how sas(r)9 allows the delivery of the power of predictive

Copyright © 2007, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration.

How SAS®9 Allows the Delivery of the Power of Predictive Analytics and Forecasting to the Masses

How SAS®9 Allows the Delivery of the Power of Predictive Analytics and Forecasting to the MassesDavid PopeTechnical Architect II, SAS InstituteDavid PopeTechnical Architect II, SAS Institute


AgendaIntroduction

The Business Value of Analytics

Establish the SAS 9 Enterprise Intelligence Platform

SAS Enterprise Business Intelligence Overview

Delivery of Predictive Analytics Through the Platform

Delivery of Forecasting Through the Platform

Conclusions: Q/A if time allows


IntroductionAnalytics and Forecasting provide strategic advantages in decision making

SAS 9 is designed to make it easier to derive and deliver analytic results throughout your organization

SAS Enterprise Business Intelligence leverages the SAS 9 architecture by providing a pre-built framework for communication and reporting


IntelligenceIntelligence

Str

ateg

ic V

alue

Str

ateg

ic V

alue

Industry ExpertiseIndustry ExpertiseOptimizationOptimization

Predictive ModelingPredictive Modeling

ForecastingForecasting

Reporting / OLAPReporting / OLAP

Data ManagementData Management

Data AccessData Access

The Business Value of Analytics:Predictive Analytics Turns Intelligence Into a Strategic Advantage

What’s the best that can happen?

How much and where?

What will happen next?

What happened?

How many, how often?



Bottom line: Analytics are used primarily to impact two main areas of any organization:• Increase revenues• Reduce costs

Increase Revenue and/or Reduce Costs = More Profitable

How:• Analytics help you understand your customers behavior• Analytics help determine whether some event may occur



The median ROI for business intelligence projects using predictive technologies was 145%, compared with a median ROI of 89% for projects without them” – IDC

Most important, we found a striking relationship between the use of analytics and business performance. We found that the majority of high-performing businesses strategically apply analytics in their daily operations.


The Business Value of AnalyticsForecasting is NOT Data Mining or Predictive Modeling

Predictive modeling is predicting an outcome based on a given set of information.

Bottom line: Finding relationships in data.

Example: Out of 1000 emails sent 100 people will respond.

Forecasting uses time series data to model patterns across time to project future values.

Bottom line: Finding a trend over time.

Example: Forecast how many more call center employees will be need to handle increased volume due to 1000 emails being sent out.


The Business Value of AnalyticsSave a husband’s leg using EM and TM

Match people with products

Match people with people, literally

Provide people with great experiences – customer loyalty, offerings, etc…

Defect fraud and monitor risk

Save resources, save lives, it is truly amazing all of what SAS is used for by our customers

When it comes down to it SAS simply makes life easier and better in so many different ways, it is impossible to list them all unless of course you use SAS to make that report


Establishing the PlatformThe Enterprise Intelligence Platform


SAS® Enterprise Intelligence Platform Data Integration

ETL

Data cleansing and enrichment

Data federation

Migration and synchronization

Master data management


SAS® Enterprise Intelligence Platform Business Intelligence

Query and Analysis

Reporting

OLAP

Integrated Analytics

Visualization

Microsoft Office Integration


SAS® Enterprise Intelligence Platform Analytics

Statistics

Data and Text Mining

Forecasting

Econometrics

Quality Improvement

Operations Research


SAS® Enterprise Intelligence Platform Intelligence Storage

Optimized data solution for growing data warehouses and data mart volumes.

Relational and multidimensional storage option.


SAS® Enterprise Intelligence Platform Metadata

Open, centralized metadata management.

Consistent, reusable metadata across enterprise.

Reduces errors, complexity and maintenance cost.

Greater accuracy and lower TCO.


Addressing Business Issues


Industry-Specific Application


Industry SolutionsBankingInsuranceTelecommunicationsRetailManufacturingPublic SectorEducationOil & GasUtilitiesLife Sciences…


SAS Enterprise Business Intelligence Overview

Leverages the Enterprise Intelligence Platform and provides an extensible pre-built framework for communication and reporting

Includes several persona designed interfaces that can be used to deliver analytic and forecasting results throughout your organization


SAS BI: SAS® Enterprise Guide®


SAS BI: SAS® Add-In for Microsoft Office


SAS BI: SAS® Web Report Studio


SAS BI: SAS® Information Delivery Portal


Common Infrastructure

Shared Metadata Shared Data

SAS® Data Integration Studio

SAS® Web Report Studio (WRS)

SAS® Enterprise Guide

SAS® Enterprise Miner (Eminer)

SAS® Information Map Studio (IMS) SAS® Text

Miner

SAS® Add In forMicrosoft Office (AMO)

Enterprise-wide Access to SAS Analytics =

Stored Processes via Enterprise Business

Intelligence

Business Metadata


SAS® Clients

SASApplication

Servers

MetadataServer

WorkspaceServer

SASSAS

DBMS(DB2)DBMS(DB2)

DataServers

OLAPServer

RemoteServers

ProjectRepository

MetadataRepository

JobScheduler

StoredProcessServer

QualityKnowledge

Base

SAS Enterprise Server ArchitectureDesktop

Mid-Tier WebServer

SAS® Web Clients

WebBrowser

Mainframe SAS Server

HTTP DAVContent Server


RDBMSFor Example:

Teradata

RDBMSFor Example:

Teradata

Real-Time DQ so Real Time Scoring

works!

SAS® Enterprise Miner (Eminer)

SAS: SPDSSAS: SPDS

SAS®

SAS® Model Manager

WebBrowser

1. Data Sample/Extract

2. Model Development

SAS Enterprise Intelligence Platform

5. Real-Time DQ so Real Time Scoring

works!

3. Register Models

4. Deploy Models for Real Time Scoring

Delivery of Predictive Analytics through the Platform


Delivery of Forecasting through the PlatformSAS forecasting results can be delivered through the SAS Business Intelligence interfaces, like the SAS Add-in for Microsoft Office and the SAS Information Delivery Portal.

SAS Forecast Studio can deliver results using its GUI or through custom stored processes.

NEW: SAS Demand-Driven Forecasting uses the EBI solution as the delivery system for its forecasts starting with a BI dashboard as its entry point.


ConclusionsSAS Enterprise Business Intelligence in combination with the power of SAS analytics and forecasting is a perfect example of using the SAS 9 platform/architecture to: • Develop a strategic business advantage based on predictive

analytics and forecasting• Make it extremely easy to share those results throughout your

organization • SAS Enterprise Business Intelligence leverages the Enterprise

Intelligence Platform to provide a pre-built framework that is extensible, but includes several easy to use interfaces which makes it the best choice for spreading the power of SAS analytics and forecasting throughout your organization.

Copyright © 2007, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Copyright © 2007, SAS Institute Inc. All rights reserved. SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration.

how sas(r)9 allows the delivery of the power of predictive

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