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What is Safyr?
Safyr® dramatically reduces the time, costs, and resources required for discovering ERP metadata by as much as 90%. Users looking to effectively utilize metadata from leading ERP and CRM platforms such as SAP, Salesforce, Oracle, and Microsoft encounter three major obstacles that they must overcome first. If these challenges are not resolved quickly, they can result in project delays, rising expenses, failed deliveries, and in the worst cases, project cancellations. After identifying the essential metadata for your project, it is vital to utilize it for establishing various environments, which could involve data cataloging, governance systems, enterprise metadata management, data warehouses, ETL processes, or data modeling tools. The core aim behind the creation of Safyr® was to enable users to significantly enhance the value they gain from their initiatives that utilize data from major ERP and CRM systems, by offering effective and economical solutions to these hurdles. By optimizing the metadata discovery process, Safyr® allows organizations to concentrate more on achieving their primary goals, rather than being hindered by technical challenges. Ultimately, this enhancement in efficiency can lead to more successful project outcomes, fostering innovation and growth within the organization.
What is Leonovus Data Discovery Tool?
The Leonovus Data Discovery Tool conducts a thorough examination of Server Message Block's network-affiliated file storage, effectively categorizing all data present. This versatile tool can be utilized across various environments and is not tied to any specific vendor. By enabling users to visualize their file servers, it aids in identifying the types of files stored within them. The Data Discovery Tool equips you with crucial insights necessary for developing a file storage strategy that can effectively manage the challenges posed by rapid data growth, including the tiering of seldom accessed, or "cold," data. Furthermore, the Leonovus Smart Filer facilitates the seamless transition of this infrequently used data to more economical cloud or secondary storage solutions. In addition, the Data Discovery Tool constructs a data analytics framework for the file-based data service landscape, offering a comprehensive overview of the volume, age, activity level, and makeup of the data being served. Essentially, it provides a detailed profile of all data stored, which can significantly enhance data management practices. Consequently, this tool not only optimizes storage efficiency but also empowers organizations to make informed decisions regarding their data assets.
Integrations Supported
ASG Data Intelligence
AffiliateWP
Alation
Collibra
Data360 DQ+
IBM Cloud
IDERA Precise for Databases
Informatica Cloud Application Integration
Microsoft 365
Microsoft Dynamics 365 Business Central
Integrations Supported
ASG Data Intelligence
AffiliateWP
Alation
Collibra
Data360 DQ+
IBM Cloud
IDERA Precise for Databases
Informatica Cloud Application Integration
Microsoft 365
Microsoft Dynamics 365 Business Central
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
Silwood
Date Founded
1992
Company Location
United Kingdom
Company Website
www.silwoodtechnology.com/safyr/
Company Facts
Organization Name
Leonovus
Date Founded
2008
Company Location
Canada
Company Website
www.leonovus.com/products/data-discovery-tool
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Categories and Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics