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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 Protecto?

The rapid growth of enterprise data, often dispersed across various systems, has made the management of privacy, data security, and governance increasingly challenging. Organizations face considerable threats, such as data breaches, lawsuits related to privacy violations, and hefty fines. Identifying data privacy vulnerabilities within a company can take several months and typically requires the collaboration of a dedicated team of data engineers. The urgency created by data breaches and stringent privacy regulations compels businesses to gain a deeper insight into data access and usage. The complexity of enterprise data exacerbates these challenges, and even with extensive efforts to pinpoint privacy risks, teams may struggle to find effective solutions to mitigate them in a timely manner. As the landscape of data governance evolves, the need for innovative approaches becomes paramount.

Media

Media

Integrations Supported

Salesforce
Alation
Amazon Redshift
Amazon S3
Data360 DQ+
Databricks
Google Cloud BigQuery
IBM Cloud
Informatica Cloud Application Integration
JD Edwards EnterpriseOne
Microsoft 365
Microsoft Dynamics 365
Microsoft Dynamics 365 Finance
Oracle Cloud Infrastructure
Oracle Siebel CRM
Rocket Data Intelligence
SAP Data Services
SAP ERP
Solidatus
erwin Data Catalog

Integrations Supported

Salesforce
Alation
Amazon Redshift
Amazon S3
Data360 DQ+
Databricks
Google Cloud BigQuery
IBM Cloud
Informatica Cloud Application Integration
JD Edwards EnterpriseOne
Microsoft 365
Microsoft Dynamics 365
Microsoft Dynamics 365 Finance
Oracle Cloud Infrastructure
Oracle Siebel CRM
Rocket Data Intelligence
SAP Data Services
SAP ERP
Solidatus
erwin Data Catalog

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Usage based
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

Protecto

Date Founded

2021

Company Location

United States

Company Website

www.protecto.ai/

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

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

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