Our final episode deals with the last two stages of the data lifecycle:

• Distribution - Taking the data that was analyzed and getting it to the right people. 
• Removal - Knowing the timeframe you need to keep data, per state and government requirements is key; be aware of those rules because that information drives when to purge. 

This stage also addresses what can be archived vs. what needs to be purged; what systems can be retired and what to do with the data. When you’re in the planning stage, you need to consider how data will be handled at the end of its life.

We’ll also discuss the importance of determining what data needs to be public-facing which entails pushing information outside of the firewall, assigning permissions, protecting backend data, etc.