Data Analysis

Data Analysis

With increasing volumes of data, understanding and managing information becomes a challenging task. This is especially true if a subset of data is to be moved, or archived. Knowing what data to move is a key question, and more importantly knowing how much storage will be released is even more important, which is why gaining insight into unstructured data is key requirement for most organisations. This is why ShareArchiver offers tools and enables data visualization in an easy to understand and digest graph. Following this, it is easy to determine policies that would best serve the needs of the organisation – Remote file servers may also be analysed over a wide area network (WAN).


Understand Data Patterns

Understand Data Patterns

Understand what files types are presently taking up storage, the rate of increase over time, and compare data volume over time in order to get insight and predict future trends. This information allows better knowledge of how much data can be archived and storage volume released. The system allows users to run custom queries against data for enhanced understanding of data.


Implement Effective Archive Policies

Implement Effective Archive Policies

From analysis of data, administrators can easily determine the type of archive jobs that would be most suitable. The data is moved to an archive repository, leaving behind stub files for transparent access.