How many trial loads are needed?

Several. The first exposes quality problems, later ones prove the process and timing. A single load before go-live is not a migration plan.

Should we migrate history?

Only what is genuinely needed — often open items plus limited history, with the rest archived and reportable. Migrating everything adds cost, risk and time for little benefit.

How does a erp data migration engagement start?

With a short discovery conversation and a written view of scope, risk and the decisions to be made. That view is useful to you whether or not the work continues.

How is a erp data migration engagement priced?

Scope and, where relevant, rules of engagement are agreed in writing before any work begins, and the engagement is a fixed fee for that scope or phased with a cost envelope per phase — so you know the cost and the boundaries up front. Larger pieces of work are broken into phases with findings delivered early rather than a single invoice at the end.

ERP · Build

ERP Data Migration

We treat ERP data migration as its own workstream, because the quality of what arrives in the new system sets the ceiling on everything built on top of it. We profile source data early to expose its true condition, so the cleansing effort is scoped on evidence rather than optimism. Cleansing happens in the source where possible, with business owners accountable for the result, and mapping and transformation rules are documented so loads are repeatable. We run several trial loads — the first finding the problems, the later ones proving the process and timing — and reconcile counts and values with formal sign-off before go-live.

In short

ERP data migration moves master and transactional data into the new system with cleansing, validation and reconciliation. It is where go-lives most often fail, which is why it deserves to be run as a workstream with a business owner rather than handled as a technical afterthought.

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What we do

The work inside erp data migration.

Profiling and quality assessment

We profile the source data early, before assumptions harden, to expose its true condition and the real effort cleansing will take. Knowing the actual quality up front is what keeps the migration plan honest and the timeline achievable.

Cleansing and enrichment

We cleanse in the source system where possible, with business owners accountable for the data they own rather than the project guessing. Fixing data at source means it is corrected once, for every use, instead of patched in transit and lost at the next load.

Mapping and transformation

We document the mapping and transformation rules so each load is repeatable and reviewable rather than a one-off act of interpretation. Documented rules are what let trial loads be compared and the final load trusted.

Trial loads and reconciliation

We run repeated trial loads and reconcile counts and values at each, culminating in formal sign-off before go-live. A single load the night before is not a migration plan; the repetition is what turns the real load into a known quantity.

What you receive

Deliverables, in writing.

Documented output your teams keep and can act on without us in the room.

Data profiling and quality report
Cleansing plan with business ownership
Mapping and transformation specifications
Trial load results, reconciliation and sign-off records

When this work helps

You may be facing this.

Data quality has not been profiled
Migration is treated as a technical task with no business owner
Only one trial load is planned

How an engagement runs

Discover, assess, design, deliver.

01
Discover
Understand the business drivers, decision rights, existing systems, and what the programme must genuinely change. We separate the outcomes that justify the investment from features that only sound useful, so the programme has a purpose to steer by.
02
Assess
Review process, data, integration, controls, governance, and change readiness against the plan. We report plainly where the plan holds and where it depends on assumptions that need evidence before commitment.
03
Design
Set out target processes, control requirements, data approach, integration model, and adoption plan. Each is documented well enough to build to and to hold a delivery partner accountable against.
04
Deliver
Support configuration, testing, cutover, and stabilisation, with independent oversight throughout. We hold the line on scope, data readiness, and controls, and surface drift while there is still time to correct it.

Where we work

Delhi, India — and wherever the work is.

Fidova provides ERP consulting from Delhi, India, and supports multi-entity and multi-country ERP programmes internationally, including businesses with different statutory and reporting requirements per region.

Engagements run in English, are scheduled around your time zone, and can be delivered remotely end to end, with on-site time planned where a phase genuinely benefits from being in the room.

Related services

Often needed alongside this.

ERP Testing & Quality Assurance

ERP testing and quality assurance verifies that configuration, integrations and processes work end to end before go-live. It is the discipline most often compressed to protect a date, which is precisely why the exceptions it should catch instead surface in production.

ERP Support & Maintenance

ERP support and maintenance keeps the system running and improving after go-live, under defined service levels. Good support is distinguished by falling incident volume: recurring issues are fixed at the cause rather than resolved, politely, for the tenth time.

ERP Training & Change Management

ERP training and change management prepares people for new ways of working and sustains adoption after go-live. Adoption, not configuration, is usually what decides whether a system delivers, and it is decided in the weeks after go-live rather than in the project plan.

All erp services

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