File analysis & data cleanup—perfected.

Personalized demo

For companies looking for the best way to perform file analysis or ROT analysis of file shares, Integro’s ACTT™ (Analysis, Cleanup and Tagging Tool) software provides an easy to use, end-to-end process for discovering, decisioning, and acting on data cleanup at a fraction of the price of major industry solutions.

ACTT™ provides a coordinated review workflow to enable organizations of any size to effectively delegate action decisions to data reviewers. This enables you to quickly and easily reduce your file share ROT in an orderly fashion, enabling your organization to establish quick wins, gain executive buy-in, and deliver ROI at lightning speed.

Step 1: Clearly visualize your content profile and recommended policies

ACTT scans your file shares and then analyzes the metadata using Integro’s pre-built policy templates, assigning a ROT probability to each file. You get a clear, concise content profile with policy actions, all in an easy to visualize format.

Integro ACTT Content Profile

Step 2: Easy review and tagging for data reviewers

While you may be able to action high probability ROT without data reviewer involvement, there likely will be content requiring their input. With ACTT™, engaging data reviewers is simple. No need for hundreds or thousands of complicated and fragmented spreadsheets or long, drawn out processes. ACTT™ provides an easy-to-use web interface where you can request decisions by data reviewers. Through the interface, reviewers can quickly and easily tag specific content for deletion. Reviewers need only review a small, pre-filtered subset of files, fostering greater efficiency.

Integro ACTT Web Interface

Step 3: Streamlined data cleanup workflow

Once you’ve made decisions based on policies and reviews, taking action on your content is easy. Next steps might include immediately deleting high probability ROT, archiving medium probability ROT, and taking actions based on data reviewer tags. All administrator actions of delete and archive are audited, as are data review tasks. As data reviewers complete their reviews, audit entries viewed through visual dashboards show quick, steady progress.