Analytics users anticipate more intuitive, highly visual SAS® predictive analytics

SAS® Visual Statistics offers powerful, interactive, in-memory software for predictive and exploratory data analysis

SAS is putting the finishing touches on its new, highly interactive, drag-and-drop environment for quickly building predictive models and presenting results through data visualization. Running on the revolutionary in-memory SAS architecture, the new software loads data once and retains it for repetitive analysis.

SAS® Visual Statistics, available in July, lets statisticians and data scientists employ the graphical interface popularized by SAS Visual Analytics to quickly analyze complex data of any size. Bolstering SAS Visual Statistics with SAS Visual Analytics helps users quickly discover relationships between variables to determine which will affect outcomes.

Multiple users can build and modify predictive models on large volumes of diverse data, using analytical methods including regression and estimation, classification and clustering.

“SAS’ innovative analytics will provide enterprises with faster, more accurate insights,” said Wayne Thompson, SAS Chief Data Scientist. “Applying advanced analytics methods to big data will help our customers increase their competitiveness.”

SAS Visual Statistics lays a foundation and path for customers to use more advanced analytics, such as model development, assessment and scoring. “Data scientists can quickly identify the predictive drivers among explanatory variables, and interactively discover outliers and data discrepancies with the click of a mouse,” said Thompson.

The speed of in-memory analytics also enhances productivity. Multiple users can instantly see the impact of changing model settings, such as adding new variables or removing outliers. They can easily and concurrently create models by specific variables, groups or segments to predict multiple outcomes.

SAS Visual Statistics is not just for big data. It is equally valuable for users in departmental deployments or midsize businesses. To meet varying customer needs, SAS Visual Statistics operates on several platforms, including database appliances from Pivotal and Teradata, Hadoop distributions from Cloudera and Hortonworks, or departmental servers.

To learn more about how to solve business problems quickly with insight from big data, please read “What Is SAS® In-Memory Analytics?

Today's announcement was made at SAS Global Forum, the world's largest gathering of SAS users, attended by more than 4,500 business and IT users of SAS software and solutions. Select sessions and keynotes from the user conference will be live streamed.

O společnosti SAS

Společnost SAS Institute je celosvětovým předním dodavatelem řešení a služeb pro Business Analytics, Business Intelligence a Big Data. Jedná se o největší soukromě vlastněnou softwarovou společnost na světě, její stabilita a síla jsou podloženy trvalým nárůstem výnosů od založení v roce 1976, tedy po dobu více než 35 let. Přes 20 % z obratu společnosti investuje SAS každoročně do výzkumu a vývoje produktů. Výsledkem jsou moderní a inovativní řešení, která pomáhají celosvětově více jak 70 000 společnostem zlepšit výkon a vytvářet větší hodnotu díky realizaci lepších a rychlejších rozhodnutí. SAS dává zákazníkům THE POWER TO KNOW®.

V České republice vstoupila společnost SAS na trh v roce 1999. SAS Institute se sídlem v Praze zaměstnává 50 lidí a pracuje pro více než 70 zákazníků, především z oblasti bankovnictví, pojišťovnictví, telekomunikací, služeb a veřejné správy. Mezi klienty patří například T-Mobile, Telefonica O2, Česká pojišťovna, Česká spořitelna, Komerční banka, Raiffeisenbank a řada dalších.

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