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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 Card Recon?

Card Recon, developed by Ground Labs, stands out as the go-to cardholder data discovery solution for over 300 PCI Qualified Secure Assessors (QSAs) and PCI Forensic Investigators (PFIs). This tool is widely recognized and utilized in more than 80 countries, with over 4,500 merchants relying on it for efficient credit card data discovery. Ground Labs provides two top-tier scanning options tailored for small to medium-sized businesses: Card Recon Server and Card Recon Desktop. The software effectively scans through files, memory, and even deleted locations on both workstations and file servers (specifically with Card Recon Server), meticulously examining hundreds of file types to pinpoint credit card numbers from the ten leading payment card companies. Moreover, Card Recon boasts custom-built capabilities for PCI compliance data detection, adeptly identifying credit card numbers from major card brands and recognizing over 160 unique primary account number (PAN) formats worldwide. This level of precision and reliability makes Card Recon an indispensable tool for businesses aiming to maintain compliance and protect customer data.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Ground Labs

Company Location

United States

Company Website

www.groundlabs.com

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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