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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 DistillerSR?

Streamline every aspect of your systematic literature review to generate evidence-based research with greater speed and precision. DistillerSR leverages automation for literature gathering, evaluation, and analysis through the use of artificial intelligence and smart workflows. This tool simplifies project management regardless of size, allowing for seamless organization. Furthermore, it can be customized to ensure that literature reviews are transparent, compliant, and ready for audit. DistillerSR works in conjunction with data sources like PubMed, offering automatic updates for reviews and utilizing AI to identify and eliminate duplicate entries, which enhances the efficiency of your search process. By automatically importing newly published references, it ensures that literature reviews remain up-to-date. The ability to detect and remove duplicate citations helps mitigate bias and inaccuracies from repeated studies. With DistillerSR, you can significantly decrease your screening workload by up to 60%, allowing you to advance to the subsequent stages of your review more swiftly and reliably. This not only accelerates the review process but also enhances the overall quality of the research.

Media

Media

Integrations Supported

Article Galaxy
PMC
SAS Data Loader for Hadoop
SAS MDM

Integrations Supported

Article Galaxy
PMC
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

$215 per user per month
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

DistillerSR Inc.

Date Founded

2008

Company Location

Canada

Company Website

www.distillersr.com

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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