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Description
Enable data for AI and analytics in a business-friendly manner through smart cataloging, supported by proactive metadata and policy governance. The IBM Watson® Knowledge Catalog serves as a powerful tool for discovering data, models, and more, enhancing the self-service exploration experience. Acting as a cloud-based repository for enterprise metadata, it facilitates the activation of information for AI, machine learning (ML), and deep learning applications. Users can access, curate, categorize, and share data and knowledge assets along with their interconnections, regardless of their location. By organizing, defining, and managing enterprise data effectively, organizations can ensure they have the appropriate context to generate value for various needs, including regulatory compliance and data monetization efforts. Furthermore, it safeguards data integrity, oversees compliance and audit readiness, and fosters client trust through active policy management and the dynamic masking of sensitive information. With user-friendly dashboards and workflows that can be easily shared with colleagues or integrated with analytical tools, businesses can consume and transform data efficiently to keep pace with their operational demands. By leveraging these capabilities, organizations can enhance their decision-making processes and drive innovation across their operations.
Description
Safyr® significantly minimizes the time, expenses, and resources associated with discovering ERP metadata, achieving an impressive reduction of up to 90%. Before effectively utilizing metadata from prominent ERP and CRM solutions like SAP, Salesforce, Oracle, and Microsoft, users face three key obstacles that must be surmounted. Failing to address these challenges swiftly can lead to delays, increased costs, failures in delivery, and in severe situations, the cancellation of projects altogether. Once the necessary metadata is pinpointed for your initiative, it becomes crucial to leverage it for setting up additional environments, which may include data cataloging, governance platforms, enterprise metadata management, data warehouses, ETL processes, or data modeling tools. The primary goal of developing Safyr® was to empower users to significantly accelerate the value they derive from their projects, which incorporate data from major ERP and CRM systems, by providing efficient and cost-effective solutions to these challenges. By streamlining the metadata discovery process, Safyr® ensures that organizations can focus more on their core objectives rather than getting bogged down by technical issues.
API Access
Has API
API Access
Has API
Integrations
IBM Cloud
AffiliateWP
Collibra
Data360 DQ+
IBM Cloud Pak for Applications
IBM Cloud Pak for Integration
IBM InfoSphere Information Governance Catalog
Informatica Cloud Application Integration
Microsoft Dynamics 365
Microsoft Dynamics 365 Business Central
Integrations
IBM Cloud
AffiliateWP
Collibra
Data360 DQ+
IBM Cloud Pak for Applications
IBM Cloud Pak for Integration
IBM InfoSphere Information Governance Catalog
Informatica Cloud Application Integration
Microsoft Dynamics 365
Microsoft Dynamics 365 Business Central
Pricing Details
$300 per instance
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/watson-knowledge-catalog
Vendor Details
Company Name
Silwood
Founded
1992
Country
United Kingdom
Website
www.silwoodtechnology.com/safyr/
Product Features
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics