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Understand and Remediate Data

Organizations increasingly struggle to manage the risks related to the information they produce as the volume, complexity and variety of data grows exponentially.

Enterprises can overcome this challenge by identifying and understanding valuable data, remediating data that is no longer needed and categorizing the data that remains. This process of information governance ultimately reduces risk and cost in the enterprise.

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Understand Your Data

Understand the data you are currently storing, so you can identify what is valuable and what is not.

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Remediate Information

Take action by deleting information that is not needed, while retaining or migrating the rest.

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Categorize What You Keep

Automatically categorize data as it is created to better maintain, manage and organize valuable information.

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Understand Your Data

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Taking the First Step

When it comes to developing the right information management strategy, many organizations are in the dark about what they are actually storing.

How much Dark Data is there?

The vast amount of data that has been collected over the years and is not being used for any business purpose is known as “dark data”.

Understand what you have

Using Recommind’s technology, organizations can answer key questions about the history, value and purpose of the data.

Protecting Sensitive Information

Whether you are dealing with intellectual property, employee data or Personally Identifiable Information (PII), ensuring sensitive information doesn’t fall into the wrong hands is a profound risk in today’s environment.

Examples of PII

Examples of PII include Social Security Numbers, Account Numbers, Addresses, Names, Personal Health Information (PHI) and more

Identify sensitive data

Recommind’s intelligent categorization and entity extraction technology can be used to quickly identify sensitive information regardless of its format or location.

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What Our Customers Are Saying

“Information overload is more than an annoyance; it’s a chronic problem with serious financial consequences. Highly automated machine learning-based solutions will play an important role helping enterprises move toward proactive information governance.”

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Defensible Disposition:

Automating Content Categorization and Deletion

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Remediate Information

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Data Migration

During the process of migrating content from legacy systems to modern ones, there is a unique opportunity to reduce cost and risk by remediating valueless data.

Migrate only the data

Migrate only the data you care about, and move it in an organized and scalable way.

Spring Cleaning for your data

With Recommind’s technology, legacy repositories can be culled and categorized intelligently to lower migration time, effort and costs.

Defensible Deletion

Many organizations want to dispose of unneeded or valueless information in order to reduce storage costs, mitigate risk and limit eDiscovery liabilities.

What can I delete?

The overriding problem has been ensuring that only the unneeded information is actually being deleted.

Machine Learning can help

With enterprise-wide intelligent categorization that utilizes machine learning and supervised learning techniques, this process can be automated, highly accurate, and defensible.

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What Our Customers Are Saying

“The initial goal of the automated records retention program was a 70% accuracy rate. After 3 months in production, the program exceeded that goal with an 87% accuracy rate.”

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Categorize What You Keep

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Compliance Monitoring

Due to certain industry regulatory rules that require vigilant compliance monitoring, it’s crucial for systems to keep up with the ever growing and fast paced flow of communications.

Manual processes don’t scale

The reliance on manual information monitoring is too cumbersome and inaccurate to be fully effective.

Intelligent policy enforcement

By applying intelligent categorization, companies can automate the monitoring process to efficiently meet their strict compliance requirements.

Records Identification

For years, attempts have been made to manually classify business documents against complex taxonomies for retention, disposition and policy purposes. However, more often than not, these initiatives fail.

Forget about manual categorization

Very little information is filed and even when information is added into a Records Management system, it is often miscategorized or contains other errors.

Intelligent categorization

Automatically applying intelligent machine-learning based categorization ensures the correct information is kept and available for the business to use and mine for additional value.

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WHITE PAPER

Get Your Data Under Control

Download the White Paper

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