
Digitization in the middle class: How to measure your success
Digitization is no longer a trend for medium-sized enterprises, but a need to remain competitive. But how to measure the success of Digitalisie...

Get a realistic budget range for your migration project.
In brief
The investment frame for a data migration is EUR 5,131 – 13,637,575 excl. VAT. Volume, quality and the target system move the project inside that band.
The upfront cost can be spread over 72 months. Terms are on the software financing page.
Related: legacy modernization.
The calculation follows six visible stages. All figures remain planning values until scope and assumptions have been reviewed.
1. Capture inputs
The calculator records the visible project, volume, complexity and operating parameters selected on this page.
2. Add fixed components
Fixed base modules and selected add-ons are added without mixing them with recurring charges.
3. Apply multipliers
Quantity, complexity and scope factors multiply only the cost components identified for them in the calculator model.
4. Create the range
The calculator applies its documented lower and upper uncertainty factors to the base result; ROI views keep investment and savings visible separately.
5. Round and calibrate
Monetary result fields are rounded to the nearest whole euro. Public project-cost components are calibrated with the centrally maintained display factor.
6. Classify the result
The result is shown as non-binding guidance. A binding quote requires scope, data, integrations, risks and acceptance criteria to be reviewed.
Efficiency or discount factor: A central display factor of 0.7 is applied to public project-cost components to keep all calculators aligned with the currently reviewed pricing basis. It is not a customer-specific discount; customer-entered wages, revenues and existing operating costs are not reduced.
Why this is not a binding quote: The calculator cannot verify complete requirements, third-party dependencies, data quality, legal constraints or acceptance criteria.
Concrete project profiles with assumptions and indicative budgets—useful for internal alignment alongside the calculator.
FAQ
Cleansing, deduplication, business rules and reconciliation usually dominate the timeline.
The calculator captures how messy sources and tight cutover windows amplify that work.
Near-zero-downtime cuts need continuous sync, extra testing and rehearsed failback.
Weekend-only windows look cheaper on paper but can hide overtime and rollback risk.

Want a migration runbook outline?
We align stakeholders on dry-runs, sign-off and communication.
Entity counts, checksums or hashed keys per batch plus targeted business samples.
For finance or compliance domains we document evidence per load.
No.
One-off migrations can rely on scripted pipelines if monitoring and rollback are explicit. Repeatable loads justify investing in reusable components.
The biggest lever is the data quality of the source systems: duplicates, inconsistent formats and missing mandatory fields noticeably increase the effort.
On top of that come the number of sources, the complexity of the field mappings and the scope of required transformations. You can roughly estimate these drivers in this cost calculator via data volume and number of systems.
Poor data quality is the most common reason for budget overruns in migration projects.
Every cleansing and clarification step takes time because business decisions are often needed. In our experience an upfront data profiling pays off to make the real effort visible early.
Each mapping describes how a source field is transferred into the target system, including type conversions and rules for special cases.
Complex 1:n or n:1 relationships drive the effort because they require individual logic. In this cost calculator the number of objects to be mapped directly affects the estimated effort.
Validation ensures that records arrive complete, correct and consistent in the target system.
Common methods are automated reconciliation of totals, sampling and business plausibility checks. This verification layer is not an optional extra but protects against expensive corrections after go-live.
During the cutover the final data set is transferred within a defined time window and the legacy system is retired.
Cost drivers are the acceptable downtime, fallback scenarios and the dress rehearsal before the cutover date. A well-rehearsed cutover significantly reduces risk and follow-up costs.
Small migrations with clean data often range from the low four-figure to the lower five-figure area, while complex multi-system migrations can be considerably higher.
These ranges are values from our project experience, not fixed prices. The value in this cost calculator serves as a first orientation for your budget planning.
Quality check, mapping, test migration, and cutover—so data migration doesn't end 30% over budget.
1. Data quality check
We check source and target for data quality, duplicates, and inconsistencies. Cleanliness before migration saves expensive corrections later.
2. Mapping and migration scripts
We define mapping per data class and develop traceable migration scripts. Flat per data class.
3. Test migration and validation
We migrate into a test environment and check with the business. Typical bugs happen here—not at cutover.
4. Cutover and hypercare
We calculate cutover weekend and hypercare. So daily business stays stable.
| Model | When it fits | Budget & flexibility | Typical risks |
|---|---|---|---|
| Fixed price (fixed scope) | Clearly defined scope, stable requirements, repeatable delivery. | Predictable total cost; little room for change without a change order. | Scope creep leads to change orders or quality trade-offs. |
| Time & Material | Discovery, legacy, evolving requirements, or close collaboration. | Maximum flexibility; budget transparent via hourly or daily rates. | Without prioritisation, effort can grow—backlog and reviews matter. |
| Retainer / maintenance package | Ongoing operations, updates, small features, and support. | Agreed capacity per month; predictable follow-on cost. | Large changes may still need a separate estimate. |
| Hybrid (milestone + T&M) | MVP or phased releases with clear go-lives, then iterate. | Core delivery fixed price; extensions on a time-and-materials basis. | Define contractually what is in scope vs. extra work. |
Calculators on this page provide indicative ranges; we choose the right model with you based on risk, scope, and planning horizon.
The ranges shown are indicative. For a binding quote we discuss scope, priorities and funding options in a free intro call. Many digitalization projects qualify for grants – try our funding calculator.
Browse all cost calculators, explore services and typical solutions. Questions about data migration? Contact us.
After using the data migration calculator, validate assumptions in a short intro call.
Browse all cost calculators in the costs overview.
How much does your migration cost?
Interactive estimate based on your inputs.
Non-binding project range from the software cost calculator: EUR 10,332 – 372,623 excl. VAT.
Methodology: The estimates are based on historical project data, complexity drivers and standard implementation assumptions. Results are a non-binding indication only; effort and price must be calculated individually.
If you are still deciding
If you are ready to implement
Calculator overall range
EUR 14,000–210,000 excl. VAT, depending on codebase and migration risk
The overall range is derived from the valid parameters of the relevant cost calculator.
Typical duration
2–15 months
Main risk drivers
Non-binding indication
This result is only a non-binding indication based on typical assumptions. Effort and price must be calculated individually for your project.
Blog posts that put budget, effort and typical project paths for this calculator in context.

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