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ease
features
design
support

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Description

Enhance your ability to swiftly and efficiently adapt to changes by effectively managing your master data, whether it's during a cloud application migration, addressing the impacts of mergers and acquisitions, or harmonizing metadata discrepancies across various business functions and applications. You can import lists or hierarchies from different applications that contribute to your data ecosystem. By doing so, you can streamline processes and eliminate the need for data validation during entry, even when dealing with subpar data quality. Furthermore, you can elevate the overall quality of data within a specific application or business sector by validating distinct perspectives, referred to as viewpoints. Additionally, effortlessly migrate and map enterprise data elements along with ongoing modifications across diverse environments, including public, private, and hybrid clouds, whether they originate from Oracle or other third-party sources. With a user-friendly shopping cart interface, you can easily create new enterprise data or modify existing relationships and attributes, empowering you to manage your data landscape more effectively. This approach not only simplifies the data management process but also enhances collaboration across teams.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Axibase Enterprise Reporter (AER)
Azure Marketplace
FlashBlade//S
Rapid Insight
SAS Data Loader for Hadoop
SAS MDM
Truedat

Integrations

Axibase Enterprise Reporter (AER)
Azure Marketplace
FlashBlade//S
Rapid Insight
SAS Data Loader for Hadoop
SAS MDM
Truedat

Pricing Details

No price information available.
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

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/performance-management/enterprise-data-management/

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

www.sas.com/en/software/data-management.html

Product Features

Data Management

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

Master Data Management

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

Product Features

Data Management

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

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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