Lukardi

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Lukardi DataConvoy

Your Trusted Partner in ECM Data Migration

Lukadi DataConvoy is a complete solution that makes it easy to migrate data seamlessly between different corporate platforms.

Lukardi DataConvoy

What is the Data Convoy Solution?

Lukardi DataConvoy has personalized queuing algorithm designed to minimize sending failures and continual attempts to boost the first-time success rate. It ensures efficient and reliable data transmission, reducing the need for manual intervention.

In addition, the system includes automatic and adjustable trottling mechanisms, that protect the health of the ECM system by managing the transmission speed according to previously defined conditions.

Comprehensive recording provides transparent validation, making it easier to follow and understand the upload process. Also provides support to 'on-the-fly' migration scenariosthat streamline data flow and enhance its security during transmission.

These features work together to enhance the robustness and reliability of the transmission process, ensuring smooth data management and protection.

Cloud to On-Premise

The process of transferring ECM data from the cloud to local servers, enabling the migration of the content management system from the cloud to local infrastructure.

On-Premise to Cloud

The process of transferring ECM data from local servers to the cloud, enabling the migration of the content management system from local infrastructure to a cloud environment.

ECM to ECM

The process of migrating ECM data between different content management systems, allowing information to be transferred from one ECM environment to another.

Custom solution for ECM

Integration process of a custom solution with the content management system (ECM), allowing for the transfer of functionality and data to a dedicated ECM environment.

Migration Services

10+ TB of data

32 billion of files

99% accuracy

Global Reach

Lukardi DataConvoy

DataConvoy is a product of Lukardi S.A., a company with an international reach that has experience in implementing content management systems for businesses – Enterprise Content Management.

Key Features of the Lukardi DataConvoy Solution

Predictability: Clear project timelines with defined stages and outcomes, ensuring transparency and keeping stakeholders informed.

Safety: Comprehensive security measures, including encryption, secure data transmission protocols, access control, and compliance with relevant regulations (e.g., GDPR, HIPAA, PCI DSS).

Verification: POC, testing from start to finish

Source systems: A comprehensive analysis of existing systems, including their architecture, data types, volumes, and current configurations.

Target systems: Detailed planning of the target system architecture, ensuring compatibility and optimization for performance and scalability.

Data encryption: Both at rest and during transmission to protect confidential information.

Access control: Strict role-based access control to ensure that only authorized personnel have access to data.

Compliance: Complying with all the necessary regulatory standards throughout the migration process.

Structural data: Usually stored in relational databases with a defined schema (e.g., tables with rows and columns).

Semi-structural data: Data in formats like JSON and XML, which have certain organizational properties but don't conform to a rigid schema.

Unstructured data: Text files, images, video files that do not conform to any predefined data model.

Metadata: Descriptive information about other data, providing data versioning, provenance and auditability throughout the migration process.

Systematic elimination: Ensure legacy systems are systematically decommissioned after data migration, reducing operational costs and complexity.

Resource reallocation: Efficiently reallocate resources previously associated with maintaining legacy systems to more strategic initiatives.

Data quality and cleansing: Implement data validation, cleansing and transformation processes to ensure the integrity and usability of migrated data.

Post-migration support: Comprehensive post-migration support to handle any problems and ensure the stability and performance of the new system.

Data Migration Process

Discovery and planning

Value: A detailed understanding of the existing systems, types and amounts of data, and client requirements. This phase allows for a precise definition of the project scope and identification of risks. 

Actions: System analysis, requirements gathering, stakeholder identification and risk assessment. 

Design and Architecture

Value: Create a detailed migration plan to ensure compatibility and optimization for the target environment. 

Actions: Data mapping, schema design, infrastructure planning and migration tool selection. 

Development and Piloting

Value: Building and testing migration pipelines, making sure they are robust and can handle the amount and complexity of data. 

Actions: Develop migration scripts, pilot migration tests, validate results and refine processes. 

Initial Data Migration

Value: Initial data transfer, preservation of data integrity, security and minimal downtime. 

Actions: Perform full-scale data migration, real-time ongoing monitoring, troubleshooting and validation. 

Perform Full Data Migration

Value: All data transfer carried out with constant attention to data integrity and security. 

Actions: Full-scale data migration, real-time monitoring, troubleshooting, and validation. 

Transition Phase

Value: Ensures smooth operation after mass migration with necessary adjustments. 

Actions: Running scripts after migration, validating results and resolving any immediate discrepancies or problems. 

Data Validation and Quality Assurance

Value: Ensures that all migrated data is accurate, complete and consistent. 

Actions: Run detailed data validation scripts, perform comprehensive quality assurance checks and resolve any discrepancies. 

Transition and Decommissioning

Value: A smooth transition to the new system with detailed documentation and user training, followed by decommissioning of the old systems. 

Actions: Final validation of the new system, extensive user training, creation of detailed documentation and systematic decommissioning of older systems. 

Post-migration support and optimization

Value: Providing ongoing support to resolve post-migration issues and optimize performance. 

Actions: Monitoring system performance, troubleshooting errors or issues, optimizing configurations, and providing ongoing support to users. 

A Comprehensive Toolkit for a Successful Migration.

Lukardi DataConvoy covers the full spectrum of systems, data types and expertise needed to perform complex migrations with precision and reliability.

Our migration service supports a wide range of systems, including but not limited to:

Databases

MySQL

PostgreSQL

Oracle

Microsoft SQL Server

MongoDB

OpenText Extended ECM

Applications

CRM

ERP systems

in-house systems

AWS Redshift

Google BigQuery

Snowflake

Data Stores

AWS S3

Google Cloud Storage

Azure Blob Storage

Cloud Storage

Business Benefits of Lukardi DataConvoy

even 40%

reduction of data processing time

up to 30%

reduction of operating costs

even 50%

reduction of the risk of security breaches

up to 60%

reduction of the data access time

Why you should choose Lukardi DataConvoy

Lukardi specialists have participated in ECM system implementation projects at home and around the world

Predictability

We minimize uncertainty with clear project timelines, defined milestones and deliverables. Our transparent approach keeps all stakeholders informed throughout the migration process.

Security

We prioritize data protection using standard encryption methods and strict role-based access control, ensuring the security of sensitive information at all times.

Team of Experts

Our specialists have extensive experience in complex data migrations across industries. We stand out in managing risk, identifying potential problems and implementing strategies to prevent business disruption

More about the Lukardi DataConvoy solution

Data migration

Size of Reported Data

Through careful analysis and extrapolation of report file sizes, we were able to keep the amount of reported data at a reasonable level. This process included a detailed analysis of the types of data recorded and their growth patterns

Read more "
Data migration

Estimating the Duration of Migration 

To accurately estimate migration times, we conducted intensive and repeated migrations of document samples. This hands-on approach allowed us to gather real data on transfer speeds and potential bottlenecks, providing a solid

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Data migration

Version Analysis and Report Generation

In a recent project, we conducted a comprehensive analysis of document versions in the source system, examining their number, volume and number of versions per document. Our investigation revealed numerous documents with hundreds of versions, including

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