-room export packs (CSV/Excel of queried tables with hash-signed integrity manifests) for offline review, and signed evidence packs proving query-result integrity. PwC, Deloitte, KPMG and EY teams running on the archive routinely complete fieldwork 30–50% faster than fielding LN screen-shots and SQL extracts via the customer's IT team.
German HGB requires 10-year retention of invoices, journals and statutory financial records, plus the ability to produce SAF-T (Standard Audit File for Tax) exports on tax-authority demand. IFRS demands traceable evidence from current consolidated financials back to originating sub-ledger and source document across all consolidation periods presented. Syntra ETL's archive preserves the full HGB document chain (invoice → journal → ledger line → trial balance) and supports SAF-T export directly from the archive without LN intervention. IFRS consolidation history is queryable across all periods presented, with intercompany eliminations, currency translations and adjustments captured at the source-system fidelity.
Yes. Aerospace customers under FAA 14 CFR Part 21/145 retain part-serial-level maintenance, configuration and airworthiness records for the life of the airframe — often 30+ years. Defense customers with ITAR/DFARS exposure retain contract-specific records for the contract life plus 7–10 years post-close. Syntra ETL's archive supports both: part-serial history queries traversing production order → operation → material lot → vendor → certificate-of-conformance; ITAR/DFARS-tagged records routed through isolated encrypted pipelines never leaving the customer cloud boundary; auditor access logs captured for DCMA and DSS audit production. The archive replaces the burden of keeping ancient LN environments alive for 30+ years.
Yes. The archive query layer exposes standard analytics interfaces — JDBC/ODBC, REST APIs, native connectors to Tableau, Power BI, Looker, Qlik, ThoughtSpot, Mode and Hex. Customers commonly point their existing finance/operations BI stack at the archive and treat it as a standard data source. The DD-derived schema with business-friendly column names means BI developers don't need to learn LN's Baan-table conventions. For ad-hoc analysis, the archive also supports direct SQL via Athena/BigQuery/Snowflake notebooks. Multi-year analytics that used to require warehouse ETL of LN data now run directly against the archive without an intermediate pipeline.
30-minute call. Walk through your historical-query workload, retention obligations and BI tool environment — leave with a concrete infor ln historical reporting deployment plan.