Archive for September, 2011

September 28th 2011

PAW London announces new customer retention case study


Instructor:
Claire Aspinall
Renewals Manager,
IPC Media
Predictive Analytics World London (30 November to 1 December) is pleased to announce a new case study looking at how churn modelling improved customer retention at IPC Media.  Claire Aspinall, Renewals Manager, will be joined by Director of Analytical People, John McConnell to give a practical view of how the company designed, built, tested and deployed several models and so increased retention and profitability.

Interested in real-world case studies for the deployment of predictive analytics? Don’t miss the other companies covered at this year’s PAW London:

BBC
The Economist
ENERGEX
GlaxoSmithKline
Hewlett Packard
ING Belgium
IPC Media
JustGiving
Lloyds TSB General Insurance
Netto Bank
OTTO Group
Paychex
Prosper.com
The Royal Bank of Scotland
United Group Holdings
US Bank
Plus special examples from U.S. government agencies DoD, DHS, SSA

See the full Predictive Analytics World online agenda at a glance here

Register now and make savings

Register NowRegister by 14th October to make savings of up to £200 on the price of a two day pass with the early bird pricing. It's literally impossible for one person to take in all the content on offer so don't forget to bring along a colleague and combine the super early price with the "Bring the team" offer, saving you an additional £100 on the price of every additional team member registered.

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September 27th 2011

Full Day Hands-On Predictive Analytics and Text Analytics Workshops in NYC– In Just 3 Weeks

HANDS-ON WORKSHOPS

Sharpen Your Skills at Predictive Analytics World and Text Analytics World by Adding a Related Hands-on Workshop

— or —

Broaden Your Expertise by Mixing and Matching Workshop and Conference Topics

Register Now!

Tuesday, October 18, 2011

Dean Abbott Hands-On Predictive Analytics with SAS Enterprise Miner
Dean Abbott
President
Abbott Analytics
Workshop sponsored by:
SAS Logo

Once you know the basics of predictive analytics, there's no better way to dive in than operating real predictive modeling software yourself – hands-on. "Get your hands dirty" by trying out state-of-the art modeling methods on real data. Working to solve a specific business problem, you will design and execute on a core analytical approach. Prep the data, set up the modeling, push "go" and check out the results

"Hands-on Predictive Analytics" puts predictive analytics into action. This one-day workshop leads participants through the industry standard data mining process, from Business Understanding through Model Deployment, approaching each stage of this process by driving a state-of-the-art data mining software product. In this way, attendees gain direct experience applying this "best practices" process, and ramp up on an industry-leading tool to boot.

Friday, October 21st, 2011

Tim Daciuk Hands-On Introduction to Text Analytics with IBM SPSS
Tim Daciuk
Business Development Manager, Advanced Analytics, IBM
Workshop sponsored by:
IBM Logo

Your organization holds an increasing amount of data in unstructured and semi-structured formats from customer e-mails, call center logs, incident descriptions, suspicious transaction reports, open-ended customer survey responses, news feeds, Web forms, and so on. Leveraging this information in a thorough and systematic way is increasingly critical in order to understand customer behavior and attitudes, develop successful predictive models and drive business decisions.

This introduction to text analytics provides true hands-on experience, using IBM SPSS Modeler and IBM SPSS Text Analytics software. The course will guide you to actively analyze text, improving the understanding of unstructured data, and using this understanding to enhance data mining models


Read about 7 other analytics workshops alongside PAW and TAW


Predictive Analytics World will be co-located alongside Text Analytics World, as part of Data Driven Business Week, providing cross-registration options for access to a wide scope of leading analytical coverage and case studies.

Read more about PAW:

The FAQs on PAW & TAW NYC
Most Important Influencers in Analytics
PAW London Keynotes & Case Studies – Nov 30-Dec 1 in London
Call-for-Speakers for 3 PAWs & 1 TAW – 2012 in SF/Chicago/Toronto
Reasons to Attend Predictive Analytics World – View video now
Download the PAW NYC Conference Preview Guide

Already registered but haven't booked your room for PAW or TAW NYC?
Hotel rooms are selling out, secure your hotel room prior to September 30 to receive the group rate. Book your room online or by calling 212-586-7000 and referencing Data Driven Business Week.

Register Now!

Bring the team* and realize $200 in savings when you register now!

*Additional savings of $200 on the two-day conference pass when you register a colleague at the same time.

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September 13th 2011

PAW/TAW – The Most Important Influencers in Analytics

The Most Important Influencers in Analytics

Predictive Analytics World and Text Analytics World – next month in
NYC – deliver sessions and workshops from the most influential industry leaders in the fields of predictive analytics and text analytics including:

John Elder
CEO & Founder
Elder Research, Inc.

John has headed the largest analytics services firm in North America for 16 years, and is a top thought leader, practitioner, and author in data mining. He is the General Chair of PAW-Government, and has served five years on a panel appointed by the President to guide technology for National Security. View full bio here.

PAW special plenary session: Data Mining Lessons Learned from Applied Projects with Anheuser-Busch, SSA, Netflix

TAW Keynote: Text Mining: Lessons Learned

Post-conference workshop: Predictive Modeling Methods and Common Data Mining Mistakes. We are pleased to announce the return of this hugely popular workshop – sign up now before it sells out.


Thomas Davenport Thomas Davenport
President's Distinguished Professor
Babson College
Author, Competing on Analytics
PAW/TAW Joint Keynote: Every Day Analytics: Making Leading Edge Pervasive

David C. Gondek David C. Gondek
IBM Technical Lead, Watson
IBM Research
PAW/TAW Joint Keynote: Building Watson – An Overview of the DeepQA Project

Dean Abbott Dean Abbott
President, Abbott Analytics
TAW Session: Rules Rule: Inductive Business-Rule Discovery in Text Mining
PAW Session: Turning Member Satisfaction Surveys into an Actionable Narrative
Pre-conference workshop: Hands-On Predictive Analytics with SAS Enterprise Miner

Piyanka Jain Piyanka Jain
CEO, Aryng.com
PAW Session: Putting Predictive Analytics into Context: The Analytics Value Chain
Pre-conference workshop: Predictive Analytics: Fundamentals and Use Cases
Pre-conference workshop: Hands-On Business Analytics: Insights to Impact

Puneet Sharma Puneet Sharma
Senior Manager, PayPal
PAW Session: Putting Predictive Analytics into Context: The Analytics Value Chain
Pre-conference workshop: Predictive Analytics: Fundamentals and Use Cases
Pre-conference workshop: Hands-On Business Analytics: Insights to Impact

James Taylor James Taylor
CEO
Decision Management Solutions
PAW Session: Next Generation Claims Systems
Pre-conference workshop: Driving Enterprise Decisions with Business Analytics

And that's just the tip of the iceberg. Check out these sessions:

… and many more – see the PAW agenda overview and TAW agenda overview.

Read more about PAW:

The FAQs on PAW & TAW NYC
PAW London Keynotes & Case Studies – Nov 30-Dec 1 in London
PAW/TAW 2012 SF Call-for-Speakers – March 2012 in SF
Reasons to Attend Predictive Analytics World – View video now
Download the PAW NYC Conference Preview Guide

Already registered but haven't booked your room?
Hotel rooms are selling out, secure your hotel room prior to September 16th to receive the group rate. Book your room online or by calling 212-586-7000 and referencing Data Driven Business Week.

Register Now!

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September 9th 2011

The FAQs on PAW & TAW NYC – Early Bird Extended to Friday

Early Bird Savings of $400 off full price extended to this Friday

Frequently Asked Questions About
PAW & TAW NYC's Agenda
co-located with PAW

You asked for it, you got it. The central FAQs regarding Predictive Analytics World and Text Analytics World NYC's Oct 16-21 conference agenda, answered by the founding chair, Eric Siegel.

Eric Siegel
Conference Program Chair
Predictive Analytics World

Why should I come to Predictive Analytics World NYC?

Predictive Analytics World is the leading and largest cross-vendor conference covering commercial deployment. There's nowhere else you'll find as much content and as many leading experts.

What's new – what are the hot topics covered at PAW-NYC and TAW-NYC?

PAW's agenda covers black box trading, churn modeling, crowdsourcing, demand forecasting, ensemble models, fraud detection, healthcare, insurance applications, law enforcement, litigation, market mix modeling, mobile analytics, online marketing, risk management, social data, supply chain management, targeting direct marketing, uplift modeling (net lift), and other innovative applications that benefit organizations in new and creative ways. Click here to view the agenda at a glance.

I recently wrote a white paper on one of these topics, uplift modeling — access it here. My PAW keynote is on uplift modeling, as is this session from Fidelity.

Since predictive analytics in the financial sector is hot hot hot, we've introduced a new third track devoted to that topic. Click here to view the agenda overview.

TAW's agenda covers hot topics and advanced methods such as churn risk detection, customer service and call centers, decision support, document discovery, document filtering, financial indicators from social media, fraud detection, government applications, insurance applications, knowledge discovery, open question-answering, parallelized text analysis, risk profiling, sentiment analysis, social media applications, survey analysis, topic discovery, and voice of the customer. Click here to view the agenda at a glance.

Can I attend both the PAW and TAW conferences?

Predictive Analytics World and Text Analytics World run concurrently and are designed to work together. Cross-registration options are available.

PAW is October 16-21 — is it really six days long?

PAW's core conference program, which jams widely diverse sessions into 3 tracks, is two days: October 19-20 — alongside Text Analytics World's sessions on the same two days. The other days include 9 pre- and post-conference full-day workshops — click here for details.

Where can I get an overview of the conference agendas?

You can see the complete PAW agenda and TAW agenda at a glance. Also download the complete PAW brochure and TAW brochure.

With PAW's 3 tracks and over 40 speakers, plus TAW's sessions, how do I choose which sessions to attend?

There are a lot of aspects to guide which session to attend: the industry sector, level (expert practitioner or all-audiences), brand name leading company, business application (churn modeling, fraud detection, credit scoring, etc.), core analytical method, and data source (social data, textual data, etc.)

Industry sector or vertical is only one of many aspects to consider. So, for example, you may spend a lot of time in Track 3 — Financial Services — even if you're not in that industry; PAW and TAW accomplish loads of cross-industry sharing.

Finally, bring more people. Many delegates bring along colleagues to divide and conquer — an especially common technique across leading analytics groups. There's a discount for registering as a group — see the bottom of this email notification for details.

Who goes to Predictive Analytics World?

It's a healthy mix of expert practitioners and business leaders. Click here for the detailed breakdown of attendees.

Who is "Watson" and why is IBM Research keynoting at a non-research conference?

PAW and TAW are honored to have David Gondek, IBM Technical Lead, Watson presenting a joint keynote addres:

David C. Gondek
IBM Technical Lead, Watson
IBM Research
Keynote: Building Watson – An Overview of the DeepQA Project

Watson is IBM Research's computer, which defeated the all-time TV game show Jeopardy! champions. Beyond delivering a significant triumph of machine over man — and providing the most entertaining temptation to anthropomorphize a computer ever — this is an monumental step in R&D that has demonstrated the potential of ensemble models, a hot method in predictive analytics, and has achieved a new level of machine competency working with textual data — both in processing the game show trivia questions themselves, as well as the massive stores of textual data such as Wikipedia employed by Watson as its sources of knowledge.

It was huge when IBM Research's "Deep Blue" system beat Kasparov at chess in 1997, and it was huge once again when Watson triumphed earlier this year — more huge, in fact.

How is predictive analytics different from forecasting?

Predictive analytics is something else entirely, going beyond standard forecasting by producing a predictive score for each customer or other organizational element. In contrast, forecasting provides overall aggregate estimates, such as the total number of purchases next quarter. For example, forecasting might estimate the total number of ice cream cones to be purchased in a certain region, while predictive analytics tells you which individual customers are likely to buy an ice cream cone.

Predictive Analytics World events include select sessions on forecasting — such as this one on demand forecasting — since it is a closely related area, and, in some cases, predictive analytics is used as a component to build a forecast model.

I'm completely new to predictive analytics – where can I learn more?

Check out the Predictive Analytics Guide for articles, training options and resources.

What is text analytics?

Text analytics — the topic of Text Analytics World — leverages and learns from massive quantities of textual data to reveal customer intentions and sentiment, driving enterprise decisions and providing strategic insights. It is a set of analytical methods designed to operate across the written word, including call center notes, blogs, tweets, web pages, newspaper articles and much more. This kind of data is strongly distinct from that stored uniformly in database tables, and demands unique technology that integrates linguistics, grammar, math and knowledge engineering.

Read more from the general Predictive Analytics World FAQ:


Register Now!

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September 6th 2011

PAW for Government Next Week in Washington, DC– Last Chance to Register

This week is your last chance to register for PAW-Gov!

Predictive Analytics World for Government is just a few days away

Predictive Analytics World for Government, September 12-13, the first vendor-neutral predictive analytics conference for the government, offers a powerful line-up of top government experts and topics including:

David Williams

Keynote: Pursuit through Cyberspace – Predictive Analytics
David Williams

Inspector General, USPS OIG

 

John F. Elder

Keynote: Leading Government Agencies Employ Predictive Analytics & Text Mining to Streamline Processes, Reduce Fraud, and Find Threats: Case Studies from Treasury, SSA, DOD, DHS, and a Federal OIG
John F. Elder
CEO, Elder Research, Inc., and General Chair, PAW-Gov

 

Darrell Issa

Keynote: Fighting Waste, Fraud and Abuse with DATA
Congressman Darrell Issa, (R-CA)
Chairman of the House Committee on Oversight and Government Reform

 

Earl Devaney

Keynote: Transparency and Analytics: Valuable Tools to Help Drive Accountability
Earl Devaney

Chairman, Recovery Accountability and Transparency Board

 

IRS Predictive Analytics Panel

Patricia McGuire


Patricia McGuire

Deputy Director, Research, Analysis, and Statistics, Internal Revenue Service

John Kam John Kam
Senior Analyst, Office of Research, Internal Revenue Service
Melissa Laine Melissa Laine
Analyst, Office of Research, Analysis, and Statistics (RAS), Internal Revenue Service

 

US Department of Agriculture Risk Management Agency's Crop Insurance Data Mining Program

Bertus Little


Dr. Bertis Little

Professor of Computer Science and Mathematics, Tarleton State University

 

Fighting the Good Fraud Fight:  USPS OIG Contract Fraud Detection
Antonia de Medinaceli


Antonia de Medinaceli

Director of Business Analytics and Fraud Detection, Elder Research, Inc.

Bryan Jones Bryan Jones
Director, Data Mining Group, USPS OIG, Office of Investigations

 

Dean Abbott

Predictive Modeling to Detect Fraud at DFAS
Dean Abbott

President, Abbott Analytics

Stephen Hollifield

Curbing Crime with Predictive Analytics
Stephen Hollifield

Information Services Manager, Richmond Police Department

Mohammad A. Adra Blame it on the Nerds: Using Predictive Analytics to Optimize Postal Facilities
Mohammad A. Adra
Assistant Inspector General, USPS OIG
Dr. Aaron J. Ferguson First Order Approximation Methodology (FOAM): What to Do When You Have 2.5 Yottabytes of Data to Analyze
Dr. Aaron J. Ferguson

Technical Director, Cyber and Information Analytics Office, National Security Agency (NSA)
 Dave Vennergrund Workforce Analytics: Predicting Retirement, Resignations, and More
Dave Vennergrund

Director of Business Analytics, Delta Solutions
Jeremy Todd Reed

Text Mining and Food Safety: Using Data to Proactively Protect the Nation's Food Supply 
Jeremy Todd Reed

Chief, Analytical Design Branch, Food Safety Inspection Service, USDA

David Buchanan

Targeted Grant Outreach and Effective Grants Management through Predictive Analytics
David Buchanan

Deputy Director, Office of Community Oriented Policing Services (COPS), U.S. Department of Justice

 

PAW-GOV's full program features case studies so you can witness how predictive analytics is applied by: Department of Justice (DOJ), IRS, USDA Risk Management Agency (USDA RMA), USDA Food Safety and Inspection Service (USDA FSIS), USPS Office of Inspector General (USPS OIG), Department of Homeland Security (DHS), Social Security Administration (SSA), Department of Defense (DOD), National Security Agency (NSA), NASA, Defense Finance and Accounting Service (DFAS), Recovery Accountability and Transparency Board, Richmond Police Department, Texas Comptroller of Public Accounts, Mexico Tax Administration Service, New South Wales Department of Transportation.

Register Now!

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September 6th 2011

Dr Elder's sell-out workshop set to return to London

 

Predictive Analytics World London (30 November to 1 December) is pleased to announce the return of the hugely popular post-conference workshop, "The Best and the Worst of Predictive Analytics" by Dr John Elder. This optional, one-day addition to the conference is taking place on 2 December and is only available to a maximum of 20 attendees. After selling out last year at the inaugural Predictive Analytics World London, it is strongly advised to book early to avoid disappointment.

Workshop:

The best and the worst of Preditive Analytics


Instructor:
John Elder Ph.D.
CEO & Founder,
Elder Research

Accepting that predictive analytics has already proven capable of enormous ROI across industries, Dr Elder takes a look into some of the tough questions that need addressing such as which core method for predictive modelling should be used and what best practices there are to guide you on your way. By describing the key inner workings of leading algorithms and demonstrating their performance through real-life business case studies, the workshop will help you to decide on which method and which tool is best suited to each predictive analytics project.

Click here to view the complete workshop description

Keynote on text mining: Workshop instructor John Elder will also deliver the keynote address, Text Mining: Lessons Learned

See the full Predictive Analytics World online agenda at a glance

Predictive Analytics Meets Marketing Optimisation

PAW London 2011 provides a unique opportunity to develop both your knowledge and your network in both predictive analytics and online marketing optimisation. Firstly, by co-locating with eMetrics Marketing Optimization Summit, the world's leading online marketing optimisation and web analytics conference, attendees have the opportunity to purchase combo passes, giving access to the sessions of both events. Secondly, the combined expo hall, as part of Data Driven Business Week, will include vendors from both the predictive analytics and online marketing optimisation field. Thirdly, don't miss the PAW sessions focussing exclusively on the use of uplift modelling to improve marketing including the opening day keynote by Dr Eric Siegel (Persuasion by Numbers: Optimise Maketing by Predicting it) and the special featured session by Nicholas Radcliffe, Founder and Director of Stochastic Solutions (Uplift Modelling: You Should Not Only Measure but Model Incremental Response).

Register NowRegister by 14th October to make savings of up to £200 on the price of a two day pass with the early bird pricing. With two tracks it is literally impossible for one person to take in all the content on offer so don't forget to bring along a colleague and combine the super early price with the "Bring the team" offer, saving you an additional £100 on the price of every additional team member registered.

 

 

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September 1st 2011

Early Bird Savings Ends Tomorrow – 2 Days of Content and Over 25 Sessions in NYC

Zubair Shams

Leveraging Unstructured Data for Business Impact

2 Days of Content and over 25 sessions

Text Analytics World NYC is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote addresses from:

John F. Elder IV, Ph.D
John F. Elder
CEO and Founder
Elder Research
Text Mining: Lessons Learned
David Gondek
David C. Gondek
IBM Technical Lead, Watson
IBM Research
Building Watson – An Overview of the DeepQA Project
Thomas Davenport
Thomas Davenport
President’s Distinguished Professor, Babson College
Author, Competing on Analytics
Every Day Analytics: Making Leading Edge Pervasive

Download the conference preview for an in-depth look at TAW's all-star speaker line up and array of case studies. Text Analytics World will be co-located alongside Predictive Analytics World, as a part of Data Driven Business Week, providing cross-registration options for access to a wide scope of leading analytical coverage and case studies.

Here's a sneak peak at some of the speakers featured at TAW NYC:

PayPal Identifying Customers Who Expressed Intend-to-Churn or Defect from Large Number of Surveyed Verbatim
Han Sheong Lai Han Sheong Lai
Director of Operational Excellence & VOC,
PayPal

Using Text Analytics to Accurately Segment Workers' Compensation Injuries
Zubair Shams Zubair Shams
Director of Product Development,
Accident Fund Insurance Company of America

Citibank Analyzing and Scoring Customer Problem Descriptions through Multi-focal Learning
Ramendra Sahoo Ramendra Sahoo
Director & Senior Vice President of Analytics,
Citibank
Hui Xiong Hui Xiong
Associate Professor,
Rutgers Business School

intuit Babies on Elephants: Hadoop and Text Analytics
Saikat Mukherjee Saikat Mukherjee
Ph.D., Senior Data Scientist,
Intuit Inc.

bundle New Insights from "Big Legacy Data": The Role of Text Analytics at Bundle.com
Alexander Hasha Alexander Hasha
Lead Data Scientist,
Bundle.com
Jaime Fitzgerald Jaime Fitzgerald
Founder & President, Fitzgerald Analytics

Mitchell1
Snap-on
Creating a $1 Million Data Source from Free Text
Michael Pooley Michael Pooley
President & General Manager,
Mitchell1

New Workshop: Hands-On Introduction to Text Analytics with IBM SPSS – Friday October 21st

TAW attendees will have the opportunity to hear first-hand how their peers and industry experts employ text analytics and what kind of business impact it delivers across a variety of industries – including automotive, educational, e-commerce, financial services, government, high technology, insurance, retail, social media, and telecom.

View Text Analytics World NYC Agenda and Session Details

Register before tomorrow and realize $400 in savings. Additional savings of $200 on the two-day conference pass when you register a colleague at the same time.

Register Now!

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September 1st 2011

7 Reasons You Should Attend PAW NYC – Early Bird Ends Friday

Predictive Analytics World NYC in 7 Weeks 
$200 in Early Bird Savings Ending this Friday

Here are 7 reasons you don’t want to miss Predictive Analytics World NYC, October 16-21, 2011:

  1. Witness case studies from organizations currently deploying predictive analytics such as Blue Cross, Citibank, Cox Communications, Fidelity, GE Capital, Intuit, LinkedIn, Match.com, Microsoft, Overstock.com, Paychex, Inc. and PayPal.
  2. Become inspired by keynotes from luminaries such as David C. Gondek, IBM Technical Lead, Watson, IBM, Thomas Davenport, President's Distinguished Professor, Babson College, Author,Competing on Analytics and Eric Siegel, Conference Program Chair of Predictive Analytics World.
  3. Increase your knowledge with in-depth workshops ranging from advanced predictive modeling methods, hands-on training, text analytics, a boot camp and full-day intro to R (the open source analytics system), enterprise decision management, user-friendly deployment, to introductions to predictive analytics and to business analytics.
  4. Bring predictive analytics to the forefront of your organization by bringing back real world examples and case studies of how other organizations are analyzing their data to maximize business performance.
  5. Become more valuable to your organization – advance your knowledge and expertise of black box trading, churn modeling, crowdsourcing, demand forecasting, ensemble models, fraud detection, healthcare, insurance applications, law enforcement, litigation, market mix modeling, mobile analytics, online marketing, risk management, social data, supply chain management, targeting direct marketing and uplift modeling (net lift).
  6. Learn about where predictive analytics is heading and what will be the next big thing with our 25 sponsors showcasing their latest products and services. Engage with leading providers who can answer all your questions about finding the right tools and technologies for your organization.
  7. Expand your network and contacts and share ideas with the brightest minds in the industry during networking breaks and lunches. By tapping into the knowledge of your peers you’ll be able to get valuable insight that will take your strategy to the next level.

     


Download the conference preview for an in-depth look at PAW's all-star speaker line-up and array of case studies. Predictive Analytics World will be co-located alongside Text Analytics World, as part of Data Driven Business Week, providing cross-registration options for access to a wide scope of leading analytical coverage and case studies.

Register Before September 2 and realize $200 in savings.  Additional savings of $200 on the two-day conference pass when you register a colleague at the same time.

Register Now!

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