Each stage of the data lifecycle is equally important, from collection, to storage, processing, analysis, deployment, and deletion. When customer data is scattered across different departments and databases, it leads to redundant records, inaccurate insights, and wasted resources. The result was saving thousands of engineering hours, while increasing mobile app users by 376% with better… Continue reading Data Lifecycle: The 8 stages and Who Is Involved