Legacy data is inactive data which isn’t usually required for day to day business activities. Its growth tends to come from changes in IT or with business strategy, and applications becoming retired (commonly left as a resource for future reference). It often sits outside of an organization’s information governance strategy, exposing you to business risk, expense and operational inefficiency. It is reported that as much as 70% of all content contained in an unmanaged server could be classified as ROT.
What is Legacy data?
This usually comprises of duplicate data which can be in many forms.
e.g. unauthorised copies of documents, emails and accounts. It could even be information residing in databases such as file-share systems, SharePoint sites and mailing systems.
This data is out of date and no longer in use. To define if something is obsolete, check specifics such as its creation date, date last modified or date last accessed. Then assess this information alongside an appropriate retention policy.
This data is deemed as having no legal or business value.
This information can be outdated and extraneous and does not help an organization meet its goals. Instead it increases excessive storage, infrastructure and maintenance costs.
"We’re seeing more organizations than ever taking a ‘store everything’ approach as a way of managing their exponential data growth. With the correct tools, organizations can take control, regain visibility, implement policies and protect their business against a data crisis."
- Ryan Lott, CEO, Neocol
What will SmarterDLP for legacy data help you understand?
Do you know how much data you have?
Do you know where your data is located?
Do you know how old your data is?
Do you know how your data is categorised?
Do you know who the authors are?
Do you know how much of your data still has business value?
In-place data management
Understand your data landscape from anywhere
Actionable intelligence system
Supports over 150 data sources and 450 file types
Robust and powerful search functionality
Visibility and control of sensitive unstructured data
A simplified analysis system
Quickly initiate a data clean up
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