6 Steps to Ensure Accurate and Holistic Data Migration between Solutions

Smooth data migration in procurement software switch can be achieved by assessing current data, prioritizing important information, choosing right migration tool, validating data, testing data accuracy and completeness, and seeking support if needed. Follow these steps to ensure successful migration with accurate and complete data.

Data migration can be a complex and time-consuming process when switching procurement software, but with the right approach, it can be managed smoothly. Modern SaaS based solutions, such as FactWise, are making it very simple and intuitive with open APIs and easy data import flows. Irrespective of the solution you choose, here are some tips on how to handle data migration when switching procurement software:

Assess your current data: Before you begin the migration process, it's important to understand your current data and how it's being used. This includes identifying what data needs to be migrated, where it's currently stored, and what format it's in. This information can help you to plan the migration process and to identify any potential challenges.
Prioritize the data: Not all data is created equal, and it's important to prioritize what data needs to be migrated first. This typically includes critical data such as supplier information, purchase orders, and invoice data. Prioritizing the data will help you to ensure that the most important information is migrated first, and that your business can continue to operate smoothly during the migration process.
Choose the right migration tool: There are a variety of data migration tools available, and it's important to choose the one that best suits your needs. Some popular options include cloud-based data migration tools, such as Talend, Dell Boomi, and Informatica, which can help to automate the migration process and to ensure data quality.
Plan for data validation: Data validation is a critical step in the migration process, and it's important to plan for it early on. This includes ensuring that the data is accurate and complete, and that it's in the correct format. Data validation can also help to identify any data quality issues that need to be addressed before the migration is complete.
Test the data: Once the data has been migrated, it's important to test it to ensure that it's accurate and complete. This includes running a series of tests to check that the data is in the correct format, that it can be accessed and used as expected, and that it's consistent with the original data.
Get support if needed: Data migration can be a complex and time-consuming process, especially if you are not looking at modern SaaS based technology tool. If that is your situation then it's important to get support if needed. This includes working with experienced data migration consultants, or using specialized software providers. For example, companies like IBM, SAP, Oracle, and Accenture have teams of experts who can help with data migration and ensure a smooth transition.

In conclusion, data migration can be a complex process when switching procurement software, but with the right approach, it can be managed smoothly. By following the steps detailed above, you can ensure that your data is accurate, complete, and in the correct format, and that your business can continue to operate smoothly during the migration process.

FactWise is committed to building a single source of truth across complex workflows and systems. Our Open APIs ensure that data aggregation and management is easy and instantaneous. Teams can start using FactWise with their data immediately, and if required, we seamlessly integrate with ERP or other systems within the month. 

Stawan is the founder and CEO of FactWise. Before founding FactWise, Stawan was the NA TMT-Procurement Leader at McKinsey. Passionate about procurement, Stawan has 15 years’ experience in enabling clients of all sizes to achieve business impact via procurement.