Skip to content

Data Migration

Data Migration Services That Move Your Data Accurately, Securely, and With a Planned Cutover

Xcrino Business Solutions is a data migration company in New Delhi, India, providing data migration services for databases, ERP and CRM systems, legacy applications, and cloud platforms. We plan the move, clean and map the data, run test migrations, reconcile the results, and manage the cutover, for startups, SMEs, and enterprises worldwide.

Since 2016, Xcrino has served 560 clients in 26 countries, with an in-house team of 69+ developers and a 94% project success rate. Many of those engagements involved moving live business data from an old system into a new one, so we treat migration as an engineering project with its own plan, tests, and sign-off.

  • Since 2016
560
clients served
26
countries
69+
developers
94%
project success rate

At a glance

Key takeaways

  • Data migration is the one-time move of data from one system, database, or platform to another, including cleansing, mapping, validation, and cutover.
  • Most migration failures come from uninspected data, unagreed mapping rules, and an unrehearsed cutover, not from the copy itself.
  • Choose a big bang cutover for small systems, a phased migration for several departments, and a parallel run for financial or regulated data.
  • Every migration should have a verified backup, at least one trial run, a reconciliation report, and a tested rollback route.
  • Xcrino plans the migration together with the target system, because the same team builds the ERP, CRM, and custom software the data moves into.

Quick answer

What are data migration services?

Data migration services cover the planning, extraction, cleansing, mapping, transformation, loading, validation, and cutover involved in moving data from one system, database, or storage platform to another. Xcrino Business Solutions, founded in 2016 in New Delhi, provides database migration, ERP and CRM data migration, legacy system data migration, cloud data migration, and application-to-application migration, with test runs and record-level reconciliation before go-live, for clients in 26 countries.

Introduction

Why do data migrations go wrong?

Most migration problems are not caused by the copy itself. They come from data nobody inspected beforehand, mapping rules that were assumed instead of agreed, and a cutover that was never rehearsed. The result is missing records, broken reports, and users who stop trusting the new system in its first week.

As a data migration company that also builds the ERP, CRM, and custom software the data moves into, we plan the migration together with the target system. Our data migration services cover assessment, data profiling, cleansing, mapping, migration scripts, trial runs, reconciliation, cutover, and post-migration support, delivered by one accountable team.

Services

What data migration services does Xcrino offer?

Each service below can be delivered on its own or as part of a larger software, ERP, or cloud project.

Database Migration Moving between database engines or versions
ERP and CRM Data Migration Replacing or consolidating business systems
Legacy System Data Migration Retiring old applications without losing history
Cloud Data Migration Moving on-premise data to AWS, Azure, or Google Cloud
Application and SaaS Data Migration Switching vendors or platforms
Data Cleansing and Transformation Fixing duplicates, gaps, and inconsistent formats
Data Validation and Reconciliation Proving the new system matches the old one
Website and CMS Content Migration Redesigns and platform changes

Database Migration

We move data between database engines and versions, such as MySQL to PostgreSQL or a self-managed database to a managed cloud service. The work includes schema conversion, data type mapping, stored logic review, index and constraint checks, and performance testing on the target.

ERP and CRM Data Migration

ERP data migration and CRM data migration cover master data such as customers, vendors, items, and the chart of accounts, along with open transactions and the history you choose to keep. We agree with your finance and operations teams which records move, from what date, and how opening balances will be verified.

Explore ERP & Custom Software

Legacy System Data Migration

Old systems often hold years of data in undocumented structures. We analyse the legacy database, document what each table and field means, extract the data, and load it into the modern platform, keeping an archive of anything that is not migrated so it stays available for audits.

Cloud Data Migration

We move databases, files, and application data from on-premise servers to AWS, Microsoft Azure, or Google Cloud, or between cloud providers. We plan for transfer volume, network limits, security controls, and a rollback route before any production data moves.

Application and SaaS Data Migration

When you change software vendors, we extract data through exports or APIs, map it to the new product's structure, and load it in the order the new system requires, so relationships between records such as customers, orders, and invoices stay intact.

Data Cleansing and Transformation

Migration is the best time to fix bad data. We profile the source data, remove duplicates, standardise formats such as dates, phone numbers, and addresses, fill or flag missing values, and apply the transformation rules your team approves. This is the extract, transform, load (ETL) work that decides the quality of the result.

Data Validation and Reconciliation

We compare source and target using record counts, control totals, field-level checks, and sample reviews by your own users. You receive a reconciliation report that shows what moved, what was changed, and what was excluded and why.

Website and CMS Content Migration

For website redesigns and platform changes, we migrate pages, posts, media, users, and product catalogues, map old URLs to new ones, and plan redirects so existing search rankings are protected.

Explore Website Development

Migration approach

Big bang, phased, or parallel run? How to choose a data migration approach

There are three common ways to cut over. The right one depends on how much downtime you can accept and how much risk you can carry.

Big bang migrationChoose it when...: The system is small or a short planned outage is acceptable, and you want one clean switchTrade-offs: All risk sits in one cutover window, so rehearsal matters most
Phased migrationChoose it when...: You can move by module, business unit, or location, and want to learn from each stageTrade-offs: Old and new systems run side by side for a while and need temporary integrations
Parallel runChoose it when...: Errors would be costly, such as in finance or payroll, and results must be compared before the old system is retiredTrade-offs: Staff do double entry for a period, which costs time

Quick guide: a short rule of thumb for each situation.

  • Small data set and a weekend available? A big bang cutover is usually simplest.
  • Several departments or countries? Lean towards a phased migration.
  • Financial or regulated data? Add a parallel run before you switch off the old system.

We recommend an approach after the assessment, and we tell you plainly when a simpler route will do.

Process

How does the data migration process work?

  1. 01

    Assessment and inventory

    we list every source system, data set, owner, volume, and dependency, and agree what is in scope.

  2. 02

    Data profiling

    we measure data quality in the source, so problems are found before the build and not at go-live.

  3. 03

    Mapping and design

    we document field-by-field mapping and transformation rules, and your business owners sign them off.

  4. 04

    Cleansing

    duplicates, invalid values, and inconsistent formats are corrected in the source or during transformation.

  5. 05

    Build and trial runs

    we write the migration scripts and run them against copies of your data, more than once, timing each run.

  6. 06

    Validation and reconciliation

    counts, totals, and samples are checked, and your users test the migrated data in the new system.

  7. 07

    Cutover

    the final migration runs to a rehearsed plan with a clear go or no-go decision and a rollback route.

  8. 08

    Post-migration support

    we monitor the new system, fix data issues found in daily use, and archive or retire the old one.

Security and data protection

How does Xcrino protect your data during a migration?

  • Backups first: a verified backup of the source is taken before any migration run, and the rollback route is tested.
  • Encryption: data is encrypted in transit, and at rest where the platforms support it.
  • Limited access: only the named project team can reach production data, and access is removed when the work ends.
  • Masked test data: where possible, trial runs use masked or anonymised copies of sensitive fields.
  • Audit trail: every run is logged, with what was loaded, rejected, or changed.
  • Confidentiality and ownership: confidentiality terms are agreed before you share any data, and your data remains yours throughout, as set out in your contract.
  • Regulated data: for data covered by rules such as GDPR, we agree the required controls with your compliance team during the assessment.

Preparation checklist

What should you prepare before a data migration?

  • A list of the systems, databases, and files that hold the data
  • A named owner for each data set who can approve mapping rules
  • A decision on how much history to migrate and what to archive
  • Known data quality problems, such as duplicates or missing fields
  • Reports and totals that must match after the move
  • The downtime window your business can accept
  • Any legal or contractual rules on where the data may be stored

Technology

Which technologies does Xcrino use for data migration?

  • Databases: PostgreSQL, MySQL, MongoDB, and other relational and document databases
  • Languages and scripting: SQL, Python, and Node.js for extraction, transformation, and loading
  • Cloud platforms: AWS, Microsoft Azure, and Google Cloud
  • Integration: REST APIs, file exports such as CSV and Excel, and direct database connections
  • Quality checks: automated count, total, and field-comparison scripts, with reconciliation reports

We choose tools after the assessment, based on your source and target systems, data volume, and security requirements.

Cost and timeline

How much does data migration cost?

These factors decide what a data migration costs:

  • Number of source systems: each one adds analysis, mapping, and testing
  • Data volume and complexity: the number of tables, relationships, and record types
  • Data quality: poor source data needs more cleansing and more trial runs
  • Transformation rules: how different the new structure is from the old one
  • Downtime tolerance: a near-zero downtime cutover needs more engineering than a weekend switch
  • Compliance: regulated data adds controls and documentation

How scope changes budget and timeline: three typical sizes.

  • Single database or small application: one source, clean data, and a short outage, delivered in weeks
  • ERP, CRM, or multi-system migration: several sources, agreed cleansing rules, and at least two trial runs, delivered over a few months
  • Enterprise or multi-country programme: phased cutovers, parallel runs, and formal sign-off at each stage

After a free consultation, we carry out a migration assessment and give you a scoped estimate with assumptions and risks.

Request a Migration Assessment

Fit check

Do you need a data migration service?

  • A good fit when:

    you are replacing an ERP, CRM, or legacy system, moving to the cloud, consolidating data from several sources, or cannot afford lost or mismatched records.

  • Not needed when:

    the data set is small and clean enough to export and import with the new product's own tools. We will tell you if that is the case.

Terms explained

Data migration terms explained

ETL
extract, transform, load, the three technical steps of moving data between systems.
Data mapping
the field-by-field rules that say where each piece of source data goes in the target.
Data profiling
measuring the quality of source data before migration.
Reconciliation
proving that the target matches the source, using counts, totals, and samples.
Cutover
the moment the business stops using the old system and starts using the new one.
Rollback
the rehearsed route back to the old system if the cutover fails.

FAQ

Data migration: questions answered

What are data migration services?

Data migration services move data from one system, database, or storage platform to another. They include planning, extraction, cleansing, mapping, transformation, loading, validation, and cutover, so the new system starts with complete and accurate data.

What are the main types of data migration?

The main types are database migration, application migration, storage migration, cloud migration, and business process migration such as moving to a new ERP or CRM. Many projects combine more than one type.

What is the difference between data migration and data integration?

Data migration is a one-time move of data from an old system to a new one, after which the old system is usually retired. Data integration keeps two or more live systems exchanging data continuously.

What is ETL in data migration?

ETL stands for extract, transform, load. Data is extracted from the source, transformed to match the structure and rules of the target, and loaded into the new system. It is the core technical step in most migrations.

How long does a data migration take?

It depends on the number of source systems, data volume, and data quality. A single database with clean data is measured in weeks, and an ERP or multi-system migration with trial runs is measured in months. We confirm a realistic timeline after the assessment.

How much does data migration cost?

Cost depends on the number of source systems, data volume, data quality, transformation rules, downtime tolerance, and compliance needs. We provide a scoped estimate after a free consultation and a migration assessment.

Will there be downtime during the migration?

Most migrations need a planned cutover window, which we schedule outside your busy hours. Where downtime must be minimal, we use a phased or incremental approach so that only the final changes move during the switch.

How do you make sure no data is lost?

We take a verified backup before each run, run trial migrations on copies of your data, and reconcile source and target with record counts, control totals, and field-level checks. Your users also review samples before go-live.

Can you migrate data from a legacy or custom-built system?

Yes. We analyse the legacy database, document its structure, and build extraction scripts for it, even where documentation is missing. Data that is not migrated is archived so it stays available.

Can you migrate our data to a new ERP or CRM?

Yes. We migrate master data, open transactions, and the history you choose to keep, and we verify opening balances and key reports with your finance and operations teams.

Can you clean our data as part of the migration?

Yes. We profile the data, remove duplicates, standardise formats, and apply the rules your team approves, so the new system does not inherit old problems.

Is our data secure during migration?

Data is encrypted in transit, access is limited to the named project team, and confidentiality terms are agreed before you share anything. For regulated data, we agree the required controls with your compliance team first.

What happens if something goes wrong during cutover?

Every cutover has a rehearsed rollback route and a go or no-go checkpoint. If validation fails, we return to the old system, fix the cause, and reschedule.

Do you provide support after the migration?

Yes. We monitor the new system after go-live, correct data issues found in daily use, and help you archive or retire the old system.

Tell us what data you need to move

Share the systems involved, the amount of data, and the date you need to be live. We'll assess the migration, recommend an approach, and give you a realistic estimate, and we'll tell you if a simpler route would do the job.

Company details

Xcrino Business Solutions

Data Migration • Database Migration • ERP and CRM Migration • Cloud Migration • Legacy System Migration • Data Cleansing and Validation

New Delhi, India | Serving Clients Worldwide

E-523, Top Floor, Sector 7, Dwarka, New Delhi 110075 • phone and email as shown on the Contact page

Chat on WhatsApp