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What is Endeca Information Discovery?

Oracle Endeca Information Discovery delivers a versatile solution for agile data exploration across organizations, effectively balancing user autonomy with IT oversight. This cutting-edge platform allows for swift and intuitive access to traditional analytics, leveraging existing enterprise resources, alongside unconventional data sources, which empowers businesses to uncover unique insights that drive growth while saving time and reducing expenses. Only Oracle provides a comprehensive enterprise platform that incorporates strong self-service discovery capabilities, expediting decision-making and relieving IT workloads while fostering innovation. Users can easily upload their data into Oracle Endeca Information Discovery to create tailored discovery applications that support in-depth exploration and analysis. Moreover, they can personalize these applications by simply dragging and dropping ready-made components like charts, tables, tag clouds, and maps, greatly improving their ability to visualize and understand data. This not only enables business users to take ownership of their data but also equips them to make well-informed decisions independently, thus enhancing overall organizational efficiency. As a result, this powerful tool encourages a culture of data-driven decision-making throughout the enterprise.

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

Integrations Supported

Intertrust ExpresssPlay

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

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/middleware/technologies/endeca.html

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

Insight Engines

AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis

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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