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What is Prosperoware CAM?

CAM tackles the challenges posed by various collaboration platforms, reducing risks and costs while streamlining the processes related to data provisioning, classification, protection, movement, and minimization, particularly for organizations focused on projects and relationships. In addition, CAM improves data management and governance, ensuring that it is accessible, secure, and compliant with relevant regulations. By cutting down on the chaos of data scattered across multiple systems, it enables users to effectively organize their documents and helps risk management teams to understand the necessary context. Users can seamlessly create Teams, Channels, workspaces, folders, and documents through either automated processes or manual workflows, enhancing operational efficiency. The inclusion of comprehensive metadata not only aids end users in locating data quickly but also supports risk management teams in assessing the significance of documents. Furthermore, CAM offers standardized naming conventions specific to various groups and teams, which significantly boosts data organization. Ultimately, it transforms data protection strategies by facilitating the effective management of both internal and external users and groups, assigning suitable roles and permissions, and streamlining access control as needed. This holistic approach not only fosters a more structured and secure data environment but also empowers organizations to adapt quickly to evolving data requirements.

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 Archiving data from outdated applications and historical transaction records is vital to ensure ongoing access for compliance inquiries and reporting purposes.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

Cerrebro
DynaRent
Element
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
Microsoft 365
Microsoft OneDrive
Microsoft OneNote
Microsoft Planner
Microsoft SharePoint
Microsoft Teams
Tikit
iManage

Integrations Supported

Cerrebro
DynaRent
Element
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
Microsoft 365
Microsoft OneDrive
Microsoft OneNote
Microsoft Planner
Microsoft SharePoint
Microsoft Teams
Tikit
iManage

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Prosperoware

Date Founded

2009

Company Location

United States

Company Website

www.prosperoware.com/cam/

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

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

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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