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What is NiCE Active 365 Management Pack?

Monitoring and Visualizing Microsoft 365 Performance The deployment of Microsoft 365 can involve numerous intricate components, including Teams, SharePoint, and Exchange, and while failures are rare, they cannot be entirely dismissed. Due to the interconnected nature of M365 elements, tracking the entire deployment can be quite challenging; for instance, while your Microsoft 365 Service Health Dashboard in the Admin Center may show no reported problems, users might still submit tickets indicating issues with logging into SharePoint. This complexity is alleviated by the NiCE Active 365 Management Pack, which effectively identifies and highlights performance issues linked to specific users, groups, or mailboxes. With advanced monitoring capabilities for both infrastructure and applications, organizations can enhance user experience, expedite troubleshooting processes, prevent outages, and ultimately ensure a smoother overall operation. By leveraging such tools, IT teams can proactively address potential issues before they escalate, fostering a more reliable and efficient Microsoft 365 environment.

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

Microsoft 365
Microsoft Entra ID
Microsoft Exchange
Microsoft SharePoint
Microsoft System Center Operations Manager (SCOM)
Microsoft Teams

Integrations Supported

Microsoft 365
Microsoft Entra ID
Microsoft Exchange
Microsoft SharePoint
Microsoft System Center Operations Manager (SCOM)
Microsoft Teams

API Availability

Has API

API Availability

Has API

Pricing Information

on request
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

NiCE IT Management Solutions GmbH

Date Founded

1991

Company Location

Germany

Company Website

www.nice.de/microsoft365/

Company Facts

Organization Name

Butler Scientifics

Date Founded

2014

Company Location

Spain

Company Website

www.butlerscientifics.com

Categories and Features

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

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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