SAS Data Management Description

Regardless of the location of your data—whether in cloud environments, traditional systems, or data lakes such as Hadoop—SAS Data Management provides the tools necessary to access the information you require. You can establish data management protocols once and apply them repeatedly, allowing for a consistent and efficient approach to enhancing and unifying data without incurring extra expenses. IT professionals often find themselves managing responsibilities beyond their typical scope, but SAS Data Management empowers your business users to make data updates, adjust workflows, and conduct their own analyses, thereby allowing you to concentrate on other initiatives. Moreover, the inclusion of a comprehensive business glossary along with SAS and third-party metadata management and lineage visualization features ensures that all team members remain aligned. The integrated nature of SAS Data Management technology means you won't have to deal with a disjointed solution; rather, all components, ranging from data quality to data federation, operate within a unified architecture, providing seamless functionality. This cohesive system fosters collaboration and enhances overall productivity across your organization.

Integrations

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Company Details

Company:
SAS Institute
Year Founded:
1976
Headquarters:
United States
Website:
www.sas.com/en/software/data-management.html

Media

SAS Data Management Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support

SAS Data Management Features and Options

Master Data Management Software

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

Data Management Software

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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