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What are the 6 Phases of the Data Lifecycle?

What are the 6 Phases of the Data Lifecycle

Data is the pulse of your business. Both structured and unstructured data is being gathered at an alarming rate – to the tune of 1.145 TRILLION MB per day, by 4.66 BILLION internet users.

But what happens to all that data?

Data Lifecycle Management (DLM) is the process that follows data from creation to destruction, with each phase controlled by a set of policies customized to your business needs. Your data lifecycle management policies should reflect your compliance regulations, privacy standards, and your degree of data accessibility.

Not sure how long you are obligated to keep your business data? Nervous about tossing something you may need someday?

Are you a data hoarder?

Do you hide hard drives in the bottom drawer of your desk ever since your IT department threatened you with data limits?

Don’t be that guy.

Strive for a Type A personality – manage the flow of data by making clean and transparent decisions about data ownership, governance, and analysis - and get rid of the piles of junk plaguing your servers. Become comfortable with archiving or deleting data to optimize your resources and maintain the integrity of your data.

If you have the right Data Lifecycle Management processes in place, you are more prepared to designate data for high availability, extra security, or elimination. The ability to control your data and put it into categories will save you time, money, and IT resources.

  phases of the data lifecycle



Check out the 6 Data Lifecycle phases that support business data viability:

  1. Data creation

This one may be beyond obvious but take a moment to see where the bulk of your data is generated. You would hope that valuable active data from research and development efforts, customer interactions on your website, data entry, shared/purchased data, financial data, and transactional data constitute the bulk of your data creation phase. But if you see that your employees are saving memes, Instagram screenshots, or YouTube videos on your servers and taking up cloud space, then you need to tighten your data policies and enforcement.

  1. Data maintenance & storage

The quality and accuracy of your data are as important as its accessibility. Bad data can directly impact revenue, as poor data hygiene is a source of inefficiency. 77% of leaders don’t trust the data available to them to make complex business decisions. Once you have curated the data that will drive business decisions, how do you ensure it remains accurate and accessible? It seems like circular logic because it is. The constant cycling of data generation, analysis, integration, storage, and elimination gives Executives the quality data they need to make decisions. But that data maintenance cycle needs governance. 

  1. Data usage

What is the value of your data? How are you synthesizing the results of data analytics? This is the phase where you align value with action. How is your data used and moved around your enterprise? Maybe you incorporate feedback from end-users into product enhancement opportunities? Roles need to be defined around who has access to sensitive data. 

  1. Data publication

Data publication and sharing can create issues around compliance and security restrictions. While it is important to share your valuable insights and research, you need to control the way your data leaves your enterprise. And the way recipients engage with your publications needs to be tracked and evaluated. 

  1. Data archiving

Data archiving strategies should be built around the utility and sensitivity of the data stored. Consider privacy, data ownership, legal requirements, and the length of time you need to keep that data. Archiving removes your data from your active environment but keeps it in deep storage should you need it again.

  1. Data destruction

Free yourself by deleting active and archived data that no longer hold value to your organization. Not only does the data need to be appropriately destroyed, but you must adhere to internal governance policies and legal standards depending on the sensitivity of the data.

Right-size your data with TBC

TBConsulting is a full-service Managed Services Provider with 25 years of experience in data management and storage. We can help you optimize your data lifecycle management strategy with our data center and hybrid cloud solutions. Based in Phoenix, Arizona, TBC has been awarded one of the Top Places to Work in AZ and continues to attract top IT talent to support our contracts and develop forward-focused IT solutions that enable our clients to thrive.

Contact TBConsulting today if you need help building a Data Lifecycle Management framework. Learn more about the importance of data-driven decision-making in TBC’s eBook.

6 Phases of the Data Lifecycle