This research discusses the complexities and solutions found in preparing large datasets for analysis under a digital experience platform (DXP). Key insights include:

• Efficient data preparation: The developed pipeline automates and optimizes the preparation of large-scale billing data.
• Enhanced analytics capability: Prepared data supports advanced features like churn prediction and user segmentation.
• Application across sectors: Insights from the study apply broadly, benefitting sectors like utilities, telecommunications, and media.

Impact and Perspective: By optimizing data flows and easing the analytics process, this study propels the efficiency and scope of digital platforms in data handling. It offers a framework that could be adopted by various industries to harness data for strategic insights.