Inventory of your data with migRaven.24/7 Detailed information about the data on the file server

Not only the GDPR demands that companies know where the important and sensitive data actually lie. But the mass of unstructured data is distributed uncontrollably via the file system and warehouset themselves in deeply nested directories. Resolving this contradiction is a declared goal when it comes to analyzing file server data.

Obsolete data limits the work of all users

Administrators would like to know which data is really still needed and which only costs storage space and unnecessarily lengthens the backup. But backup costs are marginal if you compare them with the imputed loss due to the ubiquitous inefficiency in using the file system.

With various reports on authorization depth, data usage, obsolete data, and much more. allows migRaven deep insights into the state of your data and rights structure.

Action through Transparency

Who is an administrator or Data owner (Data Owner) wants to get a clear view or just an overview, will not get on with the on-board resources provided by the operating system. But transparency is absolutely necessary in order to understand data structures and in the end restructure them.

Questions that need to be answered:

  • Where does the outdated data lie?
  • Who is responsible for which data?
  • How complex is my data structure?

Overview for efficient work

The mass of useless data prevents an unobstructed view of the files actually needed, causing errors and time delays. This affects all users in their daily work and causes employees of large organizations to spend an average of 30 - 60 minutes per day (!) Searching for files or to work with old and wrong files. 

On average, 60 - 80% of all data in the large enterprise file system is outdated, obsolete or simply wrong. For the user much worse: on every employee Tens of thousands of files come in hundreds of folders and subfolders. Anyone manually deleting some files here can give up directly. 

migRaven's Tree View: Breakdown of the file age ...

... or differentiated by file types.

What is it all about?

Of course, structural analysis does not just concern the location of data. Also connections like here between data age and file type are valuable information, which make a subsequent cleansing of these data structures possible.