Prove your data moved correctly.
ShipDataFast helps financial-services and data teams reconcile critical data across migrations, integrations and operational systems. Find missing, changed and mismatched records before they become production problems.
From financial platforms and vendor feeds to databases, ledgers, APIs and data warehouses.
Account | Position | Currency | Value
Account | Position | Currency | Value
Conceptual illustration. Runs deterministically inside your security perimeter.
Migration Reconciliation Readiness Review
£1,500 + VAT. 2 days. No access to your data needed.
Before a mock load, parallel run or cutover, we review how your reconciliation is set up:
- Matching keys: what makes a source record and a target record the same.
- Tolerances: the acceptable variance at each level.
- Expected differences: the known, accepted differences agreed up front.
- Ownership: who owns each difference.
- Sign-off: who signs off, and on what evidence.
You get a written list of gaps to close before the load.
Next step if you need it: Migration Sign-off Check: £3,750 + VAT, 5 days.
Your systems moved the data. Did they preserve its meaning?
System A says 10,004,219 records. System B says 10,004,101. We find the other 118.
Pipelines execute without throwing code exceptions, yet balances diverge, rounding rules create subtle drift, and critical position rows vanish during migration. Typical situations we check for:
- 12 million records migrated: Can you independently prove all 12 million arrived without distortion?
- Aggregate totals match, but positions do not: Compensating errors mask offsetting discrepancies.
- Transformation shifts: Records exist in both systems, but values silently altered during ETL.
- Vendor feed schema mutations: Upstream feed changes break downstream consumption silently.
- Timing cut-off differences: Transaction cut-offs and timezone differences generate false discrepancies.
- Currency & decimal precision: Discrepancies caused by floating-point rounding vs fixed decimal ledgers.
- Composite keys & disparate models: Legacy and target systems represent the same business object differently.
We provide deterministic reconciliation and migration assurance so your stakeholders have auditable evidence.
Deterministic reconciliation. Every difference explained.
We prioritize reconciliation and migration assurance, supported by disciplined data engineering.
Compare source and target systems and explain every mismatch.
Migration reconciliation, transaction and balance reconciliation, ledger comparison, source-to-target verification, and systematic exception analysis.
Prove data survives migration and transformation intact.
Completeness and volume checks, transformation validation, mapping verification, pre/post cutover comparison, and record-level discrepancy auditing.
Build automated controls around critical data flows.
Schema validation, business-rule validation, ingestion assertions, data-quality automation, and reusable reconciliation pipelines.
Reconcile systems, not just files.
ShipDataFast is not limited to CSV exports. We work from extracts of databases, ledgers, vendor feeds, and trading and investment systems, before and after transformation.
SOURCE SYSTEMS
- • Trading & Investment Systems
- • Market Data & Reference Feeds
- • Core Ledgers & Subledgers
- • Operational Databases (PostgreSQL, SQL Server, Oracle)
- • REST APIs & Message Feeds
- • Legacy Platform Data Stores
- • Complex Structured Files (CSV, XML, JSON)
TARGET SYSTEMS
- • Replacement Platforms
- • Cloud Data Warehouses (Snowflake, BigQuery, Redshift)
- • Downstream Reporting & Risk Layers
- • General Ledgers & Accounting Feeds
- • Regulatory & Compliance Submissions
- • Downstream Operational Microservices
- • Next-Generation Cloud Databases
Background: Ivano Mannella has worked as an employee and consultant for UK pension insurance and asset management firms on data and validation work around their trading and investment systems.
Reconciliation Diagnostic
A bounded engagement to determine whether two critical systems actually agree, when you need the comparison run, not just reviewed.
Rather than committing to an open-ended consultancy contract, start with an explicit assessment on your two most critical datasets:
- Source/target assessment: Evaluating schemas, cut-offs, and identifier stability.
- Matching-key definition: Mapping composite identifiers, transformation logic, and tolerances.
- Representative reconciliation: Executing automated comparison on sample or full extraction fixtures.
- Exception classification report: Categorizing missing records, transformed values, and timing differences.
- Automation roadmap: Recommendations for continuous, repeatable reconciliation.
Reconciliation tooling that works within your perimeter.
We build bespoke local-first validation and reconciliation tools for your needs, or run the comparisons, validations and reconciliations ourselves from files and rules you supply. Either way, sensitive datasets stay inside your security boundary.
ShipDataFast Reconciliation Engine
“Where do these datasets disagree?”
Compares corresponding records across two separate datasets (source and target) under explicit matching, mapping, and numeric tolerance rules.
| Key | Source | Target | Diff |
|---|---|---|---|
| A-1 | 10.00 | 10.00 | 0.00 |
| A-2 | 20.50 | 21.50 | +1.00 |
ShipDataFast Data Validation
“Does this data satisfy its rules?”
Evaluates a single dataset against defined criteria such as mandatory presence, uniqueness, ISO format patterns, and numeric ranges.
| Field | Rule | Result |
|---|---|---|
| account_id | Required | Passed |
| amount | >= 0.00 | Failed (-5.00) |
Your financial data does not need to leave your environment.
ShipDataFast reconciliation workflows can operate entirely inside client-controlled infrastructure.
Sensitive financial records, account balances, trade details, and customer identifiers remain strictly inside your organisation's security perimeter. Our tooling runs locally or within your designated VPC, generating auditable mismatch logs without third-party cloud data transmission.
Built for high-stakes financial data.
ShipDataFast is a specialist consultancy founded by senior data engineer Ivano Mannella (TR Seeds Ltd), dedicated to proving that critical data moves accurately.
Ivano has worked as an employee and consultant for UK pension insurance and asset management firms on data and validation work around their trading and investment systems. We replace guesswork and opaque manual comparisons with deterministic, repeatable checks.
Frequently asked questions
Direct technical answers regarding our consulting scope, validation rules, and reconciliation methodology.
What is the difference between data validation and data reconciliation?
Data reconciliation compares corresponding records across two separate datasets (such as source and target systems) to detect discrepancies and missing items. In contrast, data validation evaluates a single dataset against explicit criteria (such as required fields, unique keys, and numeric thresholds) without requiring a second comparison dataset.
When should a company reconcile data instead of validating it?
You should use data reconciliation during system migrations, cross-platform integrations, or ledger synchronizations where data exists in two places and must agree. Use data validation at data ingestion boundaries to enforce schema constraints, field formatting, and business rules before data reaches downstream pipelines.
Does ShipDataFast consulting or software require uploading data to external cloud servers?
No. ShipDataFast consulting and specialized tools are designed for zero-trust, local, or client-controlled environments. Workflows and comparisons run directly within your designated infrastructure, ensuring confidential financial records, client identifiers, and confidential data never leave your secure perimeter.
What data formats and sources are supported for consulting and reconciliation?
Our engineering workflows support relational databases (PostgreSQL, MySQL, SQL Server), delimited formats (CSV, TSV), JSON/REST APIs, and warehouse exports. Matching contracts and validation suites are configured to fit your specific source-to-target architecture.
How does ShipDataFast differ from large monolithic close-management platforms?
Unlike broad accounting platforms focused on month-end financial close, ShipDataFast specializes in engineering pipeline integrity and cross-system migration checks. We deliver targeted, verifiable data engineering workflows in weeks rather than requiring multi-month provisioning cycles or long-term platform subscriptions.
Why choose specialized data engineering consulting over general IT consultancy firms?
Generalist consulting firms typically deploy large, multi-tier teams focused on broad advisory work. ShipDataFast provides direct, hands-on senior engineering with dedicated matching and validation tooling, solving concrete data discrepancy problems with deterministic code and rapid handovers.
How do you prevent vendor lock-in for data validation and reconciliation workflows?
Every engagement prioritizes client autonomy. We provide fully documented matching specifications, transparent rule configurations, and auditable deliverables that run inside your perimeter, ensuring your internal team retains complete operational control without lock-in to our tooling.
What does your data need to get right?
Tell us which systems are involved, what differences or discrepancies you are seeing, and when you need an answer. A short description is enough to start a technical conversation.