3D data heatmap - simply find the mountain of data

What do you get out of it

  • You can analyze the existing structures at a glance,
  • You can initiate targeted optimizations,
  • You can use the potential of migRaven.24 / 7 Exploring data retention.

If you never clean up, it piles up at some point. It is exactly the same with the data. Only in the opposite direction. The number of documents determines the number of directories, the number of directories determines the depth of the directories. The user continues to structure the filing from a certain amount. This means that the data are always deeper. This is particularly unfavorable when the latest data is in ever deeper levels.

The latest data should always be at the top. Then the user can find these documents, which are probably the most relevant, much faster and does not waste valuable time searching. In addition, consequential errors are avoided because, for example, he did not find the correct version but continued working on an old / incorrect version.

The 3D data analysis shows the current status of the structure in three different representations. Access to this analysis is available to administrators and owners.

3D view of the mountain of data

Start the analysis in migRaven.24 / 7 Web Client.

Explanatory table for the mountain of data

The documents found are analyzed during the scan and the age information in migRaven saved. On the basis of the LastChangeDate, the documents are sorted into AGE CATEGORIES (columns). At the same time it is analyzed in which DIRECTORY DEPTH (rows) the documents are located. In the CELLS you can then see how many documents there are in the area. The numbers are displayed in white where most of the documents in an age category / directory depth were found.

Example of suboptimal structure

In the following case, it can be seen that most of the documents from the categories
"Younger than 30 days", "1-6 months" and "6-12 months" are all in the 7th directory level. From the point of view of an efficient filing structure, this is clearly too deep.

New data should be on top - older (obsolete) data should move down and eventually move out. (Data retention)

Example of an optimal directory structure - migRaven active filing

Much fewer files, fewer directories, new documents are higher up in the directory tree, the maximum directory depth has been reduced.

Explanation of the values ​​found

All numbers are explained in detail. Conspicuous values ​​are highlighted.

Analyzes are historicized

You can use the date picker to select the data status and compare the values.

Permanent link to this post: https://help.migraven.com/3d-daten-heatmap-einfach-den-datenberg-finden/

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