Ensuring information excellence through data quality lifecycle management

SAS Data Quality Solution provides an enterprise solution for profiling, cleansing, augmenting and integrating data to create consistent, reliable information. With SAS Data Quality Solution you can automatically incorporate data quality into data integration and business intelligence projects to dramatically improve returns on your organization’s strategic initiatives.

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Benefits

• Improve key data areas through data quality profiling. Profiling capabilities allow you to determine where potential problems exist and what efforts will be required to rectify them. You can then focus on root cause analysis, improving key data areas and processes for better planning and project execution.
• Achieve a unified, accurate view of data. With SAS Data Quality Solution, organizations can incorporate data quality business rules across data sources and platforms. By implementing standard and custom processes, data from different systems can be regulated and standardized into a unified, accurate view.
• Support changing business needs through customization. Specialized interfaces make it easy to create and change data quality rules according to business needs, as well as visualize the impact of those rules. State-of-the-art tools enable thorough execution of the data quality processes that you define.
• Provide decision makers with trustworthy information. Accurate, consistent, valid and reliable data delivers consistent reporting and analytic results. By automatically integrating data quality into data integration processes, you ensure that data used for business intelligence and analytics will be current and accurate.

Features

Data profiling capabilities

• Analyzes enterprise data to determine nuances, discrepancies and inaccuracies in data.
• Provides an easy-to-use interface to determine areas of poor data quality and the amount of effort required to rectify them.

Cleansing and standardization

• Provides the ability to eliminate or reduce inconsistencies in corporate data.
• Provides easy-to-use tools to analyze and prototype data quality cleansing processes and correct data accordingly.

 

Matching and deduplication

• Consolidates data from multiple data sources when a complete match is not possible.
• Creates unique key values by using fuzzy logic to group together information with similar values across one or multiple fields

 

Identification analysis

• Determines the gender of an individual for targeted marketing purposes.
• Determines whether a value is a person or an organization.

 

Data quality rule customization

• Personalize parsing, matching and standardization algorithms.
• Create or enhance the rules used to parse the parts of the names, addresses, e-mail addresses, product codes and other business data.
• Add rules to matching algorithms about which part of a data string weighs the heaviest in a match.
• A common Quality Knowledge Base (QKB) lets you share this information between SAS products (server) and DataFlux^® products (clients).

International support

• Understands the nuances in various languages, including names, addresses, organizations and other areas where data parsing is required.
• Employs local knowledge of these data types.

A component of SAS Data Integration

• By integrating with SAS capabilities, SAS Data Quality Solution can be part of an overall data integration strategy.
• Data quality can be applied to all SAS supported data sources and platforms, which ensures enterprise scalability.
• Provides an interactive approach to data quality that eliminates duplication of effort when creating business rules.