Developers: | SAS Institute Inc. (SAS Institute) |
Last Release Date: | April, 2012 |
Technology: | BI |
The SAS Russia/CIS company, developer and solution provider and services in the area of a business intelligence, announced an output to the market of a complete line of analytical tools of new generation — SAS High-Performance Analytics. They allow to solve business challenges essentially of other level of complexity, giving the chance to process and analyze large volumes of data with bigger accuracy tens times quicker, says the company.
As note in SAS Russia/CIS, still profound analysis of Big Data was or is too expensive, or is very difficult and took weeks and months, but emergence of a new class of analytical tools made this task possible and available to a number of the enterprises which pay a close attention to use of analytics for adoption of the operational and weighed solutions.
- SAS GridComputing — is intended for management of distributed computing in the environment of SAS during the work both on one server, and on a large number of servers. It is a certain analog of "cloud" technologies, explained in the company.
- The second technology developed about a year ago is realized in products of the class in database: in this case the distributed processing is reached by transfer of calculations in the data warehouse, i.e. from the analytical server of SAS — on the server of the external database. According to SAS, this method is applicable for different functionality, but gives a significant gain in a situation when analytical models are developed on tools of SAS, and the corporate data warehouse is implemented on DBMS of other vendor. As new data appear in storage, application of analytical models optimal to execute, without taking data of large volume from storage.
- Products of the SAS ScoringAccelerator series translate analytical models into language of partner DBMS and transfer them in these DBMS for procedural application. For example, at first specialists of bank means of profound analytics reveal the factors determining credit non-return probability, and then in the data warehouse regular revaluation of level of credit trust on all clients of bank is carried out.
The product SAS High-Performance Analytics allows algorithms of the main existing directions of analytics to be executed on tens and hundreds of millions of records with maximum capacity. If on the analysis of patterns earlier and creation of analytical models hours or even days were required, then now these transactions take place in seconds and minutes. For example, banks, developing decision making models about issuance of credits on the basis of regression analysis, can really receive acceleration by 100 times.
- SAS Visual Analytics combines high-performance means of the analysis and the graphical interface of data visualization. It allows business users and analysts to analyze independently large volumes of data and to receive reports, exact, evident and convenient for interpretation. These reports can be published in the Internet, and thanks to applications for mobile devices with them it is possible to work, for example, on iPad. It means that at meetings, in business trips or at remote work at managers, marketing specialists, researchers and other users who need analytical data and outputs access to the necessary information remains.
According to SAS, on the basis of in-memory technology the company already creates a number of application solutions, in particular: SAS High-Performance Risks — for high-performance calculation of risk level of a portfolio in the capital markets; SAS High-Performance Markdown Optimization — for calculation of optimal cost and discounts for retail; SAS High-Performance Marketing Optimization — for determination of the optimal offer to each client.