EasyRec

Reconciliation for complex financial transformation

EasyRec helps financial institutions validate migrations, upgrades and data transformations by reconciling millions of records across heterogeneous sources, and explaining every difference before sign-off.

10+ yearsin production at tier-1 banks
Seconds to minutesto reconcile millions of records
Multiple data sourcesdatabases, CSV, Excel, XML, JSON, files and more
Multi-way reconciliationup to 4 environments compared in a single run
How EasyRec works

From data comparison to break resolution

One framework to compare, analyse and monitor data across systems, environments and deliveries.

  1. 01

    Connect

    Read data directly where it lives, from databases, CSV, Excel, XML or JSON files. No ETL, no copies.

  2. 02

    Reconcile

    EasyRec suggests keys, mappings and tolerances for you, then compares millions of records in seconds to minutes.

  3. 03

    Analyse

    Drill down, classify breaks, assign root causes and validate them in a shared workflow.

  4. 04

    Monitor

    Re-run after every delivery, compare runs and track KPIs until sign-off, then keep running in BAU.

Why EasyRec

Reconciliation as a delivery accelerator, not a bottleneck

When reconciliation is slow, manual or dependent on a few experts, it becomes the delay. EasyRec turns it into a repeatable control.

Less project effort

One reusable configuration replaces hundreds of manual Excel checks, cycle after cycle.

Shorter validation cycles

Re-run the full scope immediately after each delivery, not weeks later.

Lower go-live risk

Full-population evidence instead of samples, with every difference explained, and no disruption to ongoing business.

Business in control

Business users configure and analyse reconciliations themselves, without waiting for IT.

Audit-ready by design

Every comment, validation and root cause is time-stamped and exportable for steering and audit.

Minimal implementation cost

Plug and play on existing infrastructure, priced per user and never by data volume.

Continuous monitoring

From reconciliation to continuous monitoring

Programmes are not validated in one run. EasyRec follows the whole journey to sign-off, delivery after delivery.

  • Batch dashboard: the status and match rate of every reconciliation in a run, at a glance
  • Run-to-run comparison: see what a patch fixed, and which regressions it reintroduced
  • Dynamic templates: one template loops over hundreds of reports and tables, with dynamic columns, conditional keys and tolerances
  • Steering exports: scope coverage and progress for steering committees
EasyRec batch dashboard: 99.99% match rate over 304,079 rows, 50 reconciliations with pass or fail status per template
Smart automated setup & analysis

From hours of configuration to immediate productivity

EasyRec profiles your data and proposes the reconciliation for you, then helps explain the breaks, so teams focus on decisions instead of mappings and spreadsheets.

  • Automatic discovery of reconciliation keys
  • Automatic column correspondence across naming conventions
  • Detection of columns to ignore (timestamps, technical IDs…)
  • Detection of column types, date formats and data structures
  • Quick Compare: reconcile files in any format in a few clicks
  • Global Pattern Analysis: recurring patterns highlighted across all breaks, not one break at a time
  • Root cause identification: breaks automatically linked to their root causes
  • User comments: every analysis and validation recorded with a full audit trail and versioning
BeforeWith EasyRec
Manual column mappingAutomatic column matching
Manual key identificationSmart key discovery
Trial-and-error setupOne-click setup
Time-consuming configurationImmediate productivity
Break-by-break investigationGlobal Pattern Analysis
Root causes found by handAutomatic RCA identification
Comments lost in e-mails and ExcelAudited, versioned user comments
1-way to 4-way

Compare every environment at once

Configuration drift is a major source of migration and release failures. EasyRec compares DEV, UAT, MASTER and PROD simultaneously in a single reconciliation run, and highlights exactly where environments diverge.

The same engine reconciles one dataset over different periods, or different datasets across up to four sources.

DEV, UAT, MASTER and PROD compared by EasyRec in a single 4-way runDEVUATMASTERPRODEasyRec4-way · 1 run
Example result: settings compared across the four environments, differences highlighted
SettingDEVUATMASTERPROD
CurveEUR-OISEUR-OISEUR-OISEUR-OIS
Rounding2224 (differs)
Cut-off18:0018:0017:30 (differs)17:30 (differs)
SettlementT+2T+2T+2T+2
Differences are highlighted per environment, in a single run.
Data agnostic

Any source against any source

CSV against a database, Excel against XML. Data is read in real time from where it lives and exposed as SQL tables, so you can join, filter and transform with standard SQL.

Investigation

Reconciliation is not only a number of breaks

Business users want to see the impact. EasyRec gives them the analytics to find the root cause, not just the mismatch.

Pivot analysis

Analyse differences by aggregated position with drill-down to the detail, in real time, on large data.

OLAP cube reconciliation

When a migration by position changes the number of rows, one-to-one matching fails. The cube reconciles aggregated and detailed figures in the same view, with user-defined formulas.

Break validation workflow

Categorise, prioritise, assign and validate breaks: Not analysed, In progress, Accepted, Rejected. Bulk updates, force match, versioning and a full audit trail.

Root cause assignment

Assign root causes automatically with best-matching rules and Excel decision tables, and create comments from business rules instead of one break at a time.

Under the hood

Everything a reconciliation project needs

Matching & tolerances

  • One-to-one, one-to-many, many-to-many
  • Relative and percentage tolerances
  • Rules-based tolerances per currency or business area
  • Date tolerances (e.g. “2d 12h”) for holiday calendars
  • Numeric, string, XML and JSON tolerances, on any column, keys included

Mappings & transformations

  • Mappings between different naming conventions
  • SQL, decision table, CSV, XML or properties mappings
  • Groovy user-defined actions for specific needs
  • Java plugin API for complex transformations

Reporting & KPIs

  • Excel reports with native formulas
  • PowerPoint dashboards for steering committees
  • CSV, HTML and database exports
  • KPIs from match ratios to breaks per user and category

Large data

  • Millions of rows per run
  • Lazy mode that streams to disk
  • Automatic split into sub-reconciliations
  • Scalable number of reconciliation engines

Automation

  • Headless batch mode, no GUI required
  • Scheduler integration: cron, Jenkins, Control-M, Autosys
  • Scriptable, usable as an API
  • Automatic report e-mailing

Governance

  • Read-only access to source systems
  • Audit trail by user, date, time and action
  • Configurations stored as XML, versioned in Git
  • No data copied or duplicated
  • ISO/IEC 27001:2022 certified vendor
Performance

Measured, not promised

2 sto reconcile 100,000 rows
20 sto reconcile 1,000,000 rows
60M+cash flows reconciled in about 30 minutes in production
“EasyRec was selected as the strategic solution for the Bank, providing control, reliability and increasing quality of deliverables.”
Project Director, DZ BANK (Germany)

Make reconciliation a control, not a bottleneck

See how EasyRec can secure your migration, upgrade or transformation programme, on your own data.