Streamline your Data Migration with eAppSys DMOneTM Cloud
Data Migration: 10 Challenges to Overcome
Data migration is a crucial process that involves transferring data from legacy systems to a new system, which is necessary for compliance, reporting, and decision-making purposes. While the best practices for data migration are a topic of much interest, execution still faces several familiar issues. Despite advancements in technology, identifying relevant data, maintaining data relationships and inter-dependencies, and ensuring data quality during migration can pose significant challenges. In this context, it’s essential to explore innovative solutions that can streamline the process and minimize disruption to operations. We outline ten such challenges here:
- Identifying relevant data in years of accumulated legacy data.
- Determining accurate and up-to-date information when dealing with redundant data.
- Integrating data from multiple sources of legacy systems can be challenging due to varied structures and formats.
- Managing data consistency and avoiding conflicts during concurrent projects.
- Maintaining data relationships and inter-dependencies during migration.
- Adapting to shifting business requirements during migration.
- Identifying the correct version of data when it is duplicated.
- Ensuring visibility into data quality during migration is essential for accuracy.
- Using tooling to identify and correct data quality issues during migration.
- Providing clear progression reporting for effective migration management.
DMOne™ Cloud Streamlines Data Migrations
Looking for a solution to address the challenges of data migration from Oracle E-Business Applications (EBS) / Legacy to Oracle Fusion Cloud Applications? Look no further than eAppSys’ DMOne™ – a next-generation Data Management & Migration Cloud Platform. DMOne™ harnesses the latest technological advancements to automate data migration and management processes, and accelerate the end-to-end implementation life cycle, delivering a quick, efficient, and cost-effective solution.
The DMOne™ Cloud platform supports pillars across CX, ERP, HCM, and SCM, reducing build effort for data migration projects by up to 80% and overall project timelines by 30-50%. This comprehensive solution also mitigates risks and increases engagement.
DMOne™ uses a rule-based approach to extract, transform, validate, prepare, transfer, reconcile, handle errors, and correct errors to identify, organize, leverage, and convert legacy data. By leveraging DMOne™, you can streamline the data migration process, ensuring that your organization can take advantage of the benefits of Oracle Fusion Cloud Applications quickly and easily.
Six key aspects of DMOne™ Cloud Solution
DMOne™ helps organizations speed up the implementation life cycle, reduce errors, and minimize the need for manual intervention by automating end-to-end data migration, including data extraction, transformation, loading, validation, reconciliation, and reporting.
DMOne™ is a data migration solution that aims to assist organizations in transferring data from one system to another in a timely and cost-effective manner. It is designed to be quick and efficient, allowing organizations to move their data with minimal disruption to their operations.
DMOne™improves data quality through various features and capabilities such as rule-based extraction, transformation, validation against the target system, error handling, and correction. This helps ensure that data is of high quality and ready for use in the target system.
Increasingly, customers use the DMOne™ platform as an extension of their cloud applications, as an ongoing data management platform to maintain, manage, and enhance their data capabilities.
DMOne™ is a source system-agnostic platform, meaning it can be used to migrate data from various legacy or source systems, including Oracle EBS, SAP, and others. This provides organizations with flexibility and the ability to choose the best solution for their needs.
DMOneTM ensures that data migration is done in a secure manner, protecting sensitive data from breaches and unauthorized access.