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What is SAS Data Quality?

SAS Data Quality provides a solution that addresses your data quality issues right at their source, negating the necessity for data movement. This method allows for faster and more efficient operations while safeguarding sensitive data through role-based security protocols. It's important to recognize that maintaining data quality is an ongoing process rather than a one-time effort. Our solution guides you through every step of this journey, making it easier to profile data, detect problems, visualize information, and create repeatable practices to ensure high data integrity. With SAS, you benefit from an exceptional level of expertise in data quality, drawn from our vast experience in the industry. We recognize that assessing data quality often means examining data that may initially appear flawed to confirm its legitimacy. Our comprehensive tools include matching logic, profiling, and deduplication, which empower business users to adjust and enhance data on their own, thus relieving some of the burdens on IT teams. Furthermore, our ready-to-use features minimize the need for extensive coding, enhancing the accessibility of data quality management. In conclusion, SAS Data Quality equips you to effortlessly sustain high data quality standards while fostering a culture of continuous improvement. By leveraging our innovative solutions, organizations can realize better data-driven decisions and operational efficiencies.

What is Data Quality on Demand?

Data plays a vital role in multiple sectors of a business, such as sales, marketing, and finance. To fully leverage this data, it's important to maintain its integrity, protect it, and manage it effectively throughout its entire lifecycle. At Uniserv, we believe that data quality is a core principle of our identity and the services we offer. Our customized solutions convert your customer master data into a crucial asset for your business. The Data Quality Service Hub ensures that your customer data remains of the highest quality across all locations within your organization, including those overseas. We offer services that align your address information with international standards, utilizing the best reference data available. Furthermore, we validate email addresses, phone numbers, and banking information with meticulous attention to detail. If your data has duplicate entries, we can quickly pinpoint them according to your defined business requirements. Often, the identified duplicates can be merged automatically using predefined rules or categorized for manual assessment, which promotes an efficient data management workflow that boosts operational productivity. This thorough strategy for ensuring data quality not only aids in compliance but also builds trust and credibility in your customer relationships, ultimately leading to stronger business outcomes. An unwavering commitment to data quality fosters a culture of accountability within the organization, encouraging all departments to prioritize accurate data handling.

Media

Media

Integrations Supported

SAP Store
SAS Data Loader for Hadoop
SAS MDM

Integrations Supported

SAP Store
SAS Data Loader for Hadoop
SAS MDM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

SAS Institute

Date Founded

1976

Company Location

United States

Company Website

www.sas.com/en_us/software/data-quality.html

Company Facts

Organization Name

Uniserv

Date Founded

1969

Company Location

Germany

Company Website

www.uniserv.com/en/business-cases/customer-data-management/data-quality/

Categories and Features

Data Quality

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

Categories and Features

Data Quality

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

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