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Oracle ERP and RPA A match made in the cloud Leverage the power of RPA to maximize your Oracle ERP investment READY TO MAXIMIZE YOUR ORACLE ERP INVESTMENT? CONTACT US, JOLT'S TECHNOLOGY VETERANS WILL WORK WITH YOU TO HARVEST THE VALUE OF RPA AND FAST TRACK THE ROI OF YOUR ORACLE CLOUD SOLUTIONS. Common Challenges in Oracle Cloud Migration Downtime and business disruption Legacy integration complexity Setup and configuration Data conversion, migration, and validation Migrating data format Adding migrated data into target system Verify migration success High volume and time intensive process Benefits of using RPA in Cloud Migration Load extracted data into target structure Extract, hold, and verify data Reduce the cost of migration Enhance compliance and audit trails Simplify system integration Speed up data migration Improve quality Eliminate errors Data migration with RPA 01. Data migration is a key step in M&As or IT modernization events such as ERP implementation /upgrades, sunset of legacy systems, or a move to the Cloud. Due to the highly structured, rules-based migration methodologies, apparent in the fundamental data migration methodology ETL (Extract, Transform, Load), RPA is an excellent tool for data migration and test data generation efforts. With effective process modeling, automation design, and training, RPA can cut the migration time by 50% and reduce costs by 40%. Additionally, automation provides complete extraction accuracy and detailed log files on all transactions for operating and compliance purposes. Apart from the ETL process, organizations can also use RPA to help identify data objects, reduce dependencies from Oracle solutions, and lower the data load cycle, with robots running the testing cycle to relieve employees. RPA is a low-risk solution, because of its unique user interface level integration, it avoids impacting underlying systems and databases. Validating data with RPA 02. When migrating to Oracle Cloud Apps, data conversion can become a huge nightmare, with countless data tables to be reformatted, items to be populated based on differences with the source systems, data rows reaching tens of thousands, the normalization of conversion data (extract, review, and populate missing data, reformat, validate, etc) prior to conversion can be an extremely manual and high volume process vulnerable to errors which can later turn into major issues post-production. RPA has proven to be a silver bullet in this complex process, with the right workflow configuration, RPA can be used to seamlessly validate data prior to conversion and migration. Helping save thousands of man-hours in such process. Testing automation with RPA 03. RPA provides a new powerful tool for testers and business users doing software testing, especially in the context of implementing large scale standard systems like Oracle, PeopleSoft, SFDC, etc. RPA tools allow for codeless automation macros on the desktop that can be used for both generating test data and performing regression testing. RPA is a fantastic tool to use for the automation of manual processes involved in the software development lifecycle. Performing functional testing, unit testing, regression testing and UAT while driving efficiency up and setting up audit trails, securing the integrity of the testing process throughout. This is relevant specially when implementing commercial off-the-shelf business applications, challenging the base of the testing pyramid. Legacy integration with RPA 04. Enterprise application integration has been a key issue for organizations modernizing their software stack while not entirely wanting to dismantle legacy systems. With some of the homegrown or legacy 3rd party applications lacking APIs, webhooks, or adapters, it can easily diminish the overall ROI of the new software investments, as key business data will continue to live in disparate systems without the ability to talk to each other. Traditional software integration technologies such as Service Oriented Architecture (SOA) are highly complex and cost-intensive projects that can drag on for years. RPA serves as a great bridge to revive all your historical data sitting across on-premise, cloud, and homegrown systems and enable all your applications to work with each-other by using robots to move data between systems via the application UI. The robots’ non-intrusive automation capabilities can be used to integrate multiple legacy systems across platforms and heavily customized on-premise and SaaS enterprise applications. Additionally, RPA allows for rapid integration prototyping, and enables organizations to integrate systems that do no have an API or adapter. Oracle Cloud Migration meets RPA RPA is widely used for the automation of mundane and repetitive processes in an organization. ERP transactions have served as one of the prime targets for automation with RPA. And with the rise of Cloud ERP, practitioners have quickly been able to name RPA as a game changer in helping organizations migrate their on-premise ERP such as Oracle E-Business Suite to Cloud ERP such as Oracle Fusion Cloud Apps seamlessly by automating the tedious manual process around data migration, data validation, data integration and testing. In this infographic, you'll find the main use cases for using RPA in your Oracle Cloud migration projects, but for the full picture of how RPA can automate Oracle related processes, download our in-depth white paper here.
