Technology update

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SAS Business Analytics 2011 - Technology Update

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  • 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.
  • Technology update

    1. 1. Technology UpdateDeepak RamanathanAsia Pacific - Technology Copyright © 2011, SAS Institute Inc. All rights reserved.
    2. 2. 2Copyright © 2011, SAS Institute Inc. All rights reserved.
    3. 3. Technology Update? 3 Copyright © 2011, SAS Institute Inc. All rights reserved.
    4. 4. 4Copyright © 2011, SAS Institute Inc. All rights reserved.
    5. 5. 5Copyright © 2011, SAS Institute Inc. All rights reserved.
    6. 6. Data Integration Studio 4.3 6 Copyright © 2011, SAS Institute Inc. All rights reserved.
    7. 7. What’s New in DI Studio 4.3? New and Enhanced Access Engines  Greenplum, Sybase IQ, Aster Data 7 Copyright © 2011, SAS Institute Inc. All rights reserved.
    8. 8. What’s New in DI Studio 4.3? New Transformations • SQL Union • Easy import of UDFs into expressions • Optimized Oracle Bulk Loader • Additional DBMS Expression Builder functions 8 Copyright © 2011, SAS Institute Inc. All rights reserved.
    9. 9. Metadata Search 9 Copyright © 2011, SAS Institute Inc. All rights reserved.
    10. 10. Metadata Search 10 Copyright © 2011, SAS Institute Inc. All rights reserved.
    11. 11. SAS Code Importer Support optional Macro expansion New “Analyze” only feature  Detailed summary information Collision detection with warnings  Ex: Library already exists but different path Better logging and error checking Work tables can be registered as physical tables Many more fixes and user requested enhancements 11 Copyright © 2011, SAS Institute Inc. All rights reserved.
    12. 12. SAS Code Importer Enhancements 12 Copyright © 2011, SAS Institute Inc. All rights reserved.
    13. 13. 13Copyright © 2011, SAS Institute Inc. All rights reserved.
    14. 14. And much more! 14 Copyright © 2011, SAS Institute Inc. All rights reserved.
    15. 15. 15Copyright © 2011, SAS Institute Inc. All rights reserved.
    16. 16. What’s New in Reporting Enterprise Guide 5.1 Add in for Microsoft Office 5.1 Roambi for SAS SAS VAE 16 Copyright © 2011, SAS Institute Inc. All rights reserved.
    17. 17. Enterprise Guide – 5.1 17 Copyright © 2011, SAS Institute Inc. All rights reserved.
    18. 18. EG 5.1 18 Copyright © 2011, SAS Institute Inc. All rights reserved.
    19. 19. Add-In for MS Office 5.1 - OutlookIntegration 19 Copyright © 2011, SAS Institute Inc. All rights reserved.
    20. 20. Add-In for MS Office 5.1 - Task Gallery 20 Copyright © 2011, SAS Institute Inc. All rights reserved.
    21. 21. 21Copyright © 2010, SAS Institute Inc. All rights reserved.
    22. 22. 22Copyright © 2011, SAS Institute Inc. All rights reserved.
    23. 23. BI Dashboard 4.3 23 Copyright © 2011, SAS Institute Inc. All rights reserved.
    24. 24. 24Copyright © 2011, SAS Institute Inc. All rights reserved.
    25. 25. SAS Analytics – What’s New Enterprise Miner Model Manager SAS/STAT SAS/ETS SAS/OR 25 Copyright © 2011, SAS Institute Inc. All rights reserved.
    26. 26. SAS ® Enterprise Miner 7.1  Data Mining  Release Objectives  Application tools  In-database processing  Key Features  Survival data mining for time dependent outcomes  High performance rate making (claims, severity, and pure premium)  Support for logistic regression models in LAR/LASSO node  Optimal binning with constraints for credit score carding  In-database expansions for statistical transformations and modeling  Time series data mining tools (Experimental) 26These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
    27. 27. SAS ® Model Manager 3.1  Data Mining  Release Objectives  Deeper support for existing models  Broader support for additional model types  Key Features  Workflow to replace lifecycle templates and enable automated and collaborative model import, comparison, validation, scoring, monitoring and retraining  Model retraining in MM  New report types  Model management for additional types of models including R models 27These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
    28. 28. SAS/STAT ® 9.3  Statistics  Key Features  New FMM procedure (experimental) for finite mixture modeling  Shared frailty models in PHREG  Expanded capabilities for Bayesian analysis including the addition of a RANDOM statement and multivariate priors in MCMC  Production SURVEYPHREG procedure  New model diagnostics in NLIN  GRAPH license no longer required for ODS Graphics 28These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
    29. 29. SAS/ETS ® 9.3  Forecasting and Econometrics  Key Features  New procedure for fitting copula distributions  New procedure for statespace modeling  Automatic variable selection for COUNTREG procedure  Update data engines to support latest releases  Additional / improved ODS Graphics plots 29These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
    30. 30. SAS/OR ® 9.3  Operations Research  Key Features - Optimization  New network simplex linear programming algorithm  Crossover feature for interior-point linear programming solver (experimental)  Improvements to nonlinear solvers and introduction of a multi-start method for nonlinear programming  Performance improvements for mixed integer programming solver  Key Features - Simulation  Using data to drive models – empirical distributions, nonhomogeneous Poisson processes  Improved usability to simplify navigation of large models  Support for Windows 64 and remote SAS servers  Automatic input distribution fitting using JMP for Simulation Studio 30These materials are proprietary to SAS® and constitute SAS confidential information pursuant to the terms of the confidentiality or nondisclosure agreement in place between you and SAS® Copyright © 2011, SAS Institute Inc. All rights reserved.
    31. 31. Introducing SAS High-Performance Analytics SAS High Performance Analytics has been developed to solve complex business problems that require sophisticated high-end analytics and access to big data Statistical techniques addressed by the product include: Correlation analysis, Linear regression and variable selection with classical and modern methods, Logistic regression, Neural nets, Linear mixed models, Nonlinear regression and maximum likelihood, Optimization 31 Copyright © 2011, SAS Institute Inc. All rights reserved.
    32. 32. SAS High-Performance Analytics: Topology(DRAFT) Base SAS1 Client Tier SAS/STAT1 SAS High Performance Analytics1 SAS/Access Interface for Teradata or Greenplum1 SAS Grid Manager2 Appliance SAS In-Memory Analytics SAS Embedded Process Database Storage Teradata or EMC Greenplum 1 Dependent products, 2 Optional products 32 Copyright © 2011, SAS Institute Inc. All rights reserved.
    33. 33. SAS High-Performance Analytics: Capabilities Data Preparation Data Exploration Analytics• (HP)DS2* • SUMMARY/MEANS • HPLOGISTIC• SORT • FREQ • HPREG • RANK • HPLMIXED • HPFOREST • HPNEURAL • HPREDUCE • HPNLIN 33 Copyright © 2011, SAS Institute Inc. All rights reserved.
    34. 34. SAS High-Performance Analytics:Architecture Submit a program from a SAS client session (eg. HPLOGISTIC) proc hplogistic data=GPlib.sgf_binary; class A B C; model y = a b c x1 x2 x3; performance details host="green1"; run; 34 Copyright © 2011, SAS Institute Inc. All rights reserved.
    35. 35. SAS High-Performance Analytics:Architecture Master Request is sent to the appliance and received by the Master Node Worker Node 1 Worker Node 2 Worker Node N 35 Copyright © 2011, SAS Institute Inc. All rights reserved.
    36. 36. SAS High-Performance Analytics:Architecture Master Worker Node 1 Worker Node 2 Worker Node N Analytical Computation and data request sent to the worker nodes 36 Copyright © 2011, SAS Institute Inc. All rights reserved.
    37. 37. SAS High-Performance Analytics:Architecture Master Worker Node 1 Worker Node 2 Worker Node N Data request sent to the database, data slice moved into memory 37 Copyright © 2011, SAS Institute Inc. All rights reserved.
    38. 38. SAS High-Performance Analytics:Architecture Master Worker Node 1 Worker Node 2 Worker Node N Analytic Processing with internode communication 38 Copyright © 2011, SAS Institute Inc. All rights reserved.
    39. 39. SAS High-Performance Analytics:Architecture Master Worker Node 1 Worker Node 2 Worker Node N Worker node results returned to the Master Node, finalize computation 39 Copyright © 2011, SAS Institute Inc. All rights reserved.
    40. 40. SAS High-Performance Analytics:Architecture Root Node Worker Node 1 Worker Node 2 Worker Node N Result returned to the client 40 Copyright © 2011, SAS Institute Inc. All rights reserved.
    41. 41. Much More Being Introduced 41 Copyright © 2011, SAS Institute Inc. All rights reserved.
    42. 42. Call to Action to SAS Jedi Warriors Speak to your SAS Representative on Technology Updates Join the SAS Singapore User Community SASCommunity.org May the Proc be with you! 42 Copyright © 2011, SAS Institute Inc. All rights reserved.
    43. 43. Copyright © 2011, SAS Institute Inc. All rights reserved.

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