---
title: "How do you prevent call history from being lost during a contact center migration?"
url: "https://pegamento.nl/en/contact-center/how-do-you-prevent-call-history-from-being-lost-during-a-contact-center-migration/"
lang: "en"
type: "post"
description: "Preserving call history during a contact center migration requires more than just good technology. Discover how."
last_modified: "2026-11-03T07:07:25+00:00"
categories: [Contact Center]
translations:
  nl: "https://pegamento.nl/contactcenter/hoe-voorkom-je-dat-gespreksgeschiedenis-verloren-gaat-tijdens-een-contactcentermigratie/"
---

# How do you prevent call history from being lost during a contact center migration?

Call history is lost during a contact center migration when there is no structured migration plan for historical data, when source and target formats are not aligned, or when the focus is entirely on the technical switch and data is treated as an afterthought. By inventorying in advance which data you want to keep, how it is stored, and what the technical requirements of the new platform are, you can significantly limit the risk of data loss. In this article, you will find answers to the most frequently asked questions about preserving customer history during a contact center data migration.

## Which call data is most at risk during a contact center migration?

The data most at risk during a contact center migration includes recording files, transcripts, interaction metadata, and call notes stored in proprietary formats of the old system. This specific data is often highly dependent on the unique structure of the source platform and does not naturally align with the architecture of a new system.

Specifically, these are the categories that are most often lost:

- **Voice recordings** stored in a platform-specific audio format or on the provider’s servers

- **Call notes and wrap-up codes** that are not linked to a customer profile but to a session ID in the old system

- **Chat histories and email threads** archived in a format that the new platform does not recognize

- **Metadata such as timestamps, channel type, and routing information** that is lost if fields do not match one-to-one

- **Historical customer scores and satisfaction data** stored in a separate analytics system that is not migrated

The older the source platform, the greater the chance that data is stored in formats that modern systems do not support by default. Furthermore, providers of legacy systems do not always provide full access to raw data, which complicates the export process.

## How does data migration work technically when switching to a new contact center?

Technical data migration during a [contact center migration](pegamento.nl/en/contact-center-technology/) typically proceeds in four steps: extraction from the source system, transformation to the target format, validation of the converted data, and import into the new platform. The complexity lies mainly in the transformation step, as field structures, data types, and relationships are rarely identical between two systems.

In the extraction phase, you retrieve data via an API, a direct database export, or an export function provided by the vendor. Not every platform offers all three options. Subsequently, the data is transformed: field names are mapped, date formats are standardized, and missing mandatory fields in the new system are filled with default values or flagged for manual review.

Transformation is followed by validation: you compare sample records in the source with records in the destination and check whether relationships have remained intact. Only when validation succeeds is the data definitively imported. In most projects, extraction and import are repeated several times so that you can refine the approach before going live.

## What do you need to arrange before the migration begins?

Before you start a customer contact migration, you must have at least four things arranged: a full data inventory of the source system, clear agreements with both providers regarding export rights and formats, an established retention policy for historical data, and a technical mapping between source and target fields. Without this foundation, the risk of data loss or a failed migration is significant.

Go through this preparation step by step:

- **Inventory all data sources:** map out where call data is stored, including recording servers, CRM integrations, analytics systems, and archives

- **Establish a retention policy:** determine which data you want to take with you, which you will archive, and which you will delete, taking legal retention periods into account

- **Request export documentation:** have the current provider confirm in writing which data is exportable, in what format, and under what conditions

- **Create a field mapping:** compare the data structure of the source system with that of the new platform and document how each field is translated

- **Create a backup:** ensure a full, validated copy of all data to be migrated before the migration process starts

- **Set up a rollback plan:** define what happens if the migration fails and how you return to a working situation

Also involve your privacy officer in this phase. When moving customer data, GDPR requirements apply in full, including data processing agreements with any new parties.

## How do you test if call history has been transferred correctly?

You test whether call history has been transferred correctly through a combination of automated reconciliation and manual sampling. Compare the total number of records in the source with the number in the destination, check individual customer files at random, and validate whether relationships between records have remained intact.

A good testing procedure consists of three layers:

- **Quantitative check:** count records per category (calls, emails, chats, notes) and compare the numbers in source and destination. Deviations of more than a small percentage require immediate investigation.

- **Qualitative sampling:** randomly select a representative set of customer files and manually check whether the call history is complete and correctly displayed in the new system

- **Functional test:** have employees work in a test environment with migrated data and check whether they can look up, filter, and use customer history as expected

Also test edge cases: customers with a very long call history, customers who have communicated via multiple channels, and cases where call notes contain special characters or attachments. It is precisely these exceptions that fail if the transformation logic is not robust enough.

## What do you do if call history is lost after the migration anyway?

If call history has been lost after a contact center migration, the first step is to determine the extent and cause of the loss. Check if the data is still available in the backup of the source system, in an archive, or with the previous provider. In many cases, data is not permanently gone, but temporarily inaccessible or incorrectly mapped.

Then perform the following actions:

- **Activate your rollback plan** if the loss is extensive and the operation is directly affected by it

- **Consult the backup** you made before the migration and determine which records need to be re-exported and re-imported

- **Contact the previous provider** to find out if data is still on their servers and if an additional export is possible

- **Document the loss** accurately for internal reporting and any GDPR notification obligation if personal data is involved

- **Analyze the cause** before attempting a recovery, so you don’t reintroduce the same problem

Prevention is always better than recovery. But if things do go wrong, a well-documented backup is the most reliable lifeline.

## When is it smart to migrate call history in phases?

Phased migration of call history is smart when the data volume is large, when the data comes from multiple sources with different structures, or when the organization cannot take the risk of a full migration all at once. By working in phases, you can manage risks and improve the approach based on experiences from previous phases.

Typical scenarios where phased migration is preferred:

- You are migrating multiple departments or locations to a new platform and want to validate per unit before proceeding

- Historical data goes back several years and a full migration would unnecessarily delay the go-live

- Older data has a different structure than recent data, requiring separate transformation logic

- You want to go live with new calls first and load historical data in a second phase when the operation is stable

A common approach is to migrate recent customer history (for example, the past twelve months) immediately and archive older data separately or import it in a later phase. This gives employees immediate access to the most relevant information while limiting the risk during the go-live.

Keep in mind that phased migration requires more coordination and that employees may temporarily work with two systems. Ensure clear agreements on which system is leading for which period.

## How Pegamento helps preserve customer history during a migration

A contact center migration where call history remains fully intact requires more than just good technology. It requires a structured approach, experience with diverse source systems, and a partner who not only advises but also takes on the execution. That is exactly what we do at Pegamento.

We guide the entire process from analysis to implementation and ongoing optimization, with one point of contact for the total package. No complex vendor coordination, but everything under one roof. What we specifically arrange for you:

- **Data inventory and risk analysis** of all sources and formats in your current environment

- **Technical field mapping and transformation logic** tailored to your source and target platform

- **Automated reconciliation and sample validation** to confirm that data has been transferred correctly

- **Phased migration planning** where we manage risks without unnecessarily delaying the go-live

- **Integration with existing systems** such as your CRM, so that customer history is directly available to employees via our [omnichannel communication solutions](pegamento.nl/en/omnichannel-business-telephony/)

- **Information security assurance** in accordance with ISO 27001, ISO 9001, and ISO 26000 throughout the entire migration process

We work with a smart combination of proven modules: no costly custom work, but tailored solutions with standard building blocks that align with your processes and objectives. Want to know how we can safely move your customer history to a new platform? [Contact us](https://pegamento.nl/en/contact-us/) and we will be happy to think along with you.

## Frequently Asked Questions

###
How long does a typical contact center data migration take, including preserving call history?

The lead time for a contact center data migration depends heavily on the data volume, the number of sources, and the complexity of the transformation logic. A smaller migration with one source system and a limited historical dataset can be completed in four to six weeks, while projects involving multiple departments, legacy systems, or years of call data can easily take three to six months. Always plan extra time for the validation phase, as this is most often underestimated in practice.

###
What are the most common mistakes organizations make when migrating customer history?

The most common mistake is starting the technical migration without having a full data inventory and field mapping in order. Other common mistakes include: not requesting export documentation from the current provider in time, forgetting data stored in linked systems such as a separate analytics system or archive, and skipping the validation step because the go-live date is approaching. It is precisely that time pressure at the end of a project that leads to errors that are difficult to correct afterwards.

###
Should you move all historical call data to the new platform, or is selective migration wiser?

Selective migration is wiser in most cases than blindly transferring everything. Determine in advance which data is operationally relevant for employees, which data you are legally required to keep, and which data you can safely archive or delete. A practical rule of thumb is to migrate active customer history from the past twelve to twenty-four months immediately and archive older data in a separate system that remains accessible. This limits migration complexity and reduces the risk of data loss during the go-live.

###
How do you handle GDPR obligations when moving historical customer data to a new platform?

When moving historical customer data to a new platform, GDPR requirements apply in full: you need a valid processing basis, you must enter into a data processing agreement with each new party that processes the data, and you must be able to demonstrate that the data is transferred securely. Also check whether the retention periods for the historical data are still up to date: data that you should have already deleted should not be taken to the new system. Involve your privacy officer or a GDPR advisor early in the process so that compliance does not cause delays just before the go-live.

###
Can employees continue to work during the migration, or is downtime required?

Whether employees can continue working during the migration depends on the chosen migration strategy. With a phased approach where new calls are already handled in the new system while historical data is still being loaded, downtime is often minimal or even completely avoidable. In a big-bang migration where everything is transferred at once, a planned maintenance window is usually unavoidable. In both cases, keep in mind that employees may temporarily work with two systems and provide clear instructions on which system is leading for which information.

###
What do you do if the current provider does not cooperate in exporting your data?

If a provider refuses or restricts the export of your data, the first point of contact is your contract: check if agreements were made regarding data ownership and export rights upon termination of the agreement. Under the GDPR, as a data controller, you have the right to access the personal data that your provider processes on your behalf. If necessary, seek legal support and document all communication carefully. Prevent this scenario in the future by always including explicit export agreements and data portability clauses in new contracts.

###
How do you ensure that migrated call history is also correctly visible to employees in the new system?

Technically correct data import is only half the battle: the data must also be functionally usable for employees in their daily work process. Therefore, test not only whether records are present, but also whether employees can look up, filter, and interpret customer history as they are used to. Actively involve a group of end users in the acceptance test and collect targeted feedback on what is missing or unclear. Also ensure that field names and status codes in the new system are recognizable to employees, so that migrated data does not cause confusion compared to new calls.