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What is Netwrix Enterprise Auditor?

Netwrix Enterprise Auditor simplifies the process of collecting and analyzing critical information to address the toughest challenges concerning the management and security of vital IT resources, including data, directories, and systems. Every organization, regardless of size, requires efficient tools to oversee and protect the various technological assets that are essential to their operations. However, it is not feasible for any organization to allocate resources to, effectively manage, or maintain separate solutions for each technology in use. What they truly need are flexible solutions that not only meet their specific requirements but also provide a cohesive set of features across different platforms within their IT landscape. With an impressive suite of over 40 integrated data collection modules, Netwrix Enterprise Auditor accommodates both on-premises and cloud environments, from Operating Systems to Office 365, ensuring thorough coverage and user-friendly operation for businesses. This broad functionality empowers organizations to uphold a secure and efficient IT framework, ultimately enhancing their overall operational effectiveness. By streamlining data management, companies can better focus on innovation and growth.

What is AutoDiscovery?

AutoDiscovery is a sophisticated software solution crafted for automated exploratory data analysis, enabling biomedical researchers to uncover complex relationships hidden within their experimental and clinical trial data. This innovative tool autonomously identifies the appropriate statistical tests required to assess the connections between different variable combinations in each data subset. AutoDiscovery effectively tackles prevalent challenges in biomedical research, such as discerning cause-effect relationships, managing false discovery rates, addressing small sample sizes, organizing treatment groups, and ensuring result traceability. Specifically designed for Principal Investigators, who often face time constraints and may lack extensive statistical knowledge, it allows them to focus on conducting significant and productive research endeavors. Additionally, this software streamlines research workflows, promoting faster insights and breakthroughs in the biomedical domain while empowering researchers to make data-driven decisions with confidence. By leveraging AutoDiscovery, researchers can enhance the overall quality of their findings and contribute more effectively to advancements in health science.

Media

Media

Integrations Supported

Netwrix Auditor

Integrations Supported

Netwrix Auditor

API Availability

Has API

API Availability

Has API

Pricing Information

$10.00/one-time/user
Free Trial Offered?
Free Version

Pricing Information

€1.795 per year
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

Netwrix

Date Founded

2006

Company Location

United States

Company Website

www.netwrix.com/enterprise-auditor.html

Company Facts

Organization Name

Butler Scientifics

Date Founded

2014

Company Location

Spain

Company Website

www.butlerscientifics.com

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 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

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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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