How Much Does Data Migration for Business Systems Cost?
When replacing an ERP, CRM, or accounting system, the license itself is rarely the most expensive item. The quality of the data and the work required to transfer it often determine the budget. That is why there is no single answer to the question, how much does data migration cost? For a smaller company, the cost may be tens of thousands of Czech koruna, while an operationally complex business may spend hundreds of thousands or even several million. The difference is driven not only by the volume of records, but primarily by their structure, condition, relationships, and the required level of automation.
Data migration is not simply a matter of uploading a spreadsheet to a new system. It is a controlled process in which the company decides which data to transfer, how to clean it, exactly where to store it, and how to verify its accuracy in the new environment. A well-prepared project shortens the transition, reduces manual corrections, and maintains operational continuity.
How Much Data Migration Costs and What Really Determines the Price
The cost usually includes analysis, data preparation, the development of transformation rules or integration scripts, testing, the transfer itself, and post-launch support. The provider does not merely migrate database rows. It translates their meaning into the logic of the target system.
A simple migration of contacts, products, and basic sales data from a well-maintained CRM may cost approximately CZK 30,000 to CZK 100,000. A transition from an older accounting or ERP system involving customers, suppliers, inventory, price lists, orders, invoices, accounts receivable history, and accounting relationships often starts at CZK 150,000. For manufacturing, logistics, or e-commerce businesses with multiple warehouses, product variants, batches, links to external systems, and inconsistent historical data, the budget is usually significantly higher.
These ranges are indicative. Two projects with the same number of records can have entirely different costs. One hundred thousand clean contacts in a standardized export may be technically easier to handle than ten thousand products with different units of measurement, duplicate codes, and incomplete links to inventory records.
Condition of the Source Data
The biggest variable is the quality of the source data. If customers are duplicated across the CRM, accounting software, and several spreadsheets, simply exporting them is not enough. The company must determine which record is valid, how to consolidate the history, and who will decide disputed cases.
Costs increase because of missing mandatory fields, inconsistent address formats, different currencies, outdated product codes, and unclear data ownership. Historical data often contains values that the new system no longer supports. In such cases, mapping rules must be created, processes adjusted, or part of the history archived outside the operational database.
Number of Entities, Relationships, and Systems
What matters is not only how much data the company is transferring, but also what must remain connected. A contact may be linked to sales opportunities, quotes, orders, invoices, service requests, and marketing consents. A product may have variants, a bill of materials, suppliers, pricing tiers, warehouse locations, and production processes.
Each additional relationship increases the effort required for design, testing, and validation. Costs also rise when the data comes not from a single system, but from an ERP, CRM, e-commerce platform, accounting software, warehouse system, and separate Excel records. In this case, the goal is not merely to transfer data, but to create a single, trusted source of information.
What a Migration Project Should Include
A low-cost quote may seem attractive, but it is essential to verify exactly what it includes. If the provider prices only the file import, the rest of the work—cleaning, mapping, corrections, and validation—may fall to the internal team. This becomes particularly expensive when sales representatives, accountants, warehouse staff, and operations managers must all participate in fixing the data.
A high-quality project begins with data analysis. The migration scope, data sources, target structures, responsibilities, and exception rules are defined. Data preparation and transformation follow. Only then does the test migration take place, during which users verify not only the number of imported records but also their usability in day-to-day processes.
The final transfer is planned around the company’s operations. For some organizations, a weekend shutdown is sufficient. Others require a phased transition, synchronization of changes, or parallel operation. The price increases if the system must remain continuously available, for example for an e-commerce store, warehouse dispatch, or customer support.
Costs Often Missing from the Initial Estimate
The technical migration itself is only one part of the investment. The budget may also be affected by modifications to the target ERP or CRM, integration interface development, security requirements, user training, and post-launch support. If the new system does not yet have its reference data, permissions, and workflows configured correctly, the data cannot be safely imported in its final form.
Archiving also deserves attention. Not every historical order needs to be directly accessible in the new ERP. Transferring ten years of detailed transactions can cost significantly more than creating a searchable archive for accounting, complaints, and audits. The right decision depends on legal obligations, business needs, and how often historical data is used.
Another cost is the internal team’s time. The finance manager must confirm accounting rules, the sales team must verify contact quality, the warehouse team must validate inventory, and management must set priorities. The provider can manage the process, but it cannot decide on the company’s behalf which customer record, price list, or product code is correct.
Fixed Price or Time and Materials?
A fixed price makes sense for a clearly defined scope. The company knows the investment framework, and the provider takes responsibility for estimating the workload. This works particularly well when the source data is available, the target system is defined, and the number of exceptions is limited.
For older systems with unknown data quality, a two-phase model is often more practical. The project begins with a paid analysis and test export. The actual findings are then used to prepare a more accurate price proposal and schedule. This approach may initially seem slower, but it protects the budget from change requests that only emerge during implementation.
A good proposal clearly distinguishes what is included in the price: the number of migrated entities, the number of test rounds, the validation method, the scope of post-launch support, and the rules for data outside the agreed scope. Without this definition, quotes from different providers cannot be compared objectively.
How to Reduce Migration Costs Without Compromising Quality
The most effective savings do not begin with choosing the cheapest provider, but with preparation. Before the project starts, the company should appoint data owners, remove obvious duplicates, and decide how much history it genuinely needs in the operational system. Every record that does not need to be migrated reduces the cost of transformation, testing, and future administration.
It also helps to establish decision rules in advance. For example, which contacts will be merged, how inactive products will be handled, what will happen to incomplete orders, and whether historical invoices will be imported as detailed documents or only as summary balances. The fewer decisions left until the final week before launch, the lower the risk of delays.
Automation is valuable when the migration will be repeated or when changes must be synchronized regularly during the transition. A one-time file export may be more affordable for a small project. For a large-scale ERP transition, however, a reusable integration process reduces errors and makes it easier to connect systems afterward. This is where an experienced partner such as Logyloop should deliver value not only through the import itself, but also by designing data flows for ongoing operations.
The Cost Must Be Weighed Against Operational Risk
When making a decision, comparing migration prices is not enough. The impact of incorrectly transferred data must also be quantified. Incorrect inventory levels can halt dispatch, inaccurate prices can reduce margins, and an incomplete customer history can extend support resolution times. The cost of fixing problems after launch is often higher than that of a thorough testing phase before go-live.
A successful migration has measurable outcomes: record counts and control totals match, critical relationships work, users can find the information they need, and the new system supports the approved processes. The objective is not to transfer the maximum possible amount of data. It is to migrate the data that allows the company to sell, purchase, maintain its accounts, manufacture, and serve customers correctly from day one.
The best time to address migration is not one week before the new system launches, but when the company is defining its future processes. Asking the right questions at the beginning usually saves more money than aggressively negotiating rates at the end of the project.
