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What is Zeenea Data Catalog?

Utilize our cloud-driven Data Catalog to establish a cutting-edge workspace for your data teams, which will facilitate their ability to find, understand, and collaborate on data assets and their uses efficiently. By creating a reliable and transparent ecosystem for data assets across the organization, you can effectively empower your data teams to excel in their roles. The configuration process is simple, the interface is intuitive, and it is designed to support scalable operations seamlessly. You can easily organize and share your team's data insights and applications beyond your immediate department, fostering broader collaboration. By integrating Zeenea with your data sources, real-time insights become accessible, significantly improving your data teams' efficiency by reducing the time dedicated to locating enterprise assets. Build a comprehensive repository that encompasses all your data assets and their applications at the enterprise level, leveraging the power of metadata with just a few clicks. Streamlining the data discovery process allows your teams to focus on what is truly essential: the timely execution of their data initiatives. This method not only optimizes operations but also cultivates a collaborative culture throughout the organization, ultimately driving innovation and productivity.

What is CA Data Content Discovery?

Recognizing, organizing, and safeguarding essential business information is crucial for minimizing risks and ensuring compliance with regulations. CA Data Content Discovery assists businesses in identifying potential data exposure risks while allowing them to establish strong protection measures for their information. By discovering data within mainframe systems, classifying it based on sensitivity levels, and producing comprehensive reports, organizations can improve their compliance and auditing practices. As companies confront a more complex regulatory environment alongside the demands of the digital economy, it becomes imperative to categorize data in line with compliance standards or organizational goals, leading to reduced manual efforts, streamlined compliance processes, and enhanced productivity. A thorough comprehension of your data landscape is vital for effective data security. Leveraging critical insights and detailed reporting can guide strategic decision-making, minimize risks, and fortify the organization, ensuring resilience amidst the challenges of the modern business world. This proactive approach not only protects vital assets but also bolsters the organization's long-term sustainability and growth.

Media

Media

Integrations Supported

Intertrust ExpresssPlay
Microsoft Excel

Integrations Supported

Intertrust ExpresssPlay
Microsoft Excel

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

Zeenea

Date Founded

2017

Company Location

France

Company Website

www.zeenea.com

Company Facts

Organization Name

Broadcom

Date Founded

1991

Company Location

United States

Company Website

www.broadcom.com/products/mainframe/compliance-data-protection/data-content-discovery

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Governance

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

Data Management

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

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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