Below are the key skills our Data Conversion Consultants possess:

Requirements Gathering

Working closely with clients or stakeholders to understand their data migration needs, goals, and specific requirements for the new ATS system.

Data Analysis

Analyzing the source data to determine its structure, quality, complexity, and potential challenges that might arise during the conversion process.

Data Mapping

Mapping the data fields, structures, and relationships from the source system to the target system, ensuring that data is properly aligned and transformed.

Data Transformation

Developing and implementing data transformation processes to convert the data from its original format to the format required by the target system. This might involve data cleaning, normalization, and enrichment.

Data Validation

Performing data validation and quality checks to ensure that the converted data is accurate, complete, and consistent.

Conversion Strategy

Designing a conversion strategy that outlines the sequence, methods, tools, and timelines for migrating different types of data.

ETL (Extract, Transform, Load)

Developing and implementing Extract, Transform, Load processes to extract data from the source, transform it according to the target format, and load it into the new system.

Data Mapping Documentation

Creating comprehensive documentation that outlines the data mapping rules, transformation logic, and other relevant information.

Testing

Developing and executing test plans to validate the accuracy and integrity of the converted data before the final migration.

Data Cleansing

Identifying and resolving data inconsistencies, duplicates, and errors during the migration process.

Data Security

Ensuring that sensitive data is protected during the migration process and that security measures are in place to prevent data breaches.

Data Integration

Integrating the converted data with the new system, ensuring that it aligns with the system's data model and structure.

Stakeholder Communication

Communicating progress, challenges, and potential issues to stakeholders and keep them informed about the migration process.

Data Rollback Plan

Developing a plan for rolling back the migration in case unexpected issues arise that require reverting to the original data.

Post-Migration Support

Providing support and assistance after the migration to address any data-related issues that may arise.

Training

Training end-users and stakeholders on how to work with the new data in the target system.

Continuous Improvement

Gathering feedback from the migration process and identify areas for improvement in future data conversion projects.

Adherence to Regulations

Ensuring that data migration complies with relevant regulations and data protection laws.