Archive for January, 2012

January 31st 2012

More Hot Topics at PAW – Healthcare, Insurance, Sports and More

More Hot Topics at PAW:
Healthcare, Insurance, Sports and More

You've seen our emails about some of the hot topics and advanced methods covered by PAW San Francisco's agenda, such as uplift modeling and social data.

Now check out these other sessions on insurance applications, behavior-based advertising, sports analytics and healthcare analytics at Predictive Analytics World, March 4-10:

Insurance Applications:
Case Study:
Mercury Insurance Group
Seize the Competitive Future through a Shared Vision for Value Creation, Quality Management & Collaboration
Arnold Goodman, Collaborative Data Solutions & Stephanie Behnke, CA General Underwriters Insurance

Case Study:
Alberta Motor Association
Insurance Pricing Models using Predictive Analytics
Richard Boire, Boire Filler Group

Case Study:
Broadspire
The First 24 Hours: Understanding New Claims
Gary Anderberg, Broadspire, Bangalore Gunashakar, Broadspire & Sergo Grigalashvili, Crawford & Company

 

Behavior-Based Advertising:
Case Study:
Yahoo!
How to Get the Exact Same Online Display Advertising Results with Only 55% of the Spending
Liwei Ma, Big Fish Games

Case Study:
CompassLabs
Prediction and Optimization Models for Online Display Advertising
Mahesh Kumar, Tiger Analytics

Case Study:
Interclick
Data, Data Everywhere: Navigating the Digital Ecosystem with Predictive Analytics
Yuan Ren, Interclick

 

Sports Analytics:
NFL, MLB, & NBA
Case Study: Major League Baseball
MLB Pitchers: A Look at the Numbers
Bartev Vartanian, Dataspora

Case Study: NFL, MLB, & NBA
Competing & Winning with Sports Analytics
Benjamin Alamar, Menlo College

 

Healthcare Analytics:
Case Study:
NFL, MLB, & NBA
Right Medicine, Right Patient
Max Kuhn, Pfizer

Case Study:
Sisters of Mercy Health Systems
Framework for Detection of Clinical States & Disease Onset Using Electronic Health Record (EHR) Data
Jeni Fan, Booz Allen Hamilton

 

Plus check out the sessions on these hot topics:

Want to learn more?
Download the conference guide for a comprehensive look at what we have lined up.

Register now – Bring the team and realize savings. Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass

Register Now!

To register go here

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January 25th 2012

PAW Toronto This April – Agenda Online – Early Bird Ends Feb 10

PAW Broadens Locations in 2012 to Include Canada
Predictive Analytics World Toronto, April 25-26

– Co-Located with eMetrics Marketing Optimization Summit and SMX –

Predictive Analytics World is expanding its locations in 2012 to include Toronto, Canada, as well as others such as Chicago and Düsseldorf later in the year.

The complete agenda is now online for Predictive Analytics World Toronto, Canada, April 25-26 at the Metro Toronto Convention Centre.

Take advantage of Super Early Bird: Register by Feb 10 for a $300 reduction over onsite registration

PAW's Toronto 2012 program is the first conference program in Canada to focus squarely on predictive analytics commercial deployment, featuring over 25 sessions so you can witness how predictive analytics is applied by:


Adobe AMA Capital One CIBC
Crawford Seer Verizon Wireless Pfizer

  • A U.S. Federal Government Agency
  • True-to-life anecdotes based on miscellaneous enterprise successes
  • plus insights from projects for Anheuser-Busch, Disney, HSBC, Pfizer, U.S. Govt., and others.

HOT TOPICS AND ADVANCED METHODS. PAW Toronto's agenda covers crowdsourcing data mining, ensemble models, financial services, forecasting, fraud detection, healthcare analytics, insurance, software development cost estimation, text analytics and uplift modeling, including other innovative applications that benefit organizations in new and creative ways.

View the agenda at-a-glance

SUPER EARLY BIRD: Register by Feb 10 for a $300 reduction over onsite registration

Register Now!

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January 24th 2012

Webinar: New Ways to Gain a Competitive Advantage Using Predictive Analytics

Live Broadcast:

Drive Your Business with Predictive Analytics

Join us on January 26, 2012 – 1:00pm est/10:00am pst

Brought to you by:

SAS

As global competition continues to shrink profit margins, organizations are seeking ways to increase revenue and reduce expenses. At the same time, businesses are being deluged with data from every action, operation and touch point. While this exponential increase in information is presenting challenges for many organizations, others are leveraging it to drive their business to higher profits. During these turbulent times, predictive analytics is how smart companies are turning data into knowledge to gain a competitive advantage.

Predictive analytics is a blend of tools and techniques that enable organizations to identify patterns in data that can be used to make predictions of future outcomes. In business, predictive analytics typically take the form of predictive models that are used to drive better decision-making. In this webinar, you will learn:

  • The most powerful and robust techniques for predictive analysis.
  • Types and sources of data used in developing predictive models.
  • Powerful applications of predictive analytics across a variety of industries.

About the Speaker:

Olivia Parr-Rud

Olivia Parr-Rud
OLIVIAGroup

Olivia Parr-Rud is an internationally recognized expert and thought leader in predictive analytics and innovative leadership. Her pioneering techniques in predictive modeling led to the writing of her first book, Data Mining Cookbook, Modeling for Acquisition, Risk and Customer Relationship Management (Wiley 2001).

Her passion for finding successful solutions for her clients inspired her research into the organizational dynamics and innovative leadership that support a culture of analytics. Her insights and observations are detailed in her second book, Business Intelligence Success Factors, Aligning for Success in a Global Economy (Wiley/SAS, 2009).

Olivia currently works with clients in the areas of predictive analytics and leadership development. Her clients include Cisco, Citizens, Clorox, HP, IBM, Xerox, Wells Fargo, Sprint, Nationwide, and SAS. Olivia has a Bachelor of Arts in Mathematics and a Master of Science in Statistics.

Hosted by:

Eric Siegel, Ph.D

Eric Siegel, Ph.D.
Program Chair,
Predictive Analytics World

Register Now!

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January 24th 2012

Social Media Analytics – 5 Featured Sessions at TAW San Francisco

Social Media Analytics at
Text Analytics World San Francisco

Text Analytics World, March 6-7 in San Francisco features cutting edge social media analytic methods and techniques – Check out these five TAW sessions, plus two more at Predictive Analytics World (colocated):

Modeling Collective Mood States Using Social Media Analytics

Johan Bollen, Associate Professor, Indiana University

Professor Bollen has gained a great deal of noteriety for discovering financial indicators from social media, i.e., predicting the stock market from Twitter feeds. Learn how Professor Bollen 's teamhave analyzed large- scale Twitter data tBollen 's team have analyzedo yield accurate measurements of the public's mood state which in turn have been shown to contain predictive information with regards to the Dow Jones Industrial Average. In addition you will learn how the team performed an analysis of longitudinal changes in individual user sentiment over hundreds of thousands of Twitter users to study the effects of social networking relations to evolving user mood states.

View the complete, detailed session description here


AVG Internet Security
Case Study: AVG Security

 

Predicting Real-World Events and Sentiment via Social Media Analysis
Rishab Ghosh, Co-Founder & Vice President of Research, Topsy Labs

Throughout the Mid East uprisings social networks such as Twitter have played a central role to communicate, organize and amplify uprising activities. This session will demonstrate how real-time search and analytic technology applied to social media can predict events and trends using real-word examples from the Mid East and elsewhere.



Case Study: HP

 

Developing Predictive Analytic Solutions Using Social Personas Derived from Social Media
Kumar Subramanyam, Senior Solutions Architect, Hewlett-Packard

Over the years, predictive analysis has relied on syndicated data to augment a company's internal data. Predominantly, these solutions have been wrapped around historical customer behavior data. But over the years, there has been tremendous growth in social media content, i.e. reviews, blogs, tweets etc. These social media sources contain numerous leading indicators that can be used towards anticipating behavior. This presentation focuses on techniques used towards developing social personas from these indicators and then in turn using these social personas towards enabling predictive analytic solutions.


MTV Networks
Case Study: MTV Networks

 

Predictive Social Marketing – Sentiment Forecasting and Impact on Success
John Bates, Product Manager, Predictive Marketing Solutions

Every summer, music fans worldwide look forward to one of the biggest music events of the year—the MTV Video Music Awards (VMAs). This year's VMAs turned out to be one of the world's largest, simultaneous social viewing experiences ever. Leading up to this year's VMAs, MTV marketers set out to grow the brand's social media presence and drive awareness. With 85 million MTV Facebook fans and more than three million Twitter followers—the stage was set for a firestorm of conversation and sharing. In order to assist MTV in their primary goal of gaining deeper insights into relationships between social activity and engagement with digital content, we combined Twitter and MTV.com data streams with text mining and predictive analytics techniques. As marketing continues to develop, sentiment forecasting will be critical to success in optimizing published content for both publishers and advertisers.


alphaGenius
Case Study: AlphaGenius

 

Behaviorals: Using Twitter & the Social Internet to Obtain Above Market Returns
Randy Saaf, CEO, AlphaGenius

Behaviorals is not an introduction to behavioral economics or about knowing yourself as an investor. There are lots of books on behavioral economics that give thorough analysis of why investors, as people, make irrational decisions and how to not let yourself fall victim to your own human emotions while investing. Instead, behaviorals is about studying other people as emotional investors and using text analysis of the social Internet to measure mass psychology to obtain above market investment returns.


Predictive Social Media Analytics at PAW (Co-Located Event):

Case Study: Social Media Research Foundation
Crowd Photography for Social Media
Marc Smith, Social Media Research Foundation

Case Study: Real-world examples in Financial Services, Emergency Response Exploring Social Data: Use Cases for Real-World Application
Chris Moody, Gnip


View Text Analytics World San Francisco Agenda and Session Details

TAW San Francisco's agenda covers hot topics and advanced methods such as blackbox trading, customer service and call centers, decision support, document discovery, document filtering, financial indicators from social media, government applications, insurance applications, knowledge discovery, marketing and branding, product launching, sentiment analysis, social data, social media applications, text analytics software, topic discovery, voice of the customer, and other innovative applications that benefit organizations in new and creative ways.

Want to learn more? Download the conference guide for a comprehensive look at what we have lined up.

Register now – Bring the team and realize savings. Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass

Register Now!

No Comments yet »

January 23rd 2012

Uplift Modeling at PAW San Francisco – Two Sessions, One Workshop, and a White Paper

Uplift at PAW
Two Sessions, One Workshop, and a White Paper
March 4-10 in San Francisco

Uplift modeling (a.k.a. net lift modeling) predicts persuasion. Why predict persuasion? Because we want to do persuasion! For marketing and certain other applications of predictive analytics, predicting our influence on customer behavior – rather than just customer behavior outright – is a major win.

Sessions at Predictive Analytics World 2 — Day Conference:

Monday, March 5, 9:00am
Eric Seigel Opening Keynote: Persuasion by the Numbers:
Optimize Marketing Influence by Predicting It
Eric Siegel
Program Chair
Predictive Analytics World

Data driven marketing decisions are meant to maximize impact – right? Well, the only way to optimize marketing influence is to predict it. The analytical method to do this is called uplift modeling. This is a completely different animal from what most models predict: customer behavior. Instead, uplift models predict the influence on customer behavior gained by choosing one marketing action over another. The good news is case studies show ROI going where it has never gone before. The bad news? You need a control set… But you should have been using one anyway! The crazy part is that "marketing influence" can never be observed for any one customer, since it literally involves the inner workings of the customer's central nervous system. If influence can't be observed, how can we possibly model and predict it?

 

Monday, March 5, 4:35pm
Kim Larsen Case Study: Market Share Partners
Response Modeling is the Wrong Modeling:
Maximize Impact With Net Lift Modeling
Kim Larsen
Vice President of Analytical Insights
Market Share Partners

The true effectiveness of a marketing campaign isn't response rate! It's the incremental impact – that is, additional revenue directly attributable to the campaign that would not otherwise have been generated. Yet traditional targeting criteria are often designed to find clients that are interested in the product, but would have bought it whether or not they received a promotion. In such cases, the incremental impact is insignificant and the marketing dollars could have been spent elsewhere.

Net Lift Models are designed to maximize incremental impact by targeting the undecided clients that can be motivated by marketing. These "swing customers" are akin to the swing states of a presidential election; data miners could learn a lot from presidential campaigns.

Beyond targeted marketing, Net Lift methodology delivers tremendous performance improvements for deployed churn models – retaining "savables" while avoiding the adverse "reverse" affects retention outreach triggers for some customers – as well as other innovative business applications of this advanced analytical method.

This session will demonstrate how to build Net Lift Models (also referred to as Uplift or Incremental Lift) that optimize the incremental impact of marketing campaigns, discussing the pros and cons of multiple core analytical approaches.

Post Conference — 2 Day Workshop:

Friday, March 9 – Saturday, March 10
2 Full-days: 9:00am-4:30pm
Kim Larsen Net Lift Models: Optimizing the Impact of Your Marketing
Instructor: Kim Larsen
Vice President of
Analytical Insights
Market Share Partners

Response modeling is the wrong modeling! Whatever your response rate, what about those customers who would have purchased anyway without expending the cost of contact? If retention offers targeted by a churn model save some customers, what about the "casualties," i.e., the customers who respond adversely to this contact but who would have stayed if left alone? Net lift modeling, a.k.a. uplift, incremental lift or true lift modeling, addresses these very issues.

 

White Paper:
White Paper Uplift Modeling: Predictive Analytics Can't Optimize Marketing Decisions Without It
by PAW Conference Chair, Eric Siegel

This convention-altering white paper reveals the why and how of Uplift Modeling, and delivers case study results that multiply the ROI of predictive analytics by factors up to 11.

Want to learn more? Download the conference guide for a comprehensive look at what we have lined up.

Register now – Bring the team and realize savings. Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass.

Register Now!

To register go here

No Comments yet »

January 17th 2012

Don’t Miss – TAW San Francisco Early Bird Ends This Week

Super Early Bird Ends This Friday, January 20th
Savings of $400 over onsite registration

Text Analytics World focuses on concrete examples of deployed text analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners employ text analytics, and what kind of business impact it delivers.

TAW San Francisco will feature over 20 sessions with case studies at leading enterprises in e-commerce, financial services, government, healthcare, high technology, insurance, retail, and social media such as:

ADOBE Accident Fund Alpha Genius amdocs
AVG Internet Security Samsung CDC HP MTV

Text Analytics World San Francisco, March 6-7, 2012, is packed with the top text analytics experts, practitioners, authors and business thought leaders, including keynote speakers:


Johan Bollen
Associate Professor
Indiana University
Modeling Collective Mood States Using Social Media Analytics

John Elder
CEO & Founder
Elder Research, Inc.
Multiple Case Studies: Text Mining: Lessons Learned

Usama Fayyad
Chairman & CTO ChoozOn
Former Chief Data Officer Yahoo!
Text Analytics and Mining Big Data: From Sentiment Analysis to Understanding Consumer Intent

TAW San Francisco's agenda covers hot topics and advanced methods such as blackbox trading, customer service and call centers, decision support, document discovery, document filtering, financial indicators from social media, government applications, insurance applications, knowledge discovery, marketing and branding, product launching, sentiment analysis, social data, social media applications, text analytics software, topic discovery, voice of the customer, and other innovative applications that benefit organizations in new and creative ways.

Take advantage of Early Bird Pricing ending this week and realize savings of $400 over onsite registration

Note: Bring the team and realize additional savings. Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass.

Register Now!

No Comments yet »

January 17th 2012

Don’t Miss – PAW San Francisco Early Bird Ends This Week

Early Bird Ends This Friday, January 20th
Savings of $400 over onsite registration

Predictive Analytics World focuses on concrete examples of deployed predictive analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers. View the agenda at-a-glance.

PAW's SF 2012 program will featuring over 40 sessions with case studies across 2 tracks: 1) All Audiences and 2) Expert/Practitioner so you can witness how predictive analytics is applied from leading enterprises such as:

Altos Broadspire Compass Labs
HP Interclick Kelley Blue Book LinkedIn
NBA-NFL-MLB Pfizer Mercy Sisters Social Media
University of Phoenix Verizon Wireless Volunteers of America Wells Fargo
Wikipedia YMCA ZZAlpha

See what past attendees have to say about Predictive Analytics World:

"The advantage of Predictive Analytics World to other conferences
is that it's sponsor-neutral, thereby most of the effort goes into the
promotion of various data mining techniques and not to a specific
software."

— Mehran Azhar, Senior Marketing Analyst, WW Grainger

"Hands down, best applied, analytics conference I have
ever attended. Great exposure to cutting-edge predictive
techniques and I was able to turn around and apply some
of those learnings to my work immediately. I've never been
able to say that after any conference I've attended before!"

— Jon Francis, Senior Statistician, T-Mobile


Predictive Analytics World, March 4-10, 2012, in San Francisco is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers:

Piyanka Jain
Piyanka Jain
CEO, Aryng.com
Former PayPal Business Analytics Head
The Five Myths of Predictive Analytics
Anne Robinson
Anne Robinson
Dir. of Supply Chain Strategy & Analytics
Verizon Wireless
Influencers, Skeptics, and Data Geeks
Eric Siegel
Eric Siegel
Conference Program Chair
Predictive Analytics World
Persuasion by the Numbers: Optimize Marketing Influence by Predicting It

Plus special plenary sessions from industry heavy-weights:

Andreas Weigend
Andreas Weigend
weigend.com
Former Chief Scientist, Amazon.com
Identity Wars: The Battle to Control Personal Data
John Elder
John Elder
CEO & Founder
Elder Research, Inc.
Becoming an Ace with a Robot as your Wingman

Take advantage of Early Bird Pricing ending this week and realize savings of $400 over onsite registration

Note: Bring the team and realize additional savings. Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass.

Register Now!

To register go here

No Comments yet »

January 10th 2012

Text Analytics Practical Methods and Solutions Workshop, TAW San Francisco – Early Bird Pricing Ends Soon

Text Analytics Practical Methods and Solutions Workshop
Plus 5 Additional Analytics Workshops

Text Analytics World, March 6-7, 2012 in San Francisco

Register Now!

Text Analytics World San Francisco (TAW), March 6-7, covers advanced methods that leverage unstructured data for maximum business impact, and reveals the latest in text analytics technology.

TAW San Francisco workshop:

Thursday, March 8
Making Text Mining Work:
Practical Methods and Solutions

Full-day: 9:00am – 4:30pm
The text mining solutions available now, the problems for which they are best suited and best practices in text mining.
Andrew Fast Andrew Fast
Director of Research
Elder Research, Inc.
Full Details

Take advantage of this full-day text analytics workshop: Making Text Mining Work: Practical Methods and Solutions with Dr. Andrew Fast, Director of Research, Elder Research, Inc. on March 8th. This workshop surveys standard and advanced methods for text mining. Dr. Fast will describe the key inner workings of leading algorithms, demonstrate their performance with business case studies, compare their merits, and show how to pick the approach best suited for your project. Methods covered include search indexes, text classification, information extraction, document similarity and more.

The key to successfully leveraging these methods is to find the right "hammer" for your text "nails" and understand the limits of those techniques.

More Analytics Workshops

In addition to the featured text analytics workshop, five other analytics workshops are offered. These workshops are taught by leading experts and experienced users including:

R for Predictive Modeling: A Hands-On Introduction
Max Kuhn, Director, Nonclinical Statistics, Pfizer

Business Friendly Data Mining with Decision Management
James Taylor, CEO, Decision Management Solutions

Advanced Methods Hands-on: Predictive Modeling Techniques
Dean Abbott, President, Abbott Analytics

Net Lift Models: Optimizing the Impact of Your Marketing
Kim Larsen, Vice President of Analytical Insights, Market Share Partners

Predictive Analytics Applied – An Online Introduction
Eric Siegel Ph.D., Conference Chair, Predictive Analytics World

View the complete Line-up of these in-depth Workshops

Text Analytics World focuses on concrete examples of deployed text analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners employ text analytics, and what kind of business impact it delivers.

Download the conference preview for an in-depth look at the TAW's all-star speaker line up and array of case studies

Text Analytic World's March agenda covers hot topics and advanced methods such as:

Blackbox Trading
Customer Service and Call Centers
Decision Support
Document Discovery
Document Filtering
Financial Indicators from Social Media
Government Applications
Insurance Applications
Knowledge Discovery

Marketing and Branding
Product Launching
Sentiment Analysis
Social Data
Social Media Applications
Text Analytics Software
Topic Discovery
Voice of the Customer

Register now and take advantage of Early Bird Pricing – realize $100 workshop savings and $400 savings over onsite registration

Note: Bring the team and realize additional savings. Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass.

Register Now!

No Comments yet »

January 10th 2012

Full-Day Analytics Workshops, PAW San Francisco – Early Bird Pricing Ends Soon

Sharpen Your Skills and Broaden Your Expertise
with Full Day Analytics Workshops

Predictive Analytics World, March 4-10, 2012 in San Francisco

Early Bird Pricing

Predictive Analytics World focuses on concrete examples of deployed predictive analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers.

PAW San Francisco workshops:

Sunday, March 4 Wednesday, March 7
R for Predictive Modeling:
A Hands-On Introduction

Full-day: 9:00am – 4:30pm
Modeling Methods: The Best and
the Worst of Predictive Analytics

Full-day: 9:00am – 4:30pm
This one-day session provides a hands-on introduction to R, the well-known open-source platform for data analysis. The key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits.
Max Kuhn Max Kuhn
Director, Nonclinical Statistics
Pfizer
John Elder John Elder, Ph.D.
CEO and Founder
Elder Research
Full Details Full Details
Thursday, March 8 Thursday, March 8
Business Friendly Data Mining
with Decision Management

Full-day: 9:00am – 4:30pm
Advanced Methods Hands-on:
Predictive Modeling Techniques

Full-day: 8:45am – 4:30pm
How to talk so your business team will listen, how to listen so your business team will talk. Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software.
James Taylor James Taylor
CEO
Decision Management Solutions
Dean Abbott Dean Abbott
President
Abbott Analytics
Full Details Full Details
Thursday, March 8 Fri/Sat, March 9-10
Making Text Mining Work:
Practical Methods and Solutions

Full-day: 9:00am – 4:30pm
Net Lift Models: Optimizing the
Impact of Your Marketing

2 Full days: 9:00am – 4:30pm
The text mining solutions available now, the problems for which they are best suited and best practices in text mining. The true effectiveness of a marketing campaign isn't response rate, it is the incremental impact – that is, additional revenue directly attributable to the campaign that would not otherwise have been generated.
Andrew Fast Andrew Fast
Director of Research
Elder Research, Inc.
Kim Larsen Kim Larsen
Vice President
Analytical Insights
Full Details
On-Demand
Predictive Analytics Applied – An Online Introduction
Online 5 ½-hour training program – on demand
New to predictive analytics? Take this online course instructed by the chair of PAW to ramp up before the conference. On-demand access at any time.
Eric Siegel Eric Siegel Ph.D.
Conference Chair
Predictive Analytics World
Full Details

Predictive Analytic World's March agenda covers hot topics and advanced methods such as:

Agile Analytics
Behavior-based Advertising
Blackbox Trading
Branch Location Assessment
Churn Modeling
Clinical Healthcare
Cloud Analytics
Crowdsourcing Predictive Analytics
Econometric Indicators
Education Applications
Enterprise-wide Analytics Forecasting
HR Analytics
Insurance
List Sourcing
Non-profits
Online Marketing
Real Estate Market Scoring
Risk Management
Social Data
Sports Analytics
Targeting Direct Marketing
Uplift Modeling

*Take advantage of Early Bird Pricing ending January 20th and realize $100 Workshop Savings and $400 Conference Pass Savings off the onsite price

Note: Bring the team and realize additional savings. Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass.

Register Now!

To register go here

No Comments yet »

January 4th 2012

PAW San Francisco Conference Preview Just Released – Featuring Over 40 Sessions

Download the Conference Preview
Predictive Analytics World San Francisco
March 4-10, 2012

Early Bird Savings – $400 Off Onsite Registration

With over 40 case study sessions across 2 tracks, PAW San Francisco features the top predictive analytics experts, practitioners, authors and business thought leaders, who share how they deploy predictive modeling, and what kind of business impact it delivers.

Download the conference preview for an in-depth look at the PAW's all-star speaker line up and array of case studies.

Predictive Analytic World's March agenda covers hot topics and advanced methods such as:

Agile Analytics
Behavior-based Advertising
Blackbox Trading
Branch Location Assessment
Churn Modeling
Clinical Healthcare
Cloud Analytics
Crowdsourcing Predictive Analytics
Econometric Indicators
Education Applications
Enterprise-wide Analytics Forecasting
HR Analytics
Insurance
List Sourcing
Non-profits
Online Marketing
Real Estate Market Scoring
Risk Management
Social Data
Sports Analytics
Targeting Direct Marketing
Uplift Modeling

Want to learn more? Download the conference preview for a comprehensive look at what we have lined up.

Register now and take advantage of Early Bird Pricing – realize savings of $400 over onsite registration.

Note: Bring the team and realize additional savings. Each additional attendee from the same company registered at the same time receives an extra $200 off the Conference Pass.

Hear what experts and attendees have to say about Predictive Analytics World

Register Now!

To register go here

No Comments yet »