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What is PuR MetaData?

Streamline your organization's security by eliminating unnecessary metadata from email attachments today! With PuR MetaData, companies can quickly and effectively lower the chances of sensitive information being accidentally shared. This robust tool not only reduces legal risks but also helps avoid costly lawsuits by protecting your organization’s confidential details. Furthermore, PuR MetaData is crafted to enhance both team productivity and overall efficiency. It is intuitive, reliable, and budget-friendly, enabling users to actively participate in their decision-making processes. The platform is methodically organized, allowing users to independently review the metadata of each file and perform risk evaluations. PuR MetaData expertly analyzes and removes hidden information from a variety of file formats, such as Word, Excel, PowerPoint, and PDF attachments. Our user-friendly interface not only boosts productivity but also facilitates smooth business operations, ensuring your organization stays focused and efficient. By choosing to invest in PuR MetaData, you are making a commitment to uphold your organization’s privacy and maintain operational integrity. In a world where data breaches are becoming increasingly common, safeguarding your information has never been more critical.

What is IBM InfoSphere Optim?

Proper management of data throughout its entire lifecycle is crucial for organizations to meet their business goals while reducing potential risks. Archiving data from outdated applications and historical transaction records is vital to ensure ongoing access for compliance inquiries and reporting purposes. By distributing data across different applications, databases, operating systems, and hardware, organizations can improve the security of their testing environments, accelerate release cycles, and decrease expenses. Failing to implement effective data archiving can lead to significant degradation in the performance of essential enterprise systems. Tackling data growth directly at its origin not only enhances efficiency but also minimizes the risks associated with long-term management of structured data. Moreover, it is important to protect unstructured data within testing, development, and analytics settings throughout the organization to preserve operational integrity. The lack of a solid data archiving strategy can severely impact the functionality of critical business systems and hinder overall success. Consequently, taking proactive measures to manage data effectively is fundamental for cultivating a more agile, resilient, and competitive enterprise in today's fast-paced business landscape.

Media

Media

Integrations Supported

IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy

Integrations Supported

IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy

API Availability

Has API

API Availability

Has API

Pricing Information

$39 per year
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Evolution Software

Date Founded

2010

Company Location

United States

Company Website

www.evsoftware.com/pur

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics/optim

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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