Data Life Cycle Management in the Age of Big Data

Organizations are eager to harness the power of big data. Big data creates tremendous opportunities and challenges. 

The data lifecycle stretches through multiple phases as data is created, used, shared, updated, stored and eventually archived or defensively disposed. Data lifecycle management plays an especially key role in three of these phases of data’s existence:

1. Disclose Data
2. Manipulate Data
3. Consume Data

Organizations can benefit from data only if they can manage the entire data lifecycle, focus on good governance, use, share and monetize data.