sas analytics experience 2016 program guide · pdf fileexperiences and business results...

September 12–14 • Bellagio • Las Vegas

PROGRAM GUIDE

#AnalyticsX #AnalyticsX

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Agenda at a Glance

Monday, Sept. 12Registration Open: 7 a.m. - 6 p.m. | Innovation Hub Open: 2:30 - 6:30 p.m.

1 – 2:15 p.m. Keynote and General Session

New World Disorder: Change and Chaos in the New Digital AgeJared Cohen, President of Jigsaw and Chief Advisor to the Executive Chairman of Alphabet

Tower Ballroom

2:15 – 3 p.m. Executive Viewpoint

Executive Viewpoint: Achieving the New PossibleJim Goodnight, Chief Executive Officer, SASRoland Paanakker, Sr. Vice President and Chief Information Officer, Levi Strauss & Co Randy Guard, Executive Vice President and Chief Marketing Officer, SASOliver Schabenberger, Chief Technology Officer, SAS

Tower Ballroom

3 – 3:30 p.m. Refreshment Break Innovation Hub

3:30 - 5:15 p.m. Breakout Sessions (see page 4) Theater Sessions (see page 8) Hands-On Workshops (see page 14)

Various locations

5:15 – 6:30 p.m. Networking Reception Innovation Hub

5:15 - 8:30 p.m. Learning Lab (see page 14) Da Vinci 1

Tuesday, Sept. 13Registration Open: 7 a.m. - 5 p.m. | Innovation Hub Open: 7:30 a.m. - 5 p.m.

7:30 - 8:30 a.m. Breakfast and Learning Lab (see page 14) Innovation Hub and Learning Lab (Da Vinci 1)

8:30 – 9:30 a.m. Keynote and General Session

Data for GoodJake Porway, Founder and Executive Director, DataKind

Tower Ballroom

9:30 – 10 a.m. Refreshment Break Innovation Hub

10 a.m. - 3 p.m. Breakout Sessions (see page 4) Theater Sessions (see page 8) Hands-On Workshops (see page 14)

Various locations

Noon - 2 p.m. Lunch Innovation Hub

3 - 3:30 p.m. Refreshment Break Innovation Hub

3:45 - 5 p.m. Keynote and General Session

The Road AheadJill Dyché, Vice President of SAS Best Practices Amber MacArthur, President of Konnekt Jeremiah Owyang, Founder of Crowd Companies

Tower Ballroom

8 - 11 p.m. Tuesday Evening Party Jewel Nightclub at Aria

Wednesday, Sept. 14Registration Open: 7 a.m. - 4:30 p.m. | Innovation Hub Open: 7:30 a.m. - 4:30 p.m.

7:30 - 8:30 a.m. Breakfast Innovation Hub

8:30 – 9:30 a.m. Keynote and General Session

Disrupting Digital Business: The Post-Sales, On-Demand Economy Is HereR. Ray Wang, Principal Analyst, Founder and Chairman Constellation Research Inc.

Tower Ballroom

10 a.m. - 3:45 p.m. Breakout Sessions (see page 4) Theater Sessions (see page 8) Hands-On Workshops (see page 14)

Various locations

Noon - 2 p.m. Lunch Innovation Hub

2 - 6 p.m. Post-Conference Training Courses (see page 15) Various locations

3 - 3:30 p.m. Refreshment Break Innovation Hub

Analytics Experience Mobile App

For detailed information on Breakout Sessions,

Theater Sessions, Hands-On Workshops, Super

Demos and more, download the conference

mobile app. Simply search for SAS Events in your

device’s app store, sign in using the email address

you used to register for the conference, enter the

password AX2016 and select Analytics Experience.

Agenda is subject to change. See the conference mobile app for the latest schedule.

Conference Host Mark Jeffries


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Breakout Sessions

Monday, Sept. 12Time Raphael 1 Raphael 2 Raphael 3 Da Vinci 3 Da Vinci 4 Monet 1 Monet 2 Monet 3 Monet 4

3:30 - 4:15 p.m. Analytics in Fair Lending and Regulatory Environments

SunTrust Bank

Disruptive Foresights on Catching Financial Crises

Wells Fargo

Five Things You Should Know About Quantile Regression

SAS

Self-Service Data Manage-ment for Analytics Users Across the Enterprise

Teradata

Industrial Internet of Things

Intel, SAS

How Ansira Uses Machine Learning to Help Panera Bread Improve Customer Experiences and Business Results

Ansira, Panera Bread

S

SAS® Viya™ Platform: VDMML, Open APIs, Etc.

SAS

S

Using Simulation in Neonatal Intensive Care to Transform Data Into Information

Mission Health

S

IoT: Streaming Machine and Sensor Data

GE Power

S

4:30 - 5:15 p.m. HR Analytics From Scratch: Eight Lessons Learned in the First Year

Yum! Brands

Location, Location, Location! SAS/ETS® Software for Spatial Econometric Modeling

SAS

Using SAS/OR® to Optimize Scheduling and Routing of Service Vehicles

SAS

Give Decision Makers Access to Data and Evidence: Identi-fying Interventions to Reduce Hospital Readmissions at Elliot Hospital

Elliot Health Systems, Elliot Hospital Systems

Fitting and Evaluating Logistic Regression Models

Magnify Analytic Solutions

FordPass – How Ford's Re-imagined Customer Service Came to Life

Ford Motor Co.

S

Do You Know or Do You Think You Know? Incorporating Business Experiments Into Strategy Development

State Farm Insurance

S

Global Ethics and Compli-ance in a Rapidly Changing Regulatory Environment

Walmart

S

Marketing Evolution and Campaign Transformation Within Synchrony Financial

Synchrony Financial

S

Tuesday, Sept. 13Time Raphael 1 Raphael 2 Raphael 3 Da Vinci 3 Da Vinci 4 Monet 1 Monet 2 Monet 3 Monet 4

10 - 10:45 a.m. Delivering Analytics Through Data Visualization

Western Kentucky University

Managing Python Models With SAS® Model Manager

SAS

Readmission Model: From Thesis to Product

Geneia

Data Regions: Modernizing Your Company's Data

SAS

Research Infrastructure for Big Data and Analytics

East Carolina University

How to Get Early Warning Before an Operational Earthquake: Learn Your Operational Ecosystem

Google

S

Improving Care Coor-dination Through Risk Stratification

Dignity Health

S

The Connected Vehicle, the Connected Consumer and Advanced Analytics: Wholesale Disruption of the Product Life Cycle

General Motors

S

Design and Orches-trate Winning Customer Journeys for Multibrand Marketing

1-800-Flowers.com

S

11 - 11:45 a.m. Mass-Scale, Automated Machine Learning and Model Deployment Using SAS Factory Minor and SAS Decision Manager

SAS

Prediction Markets Using SAS

Microsoft

Marketing Analytics Careers to Millennials (and Beyond)

SAS

Hadoop Workflows Using SAS® Data Integration Studio

UnitedHealthcare

SAS® Rapid Predictive Modeler: Your Ally in Fund-raising

Kavi Associates

Telling a Compelling Story Using SAS® Visual Analytics

Kellogg Co.

S

AmeriHealth: SAS® Master Data Management Provides One Version of the Truth

AmeriHealth

S

Implementing a Country Risk Management System

GE Capital

S

Building Practical Analytics at The Wall Street Journal: Rapid Development Using Amazon Redshift

Dow Jones

S

Noon – 1 p.m. Self-Learner in SAS® Re-al-Time Decision Manager 6.5

SAS

Panel – Data Science vs. Analytics: What’s Common and What’s Different? Perspectives From Industry and Academia

Oklahoma State University

S

The Wizardry of IoT: A Journey of Laying Your Own Golden Path

Cisco Systems

S

Transform Your Analytics Ecosystem With Hadoop

UnitedHealthcare

S

1 – 2 p.m. You Have Heard of Machine Learning; Let’s Talk About Putting It in Action!

SAS

Stay Classy: Maximizing Promotion Returns Using Classification

Kellogg Co.

Analytics Shootout Presentations

Best Practices Using Analytics and Data for Good: Disaster Response Case Study

International Organization for Migration, SAS

S

The Analytic Hospitality Executive: Implementing Data Analytics in Hotels and Casinos

MGM Resorts, Wyndham Destination Network

S

T Technical Sessions M Midlevel Business Sessions S Senior Leadership Sessions Agenda is subject to change. See the conference mobile app for the latest schedule.


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Breakout Sessions (continued)

Tuesday, Sept. 13 (continued)

Time Raphael 1 Raphael 2 Raphael 3 Da Vinci 3 Da Vinci 4 Monet 1 Monet 2 Monet 3 Monet 4

2:15 - 3 p.m. Delivering Actionable Data Supporting Clinical Trial Excellence

INC Research

Discount Scoring Simulation With Unknown Information

Liberty Mutual Insurance

Eight Tips for Making Machine Learning More Interpretable

SAS

Implementing a Successful Data Governance Program

SAS

Insiders: Your Biggest Threat to Security?

SAS

Culture Matters: How to Build an Effective Data Science Team at Startup

Truveris

S

Fostering a Data-Driven Culture in a Complex Global Apparel Footprint

Levi's

S

Rethinking IoT From the Digital Consumer Perspective With Visa Big Data

Visa

S

Wednesday, Sept. 14Time Raphael 1 Raphael 2 Raphael 3 Da Vinci 3 Da Vinci 4 Monet 1 Monet 2 Monet 3 Monet 4

10 - 11 a.m. Machine Learning Attributes: Configurable Solution to Business Decisioning

Equifax

From Pixels to Knowledge: Using Machine Learning to Extract Insights From Energy Data

Duke University Energy Initiative

Practical Guidance for Machine Learning Applications

SAS

Going Beyond Data Visualization With SAS® Visual Statistics

SAS

Case Study: How Integrat-ed Solutions Deliver Patient Financial Outcomes

Revspring

S

Analytics on Hadoop

Cox Automotive Media Group, UnitedHealthcare, SAS

S

Using Analytics to Transform Government

Iowa Department of Revenue, SAS

S

Exploring the Analytical Marketer

Constellation Research, SAS

S

11:15 a.m. – Noon

Prediction of Chilled Water Plant Failures and System Op-timization Using Multivariate Modeling Techniques

Brady Services Inc., SAS

SAS/OR® for the Optimization of Media Ad Plans

SAS

Holiday Demand Forecasting

SAS

Your Data is Everywhere: Grow Its Value With Cisco

Cisco Systems

A Symbiotic Relationship Between Schools and Business

Capella University, North Carolina State University, Wake Technical Community College, SAS

S

How to Tune Your Cyber-security RADAR(2) With Security Analytics

Cleveland State University, SAS

S

Visual Analytics and Hadoop

89 Degrees

S

How the Smart + Connected Workplace Will Enhance the Worker Experience

Steelcase

S

There Is No Health Without Behavioral Health

San Bernardino County Behavioral Health Department

S

12:15 - 1 p.m. Turning Insight Into Action: How Aviva Turned Great Models Into Great Business Decisions

Aviva

Cluster Analysis on Regres-sion of Hazard Rate to Identify Increases

GE Appliances

Energy Utilities’ Data Explosion: Load Analytics and Customer Segmentation

Ameren, SAS

A New Analytical Approach for Monitoring High- Frequency Multivariate Data

SAS

Reducing Costs Through Benefit Design Changes

Prime Therapeutics

Answer Tough Questions Quickly With Data and Analytics

Experian

S

Agenda is subject to change. See the conference mobile app for the latest schedule.

T Technical Sessions M Midlevel Business Sessions S Senior Leadership Sessions


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Theater SessionsQ&A is encouraged in these highly interactive sessions in the Innovation Hub. Many will feature live software demos. These sessions appeal to all levels and job roles.

Monday, Sept. 12

Time Theater 1: Grand Ballroom Theater 2: Grand Ballroom Theater 3: Grand Ballroom

3:30 - 4:15 p.m. Build Machine Pipeline Easily for Big Data With SAS® Viya™

Getting Started With SAS® and Hadoop

Exploring and Unravelling Social Media Data: An Analytic Framework

4:30 - 5:15 p.m. Using Python With SAS® Cloud Analytic Services

Unfriending the Enemy: Social Media Analytics and Tradecraft

The Future of Data Management

Tuesday, Sept. 13


10 - 10:45 a.m. Developing Applications With Analytics as a Service From SAS

Baking Stories Into Your Corporate Culture and Business Practices

Scoring SAS® Text Analytics Models in Hadoop

11 – 11:45 a.m. Image Analytics Using SAS® Viya™ Titan or Titanic: Can You Keep Up in the Era of Big Modeling?

Defining the Business Case for IoT and Machine Learning in Utilities

Noon – 1 p.m. DATA Step in SAS® Viya™: Essential New Features

Design-Led Analytics: Keeping Users at the Heart of the Experience

Accenture

Surveillance Program Design and Behavioral Analytics Implementation

EY

1 – 2 p.m. Visualize and Analyze With SAS® Visual Data Mining and Machine Learning on SAS® Viya™

SAS® Aristotle: Your Personal Data Scientist

Creating Analytics Champions: Em-powering Analytics Users to Succeed

Teradata

2:15 – 3 p.m. Understanding Table and MemoryManagement in SAS® Cloud AnalyticServices

Streamlining Deployment of Analytical Models Using SAS® Model Manager

A Cheat Sheet on Open Source, Hadoop, and SAS® for the Non-Geeks

Wednesday, Sept. 14


10 - 10:45 a.m. Pipelined, Multiflow Data Pre-Processing in SAS® Viya™

Emerging Business Models for the Internet of Things

MIT Sloan Center for Information Systems Research, SAS

Prescriptive Analytics: Prescribing Faster and More Accurate Decisions

Teradata, SAS

11:15 a.m. – Noon

Reasoning About Unstructured Data With SAS® Text Analytics Cloud Services

Aligning Analytics Strategy to Business Strategy

International Institute for Analytics

The Value of Moving Streaming Analytics Outside the Data Center

Hortonworks

12:15 – 1 p.m. Finding the Needle in an Unstruc-tured Big Data Haystack

Voice of Customer Securely Analyze Data With SAS® and Cloudera

Cloudera

1:15 - 2 p.m. A Cheat Sheet on Open Source, Hadoop and SAS® for the Non-Geeks

Modeling Panel Data: Choosing the Correct Strategy

When Decisions Can’t Wait: From Analysis to Action – in Real Time

3 - 3:45 p.m. Defining the Business Case for IoT and Machine Learning in Utilities

Surviving Survival Forecasting of Product Failure

SAS® Visual Statistics 8.1: The New Self-Service Easy Analytics Experience

Table TalksA subject-matter expert will facilitate these small-group sessions. Meet nine of your newest friends for an in-depth discussion on the specific session topic. No audio or visual equipment is provided, but a white-board is available. (And good, old-fashioned conversation.)

Monday, Sept. 12

Time Table Talk 1: Bellagio Ballroom Table Talk 2: Bellagio Ballroom Table Talk 3: Bellagio Ballroom

3:30 - 4 p.m. Modernize Without Compromise

Dell, EMC

Accelerating Your Analytics With the Analytics Fast Track™ for SAS®

Barren to Bounty: Delivering Big Data Promise in Less Than One Year

INC Research

4:30 - 5 p.m. Cloud Computing: How Does It Work? Pardon Me, but I Believe That Your Data Is Being Inappropriate

Effective Variable Selection Techniques: Identifying Importance, Noise and Collinearity

Tuesday, Sept. 13


10 – 10:30 a.m. The Path to Analytic Modernization and Why It’s Important

Deloitte Consulting LLP

The Power of Connection

11 - 11:30 a.m. Accelerate Analytics at Scale to Enable Better Decisions: EMC DSSD and SAS®

EMC

Being Persuasive With Data

Zencos

Improving Forecasts for Time Series With Confounded Recurrent Calendar Effects and Seasonality

2:15 – 2:45 p.m. Shared File System Requirements for SAS® Grid Manager

IBM Corp.

Text Analytics on Steroids: Flexing Your Text Analytics Muscles

A Few Good Forecasts: Choosing the Right Model for the Job

Wednesday, Sept. 14


10 – 10:30 a.m. DFAST Submission: Guide to Building Analytic Models

Understanding Censored Data and Incomplete Records: Modeling and Forecasting

Data Preparation for Analytics Using DS2 and the SAS® In-Database Code Accelerator

11:15 – 11:45 a.m. Defining a Data Strategy (for Analytics) as a Real Project

The Role of Analytics in Understanding Cost: Getting Ready for Bundled Pay-ments and Risk-Based Payments

EY

Quickly Enable SAS® In-Memory and In-Database Analytics With a SAS® in a Box Solution

Teradata

1:15 – 1:45 p.m. Building an Analytics Community of Interest

Teradata

All speakers are from SAS unless otherwise indicated.

All speakers are from SAS unless otherwise indicated.


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Super DemosGet an in-depth demonstration of a particular SAS technique, feature or procedure during these 15-minute how-to sessions in the Innovation Hub.

Super Demo A Monday, Sept. 12

3:30 p.m. Building Stratified Models With SAS® Visual Statistics

4:30 p.m. Face Identification Using SAS® Viya™

Tuesday, Sept. 13

10 a.m. SAS Analytics in Action: Streaming Analytics for the Internet of Things

11 a.m. How Optimization Can Improve Transportation for the Boston Public Schools: A SAS and DataKind DataCorps Project

Noon Using SAS Visual Analytics to Perform a Path Analysis of Website Data

1:15 p.m. SAS Analytics in Action: Unlocking Your 80%: Unearthing New Insights With Text Analytics

2:15 p.m. Building a SAS Recommender Pipeline Through Various APIs

Wednesday, Sept. 14

10 a.m. Effect Selection for Generalized Linear Models With the HPGENSELECT Procedure

11:15 a.m. Marketing Mixed Modeling Using the SAS HPLMIXED Procedure

12:15 p.m. Increasing Enterprise Sales Through CRM Analytics

1:15 p.m. How to Model Confounded Promotion and Holiday Effects

3 p.m. Regression Analysis of Panel Data Using SAS® Enterprise Guide®

Super Demo B Monday, Sept. 12

4 p.m. Boost Your Small to Midsize Business With the Help of SAS® Office Analytics

5 p.m. SAS Analytics in Action: Unlocking Your 80%: Unearthing New Insights With Text Analytics

Tuesday, Sept. 13

10:30 a.m. SAS Analytics in Action: Essentials of Machine Learning Applications

11:30 a.m. A Probabilistic Machine Learning Approach to Detect Industrial Plant Faults

12:30 p.m. SAS Analytics in Action: Python Infusion With SAS

1:45 p.m. SAS Analytics in Action: Understanding and Engaging the Digital Consumer

2:45 p.m. SAS Analytics in Action: The 3 P’s of Effective Business Decisions: Process, Prediction, Policies

Wednesday, Sept. 14

10:30 a.m. SAS Analytics in Action: Understanding and Engaging the Digital Consumer

11:45 a.m. SAS Analytics in Action: The 3 P’s of Effective Business Decisions: Process, Prediction, Policies

12:45 p.m. Let’s Automate: Modeling Multiple Targets

1:45 p.m. Using Natural Language to Drive Applications

Super Demo C Monday, Sept. 12

3:30 p.m. Access the Predictive Power of Economic Variables

4:30 p.m. Empowering the Citizen Data Scientist to Model at Scale

Tuesday, Sept. 13

10 a.m. SAS® Analytics in Action: Making Analytics Actionable

11 a.m. SAS Analytics in Action: Managing the Customer Journey With a Customer Decision Hub

Noon SAS Analytics in Action: Adaptive Data Management

1:15 p.m. SAS Analytics in Action: The Democratization of Analytics Is Here!

2:15 p.m. SAS Analytics in Action: Expected Credit Loss Calculation and Reporting

Wednesday, Sept. 14

10 a.m. Customer Segmentation and Performance Analytics

11:15 a.m. SAS Analytics in Action: The Democratization of Analytics Is Here!

12:15 p.m. SAS Analytics in Action: Streaming Analytics for the Internet of Things

1:15 p.m. SAS Analytics in Action: Making Analytics Actionable

3 p.m. A Feature Selection Approach With Ensembles in SAS® Enterprise Miner™

Super Demo D Monday, Sept. 12

4 p.m. Respond to Market Signals Using Analytics in Action

5 p.m. Micro Models: Modeling Sub-Populations With SAS® Factory Miner and SAS® Enterprise Miner™

Tuesday, Sept. 13

11:30 a.m. SAS Analytics in Action: Reducing Cyber Risk With Security Analytics

12:30 p.m. Autotuning Machine Learning Models in SAS® Viya™

2:45 p.m. SAS Analytics in Action: Reducing Cyber Risk With Security Analytics

Wednesday, Sept. 14

10:30 a.m. SAS Analytics in Action: Adaptive Data Management

11:45 a.m. SAS Analytics in Action: Essentials of Machine Learning Applications

12:45 p.m. SAS Analytics in Action: Python Infusion With SAS

1:45 p.m. SAS Analytics in Action: Managing the Customer Journey With the Customer Decision Hub

3:30 p.m. SAS Analytics in Action: Expected Credit Loss Calculation and Reporting

.


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Conference Maps

Bellagio Conference Center Registration

Renaissance Foyer

Grand Patio

Medici

Tram to Jewel Nightclub at Aria

To Guest Elevator

Registration

Hands-On Workshops & Learning LabDa Vinci 1 & 2

Pool

Pool Wedding Chapels

Breakout Sessions & Training

Da Vinci 3 & 4

Breakout Sessions & TrainingMonet 1 - 4

Breakout Sessions & Training

Raphael 1, 2 & 3

Innovation HubGrand Ballroom

General Sessions and KeynoteTower Ballroom

Innovation HubBellagio Ballroom

Innovation HubBellagio Ballroom Table Talks

Table Talks

Table Talks

E-Posters

Meeting Center

Meeting Center Check-In

Consulting

Consulting

Consulting

SAS Experts

Super Demo D

Super Demo C

Super Demo A

Super Demo B

Social Media Hub

Sponsors

Sponsors

Information

Theater 1

Theater 2Theater 3

Learn

Innovation HubGrand Ballroom

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Hands-On Workshops and Learning LabAttend a Hands-On Workshop or visit the Learning Lab in Da Vinci 1 to explore SAS e-learning courses. These learning opportunities are included in your conference registration.

Hands-On Workshops

Monday, Sept. 12

3:30 – 5 p.m. Data Mining Using SAS® Enterprise Miner™

Tuesday, Sept. 13

10 – 11:30 a.m. Text Analytics Using SAS® Text Miner

12:15 – 1:30 p.m. SAS® Viya™ Data Mining and Machine Learning Procedures

1:45 – 3 p.m. SAS® Viya™ Data Mining and Machine Learning Procedures

Wednesday, Sept. 14

10 – 11:55 a.m. Getting Up to Speed With SAS® Viya™ Programming and SAS Cloud Analytic Services

Noon – 1:55 p.m. Using Python with SAS Cloud Analytic Services

Post-Conference Training CoursesDidn’t sign up for a post-conference training course? Stop by registration to see if there are still seats available.

1.5-day courses

Wednesday, Sept. 14 2 - 6 p.m.

Thursday, Sept. 15 8 a.m.– 6 p.m.

• SAS® Visual Statistics: Interactive Model Building

• Time Series Modeling Essentials

• SAS Contextual Analysis: Building Models

• Analytical Approaches to Solving Problems in Communications and Media

2-day courses

Wednesday, Sept. 14 2 – 6 p.m.

Thursday, Sept. 15 8 a.m. – 6 p.m.

Friday, Sept. 16 8 a.m. – Noon

• Neural Network Modeling

• Propensity Score Matching, Adjustment and Randomized Experiments

• Survival Data Mining Using SAS® Enterprise Miner™ Software

2.5-day courses

Wednesday, Sept. 14 2 – 5 p.m.

Thursday, Sept. 15 8 a.m. – 6 p.m.

Friday, Sept. 16 8 a.m. – 5 p.m.

• Applied Analytics Using SAS® Enterprise Miner™

• Advanced Predictive Modeling Using SAS® Enterprise Miner™

Self-Paced E-Learning

Monday, Sept. 12 5:15 – 8:30 p.m.

Tuesday, Sept. 13 7:30 – 8:30 a.m.

Or take an e-learning course at any time on one of the desig-nated computers in the Innovation Hub.

SAS® Programming• SAS Programming 2: Data Manipulation Techniques

• SAS Programming 3: Advanced Techniques and Efficiencies

Statistical Analysis• Statistics 2: ANOVA and Regression

• Categorical Data Analysis Using Logistic Regression

• Conjoint Analysis: Evaluating Consumer Preferences Using SAS Software

• Fitting Tobit and Other Limited Dependent Variable Models

• Discrete Choice Modeling Using SAS Software

• Determining Power and Sample Size Using SAS/STAT® Software

• Fitting Poisson Regression Models Using the GENMOD Procedure

• Robust Regression Techniques in SAS/STAT Software

• Advanced Statistical Modeling Using the NLMIXED Procedure

Data Mining• Predictive Modeling Using Logistic Regression

• Rapid Predictive Modeling for Business Analysts

• Advanced Analytics Using SAS® Enterprise Miner™

JMP® Statistical Analysis• JMP Software: Data Exploration

• JMP Software: Custom Design of Experiments

• Instant Applications Using JMP Application Builder

Forecasting• Forecasting Using SAS Forecast Server

• Advanced Analytics in a Big Data World

SAS® Solutions/Risk Management• Credit Risk Modeling Using SAS

Emergency Policy

All emergency calls should be sent to Bellagio

Security at extension 6911 from any house phone

or 702-693-7175 from a personal phone so that the

situation can be handled quickly and effectively in

accordance with the property’s established plan.

#AnalyticsX

16 |

Corporate SponsorsDiamond Sponsors

Emerald Sponsors

Sapphire Sponsors

E. J. Ourso College of BusinessDepartment of Information Systems

& Decision Sciences

NC STATE UNIVERSITY

Department of Statistical ScienceB.S., M.S. and Ph.D.

Academic Sponsors

TM

Analytics Shootout Sponsor

Tuesday Evening PartySept. 13

8 – 11 p.m.

Jewel Nightclub at Aria

With 1,300 feet of architectural LED ribbons

and walls of shape-shifting light technology,

Jewel offers a multifaceted experience. Enjoy

light hors d'oeuvres, drinks and dancing just

a short walk from Bellagio in Aria Resort and

Casino. A free tram is also available to take you

directly from Bellagio to Aria, running every

15 minutes.

UnifiedCloud-Ready

OpenPowerful

EXPERIENCESAS® VIYA

™

Visit sas.com/viya

First responders provide families in

Nepal shelter after an earthquake.

Researchers make clinical data more

open. And new treatments possible.

A growing city reduces water leaks

and boosts conservation.

Conservation advocates make the world

less dangerous for the endangered.

#data4good

Visit the Data for Good booth in the Innovation Hub

to discuss the potential of big data to tackle big social issues.

And how data scientists can apply their skills for the greater good.

sas analytics experience 2016 program guide · pdf fileexperiences and business results...

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