AFR: Automated File Reduction

Find, analyse, report and monitor each and every file, document and record across the organisations network - wherever they exist in servers, storage, drives, directories, folders and archives. Identify every instance of file ‘ROT’ - Redundant, Obsolete or Trivial. Analyse and report on them all to make informed decisions to root out the ROT. And make all of this happen automatically with dynamic monitoring going forward so the ROT can never return.

The widespread phenomenon of file ROT across and within most organisations is a significant cost and poses a substantial security risk with consequent monetary and reputational loss.

In answer, AFR automatically finds, analyses, reports and continually monitors each & every file, document & record actross an organisations network to uncover the ROT so it can be dealt with before it becomes a bigger problem than already exists. This enables the organisation to address the cost, misinformation, productivity, security and liability losses caused by ROT immediately and going forward.

As unstructured data continues to grow exponentially, ROT is clogging organisation networks resulting in unnecessary risk and expense. Depending on industry, 40% to 70% of this data has no business value. To illustrate; the Association of Information and Image Management (AIIM) reports that, on average, 50% of an organization’s retained information has no business value. Equally, data decays at a rate of 2.1% per month – which means that around one-third of an organisations data becomes ROT each year.

Because in finding & knowing everything about your documents & files (and everywhere they are located) you can make informed decisions and take appropriate action to stop the ROT. And beyond the initial discovery and findings, AFR will continue to monitor and report upon the new existence of ROT wherever it occurs.

Folding Space Automated File Reduction (AFR) is the most advanced, productive & affordable answer to ROT that quickly delivers significant cost savings and substantial risk reduction.