Whether it’s in stream, in database or in memory, SAS® Data Quality supports traditional and emerging data sources, including Hadoop, Impala and other big data initiatives ~Matthew Magne, Global Product Marketing Manager for Data Management at SAS.
Cary, NC (PRWEB) January 05, 2016
SAS is a Leader in The Forrester Wave™: Data Quality Solutions, Q4 2015 from Forrester Research Inc. The report outlines each vendor across a 30-criteria evaluation of data quality to help enterprise architecture (EA) professionals select the right partner for their needs. The report notes that “SAS provides an easy-to-use and intuitive environment to improve the quality of data by both data stewards and developers.”
According to the report, “The data quality solutions market is growing because more enterprise architecture professionals see data quality as a way to address their top challenges. In large part, this market growth is due to the fact that EA pros increasingly trust data quality solution providers to act as strategic partners that advise them on top data management and business decisions.”
“SAS’ unique ability to profile, standardize and enrich data where it lives – without moving it – means more speed, more security and more efficiency,” said Matthew Magne, Global Product Marketing Manager for Data Management at SAS. “Whether it’s in stream, in database or in memory, SAS® Data Quality supports traditional and emerging data sources, including Hadoop, Impala and other big data initiatives.”
The report’s authors note, “Without an accurate view of the customer, businesses are unable to tailor relevant offers, resolve customer support issues quickly and effectively, and optimize customers’ experiences throughout the customer life cycle. As customers are increasingly independent and informed about their product and service choices, organizations that are unable to recognize their customers, understand their needs and intents, and serve them beyond their shopping cart purchases will become irrelevant to customers and the market overall.”
SAS Data Quality provides trusted data both at the point of interaction and as part of existing batch processes. That helps organizations make better decisions and align information stewards with IT resources to remediate any data problems. SAS Data Loader for Hadoop provides self-service big data preparation for business users and data scientists. With data constantly flowing in and out of businesses, SAS establishes repeatable processes across the entire data quality life cycle to build and maintain high-quality data.
Learn more about SAS Data Management, SAS Data Governance and SAS Data Quality.