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What is Own Data?

The Own Data platform streamlines the management of your ownership over SaaS data, equipping you with essential tools to ensure your critical information is available, compliant, and secure, while also revealing innovative methods to utilize that data for transformative business initiatives. Although SaaS applications contribute to enhanced safety, security, and accessibility of data, they frequently do not maximize the inherent value of that data for your organization. In the current intricate business environment, the task of data management and deriving significant insights has become increasingly challenging. You may find that the limitations set by your SaaS provider can hinder your ability to fully utilize your own data. It is vital to be aware of the risks linked to potential data exposure and to take proactive measures to strengthen your Salesforce security protocols. Protect your data with automated backups, prompt alerts for any instances of loss or corruption, and intuitive recovery tools. You can easily fill any sandbox or sub-production environment with high-quality data for purposes including development, training, or testing. Moreover, archiving outdated data from production settings can help you avoid additional expenses, boost overall performance, and uphold compliance, ensuring your organization's data strategy remains both effective and efficient. As businesses progress, implementing a comprehensive data management solution becomes crucial for sustaining a competitive advantage, allowing organizations to adapt and thrive in a rapidly changing market landscape.

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 Archiving data from outdated applications and historical transaction records is vital to ensure ongoing access for compliance inquiries and reporting purposes.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

Akitra Andromeda
Amazon Web Services (AWS)
Certinia ERP Cloud
Copado
Honeywell Safety Manager
IBM Cloud
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
IQVIA
Microsoft Dynamics 365
Microsoft Power Platform
PwC Master Data Management
Salesforce
ServiceNow
Snappy Queue Management System
Veeva CRM
Workday Extend
nCino Cloud Banking Platform

Integrations Supported

Akitra Andromeda
Amazon Web Services (AWS)
Certinia ERP Cloud
Copado
Honeywell Safety Manager
IBM Cloud
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
IQVIA
Microsoft Dynamics 365
Microsoft Power Platform
PwC Master Data Management
Salesforce
ServiceNow
Snappy Queue Management System
Veeva CRM
Workday Extend
nCino Cloud Banking Platform

API Availability

Has API

API Availability

Has API

Pricing Information

$2.90 per month
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

Own Data

Company Location

United States

Company Website

www.owndata.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics/optim

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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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