Raynet Unified Data Platform Description
Are your IT projects driven by business failing because of insufficient or inaccurate data?
It is difficult for organizations to bring together their IT asset data and gain useful insights. You can't collect data, but you can normalize it, normalize it, and enrich it. 90% of cases show that organizations can collect data but cannot transform it into visibility or actionable insight by aggregating, normalizing and enriching it.
The Raynet Unified Data Platform gives you continuous access to high-quality, validated and reliable data that will help you make strategic IT asset management decisions. The data platform provides the insight you need to manage your IT environment.
Integrations
API:
Yes, Raynet Unified Data Platform has an API
No Integrations at this time
Company Details
Company:
Raynet
Year Founded:
1999
Headquarters:
Germany
Website:
raynet.de/unified-data-management/unified-data-platform/
Media
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Product Details
Platforms
SaaS
Windows
Mac
Linux
Chromebook
On-Premises
Type of Training
Documentation
Live Online
Webinars
In Person
Videos
Customer Support
Phone Support
24/7 Live Support
Online
Raynet Unified Data Platform Features and Options
IT Asset Management Software
Asset Tracking
Audit Management
Compliance Management
Configuration Management
Contract/License Management
Cost Tracking
Depreciation Management
IT Service Management
Inventory Management
Maintenance Management
Procurement Management
Requisition Management
Supplier Management
Data Management Software
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Application Lifecycle Management Software
Administrator Level Control
Defect Tracking
Iteration Planning
Project Management
Release Management
Requirements Review
Task Management
Test Case Tracking
User Level Management
Version Control
Data Analysis Software
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery Software
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics