Scope of Work

1. Project Planning and Preparation
• Requirement Gathering: Define the specific data sets, tables, and workflows to be migrated from K2 to SQL.
• Stakeholder Identification: Identify and coordinate with stakeholders to understand data requirements, specific data mapping, and end-use needs.
• Timeline and Resource Allocation: Establish the project timeline and allocate resources for each phase of the migration.
• Risk Assessment and Mitigation: Identify potential risks (e.g., data loss, downtime) and establish mitigation strategies.

2. Data Analysis and Mapping
• Data Inventory: Catalog all data and workflows stored in the K2 environment, including schemas, fields, relationships, and dependencies.
• Data Mapping: Map K2 data fields and structures to SQL database fields and structures. This includes identifying corresponding tables, columns, and data types in SQL.
• Validation Rules: Define and document validation rules to ensure data quality and accuracy post-migration.

3. Infrastructure Setup and Configuration
• SQL Environment Preparation: Set up and configure the target SQL Server environment with appropriate permissions, storage, and processing power to handle the migrated data.
• Database Design: Design the SQL database schema to accommodate the migrated data, ensuring efficient storage and retrieval.
• Security Configuration: Implement security configurations for data access, encryption, and user roles to secure sensitive data.

4. Data Migration Execution
• Data Extraction from K2: Extract data from the K2 environment using appropriate tools or scripts to pull data efficiently.
• Data Transformation: Transform data to fit the SQL schema, performing any necessary data cleaning, formatting, and mapping.
• Data Loading: Import the transformed data into the SQL Server database, adhering to any predefined mapping rules and constraints.

5. Testing and Validation
• Data Integrity Testing: Verify that all data has been accurately migrated without corruption, duplicates, or loss.
• Data Consistency Validation: Check that the data relationships, constraints, and indexes are maintained as per the SQL schema design.
• User Acceptance Testing (UAT): Conduct UAT with stakeholders to ensure that the SQL database functions as required and meets user expectations.
• Error Handling and Troubleshooting: Document and resolve any issues that arise during the testing phase.

6. Documentation and Training
• Documentation of Migration Process: Provide detailed documentation covering migration steps, data mapping, validation results, and error resolutions.
• User Training: Conduct training sessions for users and database administrators on accessing and managing data within the SQL environment.
• Maintenance and Support Guidelines: Provide guidelines for post-migration support, including regular maintenance, data updates, and issue resolution.

7. Go-Live and Post-Migration Support