Move to Oracle Cloud - Successfully Migrate Your Data to the Oracle Cloud
OCTOBER 21, 2021 11:58 PM
Organizations are putting their best foot forward in converting their On-premises applications to Cloud - it is the shiny new toy that every enterprise is after. Although many businesses comprehend the importance of cloud systems and are willing to spend billions of dollars migrating data between information-intensive applications, up to 75 percent of these new systems fail to meet expectations due to flaws in the migration process.
Businesses who take the right cloud migration approach will be able to utilize the abundance of benefits the cloud has to offer while transporting their businesses to the future.
On-premises to cloud migration - This involves migrating your digital infrastructure from your on-premises environment (e.g., mainframes) to a cloud infrastructure through a cloud consultant
Cloud to cloud migration - This involves migrating your digital infrastructure from one cloud infrastructure (usually outdated or less functional) to another (latest technology cloud infrastructure)
With an understanding of the hidden challenges in managing the migration process, it's essential to choose the best provider to optimize your investment; Oracle ERP Cloud's vast and significant functionalities goes beyond the competition by delivering accurate data while mitigating risk of delays and budget overruns
Smooth Path to Successful Data Migration
- Define the scope of the project and refine it through profiling and auditing the source data before mapping.
- Investigate the length and breadth of data to be migrated and plan for the actual budget and timeline.
- Perform a unit level testing, volume test and secure sign-off at each stage.
1. Planning
Begin the migration process with a detailed cloud readiness assessment on your company's digital infrastructure; define what is achievable in terms of what the data sources will support.
High-level analysis of the source and target systems data migration scope refinement is integral Due Diligence to the success of the migration. The consulting resource of the project should have in-depth knowledge of past, present, and future of the business issues.
Time and material costs - Analyse a realistic budget and timeline (In reality, a project is managed between 6 months and 2 years) for the following: auditing and profiling data; solution development for mapping; code creation for migration; build and transfer of data; cleansing methods; and loading and testing the volume of data.
The Data Governance Team plays a vital role in migration, along with the business owner of the data, to ensure success.
2. Comprehension of the Data
Use top-down and target-driven approach such as region, line of business, and product type to the help business owner refine the data, save time and minimize effort; this also helps detect possible conflicts and identifies what data needs to be migrated from the core source tables to assist users in resolving issues. Identify any inconsistencies in the data that's being migrated against the complete scope and assess its' impact at an early stage before it occurs.
3. Mapping
Create Mapping Specifications by developing specific rules for transferring data from source to the target system - ensure the documentation is articulated and signed off by the business owner. If the migration of source data is segmented into increments, it will be more efficient and easier to audit, map and test; in addition, it will help the team make any necessary changes while still meeting the committed deadlines and set budget.
Before going live, test the mapping specification individually against the rules created to fix the errors in the testing environment before migrating the data.
4. Migration
Execute the migration rules and the data will be extracted from the source system, transferred, cleansed, and loaded into the target system correctly without any data loss.
5. Testing
Once the data is migrated to the new system, perform the unit, system, volume, online application and batch application tests - rerun the process if required at any stage. It will be an expensive task to rectify the data being changed in the source systems while the migration is in development stage; so, test the data as early as possible for each unit of work and get signed off by the business owner.
6. Maintenance
Once migration of data is done, businesses can effectively manage their cloud infrastructure. Data audit can be carried out at any time, on any set of data, to check the project as per the scope. Deploying data quality tools help to maintain data in a consistent high-quality state of readiness for future data migrations and cut down cloud maintenance costs by a considerable margin.
7. Upgrades
This is one of the main benefits of migrating to the cloud - the upgrades to the latest technologies are easier than ever. These upgrades are performed by the cloud consultants regularly and are based on the requirement to keep your cloud infrastructure updated on the latest technologies.
End note:
This high-level cloud data migration process includes various intricacies at every stage that will be addressed by the Oracle Cloud consultant. The success lies in choosing the right cloud consultant as the partner.
SMACT Works is a technology-focused systems integrator and IT/ERP consulting firm. We deliver end-to-end consulting, managed, and implementation services for Oracle Cloud Applications, IaaS & PaaS, On-Premise PeopleSoft & EBS Applications. Headquartered in Dublin, OH, we have a global presence with North America and Asia offices. We are an Oracle Gold Partner Cloud Standard, ISO 9001, and 27001 certified delivery organization serving customers with Excellence and Integrity.
