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Data migration services
About Itransition
15+ years providing data analytics and business intelligence services
Delivering IT consulting and software engineering services since 1998
Established partnerships with Microsoft and AWS
Compliant with ISO 27001 and ISO 9001 standards
Hundreds of certified data architects, engineers, and security experts
Recognized by Clutch, Gartner, and Forrester as one of the leading data solutions providers
Data migration services we offer
Data migration consulting
We provide comprehensive data migration consulting services to help you develop a data migration strategy tailored to your needs and guide you through every step of the migration process, minimizing project risks and enabling a smooth data transition.
- Business needs elicitation and analysis
- Migration approach and migration tools selection
- Migration plan creation
- Advising on establishing a data management framework
- Assistance with user training and knowledge transfer
Database migration
We help businesses securely transfer information between different types of data repositories, such as relational and non-relational databases, to overcome performance, scalability, or interoperability issues.
- Analyzing the source database, data type, and data schemas
- Identifying the target database’s compatibility requirements, including data types, schema, syntax rules, and the needed data transformations
- Creating workflows for data extraction, transformation, and loading
- Performing the migration
- Post-migration data quality validation and database performance monitoring
- User training and support
Data warehouse migration
Our specialists help you migrate historical and real-time data, data schemas and structures, ETL pipelines, and metadata from the legacy DWH solution to the new one to support your evolving business needs.
- Analyzing the existing DWH architecture
- Defining the target DWH system requirements
- Performing conceptual and logical data modeling
- Designing a DWH architecture
- Setting up ETL/ELT pipelines
- Data migration and validation
- Monitoring and fine-tuning DWH performance after the migration
- Providing user onboarding
Cloud migration
We perform data transfers between different cloud services or between on-premises and cloud environments, helping you enhance the scalability of your data infrastructure and reduce costs.
- Assessing source and target data environments
- Eliciting data migration goals
- Setting up cloud infrastructure, such as compute, storage, and networking resources
- Migration execution
- Post-migration data verification
- Training the staff on operating the migrated data
Itransition’s experts migrate corporate applications like ERP, CRM, and CMS solutions and associated data between different data centers or environments to help you optimize operational costs, adopt a more flexible solution, and implement new, future-proof technologies and approaches.
- Analyzing the source system workloads to be migrated
- Mapping app dependencies
- Determining the optimal migration approach, such as rehost, replatform, refactor, or repurchase
- Designing the new environment
- Application setup and integration
- Migration of the application and relevant data
- Data validation
- Application performance, usability, and security testing
- Ongoing system monitoring and fine-tuning
- User training
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Data migration best practices we follow
Strong focus on security & compliance
To safeguard business data throughout the entire data migration process, we conduct rigorous security testing and implement robust security controls, such as data encryption, multi-factor authentication, and adherence to a zero-trust model. We also ensure that the tech stack used during the migration supports all applicable data protection laws and standards, such as GDPR, PCI DSS, and SOC 2.
Adhering to data management standards
During data migration, we follow data backup best practices, standardize file names and file formats, create metadata catalogs, and develop multi-level data documentation, covering project details and software used, to prevent data loss and maintain high data quality, usability, and availability.
Committed to risk prevention
When taking on data migration projects, we start with a thorough business infrastructure analysis and validate source data to clearly define the project’s scope, identify data dependencies, and uncover potential migration risks, such as data inconsistencies. We simulate failure scenarios, establish escalation paths, and take data snapshots to timely detect and mitigate issues arising during project execution.
8x
faster data import
Cloud migration for museum collection management
We developed a cloud version of the client’s desktop app, migrating several terabytes of heterogeneous data so that users can access it from any device and install updates more easily. The new solution has retained the desktop version’s functionality and supports one-click data transfer, the creation of secure websites for presenting museum items, and watermark photo labeling for copyright protection.
40+
apps and sites migrated
AWS migration of an investment portfolio management solution
Our experts migrated the client’s infrastructure to AWS to help them accommodate a growing number of products and clients, as well as increasing data volumes. Itransition’s team developed a comprehensive migration strategy, prepared the necessary cloud infrastructure for migration, categorized systems into critical and non-critical groups, and migrated them using lift-and-shift and big-bang approaches.
15–20x
quicker task execution
Architecture migration for a BI platform
We developed a new microservices-based architecture for the client’s legacy BI systems and moved terabytes of poorly structured data stored in different formats, setting up ETL pipelines and creating a data validation and visualization tool for QA. The redesigned solution offers fast search speeds, user query control, automated translation of automotive terminology into multiple languages, and immediate responses.
10x
data processing speed increase
Email archive migration solution
We developed a Windows OS solution for migrating heterogeneous email data from/to 25+ archive systems deployed within on-premises and cloud environments. The solution rapidly processes large data volumes, provides built-in reporting and analytical tools for timely migration troubleshooting, and allows users to analyze, profile, deduplicate, and filter out email content and perform selective migration of the needed archives.
100%
faster work order management
App migration for an industrial software maintenance provider
We unified the client’s processes dispersed across several heterogeneous legacy systems by introducing and customizing the Odoo ERP platform. When replacing the outdated solutions, our team migrated the customer’s data and built an Odoo integration module to facilitate data transfer with minimal manual interventions.
$200,000
license savings
Atlassian migration for IATA
We helped the client transition to Jira Service Desk Cloud by implementing the new system, migrating thousands of tickets containing versatile data, including incidents, requests, problems, changes, and enhancements, and providing supplemental support for four weeks. We also introduced automation features to streamline complex business processes and held admin training sessions to make people more comfortable with using the tool.
Data migration challenges we help solve
Challenges | Recommendations | |
|---|---|---|
Unexpected cost increases |
Due to delays, unplanned scope expansion, and increased resource demands when the migration has already
started
| To avoid budget and schedule overruns, we pay particular attention to project planning, taking into account multiple factors that can impact these variables. We include a time reserve for possible contingencies and budget for all necessary expenses, such as operational expenditures, licensing fees, and user training costs. During the migration, we keep a regular check on spending and compare it with the established thresholds to proactively detect deviations and implement corrective measures to get the project back on track. |
Data loss | Due to hardware, software, or connectivity issues or accidental data truncation | Before the migration begins, we always conduct an inventory of your data and create reliable data copies to be easily restored when needed. We implement automated error detection, logging, and handling mechanisms to timely address arising issues, as well as thoroughly validate data after the migration to guarantee its completeness, accuracy, and consistency. |
Disruptions to ongoing business processes | Due to the unavailability of systems involved in the data migration process | We schedule the migration during off-peak hours to minimize disruptions to daily operations. We also choose the most suitable migration strategy for your use case, such as immediate, incremental, or parallel migration, ensuring the source system remains operational at critical times. |
Unlock the potential of your data with data migration services from Itransition
Technologies & tools we use for data migration
We’re proficient in using different open-source and proprietary software and can curate an optimal tech stack for migrating your data, tailored to your unique technology environment and aimed at reducing licensing costs where possible.
Migration-specific tools |
| ||||||||
|---|---|---|---|---|---|---|---|---|---|
Databases & storage services |
| ||||||||
Platforms |
| ||||||||
Programming languages & frameworks | .NET/.NET Core ASP.NET/ASP.NET MVC/Web API Python Java Node.js PHP Ruby & RoR | ||||||||
Data reporting & archiving | DevExpress Infragistics ArcTitan Barracuda Message Archiver HP Consolidated Archive (HPCA) Veritas Enterprise Vault Dell EMC SourceOne EMC Centera |
Related data services
Data management
We set up robust data management environments for companies to efficiently collect, store, and analyze their information, ensuring its quality and security. We help implement robust data management frameworks and develop individual components of the data management ecosystem to support diverse data processes throughout the data lifecycle, from creation to deletion.
Data warehousing
We develop and implement enterprise data warehouses that integrate large volumes of complex data and store it for further analysis, exploration, and visualization. With solid expertise in setting up ETL/ELT processes, implementing versatile on-premises and cloud-native storage solutions, and building OLAP cubes, we assist businesses in forming the basis for their business intelligence initiatives.
Data analytics
We deliver data analytics solutions, helping companies derive actionable insights out of the collected data and support their decision-making. We implement basic descriptive and diagnostic analytics tools and advanced machine learning and AI-powered solutions to help users find patterns in data, unlock predictive insights, and get evidence-based recommendations.
FAQs
Data migration refers to the process of moving data from one storage system or environment to another. Companies generally initiate data migration projects when they need to switch to another solution or data infrastructure to optimize costs, adopt more advanced technologies, or improve system performance.
Actual data migration can take anywhere from hours to days, while the overall project can last weeks or months, depending on the amount of data, its complexity, the nature of the source and target systems, and the chosen migration strategy, which influences the complexity and size of the workloads involved.
Data migration expenditures depend on the amount of work involved, migration and testing software pricing, infrastructure costs, personnel costs, and user training expenses. Contact us to get a ballpark estimation of your data migration costs.
Related cases
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Case study
AWS migration of investment portfolio management solution
Itransition created an AWS migration strategy for an investment portfolio solutions provider and successfully moved their software suite to the cloud.