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What is SAS MDM?

Integrating master data management solutions with SAS 9.4 allows SAS MDM to function through a web-based interface that can be accessed via the SAS Data Management Console. This integration ensures that organizations have a unified and accurate view of their data by merging information from various sources into a single master record. Furthermore, the capabilities of SAS® Data Remediation and SAS® Task Manager complement SAS MDM and enhance other SAS offerings, such as SAS® Data Management and SAS® Data Quality. SAS Data Remediation empowers users to identify and resolve issues that arise from business rules in both batch processes and real-time scenarios within SAS MDM. On the other hand, SAS Task Manager acts as an effective tool that integrates effortlessly with SAS Workflow technologies, enabling users to oversee workflows triggered by different SAS applications with convenience. By facilitating the initiation, completion, and modification of workflows submitted to the SAS Workflow server, this unified ecosystem allows organizations to uphold effective data management strategies. Ultimately, the combination of these technologies establishes a strong foundation for the proficient management of master data, ensuring that organizational data remains accurate and reliable.

What is Goldright Agile Data Manager?

Goldright's Agile Data Manager is a powerful Master Data Management solution that reorganizes essential business data from various sources into a structured, validated, and easily accessible format, creating a single source of truth for the organization. This platform centralizes, cleans, and manages data across multiple domains through a flexible data model, consolidating all data versions into a trustworthy foundation that guarantees thorough data integrity. It carefully monitors data lineage throughout its lifecycle, with a timestamped history that allows for accurate point-in-time reporting, significantly reducing the need for manual data entry. User role-based governance enables centralized oversight of data ownership and compliance, while the embedded Business Process Engine (BPMN) enhances data workflows via automation. Additionally, an AI-driven assistant within the platform can engage with users in natural language, and customizable APIs ensure smooth bidirectional integration with ERP, CRM, and BI systems. By delivering clean and well-governed data, this platform provides a robust foundation for training AI models and facilitates the deployment of GenAI applications, ultimately boosting business intelligence and improving decision-making processes. This all-encompassing strategy not only optimizes operational workflows but also equips organizations to harness their data more effectively for future growth.

Media

Media

No images available

Integrations Supported

Hadoop
Microsoft 365
Microsoft Power BI
Microsoft Storage Spaces
SAS Analytics for IoT
SAS Anti-Money Laundering
SAS Business Intelligence
SAS Business Rules Manager
SAS Customer Intelligence
SAS Data Loader for Hadoop
SAS Data Management
SAS Data Quality
SAS Energy Forecasting
SAS Enterprise Miner
Shapelets

Integrations Supported

Goldright Enterprise Suite
Goldright Legal Entity Manager
Goldright Organizational Data Manager
Model Context Protocol (MCP)

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Online Training
On-Site Training

Company Facts

Organization Name

SAS

Date Founded

1976

Company Location

United States

Company Website

support.sas.com/en/software/mdm-support.html

Company Facts

Organization Name

Goldright GmbH

Company Location

Austria

Company Website

goldright.com/en/solutions/agile-data-manager

Categories and Features

Data Preparation

Not specified

Categories and Features

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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