Your team will gather data from public resources or conduct surveys for first-hand feedback collection. Later, you want to sort the acquired data to identify trends, problems, and opportunities. However, mixed data objects must comply with a consistent formatting requirement to avoid inaccurate processing. So, you transform data, analyze, and report the findings. This post will describe and explain data lifecycle management, revealing the journey of datasets from creation to archiving or deletion.
What is Data Lifecycle Management?

