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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 SAP Data Intelligence?

Harness the potential of data by transforming chaotic information into valuable insights through advanced data intelligence. By interlinking, discovering, enhancing, and orchestrating disparate data resources, organizations can generate actionable insights that propel business success at an enterprise level. SAP Data Intelligence acts as a comprehensive solution for managing data. As the orchestration layer of SAP’s Business Technology Platform, it turns fragmented data landscapes into vital insights that encourage innovation on a grand scale. By providing users with intelligent, relevant, and contextual insights, seamless integration throughout the IT ecosystem is achieved. Efficiently managing and orchestrating extensive volumes of data and streams is essential for improving operational efficiency. Furthermore, it is important to optimize processes, implement machine learning-driven innovations, and create strong governance frameworks to address compliance risks through robust metadata management strategies. As the data landscape continues to evolve, prioritizing actionable insights will be essential for fostering sustained growth within enterprises, ensuring they remain competitive and responsive to market changes. The ability to adapt and innovate in response to data will be pivotal for future success.

Media

Media

Integrations Supported

IBM Cloud
Microsoft 365
Oracle Cloud Infrastructure
Alibaba Cloud
Amazon Web Services (AWS)
Data360 DQ+
HPE Consumption Analytics
Hitachi Content Intelligence
IDERA Precise for Databases
JD Edwards EnterpriseOne
Lenovo ThinkAgile HX Series
NEC EXPRESSCLUSTER
NVIDIA DRIVE
SAP ERP
SAP Joule
SAP Store
erwin Data Catalog

Integrations Supported

IBM Cloud
Microsoft 365
Oracle Cloud Infrastructure
Alibaba Cloud
Amazon Web Services (AWS)
Data360 DQ+
HPE Consumption Analytics
Hitachi Content Intelligence
IDERA Precise for Databases
JD Edwards EnterpriseOne
Lenovo ThinkAgile HX Series
NEC EXPRESSCLUSTER
NVIDIA DRIVE
SAP ERP
SAP Joule
SAP Store
erwin Data Catalog

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1.22 per month
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

SAP

Date Founded

1972

Company Location

Germany

Company Website

www.sap.com/products/data-intelligence.html

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 Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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