High in the clouds with clean data: Achieving smooth migration with data management tools

Details of "Questions for the future", a socio-critical work of art that is intended to encourage people to question modern trends. Displayed at Futurium in Berlin | Clean data tools for cloud migration More4apps

Key Takeaways

Cloud migration offers numerous benefits for organizations, including improved supply chain visibility, customer service, scalability, and security enhancements.

Data cleansing is essential during the cloud migration process to ensure accurate and reliable information for decision-making, mitigating project risks, and optimizing system performance.

Utilizing third-party data management solutions, such as More4apps, can facilitate a smoother data migration by automating data cleanup, extraction, validation, and remediation processes.

It is no secret that in the world of technology, cloud is the future. In fact, for many it is not just the future, but the now – with organizations planning to migrate from their on-premise stack to cloud. As argued by experts, some of the benefits that businesses can gain from cloud migration are easier integration with partners’ systems, improved supply chain visibility, customer services and collaborative and efficient innovations. That’s not to mention the potential for improved scalability and regular security updates and maintenance, with automatic bug fixes.

However, to reap these benefits and achieve a smooth digital transformation, there is one aspect that cannot be overlooked during the migration process – data cleansing. Data cleansing is the process of fixing incorrect, incomplete, duplicate, or otherwise erroneous data. It involves identifying data errors and then changing, updating, or removing data. This is really important in any existing ERP, let alone a new implementation. Improving the overall data quality then helps to deliver more accurate and reliable information for decision-making in an organization.

Specifically during cloud migration, data cleansing can be crucial for a successful implementation project. There’s already enough stress and change happening with the implementation of a new system, the last thing any organization needs is dodgy data to cause another set of issues.

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As explained by More4apps, a provider of data loading solutions for Oracle E-Business Suite and Oracle Cloud Applications, by conducting a thorough data cleanse, organizations can mitigate project risks, optimize system performance, and unlock the full potential of their ERP investment.

In projects as substantial as cloud migration, organizations are operating under budget and time constraints, and many are looking for options that could help them reach their goals without missing deadlines. This is why companies like More4apps offer comprehensive data management solutions to help users simplify complex tasks and accelerate time-to-value.

Thus, users migrating from Oracle EBS to Oracle Fusion Cloud ERP can opt for a pre-project cleanup in which over 40 Wizards will clean up existing data before beginning the conversion. According to More4apps, these front-end tools will lessen the labor necessary for the migration as the migrated data will be cleaner and more accurate.

Furthermore, users can utilize More4apps tools for data extraction, validation, and remediation within Oracle EBS. Through these processes, organizations can significantly reduce the effects of poor data.

Additionally, with data enrichment and transformation tools, such as the More4apps ERP Cloud Toolbox, organizations can help ensure a smooth data migration. As part of the pre-upload validation process, users and consultants will need to add additional data attributes, standardize formats and remove data inconsistencies.

With more organizations embarking on their digital transformation journeys, establishing a data cleansing process can be one of the crucial aspects for seamless cloud migration. Utilizing user-led third-party data management solutions like the ones offered by More4apps can be the one right step toward the utopia of having quality, accurate ERP data.