Remediate and Govern

Governance of Unstructured Data

An estimated 80% of organisational data is unstructured, and that up to 70% is ROT. ROT refers to redundant, obsolete and trivial data that is no longer fit for purpose or of any value. Organisations are increasingly creating more information daily, and in a wider range of formats. This information includes everything from documents, records, reports and files, to phone recordings, emails, videos and photos – and without governance.

Perhaps the data is duplicated across multiple locations, over-retained due to lack of policy enforcement, or information is incorrect or outdated.

Not all the data an organisation holds is required, and by over-retaining this information, the business is exposed to multiple risks, paying excessive storage costs, and experiencing an impact on business productivity.

If you don’t know what data your estate holds, then you can’t decide what data needs cleansed, what needs to be kept or archived. So, most organisations keep it all.

 

What is ROT Data?

ROT refers to redundant, obsolete and trivial data that is no longer fit for purpose or of any value. Perhaps the data is duplicated across multiple locations, content is redundant, information no longer needs to be kept or is incorrect or outdated. It’s this non-business-critical content which is the problem.

ROT Graphic

What are the Risks of ROT Data?

For organisations, understanding your data is paramount. The analysis from understanding your data will help determine informed business decisions.

Due to the increasing amount of content generated during day-to-day business activities, disk space is at a premium.

Over-consumption impacts performance, from users storing data inappropriately, data becoming irreversibly lost due to backups not completing, and employees accessing old and inaccurate information, not to mention wasting valuable time searching for the correct information. This inevitably results in a loss of productivity.

Temporary measures to reduce data volumes will only increase the risk that current data is deleted, without any recovery options.

As a result, urgent purchases of expensive disks are often seen as the solution. This only increases storage costs, without solving the data problem.

Our cloud-hosted solution, AI.DATALIFT, cleanses and identifies ROT data within 24 hours of deployment, enabling the removal of low value content, releasing disk space and ensuring that the information is accurate, up-to-date and useable. Data cleansing also negates the need for additional expensive storage facilities, reducing management costs.

 

Features

Classifying your organisational data using AI.DATLIFT for Data cleanse and ROT provides a range of features including:

  • Metadata based ROT identification: Quickly discover ROT within your existing data
  • Data Classification Dynamic categorisation using metadata & content analysis providing business context
  • Policy Actions: Fully audited defensible disposition to reduce volume of redundant, obsolete & trivial data at source

Benefits

Taking control of your growing unstructured data. Our customers are experiencing a wealth of benefits including:

Reduction of storage costs


Up to 70% of information can be remediated

Increased productivity


Users can easily and efficiently find and manage files

Improved governance and security


Minimise undetected threats and data breaches

Downloads

Cover image for file: Data-Remediation-Solution-Guide

Data-Remediation-Solution-Guide

PDF
16 Jan 2023
Cover image for file: Data Remediation NHS Trust Case Study

Data Remediation NHS Trust Case Study

PDF
26 Nov 2021
Cover image for file: GDPR Retail Bank Case Study

GDPR Retail Bank Case Study

PDF
2 May 2018