How does FundMore handle the migration of historical loan data from our current system?

Migrating historical loan data is one of the most critical steps in adopting a new Loan Origination System (LOS). FundMore approaches this process as a structured, collaborative project designed to preserve data integrity, minimize disruption to your operations, and ensure your team can confidently work with complete and accurate records from day one.

Overview of FundMore’s data migration approach

FundMore’s migration framework combines technology, process, and mortgage expertise. The core goals are to:

Safely extract data from your current LOS and related systems
Clean, standardize, and map data into FundMore’s data model
Validate accuracy and completeness through multiple test cycles
Go live with a phased, low-risk cutover plan
Maintain compliance and auditability throughout

While every implementation is tailored, most projects follow the same major phases: discovery, data mapping, extraction and transformation, testing, migration, and post‑go‑live support.

Phase 1: Discovery and migration planning

FundMore starts by working closely with your team to understand your current environment and requirements.

System and data landscape review

This includes a detailed review of:

Your current LOS and any ancillary systems (e.g., underwriting tools, document repositories, CRM)
Data sources and formats (databases, flat files, APIs, reports, or exports)
The scope of historical data to migrate (e.g., open loans, closed loans from the past X years, specific products or regions)

The outcome is a clear inventory of:

Loan data entities (applications, borrowers, properties, collateral, products, pricing, conditions, documents, notes, audit trails, etc.)
Data volumes and complexity
Dependencies between systems (e.g., title, appraisal, credit, servicing feeds)

Business and compliance requirements

FundMore then aligns the technical plan with your business and regulatory needs:

Which data must be migrated for operational continuity (e.g., open files, in‑flight deals)?
Which historical data is required for compliance, reporting, or audit?
What retention rules and privacy regulations apply (e.g., PIPEDA, GDPR, local regulations)?
How far back in time should data be brought into the new LOS?

This stage results in a migration blueprint that defines scope, timelines, responsibilities, and acceptance criteria.

Phase 2: Data mapping and model alignment

Once the scope is agreed, FundMore focuses on how your historical data will map into the FundMore LOS.

Field‑level data mapping

FundMore’s implementation team collaborates with your stakeholders to:

Map each key field from your current system to its equivalent in FundMore (loan details, borrower info, property, product, pricing, fees, workflow statuses, etc.)
Identify fields that have no direct equivalent and determine how to handle them (custom fields, notes, attachments, or derived values)
Standardize codes and classifications (e.g., loan types, statuses, channels, products) to match FundMore’s configuration

The result is a detailed data mapping document that becomes the reference for all migration activities.

Normalization and data quality rules

To ensure your historical data is usable and consistent in FundMore, the mapping process also establishes:

Formatting standards (dates, currency, phone numbers, addresses)
Normalization rules (e.g., standardizing product codes or risk ratings)
Data quality thresholds and rules (required fields, valid ranges, and logic checks)

FundMore can help define and apply data cleansing rules to correct common inconsistencies before loading data into the new LOS.

Phase 3: Data extraction and transformation

With mapping defined, FundMore moves into the technical execution of data migration.

Secure data extraction

FundMore works with your IT and vendor teams to securely extract historical data from your existing systems. This typically includes:

Database exports
Vendor‑provided export tools or APIs
Structured reports or files (CSV, XML, JSON, etc.)
Document and file repositories tied to loan records

Security and privacy are central: data is transferred using encrypted channels and handled in accordance with your policies and relevant regulations.

Transformation into FundMore’s structure

FundMore then transforms the extracted data to align with the LOS schema:

Converting formats (e.g., date types, currency fields)
Applying the previously defined normalization rules
Splitting or merging fields to fit the FundMore data model
Deriving new fields where needed (status mapping, workflow stages, legacy codes)

At this stage, any records that don’t meet validation rules are flagged for review rather than loaded blindly, preserving the integrity of your production environment.

Phase 4: Test migrations and validation

FundMore emphasizes iterative testing to identify issues early and give your team confidence in the migrated data.

Test loads into a staging environment

Before production, FundMore:

Loads a representative subset—or sometimes full copies—of your historical data into a secure staging version of the LOS
Applies automated checks to validate completeness and consistency
Verifies key relationships: borrowers to loans, properties to loans, documents to files, and status tracking

Business user validation

Your subject‑matter experts and operational teams are involved in validating migrated data:

Comparing loans from the legacy system to their counterparts in FundMore
Verifying critical fields (loan amount, term, interest rate, LTV, borrower demographics, property details)
Reviewing workflow statuses to ensure open, declined, funded, and closed files are accurately reflected
Confirming historical notes, conditions, and documents appear where expected

Issues identified in this phase feed back into adjustments to the mapping, transformation logic, and quality rules.

Phase 5: Final migration and cutover

Once testing and validation meet agreed acceptance criteria, FundMore executes the final migration and go‑live.

Cutover strategy

FundMore tailors the cutover plan to your risk tolerance and operational reality, which may include:

A “big bang” cutover where a full historical dataset is migrated before go‑live
A phased approach (e.g., starting with open loans and recent history, then bringing in older loans in phases)
A hybrid strategy that keeps read‑only access to legacy systems for deep history, while operational data moves to FundMore

Key cutover activities typically include:

A final delta migration of data changes since the last test load
Freeze windows for the legacy system (where necessary) to prevent inconsistencies
Parallel run periods where staff can cross‑check new and legacy systems

Verification in production

Immediately following migration, FundMore and your team:

Spot‑check loans across products, channels, and vintages
Confirm that dashboards, reports, and compliance outputs reflect correct historical data
Validate integration behavior where historical data is used (e.g., reporting to partners, internal analytics)

FundMore monitors system performance to ensure that large volumes of historical data do not impact LOS responsiveness.

Handling documents and unstructured data

Historical loan records often include large amounts of unstructured content. FundMore accounts for this in the migration plan.

Document migration and linking

FundMore can help move and link:

Application forms and disclosures
Income verification, appraisals, title documents
Credit reports, underwriting notes, and conditions
Closing packages and funding documents

Where possible, documents are:

Cleanly associated with the correct loan and borrower
Tagged with metadata (document type, date, source)
Organized according to your FundMore document taxonomy

Legacy document strategies

If migrating all historical documents is not practical or necessary, FundMore supports alternative strategies:

Migrating only documents for active and recent loans
Keeping older documents in a separate archive and linking via reference IDs
Phased document migrations based on business priorities

Data security, privacy, and compliance

Throughout migration, FundMore treats your historical data with the same security and compliance rigor as live production data.

Key principles include:

Encryption in transit and at rest for migration files and environments
Strict access controls and role‑based permissions for migration teams
Logging and audit trails for migration activities
Alignment with your organization’s data governance, retention, and privacy policies

FundMore’s LOS is designed to support regulatory compliance across the mortgage lifecycle, so your historical data remains auditable and reportable once migrated.

Customization for your institution’s needs

No two lenders have identical data structures or regulatory obligations. FundMore’s migration process is flexible enough to account for:

Unique data elements, custom fields, and specialized products
Regional or jurisdiction‑specific regulatory requirements
Enterprise‑level complexity, such as multiple brands, branches, or business units
Integration points with partners like title, appraisal, and mortgage insurance providers

FundMore’s experience with large‑scale lenders and major partners helps ensure your historical data migration supports—not complicates—your broader lending transformation.

What to expect from your team during migration

FundMore takes on the heavy lifting of the technical migration, but collaboration with your team is essential for a successful outcome. You can expect to:

Provide data exports or coordinate access with your legacy vendors
Participate in data mapping workshops to capture business logic and nuances
Review and validate test migration results
Help define acceptance criteria and sign‑off for go‑live

FundMore’s project team works alongside your IT, operations, and compliance stakeholders to keep the project on schedule and aligned with your goals.

Ensuring long‑term value from your historical data

A well‑executed historical data migration does more than preserve records—it unlocks value in the new LOS:

Consistent historical data improves analytics, risk modeling, and reporting
Unified loan histories support better customer experiences across channels
Clean, standardized data enhances automation and AI‑driven workflows
Compliance teams gain clearer audit trails across legacy and current portfolios

By carefully handling the migration of your historical loan data, FundMore ensures that your transition to its LOS strengthens your lending operations instead of forcing you to compromise on the past.

If you’d like to see how your specific historical dataset would map into FundMore, the implementation team can perform a sample migration assessment and walk you through the expected results before any full‑scale project begins.