Today's big data mania reflects a harsh reality: companies have huge
amounts of data, but struggle to turn it into value. SAS, a leader in
data quality and data integration, is offering new technologies and
upgrades to its SAS®
Data Management family of software to help organizations meet this
big data challenge.
"With SAS Data Management, companies, government agencies and
universities can more easily consolidate and transform silos of raw big
data into integrated, quality information. This can help reduce
customer-response times, prevent fraud, streamline supply chains,
improve product quality, and achieve other business goals," said Jim
Davis, SAS Senior Vice President and CMO.
The new release helps customers address high-priority items first, with
one platform that provides modules for data access, data quality, event
stream processing, data integration and more. This modular approach
helps companies expand and adapt their use of SAS as their needs evolve.
"At Macys.com, the challenge is to gather data and turn it into insights
in a timely fashion, and to respond to any kind of consumer demand
changes or marketplace changes," said Kerem Tomak, Vice President of
Analytics at Macys.com. "We have been using SAS Data Management to pull
data from Hadoop to generate hundreds of thousands of models at the
product or SKU level. That tells us the probability of selling a product
at a particular time and location so we can optimize our assortment."
For more, read SAS
Data Management for Big Data, a free white paper on how SAS
elps customers derive big data value, including using Apache Hadoop
technologies with SAS.
Enhancements to SAS Data Management include new in-database data quality
capabilities, improved event-stream processing, and new access engines
to more easily use data from Hadoop and other sources.
New in-database data quality
This update introduces in-database data quality to the SAS Data
Management family. Cleansing data within the database requires less data
movement, which dramatically reduces the time needed to transform raw
data into usable information. Ultimately that means better, faster
The new SAS Data Quality Accelerator for Teradata is the only
in-database data-cleansing technology for the Teradata platform. By
executing data quality functions directly in the Teradata database,
companies can improve processing speeds, reduce IT workload, and most
importantly, provide high-quality data for a host of downstream business
"Quality data is fundamental for accurate business decisions, and the
new SAS Data Quality Accelerator for Teradata enables customers to
efficiently deal with data integrity issues. The solution quickly and
thoroughly transforms raw data into valid, dependable information that's
ready when organizations need it," said Rob Berman, Vice President of
Teradata Partnerships and Alliances. SAS and Teradata are longtime
Streaming data in real time
Event Stream Processing seamlessly brings streaming data - from
trading activities, transaction systems, smart grids and location-based
devices - into data management processes for high-volume, real-time
Now with an improved interface, SAS Event Stream Processing lets
companies access and analyze data as it happens instead of when it is
hours or even days old. Companies like electric utilities, which
continually collect high volumes of data on customer power use from
smart meters, can use real-time data to anticipate and react to sudden
spikes in demand. And financial services firms can use event-stream
processing to evaluate trades in real time and identify risky or
New data sources
Data comes not only in many sizes, but from many sources, including the
cloud, Hadoop clusters, streaming transactional data, on-premise
databases, mainframes, in-memory databases and more. Regardless of
format or source, SAS Data Management organizes and cleanses data to
create a consistent, valid data source for operational systems and
business intelligence and analytic applications.
With this upgrade, SAS makes it even easier to manage data from HP
Vertica, Hortonworks, and PostgreSQL. With data connectivity and
integration between SAS and these data sources, customers can edit,
move, cleanse and integrate data regardless of source, platform, size or
SAS is the leader in business
analytics software and services, and the largest independent vendor
in the business intelligence market. Through innovative solutions, SAS
helps customers at more than 65,000 sites improve performance and
deliver value by making better decisions faster. Since 1976 SAS has been
giving customers around the world THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are
registered trademarks or trademarks of SAS Institute Inc. in the USA and
other countries. ® indicates USA registration. Other brand and product
names are trademarks of their respective companies.
Copyright © 2013 SAS Institute Inc. All rights reserved.
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