Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Combine master data management solutions with those found in SAS 9.4, where SAS MDM operates as a web-based interface accessible via the SAS Data Management Console. This system delivers a cohesive and precise representation of organizational data by consolidating information from multiple sources into a singular master record. Additionally, SAS® Data Remediation and SAS® Task Manager synergistically enhance SAS MDM's capabilities, as well as those of other SAS products, including SAS® Data Management and SAS® Data Quality. Through SAS Data Remediation, users can address and rectify issues arising from business rules in both batch jobs and real-time processes within SAS MDM. Meanwhile, SAS Task Manager serves as a supportive tool that integrates seamlessly with SAS Workflow technologies, allowing users to manage workflows initiated by other SAS applications with ease. By enabling the initiation, cessation, and transition of workflows uploaded to the SAS Workflow server, this ecosystem empowers organizations to maintain efficient data management practices. Overall, the integration of these technologies creates a robust framework for handling master data effectively.
Description
Master data refers to the unchanging fundamental information or reference data that pertains to important business entities such as products, suppliers, customers, and employees. zetVisions SPoT acts as a smart data steward, enabling you to maintain a reliable database and assisting you in achieving your objectives more swiftly. The benefits of SPoT extend not only to the migration phase but also to the post-migration period, ensuring ongoing advantages. This system fosters seamless operation and superior data governance, allowing you to adapt more easily to internal company policies concerning data entry, approval, and maintenance. By implementing SPoT, you can sustain high data quality and enhance compliance with your organizational standards consistently. Additionally, this innovative solution empowers your team to focus more on strategic tasks rather than being bogged down by data management issues.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Hadoop
Yes
Impala
Yes
Microsoft 365
Yes
Microsoft Power BI
Yes
Microsoft Storage Spaces
Yes
SAP ERP
No
SAP HANA
No
SAS Analytics for IoT
Yes
SAS Anti-Money Laundering
Yes
SAS Business Intelligence
Yes
Integrations
Hadoop
No
Impala
No
Microsoft 365
No
Microsoft Power BI
No
Microsoft Storage Spaces
No
SAP ERP
Yes
SAP HANA
Yes
SAS Analytics for IoT
No
SAS Anti-Money Laundering
No
SAS Business Intelligence
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
SAS
Founded
1976
Country
United States
Website
support.sas.com/en/software/mdm-support.html
Vendor Details
Company Name
zetVisions
Founded
2001
Country
Germany
Website
www.zetvisions.de/software/stammdatenmanagement
Product Features
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No
Product Features
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
No
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
No