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SUNZ Annual Conference 2007 A Big Thank You, to Our Sponsors

Sunz Keynote Bi Futures 20071128

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Page 1: Sunz Keynote Bi Futures 20071128

SUNZ Annual Conference 2007

A Big Thank You, to Our Sponsors

Page 2: Sunz Keynote Bi Futures 20071128

Copyright © 2006, SAS Institute Inc. All rights reserved.

“BI” of the Future

SAS Enterprise Intelligence Platform: What’s new and what’s the next wave

Keith Collins, Senior VP & Chief Technology Officer, SASpresented by Bill GibsonChief Technology Officer SAS Asia Pacific

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Copyright © 2006, SAS Institute Inc. All rights reserved.

Top Ten Technology Issues – by Drivers Business Drivers

• BPM/BAM• Unstructured Data and Content Management• Operational Analytics• Regulatory Compliance / Security / Privacy• Geospatial Data Analysis

Technology Drivers• SOA, Web Services and Composite Applications• Software as a service• Advanced Data Visualization• RFID Analysis

Disruptive Technologies or Business Models • Enterprise Search

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Copyright © 2006, SAS Institute Inc. All rights reserved.

BI Models – Current & Emerging

Classic BI

Classic BI with Data Quality

BI with Feedback Loops

Real Time BI

Business Activity Monitoring

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Copyright © 2006, SAS Institute Inc. All rights reserved.

Traditional idea of extracting data, building a DWH, running some analytics and producing a report...

Consumers are humans

Useful for monitoring processes

Provides consistency and management

Legend

Data Flows managed by 3rd parties (----------) Data Flows with SAS ETL (solid red) Analytical Data Flows (solid black)Results Flows

Classic BI Architecture

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Copyright © 2006, SAS Institute Inc. All rights reserved.

SAS Visual BI and BI Dashboard

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Data Quality added

Various Possibilities in Combination

Real Time DQ in Operational Applications

DQ added in Flows to EDW or to Marts

One Set of Rules

Legend

Data Flows managed by 3rd parties (----------) Data Flows with SAS ETL (solid red) Analytical Data Flows (solid black)Results Flows

Classic BI Architecturewith Data Quality

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Copyright © 2006, SAS Institute Inc. All rights reserved.

Results fed back into Operational Systems

Integration at the Data level

Useful for Cyclical Applications eg Planning

Results of Forecasts, Cost Models or Optimisations

Users see same workflow but with better recommendations

Legend

Data Flows managed by 3rd parties (----------) Data Flows with SAS ETL (solid red) Analytical Data Flows (solid black)

Results Flows

BI Architecture with Operational Feedback

Page 9: Sunz Keynote Bi Futures 20071128

Copyright © 2006, SAS Institute Inc. All rights reserved.

Integration at a Service Level between Operational Application and Model

Real Time Scoring or Decisioning

Must Satisfy Throughput Requirements

Useful when Score on Demand is required

May need to “marshall” data from operational system

Legend

Data Flows managed by 3rd parties (----------) Data Flows with SAS ETL (solid red) Analytical Data Flows (solid black)Results Flows Service Calls

Real Time BI ArchitectureBAM: Business Activity Monitoring

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Copyright © 2006, SAS Institute Inc. All rights reserved.

SAS Enterprise Intelligence Platform: What’s new and what’s the next wave

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Copyright © 2006, SAS Institute Inc. All rights reserved.

SAS 9.2 Logistics (SUNZ 2006)

Coming….. 2007 Q3

Migration• High priority for R&D

• Mandate from Jim Goodnight

• Details later

You should be on current maintenance• 9.1.3 SP4

• Current hot fixes

• Current DI & BI releases, EG 4.1

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Copyright © 2006, SAS Institute Inc. All rights reserved.

SAS Technologies RoadmapComing Soon

Today

Already Production!

6 Months Ago

What’s New Recently With SAS 9.1.3

December

ComingSoon - 9.1.3

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Copyright © 2006, SAS Institute Inc. All rights reserved.

Scalability improvements (operation time now largely independent of project size) for unit level operations:

• Add, edit, copy, and delete models

• Make series active / inactive

• Recreate automatically-generated models, refit all models, and select a forecast model for a series

• Refresh the current forecast model, updating the parameter values for a series; refit the current forecast

Performance improvements for project level operations• Creating, opening and closing large and very large projects

• Filtering and scrolling through large and very large projects

• Fitting models for large and very large projects

Key Benefits of Forecast Server 2.1

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EM project conversion utility

Addition of new data mining algorithms for predictive modeling, variable reduction, and market basket analysis

Additional tools for analytical data pre-processing• Interactive binning, append, transpose

Enhanced interactive data visualization including new graph types and persistence of interactive graphs created by the user

Reporter node for surfacing EM results via PDF and RTF ODS output

Key Benefits of Enterprise Miner 5.3

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Key Benefits of Enterprise Miner 5.3 User Interface Updates – Updated PFD

Node status indicators

Improved icons along with zoom controls

Data library

Page 16: Sunz Keynote Bi Futures 20071128

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SAS Technologies RoadmapSAS 9.2 – The Future

Today Future

Already Production! Still Under Development!

6 Months Ago December

ComingSoon - 9.1.3

What’s New Recently With SAS 9.1.3 What Will 9.2 Bring

Already Production!

SAS 9.2• Phase 1 (End of Q1/Early Q2 2008) : “Classic” SAS

• Phase 2 (End of Q2/Early Q3 2008) : Technology Solutions Selected

Solutions

• Phase 3 (Ongoing after phase 2) : Analytic Solutions Rest of SAS

Solutions

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New Application Server Support (BI)

Updated Browser Support (BI)

New Operating Environments

Environment Updates

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Deployment, Installation and Configuration

Electronic Software Delivery

SAS Deployment Wizard

Increased support for silent (and repeatable) installs

Pre-requisite handling of specified 3rd party products

Optional “phone home” support

Expanded system requirements support

Simplified documentation install center

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SAS 9.2 ODS Enhancements

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ODS Graphics From Start to Finish

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Survival Plot with LIFETEST

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Bivariate Density Plot with KDE

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Basics of ODS Graphics

Invoke with

ODS GRAPHICS ON;

Procedure options determine “which plot I get”

Destination determines “where I see my plots”

Style determines “what all my plots look like”

Template determines “what a specific plot looks like”

Page 24: Sunz Keynote Bi Futures 20071128

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SAS 9.2: Stat Studio

The power of SAS analytical modeling tools

Exploratory graphics and modeling capabilities

Extensibility of SAS/IML

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Management & Administration

Major focus for 9.2 and beyond• Audit

• Monitor + Manage

• Deployment

• Environment Migration (Promotion)

9.2: Common logging system across the platform• Log4SAS (based upon Log4J Java standard)

Common Prompting Framework

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Security EnhancementsSingle Sign On

Single Sign-On (Windows Only – No Prompting)

Will be implemented for all SAS platform windows based clients and Web Clients

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Enhanced Web Service Support

Easier to call a SAS Web Service from anywhere

• More fine grained WSDL used to define SAS web services

• Simpler use from standard tools and environments (Visual Studio, Sharepoint, Eclipse)

Easier to call a web service from SAS - XML Libname engine updated to support WSDL and SOAP.

Web Service invoked by issuing the Libname statement with the native WSDL type.

fileref foo "http://www.sas.com/webservice/test.wsdl";

Libname foo XML type=WSDL ;

To do a discover of the methods- returns the methods, input and output parameters, and the description

Proc contents data= foo._all_;

Returns the results from method1 in the web service foo based on the input parameters. Parameters can be a data set, and the Proc can be any Proc and the values would be manipulated appropriately.

Proc Print data=foo.method1(param1=x, param2=y…);

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SAS 9.2 DI Enhancements

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SAS 9.2 Key Initiatives• Single sign-on

• Dynamic and cascading prompts

User Interface enhancements• Enhanced PFD

• “Post-it” Notes

• Complete undo/redo

Advanced Debugging• Capture & display runtime statistics

• Dynamic source, log, PFD linking

Job and Process Manageability• Step-thru and Run from processing

• Change Data Capture Transformations – DB2, Oracle, Attunity

Metadata Reporting

Enhanced Data Cleansing and Enrichment

Product RoadmapData Integration Studio 4.2

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Data Integration Studio 4.2Advanced Debugging

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Data Integration Studio 4.2 Warning / Error Management

View of Warnings and Errors with ability to jump right into the log or the code. We will also offer advice as to the likely cause

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Data Integration Studio 4.2Run-time Monitoring

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Data Integration Studio 4.2Metadata Reporting

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SAS/Access Enhancements

SAS/Access to Netezza (already shipping)

SAS/Access to HP Neoview

Overall enhancements for SAS/Access products• Teradata Parallel Transporter (TPT) support

• PC Files (Paradox, Prodas, Dbase)

• PC File Server as a Windows Service

Page 35: Sunz Keynote Bi Futures 20071128

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SASScoring

Data

Teradata EDW

Current Capabilities

Data

Teradata EDW

Future Option

SAS

Analytic Modeling

SAS

Analytic Modeling

SAS Modeling

SASScoring

SAS® In-Database Processing for Teradata

Page 36: Sunz Keynote Bi Futures 20071128

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OLAP Server Enhancements

Incremental Cube Update:• Easier to update the very large cubes SAS supports. Refresh times

significantly reduced

• Available options for updating a cube:

− Add new data

− Add new members per dimension table

− Member property updates for existing members

New Batch Management

Page 37: Sunz Keynote Bi Futures 20071128

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OLAP Cube Studio Enhancements

Carry out an incremental update

Provide security settings

Allows for preview and validation of cube without leaving the admin interface

Page 38: Sunz Keynote Bi Futures 20071128

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SAS 9.2 BI Enhancements

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SAS® Information Map Studio

Improved relational support• Dynamic & cascading prompts

• Auto arrange tables in relationship tab

Easier maintenance of information maps• Set property for multiple data items at once

• UI for fixing unresolved references

• Improving default descriptions

Page 40: Sunz Keynote Bi Futures 20071128

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SAS® BI Dashboard 4.2

Run in 3rd party portals via JSR 168

Support for alerts

Secure editing of ranges

Pass parameters to Web Report Studio report

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Parent Values

Visual Totals & Subtotals

% of Totals & Subtotals

Page 42: Sunz Keynote Bi Futures 20071128

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SAS Web Report Studio 4.2

Prompting & Filtering

Dynamic & cascading prompts

Case insensitive filters/prompts

Use information map filters & prompts for OLAP

Allow multiple filter conditions for one data item

Filter Dialog: Search for values

Page 43: Sunz Keynote Bi Futures 20071128

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Report Linking• Link from ESRI spatial map with multi-select parameter passing

• Link directly to a stored process

• Link to a specific report section

− Within same report

− Section in another report

SAS® Web Report Studio 4.2

Page 44: Sunz Keynote Bi Futures 20071128

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SAS® Web Report Studio 4.2

Add/view report comments

Email link to report, optionally with parameter values

Ability to call a report directly from a URL

Data driven hyperlinks in Tables/Graphs

Built-in scheduler

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Page 46: Sunz Keynote Bi Futures 20071128

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SAS® Add-In for Microsoft Office 4.2

Dynamic & cascading prompts

Forecast Server manual override

ODS Statistical Graphics support

Function in Microsoft Office 2007

Page 47: Sunz Keynote Bi Futures 20071128

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SAS® Add-In for Microsoft Office 4.2

Open and refresh SAS Reports authored by Web Report Studio or Enterprise Guide

PivotTable: calculated measures and drill-through support

PROC REPORT-based Wizard

Page 48: Sunz Keynote Bi Futures 20071128

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Top-level menus have been reduced and combined with a basic toolbar.

Summary Statistics

One-time Analysis

Programs

A contextual tool bar appears inside the content area optimized for the object being viewed.

Enterprise Guide 4.2 UI Framework

Page 49: Sunz Keynote Bi Futures 20071128

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Conditional processing is set up but not run:

Icons to show the path that is taken for the current run:

Conditional Logic displayed visually

Page 50: Sunz Keynote Bi Futures 20071128

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Conclusion

9.2 is designed to meet the emerging issues of new models of BI, as well as improving the user, and administrator experience.

This presentation only covered selected highlights – there is much more.

Further details will become available closer to release dates.

Page 51: Sunz Keynote Bi Futures 20071128

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Thank You

Page 52: Sunz Keynote Bi Futures 20071128

Copyright © 2006, SAS Institute Inc. All rights reserved.

SUNZ Annual Conference 2007

A Big Thank You, to Our Sponsors