Final Answer:
1) Clearly define data migration objectives and goals.
2) Identify and prioritize critical data elements for migration.
3) Establish data quality standards and cleansing procedures.
Step-by-step explanation:
1) Clearly define data migration objectives and goals: Before embarking on a Customer Success Management (CSM) project, it's essential for the customer to have a clear understanding of what they aim to achieve with data migration. Clearly defined objectives and goals help in setting expectations and measuring the success of the migration process.
2) Identify and prioritize critical data elements for migration: Not all data may be equally important for the success of a CSM project. Customers should identify and prioritize critical data elements that are essential for the functioning of the CSM system. This ensures that resources are allocated efficiently during the migration process.
3) Establish data quality standards and cleansing procedures: Poor data quality can have significant implications for the success of a CSM project. Customers should set data quality standards and implement cleansing procedures to ensure that the data being migrated is accurate, consistent, and reliable. This step is crucial for maintaining the integrity of data in the new CSM system.
These guidelines contribute to a successful scoping of data migration for a CSM project by providing a clear roadmap, focusing on critical data, and ensuring the quality of the migrated data.