Data Quality

No one wants inaccurate information. This is especially true for decision makers who depend on good data as the basis for solid decision making. In addition, with the increase in regulatory oversight, maintaining high-quality data that complies with internal and external regulatory compliance requirements is essential.

SAS Data Quality enables you to improve the accuracy and timeliness of information your organization receives. By integrating data quality within data integration and business analytic projects, organizations can transform and combine disparate data, remove inaccuracies, standardize on common values and cleanse data to create a strategic, trustworthy and valuable asset that enhances decision-making power.

Components of Data Quality

• SAS Data Quality Solution – Profile, cleanse, augment and integrate data for enterprise-scale projects and for use with SAS Analytics to create new insights that help solve complex business problems.
• DataFlux® Data Management Platform – Analyze, standardize and improve corporate data with this single solution for data management initiatives provides the key for true business and IT collaboration by analyzing, standardizing and improving corporate data.

How SAS^® Is Different

• Flexible architecture and delivery options. SAS and DataFlux, a recognized leader in data quality, provide flexible solutions that can support the needs of any organization from individual data quality projects to enterprise-scale data management and governance initiatives.
• Industry-leading data profiling capabilities. SAS and DataFlux offer an industry-leading approach to data discovery and profiling, making it simple for business users to generate comprehensive data profiling reports. These reports help uncover existing and potential problems related to data quality issues.
• Enables you to maintain compliance with internal best practices or regulatory imperatives. SAS and DataFlux data monitoring technologies allow you to maintain vigilance over your data. You can easily align data against regulatory requirements or create specialized business rules to oversee compliance needs.