The document discusses new features and enhancements in SAS analytics software. Key updates include new access engines and transformations in Data Integration Studio 4.3, metadata search improvements, enhanced SAS code importing, and new reporting features in Enterprise Guide 5.1 and the Microsoft Office add-in. Analytics software such as Enterprise Miner and Model Manager received new capabilities as well. SAS also introduced its new High-Performance Analytics product to handle large-scale data.
Talking Points (scroll down) Addressing these new challenges, and implementing this strategy, requires a new way of looking at your business. And that’s what the SAS Business Analytics Framework is all about. It’s a framework…not a platform. A platform implies something monolithic, expensive and difficult to implement…something that requires you to wait two or three years before you see results. With our Business Analytics Framework, you can choose the solutions and capabilities you need right now, and achieve results in months not years. Then you can add new functionality over time…all from one vendor, all through one framework. There are a number of components within the framework. Starting at the bottom there’s the data integration layer…then the analytics component…the reporting component…and on top solutions that will make a real difference to your business. Let’s dive a bit deeper…
Talking Points (scroll down) Data Integration. With so much data being generated…and so many mergers and consolidations happening across industries….capabilities such as master data management—and assuring data quality—are more important than ever. SAS has a strong vision in helping your organization bring together and make sense of data…a vision, as the IDC projections make clear, that has never been more important than it is right now. Only SAS has built, from the ground up, a comprehensive enterprise data integration environment with the ability to meet your full spectrum of data integration needs…from small tactical projects to enterprisewide strategic business initiatives.
Talking Points (scroll down) Reporting. Companies everywhere are recognizing the need to push decisions further down in the organization. This requires giving non-technical users access to the right data… the tools to analyze and transform data into meaningful information… and the ability to report on that information to draw and share conclusions. Many vendors have focused solely on reporting… including traditional Business Intelligence vendors such as Cognos and Business Objects… but that is just the presentation piece. With SAS, reporting is not a stand-alone activity… but part of a seamless approach for creating and sharing intelligence. Only SAS provides data integration, analytics and reporting as part of one seamless Business Analytics Framework. Decision makers can get answers to more sophisticated questions, format presentation-quality results, and easily share their findings. While other vendors provide multiple interfaces that all serve the same purpose, SAS provides one single Web-based interface for all types of reports. SAS does everything from simple Web-based reporting all the way up to complex desktop workbenches where you can perform sophisticated statistical analyses. We provide this range of reporting capabilities because—as data becomes more and more central to your organization—one size does not fit all.
Start from the column (this is a brand new, possibly “experimental” grid).
Communicator support for informal collaborationComments support for more formal collaborationBID???Improved gadget pane experience
The Task Gallery shows example screenshots of Task outputs.
SAS BI Dashboard 4.3 adds many new capabilities within an Adobe Flash-based dashboard building and viewing experience.
Talking Points (scroll down) Once you’ve brought your data together, you can apply analytics to solve problems specific to your business. Analytics is one of the most used and abused terms in the marketplace today. Everybody has it. Everybody’s doing it. Everybody’s selling it. Does everybody have analytics? Yes they do. But to what extent? What sort of business problems can you solve with the analytics you have available to you in support of decision making? Let’s look at analytics as a discovery process…
* Inside Teradata we are leveraging the Embedded Process architecture to run DS2 in a highly parallelized fashion. Embedded Process is not available for Greenplum/SPDS so an HPDS2 version has been created as a interim substitute but it is not as efficiently parallelized.