2 DESIGN Data Analysis & Migration Plan (2 of 2) Building the data model is one of the foundational activities of any implementation. Even if the engagement uses an Agile methodology, the baseline data model and a change control process should be established early in the engagement. How To Perform Performing a customer data assessment involves several systematic steps to evaluate the quality, completeness, and usefulness of customer data. Here’s a step-by-step guide: 8. Data Segmentation Segment Data: Divide the customer data into meaningful segments based on relevant criteria such as demographics, purchase behavior, and engagement levels. This helps in targeted analysis and marketing. 9. Data Analysis Analyze Data: Perform detailed analysis using statistical methods, data mining techniques, and machine learning models to extract insights about customer behavior and trends. 10. Reporting and Visualization Visualize Data: Create reports and dashboards to present the findings of the data assessment. Use visualizations to highlight key insights and data quality issues. 11. Documentation Document Findings: Prepare a detailed report documenting the data assessment process, findings, data quality issues, and recommendations for improvement. 12. Develop Action Plan Action Plan: Develop a plan to address the data quality issues and implement improvements. This includes defining roles, responsibilities, timelines, and resources needed. 13. Continuous Monitoring Monitor Data Quality: Establish ongoing data quality monitoring processes to ensure that the data remains accurate and useful over time. 14. Stakeholder Communication Engage Stakeholders: Communicate the results and action plans to all relevant stakeholders, ensuring alignment and support for the data improvement initiatives.