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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 DQ for Excel?

Elevate your customer data management in an accessible setting by effortlessly exporting it to Microsoft Excel and employing our convenient plugin available in the Office Store, which enhances data quality significantly. Our tool allows you to modify data by abbreviating, expanding, omitting, or normalizing it in five languages and across twelve distinct categories of entities. You can analyze the similarities between records using various comparison methods, including Levenshtein and Jaro-Winkler, while also generating phonetic match keys for deduplication, such as DQ Fonetix™, Soundex, and Metaphone. Furthermore, classify your data to identify the nature of each entry—for example, distinguishing Brian or Sven as individuals, while recognizing Road, Strasse, or Rue as parts of an address, and identifying Ltd or LLC as corporate legal designations. You have the capability to extract information like gender from names and sort contact details based on job titles and roles that involve decision-making. DQ for Excel™ integrates seamlessly with Microsoft Excel, ensuring that it is both user-friendly and efficient for managing data effectively. In addition, its robust functionalities guarantee that your customer data stays precise, pertinent, and well-organized. This comprehensive approach not only streamlines your workflow but also significantly enhances the overall quality of your data management practices.

Media

Media

Integrations Supported

Microsoft Excel
SAS Data Loader for Hadoop
SAS MDM

Integrations Supported

Microsoft Excel
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

DQ Global

Date Founded

1997

Company Location

United States

Company Website

www.dqglobal.com/products/dq-for-excel/

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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