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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 Mage Sensitive Data Discovery?

The Mage Sensitive Data Discovery module is designed to reveal concealed data locations within your organization. It enables the detection of hidden information across various data stores, including structured, unstructured, and Big Data environments. Utilizing Natural Language Processing and Artificial Intelligence, this tool is capable of locating data in even the most challenging scenarios. Its patented discovery method guarantees effective identification of sensitive data while keeping false positives to a minimum. You can enhance your data classifications with over 70 existing categories that encompass all widely recognized PII and PHI data types. Furthermore, the module streamlines the discovery process, allowing you to schedule sample scans, complete scans, and incremental scans at your convenience. This versatility ensures that your organization can maintain robust data security measures while efficiently managing data discovery tasks.

Media

Media

Integrations Supported

Microsoft Dynamics 365
Oracle Cloud Infrastructure
Salesforce
ASG Data Intelligence
AffiliateWP
Alation
Amazon S3
Apache Spark
Collibra
Google Cloud BigQuery
Google Cloud Build
Hadoop
JD Edwards EnterpriseOne
Microsoft Dynamics 365 Finance
MongoDB
Oracle PeopleSoft
Oracle Siebel CRM
ServiceNow
Solidatus
Zoho CRM

Integrations Supported

Microsoft Dynamics 365
Oracle Cloud Infrastructure
Salesforce
ASG Data Intelligence
AffiliateWP
Alation
Amazon S3
Apache Spark
Collibra
Google Cloud BigQuery
Google Cloud Build
Hadoop
JD Edwards EnterpriseOne
Microsoft Dynamics 365 Finance
MongoDB
Oracle PeopleSoft
Oracle Siebel CRM
ServiceNow
Solidatus
Zoho CRM

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

Mage Data

Date Founded

2014

Company Location

United States

Company Website

magedata.ai/sensitive-data-discovery-catalog/

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

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