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ease
features
design
support

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Description

Information flows in from various sources, increasing in both volume and intricacy. Within this information lies valuable knowledge and insights brimming with potential. This potential can only be fully harnessed when it influences every decision and action taken by the organization in real-time. As the landscape of business evolves, the data itself transforms, yielding fresh knowledge and insights. This establishes a continuous cycle of learning and adaptation. Sectors as diverse as finance, healthcare, telecommunications, manufacturing, transportation, and entertainment have acknowledged the opportunities this presents. The journey to capitalize on these opportunities is both formidable and exhilarating. Achieving success requires unprecedented levels of speed and agility in comprehending, managing, and processing vast quantities of ever-evolving data. For complex organizations to thrive, they need a high-performance data platform designed for automation and self-service, capable of flourishing amidst change and adjusting to new circumstances, while also addressing the most challenging data processing and management issues. In this rapidly evolving environment, organizations must commit to investing in innovative solutions that empower them to navigate the complexities of their data landscapes effectively.

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

DataHawk
FlashBlade//S
Impetus
Rapid Insight
SAS Data Loader for Hadoop
SAS MDM
Truedat

Integrations

DataHawk
FlashBlade//S
Impetus
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

Ab Initio

Founded

1995

Country

United States

Website

www.abinitio.com/en/

Vendor Details

Company Name

SAS Institute

Founded

1976

Country

United States

Website

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

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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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