Data Discovery and Profiling
Inventory sources and assess completeness, format, duplication, anomalies, lineage, and ownership.
Data Migration
Profile, cleanse, map, transform, reconcile, validate, migrate, and archive financial data through a controlled business process.
Data definitions, mappings, exceptions, and acceptance remain accountable to business owners.
Control totals and record-level validation demonstrate completeness and accuracy.
Access, transfer, storage, backup, rollback, and evidence are controlled throughout.
Overview
Data migration is successful when the target system contains complete, accurate, authorised, reconciled, and usable information—and the institution can prove it. We connect business ownership, data rules, technical execution, privacy, security, testing, exceptions, cutover, and audit evidence.
What We Deliver
The work combines technical migration with the business decisions needed to accept the result.
Inventory sources and assess completeness, format, duplication, anomalies, lineage, and ownership.
Define approved rules for correction, standardisation, deduplication, enrichment, and exceptions.
Trace source fields and business meaning to target structures, rules, and reference data.
Use control totals, samples, exceptions, business review, and repeatable acceptance evidence.
Test tools, timing, dependencies, data quality, security, reconciliation, and rollback procedures.
Control the final transfer, acceptance, legacy access, retention, disposal, and audit trail.
Our Approach
Multiple controlled cycles reduce uncertainty before production cutover.
Identify data, owners, quality, legal requirements, risks, and acceptance criteria.
Cleanse data, approve transformations, manage exceptions, and establish traceability.
Run repeatable migrations, validate outcomes, measure timing, and close defects.
Execute the approved plan, reconcile results, obtain acceptance, and secure legacy data.
Designed for Your Context
Controls are adapted to the sensitivity, volume, complexity, and operational impact of the data.
Common Questions
We begin with a focused discovery conversation to understand your objectives, current environment, constraints, stakeholders, and required outcomes before recommending a scope.
Yes. Work can be organised into assessment, planning, implementation, assurance, and capability-transfer phases so that investment and delivery risk remain manageable.
We work alongside business, technology, risk, compliance, and leadership teams with clear responsibilities, documentation, decision records, and practical knowledge transfer.
Yes. We can work with existing technology vendors, implementation partners, advisers, and internal teams while keeping responsibilities, decisions, dependencies, and assurance requirements clear.
Useful inputs include the intended outcome, current environment, affected stakeholders, known constraints, relevant obligations, expected timing, and any previous assessments or plans that can be shared appropriately.
Information is limited to what is necessary for the engagement and handled through agreed access, confidentiality, security, retention, and communication arrangements. Sensitive information should not be sent before suitable safeguards are in place.
Start a Conversation
Tell us what your institution needs to improve, replace, secure, or prepare for. We will help you define a practical next step.