· STAT), is implemented in JMP Pro. With CARF-STAT, the Marine Corps is able to more accurately and consistently predict CARF values and effectively develop long-term plans for

SEPTEMBER 17-18, 2012RONALD REAGAN BUILDINGAND INTERNATIONAL TRADE CENTER

W A S H I N G T O N D C

www.pawgov.com

Program by: Elder Research, Inc.

Produced by Prediction Impact, Inc. and Rising Media, Inc.

KEYNOTE SPEAKERS

PLENARY SPEAKER

Dean SilvermanDirector, Office of Compliance Analytics, Internal Revenue Service

Michael WoodExecutive Director, Recovery Accountability and Transparency Board

Peter BudettiDeputy Administrator and Director, Center for Program IntegrityCenters for Medicare and Medicaid Services

John F. ElderCEOElder Research, Inc.

RONALD REAGAN BUILDING AND INTERNATIONAL TRADE CENTER, WASHINGTON DC

© 2012 Rising Media, Inc. 2 www.pawgov.com

An Invitation

Table of ContentsAgenda Overview ...................................3

Workshop Overview ...............................5

Full Agenda ............................................6

Workshop Descriptions .......................10

Keynote Bios .........................................11

Hotel/Location ......................................12

Registration ..........................................13

Sponsors ................................................14

Sponsor Profiles ....................................15

Dear Government Analytical Leaders and Practitioners,

I invite you to join us for Predictive Analytics World for Government, the leading vendor-neutral conference designed to help government executives and managers apply modern predictive modeling technology to more effectively accomplish their mission.

Predictive Analytics World for Government focuses on concrete examples of deployed predictive analytics. The leading agencies have signed up to tell their stories, so you can hear an insider’s perspective on precisely how government practitioners deploy predictive modeling, and what kind of impact analytics delivers.

PAW-Gov’s 2nd annual conference features case studies from over 15 federal agencies including the Internal Revenue Service, Recovery and Accountability Board, Centers for Medicare and Medicaid Services, Department of Labor, Central Intelligence Agency, USPS Office of Inspector General, Department of Homeland Security, Social Security Administration, U.S. Marine Corps, General Services Administration, U.S. Coast Guard, National Security Agency, and the Pacific Northwest National Laboratory.

Join us at Predictive Analytics World for Government and access the premier keynotes, sessions, workshops, exposition, expert panel, reception, lunches, and networking events.

John F. Elder, Ph.D.CEO, Elder Research, Inc.General Chair, Predictive Analytics World for Government



DAY 1: Monday, September 17, 20127:15-8:15am Registration & Breakfast Sponsored by:

8:15-8:30amWelcome Remarks

Isaiah Goodall, Director of Business Development, Elder Research, Inc. and Program Chair, Predictive Analytics World for Government

8:30-9:15am Keynote To Be Announced

9:15-10:00amSpecial Plenary Session

Becoming an Ace with a Robot as your Wingman! John Elder, Ph.D., CEO, Elder Research, Inc.

10:00-10:30am To Be Announced

10:30-11:05am Break Sponsored by:

Track 1 Track 2

11:05am-12:05pm

DHS Panel: Strategy & Policy of Data Analytics

David Kaufman, Director of Policy and Program Analysis, FEMA; Tom Finan, Senior Cybersecurity

Strategist & Counsel, National Protection Programs Directorate (NPPD); Val Stoyanov, Reporting and

Analysis Program Manager, National Cyber Security Division (NCSD)

IRS Panel: Strategic Workforce Analytics Tool at IRS

Tommy Smith, Director of OPERA, IRS; Emily Shammas, Operations Research Analyst, IRS;

Jonathan Edelson, Office of Research, Analysis and Statistics, IRS; Rahul Tikekar, IRS

12:05-1:15pm Lunch Sponsored by:

1:15-2:00pm Keynote Dean Silverman, Senior Advisor to the Commissioner and Director, Office of Compliance Analytics, IRS

2:00-2:30pm

New Methods for Developing Limited Datasets for Predicting USMC Combat Losses JMP, Booz Allen, and USMC

Captain Aaron D. Burciaga, Director of Logistics Operations Analyses (LX), Installations and Logistics Department, USMC Headquarters Pentagon

Track 1 Track 2

2:30-3:00pm

Audit Analytics: Prioritizing Audits of Facility Lease Renewals

Matt Miller, Office of Audit, USPS Office of Inspector General

Analytics Provides a Measurable Return on Investment at the IRS

Tip Clifton, CEO, Eastport Analytics, Inc.Kay Wolman, Chief of Intelligent Business Solutions,

Office of Research, Internal Revenue Service

3:00-3:35pm Break Sponsored by:

Agenda Overview



DAY 1 (Cont)

Track 1 Track 2

3:35-4:05pm

Maximizing CMS Data for Internal and External Users

Niall Brennan, Director, Office of Information Products and Data Analytics, Office of Enterprise Management,

Centers for Medicare and Medicaid Services (CMS)

5 Myths of Predictive Analytics Piyanka Jain, CEO, Aryng.com, Former

PayPal Business Analytics Head

4:05-5:15pm

Panel Discussion How to Start a Data Analytics Group

Moderator: Gerhard PilcherFred Walker, Technical Director, Counterintelligence Knowledge Management, NSA; Bryan Jones, Director,

Data Mining Group, USPS Office of Investigations; Holly Roller, Director of Forensic Audit, SIGAR; Johan Bos-Beijer, Director, Strategic Solutions Division, GSA

5:15-6:15pm Networking Reception

DAY 2: Tuesday, September 18, 20127:15-8:15am Registration & Breakfast Sponsored by:

8:15-9:00am Keynote Michael Wood, Executive Director, Recovery Accountability and Transparency Board

9:00-9:45amHealthcare Fraud - Detecting Workers’ Compensation Fraud with Predictive Analytics

Bryan Jones, Director, Data Mining Group, USPS Office of Investigations & Ingrid Petrakis, Claimant Fraud Specialist, Data Mining Group, USPS OIG, Office of Investigations

9:45-10:15am

Applying a Risk Intelligent Modeling (RIM) Approach to Financial Management Transformation

Lieutenant Commander Amy Florentino, US Coast Guard & Robert Gramss, Principal, Accounting, Valuation, and Analytics, Audit and Enterprise Risk Services (AERS), Deloitte & Touche LLP

10:15-10:50am Break

Track 1 Track 2

10:50-11:20amIntroduction to Establishing Proactive

Fraud Data AnalyticsHolly Roller, Director of Forensic Audit, SIGAR

Forecasting Housing Subsidy Need in an Uncertain Economy

Dave Vennergrund, Vice President, Business Analytics, Delta Solutions

11:25-11:55am To Be Announced

Preventing Catastrophic Incidents By Predicting Where They Are Most Likely To Occur And Why

Christopher Larmey, Assurance Systems, Pacific Northwest National Laboratory

Cindy Caldwell, ES&H Senior Technical Advisor, Pacific Northwest National Laboratory

12:00-1:00pm Lunch

Agenda Overview



DAY 2 (Cont)

1:05-1:50pmKeynote

Dr. Peter Budetti, Deputy Administrator Director, Center for Program Integrity Centers for Medicare and Medicaid Services

1:50-2:20pm

To Be Announced

2:20-2:30pm To Be Announced

2:30-3:05pm Break

Track 1 Track 2

3:05-3:45pm IBM Marketing Lab

GOT BOTS? A Machine Learning Technique For Effective Detection Of BotNets

Dr. Aaron Ferguson, Technical Director, Cyber and Information Analytics Office,

National Security Agency (NSA)

3:50-4:50pm

Panel Discussion: Predictive Analytics from the CTO PerspectiveModerator: Gerhard Pilcher

Hamid Ouyachi, Department of Labor; Larry Koskinen, CTO, USPS Office of Inspector General; Gus Hunt, Central Intelligence Agency (CIA)

4:50-5:00pm Closing Remarks

Post-Conference Workshop

Wednesday, September 19, 2012The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes

John Elder, Ph.D., CEO, Elder Research, Inc.

Agenda Overview



Full Agenda

Monday, September 17, 2012

7:15-8:15am

Registration & Breakfast Sponsored by:

8:15-8:30am

Welcome RemarksSpeaker: Isaiah Goodall, Director of Business Development, Elder Research, Inc. and Program Chair, Predictive Analytics World for Government

8:30-9:15am

Keynote To Be Announced

9:15-10:00am

Special Plenary Session: Becoming an Ace with a Robot as your Wingman!

Dr. John F. Elder, CEO, Elder Research, Inc.

10:00-10:30am

To Be Announced

10:30-11:05am

Break Sponsored by:

11:05am-12:05pm

Track 1

DHS Panel: Strategy & Policy of Data AnalyticsSpeakers: David Kaufman, Director of Policy and Program Analysis, FEMA

Tom Finan, Senior Cybersecurity Strategist & Counsel, National Protection Programs Directorate (NPPD)

Val Stoyanov, Reporting and Analysis Program Manager, National Cyber Security Division (NCSD)

Track 2

Strategic Workforce Analytics Tool at IRSThe IRS has developed a strategic workforce planning tool for the agency. We have modeled both workforce supply and workload demand and forecasted both through the next 5 to 10 years. The workforce supply models cover over 100,000 employees distributed among over 500 cities thoughout the country.

The models forecast future employee attrition and movement within IRS business units, workstreams, and positions using statistical equations and probability matricies. The workload demand models forecast future tax administration demands on the Service across 19 major workstreams. We aligned the models using FTE multipliers to estimate future workload coverage scenarios.

Speakers: Tommy Smith, Director of OPERA, IRS

Emily Shammas, Operations Research Analyst, IRS

Jonathan Edelson, Office of Research, Analysis & Statistics, IRS

Rahul Tikekar, IRS

12:05-1:15pm

Lunch Sponsored by:

1:15-2:00pm

Keynote Dean Silverman, Senior Advisor to the Commissioner and Director, Office of Compliance Analytics, IRS

2:00-2:30pm

New Methods for Developing Limited Datasets for Predicting USMC Combat Losses – JMP, Booz Allen, and USMCWith the planned decreases to the overall Department of Defense budget, there is an increasing emphasis on achieving more efficient net asset management throughout all services. The recalculation of key variables used for the development of the USMC’s War Reserve Material Requirement provides an opportunity to reduce total Marine Corps ground equipment liabilities while still ensuring the enterprise has the combat-essential equipment necessary to conduct operations. Predictive modeling of ground equipment combat losses observed in Operation Iraqi Freedom (OIF) and Operation Enduring Freedom (OEF) is explored to develop replacement rates or Combat Active Replacement Factors (CARF). The resulting interactive predictive modeling capability, called CARF Statistical Analysis Tool (CARF-STAT), is implemented in JMP Pro. With CARF-STAT, the Marine Corps is able to more accurately and consistently predict CARF values and effectively develop long-term plans for budget and equipment replacement.

Speaker: Captain Aaron D. Burciaga, Director of Logistics Operations Analyses (LX), Installations and Logistics Department, USMC Headquarters Pentagon



2:30-3:00pm

Track 1

Audit Analytics: Prioritizing Audits of Facility Lease Renewals The US Postal Service actively manages over 25,000 leases and must renew about 4,000 of the leases each year. Most of the 4,000 leases have 24 or more months remaining on their lease term. Analytics is used to prioritize the leases for renewal review and assist in audit planning by highlighting areas or controls that are outside of normal operating conditions.

The resulting models can be continuously scored to highlight unexpected changes that might trigger an audit outside of the annual plan and the results can be used to support management initiatives and measure their effectiveness over time. Compared with typical fraud models that are focused on transactions or individual entities, audit models are focused on a collection of entities or behaviors of entities associated with operational controls.

Speaker: Matt Miller, Office of Audit, USPS Office of Inspector General

Track 2

Analytics Provides a Measurable Return on Investment at the IRS As taxpayer data expands, the IRS Large Business & International (LB&I) division is tasked with uncovering increasingly complex abusive transactions and detecting emergent evasion patterns before they succeed. Using innovative analytic capabilities developed within the IRS Intelligent Business Solutions (IBS) Advanced Research Lab (ARL), LB&I has leveraged the power of analytics to identify international tax frauds. Results thus far have returned $21 to the Treasury for each $1 invested.

Speakers: T.E. Clifton, CEO, Eastport Analytics, Inc

Kay Wolman, Chief of Intelligent Business Solutions, Office of Research, Internal Revenue Service

3:00-3:35pm

Break Sponsored by:

3:35-4:05pm

Track 1

Maximizing CMS Data for Internal &External Users This session will provide an overview of the ways in which CMS is employing advanced analytics and data mining to target problem areas and develop interventions. The session will also discuss efforts CMS is undertaking to provide more and better data and information products to external users.

Speaker: Niall Brennan, Director, Office of Information Products and Data Analytics Office of Enterprise Management; Centers for Medicare and Medicaid Services (CMS)

Track 2

5 Myths of Predictive Analytics Speaker: Piyanka Jain, CEO, Aryng.com, Former PayPal Business Analytics Head

4:05-5:15pm

Panel Discussion: How to Start a Data Analytics Group Moderator: Gerhard Pilcher

Speakers: Bryan Jones, Director, Data Mining Group, USPS Office of Investigations

Fred Walker, Technical Director, Counterintelligence Knowledge Management

Holly Roller, Director of Forensic Audit, CIGAR

Johan Bos-Beijer, Director, Strategic Solutions Division, GSA

5:15-6:15pm

Networking Reception

Full Agenda



Tuesday, September 18, 2012

7:15-8:15am

Registration & Breakfast Sponsored by:

8:15-9:00am

Keynote Michael Wood, Executive Director, Recovery Accountability and Transparency Board

9:00-9:45am

Healthcare Fraud - Detecting Workers’ Compensation Fraud with Predictive Analytics

Speakers: Bryan Jones, Director, Data Mining Group, USPS Office of Investigations

Ingrid Petrakis, Claimant Fraud Specialist, Data Mining Group, USPS OIG, Office of Investigations

9:45-10:15am

Applying a Risk Intelligent Modeling (RIM) Approach to Financial Management Transformation

The United States Coast Guard (USCG) is engaged in a multi-year financial management transformation project to create world-class accounting, business information and financial processes. In this session, you will learn how the USCG used a RIM approach to develop accounting estimates with sufficient monetary precision and rigor to be acceptable to financial accountants and auditors. Leveraging exploratory data analytics, sophisticated risk-based statistical sampling and regression techniques, the USCG was able to estimate account balances to work around inaccurate and inconsistent system records. Additionally, RIM was used to sustain remediation efforts, drive process and internal control improvements.

Speakers: Lieutenant Commander Amy Florentino, US Coast Guard

Robert Gramss, Principal, Audit and Enterprise Risk Services (AERS), Deloitte & Touche LLP

10:15-10:50am

Break

10:50-11:20am

Track 1

Introduction to Establishing Proactive Fraud Data Analytics Data, data, data. In today’s world, everything is data. This session will discuss how to identify various data sets that can be utilized within your agency to create a robust proactive fraud detection program and implementation of continuous monitoring initiatives. The discussion will cover how to weed out false-positives using risk-scoring methodologies and will review challenges and keys to success to establishing a proactive forensic team, as well as lessons learned through real-world experiences within the private sector and Inspector General environments. Key topics include:

•What is Data Mining, Who Uses it, and How Can it be Used?•Real-World Examples of Proactive Fraud Analytics•Data Mining Tools•Establishing a Proactive Data Analytic Team

- Challenges including management buy-in, organizational support, acquiring clean and accurate data, and eliminating false positives

- Defining success

Speaker: Holly Roller, Director of Forensic Audit, SIGAR

Track 2

Forecasting Housing Subsidy Need in an Uncertain Economy The US Department of Housing and Urban Development (HUD) has the mission is to create strong, sustainable, inclusive communities and quality affordable homes for all. One of its program provides housing to individuals through contracts with renters of large multi-family units (e.g. apartment complexes) who agree to rent to qualified tenants under a long term contract. The rents for individual units are set by a contract that may run many years. HUD will subsidy these rents based on a tenants ability to pay. As the tenants income varies, so too does the subsidy need.

Whenever department budgets are submitted to congress, or incremental funding in needed, HUD Multi-family budget analysts must forecast the total subsidy needed for more than 17,000 contracts that supply over 1 million units to more than 2.2 million tenants. Over the past year, HUD has integrated its contract, tenant, cost, and other data to create a budget forecasting tool that accurately forecasts that need. Articulated with a range of options and parameters the integrated Budget Forecasting Model (iBFM) is a critical tool in the ever-changing budget formulation process.

Full Agenda



The forecasting models include time-series forecasting, regression models, and data mining-based predictive models based on macro-economic data combined with housing unit descriptions and tenant demographics.

Speaker: Dave Vennergrund, Director of Business Analytics, Delta Solutions

11:25-11:55am

Track 1 To Be Announced

Track 2

Preventing Catastrophic Incidents By Predicting Where They Are Most Likely To Occur And Why What if you could predict where a serious incident is most likely to occur and why in plenty of time to prevent it from happening? That is exactly what we are trying to do at the Pacific Northwest National Laboratory (PNNL). We mined a diverse set of existing data sources focusing on those that could provide information about workgroups in three key areas: past operational experience, staff engagement, and exposure to severe hazards. We then used statistical analysis and predictive modeling tools to process all the data and identify the workgroups at highest risk for a significant operational event.

Speakers: Christopher Larmey, Assurance Systems, Pacific Northwest National Laboratory

Cindy Caldwell, ES&H Senior Technical Advisor, Pacific Northwest National Laboratory

12:00-1:00pm

Lunch

1:05-1:50pm

Keynote

To Be Announced

Dr. Peter Budetti, Deputy Administrator Director, Center for Program Integrity Centers for Medicare and Medicaid Services

1:50-2:20pm

To Be Announced

2:20-2:30pm

To Be Announced

2:30-3:05pm

Break

3:05-3:45pm

Track 1

IBM Marketing Lab

Track 2

GOT BOTS? A Machine Learning Technique for Effective Detection Of BotNets

Botnets are one of the most sophisticated and popular types of cyber warfare today. They allow hackers to take control of hundreds of computers at a time, and turn them into ”zombies” to spread viruses and perform other computer and network infrastructure-crippling activities. Using a Botnet case study, we describe implementation of a Quality Threshold Clustering (QTC) approach to distinguish between Botnet IRC traffic and real IRC traffic. Additionally, this session will: (a) compare results to a K Nearest Neighbor clustering approach; and (b) propose a computer network defense analytic strategy for Botnet detection and mitigation.

Speaker: Dr. Aaron Ferguson, Technical Director, Cyber and Information Analytics Office, National Security Agency (NSA)

3:50-4:50pm

Panel Discussion: Predictive Analytics from the CTO Perspective Moderator: Gerhard Pilcher

Speakers: Hamid Ouyachi, Department of Labor; Larry Koskinen, CTO, USPS Office of Inspector General; Gus Hunt, Central Intelligence Agency (CIA)

4:50-5:00pm

Closing Remarks

Full Agenda



Workshop Description

Wednesday, September 19, 2012

The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining MistakesInstructor: Dr. John F. Elder, Chief Scientist, Elder Research, Inc.

A free copy of John Elder’s book Statistical Analysis and Data Mining Applications is included.

Intended AudienceInterested in the true nuts and bolts

Knowledge LevelFamiliar with the basics of predictive modeling.

Attendees will receive an electronic copy of the course notes via USB drive.

Workshop DescriptionPredictive analytics has proven capable of enormous returns across industries – but, with so many core methods for predictive modeling, there are some tough questions that need answering:

• How do you pick the right one to deliver the greatest impact for your business, as applied over your data?

• What are the best practices along the way?

• And how do you avoid the most treacherous pitfalls?

This one-day session surveys standard and advanced methods for predictive modeling. Dr. Elder will describe the key inner workings of leading algorithms, demonstrate their performance with business case studies, compare their merits, and show you how to pick the method and tool best suited to each predictive analytics project. Methods covered include classical regression, decision trees, neural networks, ensemble methods, uplift modeling and more.

Full Day Workshop 9:00am - 4:30pm

The key to successfully leveraging these methods is to avoid “worst practices”. It’s all too easy to go too far in one’s analysis and “torture the data until it confesses” or otherwise doom predictive models to fail where they really matter: on new situations.

Dr. Elder will share his (often humorous) stories from real-world applications, highlighting the Top 10 common, but deadly, mistakes. Come learn how to avoid these pitfalls by laughing (or gasping) at stories of barely averted disaster.

If you’d like to become a practitioner of predictive analytics – or if you already are, and would like to hone your knowledge across methods and best practices, this workshop is for you!

What you will learn

• The tremendous value of learning from data

• How to create valuable predictive models for your business

• Best Practices by seeing their flip side: Worst Practices

Schedule• Workshop starts at 9.00am

• First AM Break from 10:00 - 10:15

• Second AM Break from 11:15 - 11:30

• Lunch from 12:30 - 1:15pm

• First PM Break from 2:00 - 2:15

• Second PM Break from 3:15 - 3:30

• Workshops ends at 4:30

Attendees receive a free copy of John Elder’s book Statistical Analysis and Data Mining Applications, an electronic copy of the course notes via USB drive, and an official certificate of completion at the conclusion of the workshop.



Dr. Peter BudettiDeputy Administrator and Director, Center for Program Integrity Centers for Medicare and Medicaid Services

Dr. Peter Budetti is Deputy Administrator for Program Integrity of the Centers for Medicare and Medicaid Services (CMS), US Depart-ment of Health and Human Services, and Director of the CMS Center for Program Integrity. He has principal responsibility for program integrity policies and operations in the Medicare and Medicaid Programs. Before joining CMS, Dr. Budetti worked in a number of health care positions in government and the private sector. Dr. Budetti’s previous government service includes six years as Counsel, Subcommittee on Health and Environment, U.S. House of Representatives, under the Chairmanship of Congressman Hen-ry A. Waxman. He was also a member of the professional staff, Senate Finance Committee, under the Chairmanship of Sena-tor Daniel Patrick Moynihan and was a core legislative drafter for President Bill Clinton’s Health Security Act. In his academic life, he founded and directed health policy research centers and held tenured professorships at Northwestern University and The George Washington University, and was a member of the faculty of the Philip R. Lee Institute for Health Policy Studies, University of California, San Francisco. Immediately before his appointment at CMS in February, 2010, Dr. Budetti had been the Edward E. and Helen T. Bartlett Foundation Professor of Public Health, De-partment of Health Administration and Policy, College of Public Health, University of Oklahoma, for over six years. During the 2009-2010 academic year he was on sabbatical, working with the National Association of Insurance Commissioners in Wash-ington, D.C., on antifraud initiatives. Dr. Budetti was a member and long-time Chairman of the Board of Directors of Taxpayers Against Fraud (TAF), a nonprofit, public interest organization dedicated to combating fraud against the Federal Government. Dr. Budetti’s medical degree is from Columbia University College of Physicians and Surgeons. He holds a law degree from Boalt Hall, University of California, Berkeley and an undergraduate de-gree from the University of Notre Dame. A board-certified pe-diatrician and member of the California Bar (inactive), he was elected to the National Academy of Social Insurance in 1996. He is married and has two grown children, a son- and daughter-in-law, four grandsons, three granddaughters, and two small doggies.

Dean SilvermanDirector of Office of Compliance Analytics IRS

Mr. Silverman is currently Senior Advisor to the Commissioner at the IRS and lead executive for the Office of Compliance Analyt-ics. He joined the IRS in January 2011 in response to the Com-missioner’s priority to add data-driven analytic expertise and new thinking to core compliance activities. Prior to the IRS, Dean spent more than 25 years leading a series of strategy consulting firms known for analytic innovation and the development of value-driven corporate and business strategies. He began his career at Bain & Co., led Strategic Planning Associates (which spawned numerous methodologies and companies like Capital One), Mer-cer Management Consulting strategy and R&D operations world-wide, and his own strategy boutique. He has served on numerous Boards of Directors. He was a Senior Advisor at Oliver Wyman, as well as an assistant professor at the University of North Caro-lina, at both the MBA and undergraduate levels. Dean holds a BA, summa cum laude, from Yale and a JD from Columbia University School of Law.

Michael WoodExecutive DirectorRecovery Accountability and Transparency Board

Michael Wood is the Executive Director of the Recovery Account-ability and Transparency Board. He coordinates the Board’s ac-tivities working with OMB, Congress, federal agencies, the states, award recipients, and the public to ensure the Board carries out its transparency and accountability missions in overseeing the $840 billion dollar recovery program. Prior to this, he served as Director of Recovery.gov for two years. In that role he provided executive leadership for development and implementation of the Board’s award winning web systems, FederalReporting.gov and Recov-ery.gov. Among the many firsts for these systems was successful collection of sub-recipient information and the first government wide system migrated to a cloud environment. Mr. Wood has 34 years of experience with the federal government and has served as a senior executive in three agencies. He holds masters degrees in Technology Management and Environmental Biology.

Keynote Bios

To view all speaker bios, visit www.predictiveanalyticsworld.com/gov/2012/speakers.php



Predictive Analytics World Government

September 17-18, 2012Ronald Reagan Building and International Trade CenterAtrium Ballroom1300 Pennsylvania Avenue NWWashington, D.C. 20004 Phone: 202-312-1300

About the Ronald Reagan Building and International Trade CenterThe Ronald Reagan Building and International Trade Center is the largest building (3.1 million square feet) in Washington, DC, and is owned by the U.S. General Services Administration. As the first and only federal building dedicated to both government and private use, the Ronald Reagan Building and International Trade Center has been mandated by Congress to bring together the country’s best public and private resources to create a national forum for the advancement of trade. In addition, the building houses a premier conference and event center, executive office space, ample meeting and event facilities, dining opportunities and coordinates entertainment and programming.

Area HotelsJW Marriott Hotel Pennsylvania Avenue1331 Pennsylvania Avenue NorthwestWashington D.C., DC 20004(202) 393-2000www.jwmarriottdc.com

Willard Intercontinental Hotel1401 Pennsylvania Avenue NorthwestWashington D.C., DC 20004(202) 628-9100www.intercontinental.com

Harrington Hotel436 11th Street Northwest Washington, DC 20004 www.hotel-harrington.com

Hilton Garden Inn Washington DC Downtown815 14th Street Northwest Washington, DC 20005 www.hiltongardeninn.com

W Washington DC515 15th Street NorthwestWashington D.C., DC 20004(202) 661-2400www.whotels.com

Hotel/Location



Early Bird ENDS

AUG 17

Regular Price ENDS

SEP 15Onsite Price

Government Employee - Two Day Conference Pass Monday 9/17 & Tuesday 9/18

$497.50 $597.50 $647.50

Private Industry / Contractor - Two Day Conference Pass Monday 9/17 & Tuesday 9/18

$895.00 $1,095.00 $1,195.00

Government Employee - One Day Conference Pass Monday 9/17 or Tuesday 9/18

$300.00 $360.00 $390.00

Private Industry / Contractor - One Day Conference Pass Monday 9/17 or Tuesday 9/18

$540.00 $660.00 $720.00

Predictive Modeling Methods [Government Employee Price]Wednesday 9/19 (Full Day)

$447.50 $497.50 $497.50

Predictive Modeling MethodsWednesday 9/19 (Full Day)

$895.00 $995.00 $995.00

Bring the Team OfferEach additional attendee from the same agency / company registered at the same time receives an extra 25% off the Two Day Pass.

Cancellation PolicyPayment for Super Early Bird and Early Bird registrations is due within two weeks of the cut-off date for that price point. All other registrations must be paid at least one week prior to the conference. If you intend to pay by purchase order, it must be authorized by Predictive Analytics World in advance. Attendee substitutions are permitted without charge. Cancellations made on or prior to Friday, August 10, 2012 will incur a cancellation fee of $150. No refunds will be made for cancellations made after Friday, August 10, 2012.

If for reasons of Force Majeure the Event cannot take place as scheduled the Organizer reserves the right to reschedule the Event to a date and place of its choosing.

Terms and ConditionsThis event is open to business professionals 18 years and over only. Rising Media, Inc. may request a business card and photo ID prior to admission and reserves the right to refuse entry or remove anyone from the event.

While we endeavor to deliver the conference program as published Rising Media, Inc. reserves the right to make any changes it deems fit to the conference program. Occasionally speakers may cancel and/or topics may change and no guarantee is given that any given speaker or topic in the program will take place.

By registering for a Rising Media event, you agree to receive e-mail notifications about future Rising Media events and other Rising Media products and services. You may “unsubscribe” using the link in any e-mail received. Note: Your e-mail address will never be sold or rented to others.

Rising Media, Inc. reserves the right to use photographs of any event attendee in promotional materials.

Rising Media, Inc. assumes no liability for the acts of its suppliers nor for the safety of any event participant while traveling to or from this event. The total liability during the hours of the event will be limited to a refund of the delegate fee.

Video Policy: Sessions may be audio recorded without special permission but only for personal use. They cannot be placed online or transmitted to others without permission. Sessions may be videoed only with special permission for personal use and also cannot be placed online or transmitted to others. Short audio and video clips may be used for blogging and press coverage of session. As a general guide, non-contiguous clips of one minute or less should be used. Contact us if you need guidance about longer clips.

Questions about Registration?Email: [email protected] Phone: 717-798-3495

Registration



Thank You To Our Sponsors

GOLD SPONSORS

SILVER SPONSORS

BRONZE SPONSORS

ASSOCIATION PARTNER

MEDIA PARTNERS

Data Transparency CoalitionD



Sponsor Profiles

GOLD SPONSORS Deloitte

www.deloitte.com/us/pawdcFederal agencies turn to Deloitte for our industry expe-rience and advanced analytics capabilities. We look at organizations from the inside out to help translate data into meaningful information. By using tools that link data to the most mission-critical goals and by leveraging a variety of solutions across Deloitte’s technology, strat-egy and operations, human capital, financial advisory, and risk practices, we help agencies cultivate the ability to be proactive — even predictive. From headquarters to the back office to the front line, we work side by side with clients to design and implement their most strate-gic, complex initiatives to achieve higher levels of per-formance and service -- while managing risk and getting more value from compliance requirements. For years, we have helped our Federal clients achieve breakthroughs in performance, transparency, and accountability. Your mis-sion is our only agenda.

Learn more at www.deloitte.com/us/pawdc

Greenplum

www.greenplum.comBio is forthcoming

JMP

www.jmp.comJMP Pro, statistical discovery software from SAS, gives you the power of data visualization, exploration, statistical data analysis and data mining in an in-memory, desktop-

based environment. It dynamically links statistics with graphics to make information accessible in ways a spread-sheet never could, letting you explore relationships, see hidden trends and easily communicate your findings. JMP Pro, Version 10, our new release, adds model com-parison provisions for comparing fits across multiple fit predictions, one-click bootstrapping for most statistics in JMP reports and an advanced platform for partial least squares (PLS) regression with enhanced features. Import, process, model, and visualize data, even those with mil-lions of records, in just seconds.

SAS

www.sas.comMarkets are changing, and the complexity and volume of data is growing exponentially faster. More transpar-ent decisions, timelier actions, better resource utilization and continuous learning are vital to value creation. When faced with the need to do more with less, how do you effectively derive insights from the deluge of big data?

The leader in business analytics software and services, SAS® empowers organizations to make better decisions with the data they already have. SAS helps you focus on what matters now and what will happen in the future so that you can deploy results where and when they’re needed. SAS gives you THE POWER TO KNOW®.

With SAS Analytics software you can:

• Interactively visualize, explore and communicate data discoveries.

• Transform structured and unstructured data into fact-based insights for better decisions.

• Share and deploy compelling insights to take timely actions.

• Monitor results and facilitate continuous refinement of your analytic models.



SILVER SPONSORS SAP

www.sap.comSAP is setting a new standard for innovation and perfor-mance in the government with integrated solutions that apply database technology, business analytics, applica-tions, cloud computing and mobility to solve the public sector’s toughest challenges. Whether they are managing core government functions or delivering mission-critical operations, SAP’s integrated solutions help government leaders make better decisions, achieve superior financial and operational results, reduce costs, replace outdated processes with next generation programs, and empow-er citizens and employees to connect on premise, in the cloud or on a mobile device. SAP brings intelligent ideas to the government with integrated solutions that deliver results.

StatSoft

www.statsoft.comStatSoft, Inc., founded in 1984, is one of the largest producers of enterprise and desktop software for Data Analysis, Data Mining, Quality Improvement, and Web-enabled Analytics. Its products are used worldwide at most major corporations, universities, and government agencies and are supported with training and consulting services by 30 offices on all continents. STATISTICA En-terprise is a highly scalable, web-enabled platform, used by a variety of industries in mission-critical applications wherever predictive modeling helps increase productivity and profitability. The StatSoft platform has enjoyed un-precedented record of recognition from end-users (also, winning all major independent surveys of users) and re-viewers for more than two decades. These independent ratings show that while easier to use and more cost-effec-tive than its competitors, the StatSoft analytics platform offers unmatched performance, scalability, uncompromis-ing attention to detail and overall quality, which ensures success for its users.

BRONZE SPONSORS Acxiom

www.acxiom.comAcxiom is a recognized leader in marketing services and technology that enable marketers to successfully manage audiences, personalize consumer experiences and create profitable customer relationships. Our superior industry-focused, consultative approach combines consumer data and analytics, databases, data integration and consulting solutions for personalized multichannel marketing strate-gies. Acxiom leverages over 40 years of experience in data management to deliver high performance, highly secure, reliable information management services. The skills and dedication of our employees transformed Acxiom from a small data processing company into a market leader. Founded in 1969, Acxiom is headquartered in Little Rock, Arkansas, USA, and serves clients around the world from locations in the United States, Europe, Asia-Pacific, the Middle East and South America. For more information about Acxiom, visit www.acxiom.com

FICO

www.fico.comFICO delivers superior predictive analytics solutions that drive smarter decisions. The company’s groundbreaking use of mathematics to predict consumer behavior has transformed entire industries and revolutionized the way risk is managed and products are marketed. FICO’s innovative solutions include the FICO Score, along with industry-leading solutions for managing credit accounts, identifying and minimizing the impact of fraud, and cus-tomizing consumer offers with pinpoint accuracy.

Leading organizations worldwide rely on our business rules management, predictive analytics and optimiza-tion software solutions to accelerate growth, control risk, boost profits, and meet regulatory and competitive de-mands.

Sponsor Profiles



GCE

www.gcecloud.com/gce/For more than a decade, GCE has been an established industry leader in the development of innovative tech-nology solutions. The GCE Cloud offers a wide range of business services, including financial management, asset management, procurement, Big Data & analytics, and liti-gation support services.

The GCE Cloud is built upon a world-class technical infra-structure that ensures rapid scalability and reliability. GCE consistently delivers cutting-edge technology solutions to our customers – solutions that allow them to fully focus on their core missions and not be diverted by underlying, costly technology issues.

For more information, visit us at www.GCEcloud.com.

IBM

www.ibm.com/spssIBM Business Analytics software delivers complete, consis-tent and accurate information that decision-makers trust to improve business performance. A comprehensive port-folio of business intelligence, predictive analytics, finan-cial performance and strategy management, and analytic applications provides clear, immediate and actionable in-sights into current performance and the ability to predict future outcomes. Combined with rich industry solutions, proven practices and professional services, organizations of every size can drive the highest productivity, confident-ly automate decisions and deliver better results.

As part of this portfolio, IBM SPSS Predictive Analytics software helps organizations predict future events and proactively act upon that insight to drive better business outcomes. Commercial, government and academic cus-tomers worldwide rely on IBM SPSS technology as a com-petitive advantage in attracting, retaining and growing customers, while reducing fraud and mitigating risk. By incorporating IBM SPSS software into their daily opera-

tions, organizations become predictive enterprises – able to direct and automate decisions to meet business goals and achieve measurable competitive advantage.

For more information, visit www.ibm.com/spss

Oversight Systems

www.oversightsystems.comOversight Systems is a Continuous Analysis (CA) plat-form for Big Data that generates actionable insights and competitive advantage without requiring that manag-ers become analytics experts. These packaged business analytics convert active data such as financial transactions into plain-language alerts that drive smarter, faster de-cisions across the organization. Major federal and state agencies, including the US Department of Defense, the US Department of Education and the US Bureau of the Census, rely on Oversight solutions to stop duplicate or improper payments, achieve full budget audit and Fund Balance with Treasury, and monitor vendor lists to mini-mize fraud. Oversight is an SAP Endorsed Business Solu-tion and HANA co-innovation partner. Founded in 2003, Oversight Systems is privately held and headquartered in Atlanta, GA.

RTI

www.rti.orgRTI is an independent, nonprofit institute that provides research, development, and technical services to govern-ment and commercial clients worldwide. Our mission is to improve the human condition by turning knowledge into practice. Established in 1958 as the Research Trian-gle Institute, RTI has a distinguished history of scientific achievement in the areas of health and pharmaceuticals, education and training, surveys and statistics, advanced technology, international development, economic and social policy, energy and the environment, and laborato-ry testing and chemical analysis. RTI’s staff of more than 2,800 supports projects in more than 40 countries.

Sponsor Profiles



Salford Systems

www.salford-systems.comSalford Systems is an award-winning analytics software development and consulting company with a proven record of technical and practical excellence. We offer a highly accurate, ultra-fast predictive analytics and data mining platform for developing models from databases of any size, complexity, or organization. Our technologies span classification, regression, missing value analysis, and clustering/segmentation. Core components of our Sal-ford Predictive Modeler™ (SPM) platform include CART®, MARS®, TreeNet® and RandomForests®. Our automation accelerates the process of model building by conducting substantial portions of the model exploration and refine-ment process for the analyst. While the analyst is always in full control, we optionally anticipate the analyst’s next best steps and package a complete set of results from alternative modeling strategies for easy review. Appli-cations span fraud detection, credit scoring, market re-search segmentation, direct marketing, drug discovery and risk management. Industries using Salford Systems products and services include banking, insurance, health-care, telecommunications, transportation, manufactur-ing, and education.

Teradata

www.teradata.comData warehousing isn’t just about storage. And it’s not just about doing something with your data. It’s about doing more with your data. It’s about creating action-able information for the best decision possible. For more than 30 years, Teradata has been empowering the world’s leading organizations to make fact-based, data-driven confident decisions through integrated data and analyt-ics. Teradata’s 1400 customers include leaders across all industries that transform their data into actionable in-sights.

Only Teradata gives you the ability to integrate your data, optimize your business processes, and accelerate new in-sights like never before. The power unleashed from your data brings confidence to your organization and inspires leaders to think boldly and act decisively for the best decisions possible. Teradata enables federal and state agencies make better strategic and operational decisions through integrated data warehousing, big data analytics and analytics applications. Learn more at teradata.com.

YarcData

www.yarcdata.comYarcData delivers business-focused, real-time graph ana-lytics that enterprises can use to achieve game-changing breakthroughs through the discovery of unknown rela-tionships in Big Data. Purpose-built to solve Big Data graph problems, the uRiKA graph analytics appliance transforms Big Data into meaningful information in real time. uRiKA features 512 terabytes of global shared memory, mas-sively multithreaded graph processors and highly scalable I/O, creating a real-time graph analytics warehouse with unmatched scalability that supports ad hoc queries, pat-tern-based searches, inferencing and deduction. Adopters include the Institute of Systems Biology, the Mayo Clinic, Noblis, Sandia National Labs, the Canadian government, as well as multiple U.S. government deployments. Started as a division of Cray Inc. and building on its decades of high performance computing experience, the YarcData business is in the process of transitioning to a subsidiary, YarcData Inc. a Cray company. YarcData is based in the San Francisco Bay Area.

Sponsor Profiles



Association Partner INFORMSThe Institute for Operations Research and the Management Sciences

www.informs.orgThe Institute for Operations Research and the Manage-ment Sciences (INFORMS) is the largest professional so-ciety in the world for those in the field of operations research (O.R.), management science, and business analyt-ics. INFORMS serves the scientific and professional needs of Operations Researchers and Analytics Professionals including educators, scientists, students, managers, ana-lysts, and consultants. The Institute serves as a focal point for professionals, permitting them to communicate with each other and reach out to colleagues and the varied clientèle of the profession’s research and practice. Plan to attend INFORMS next Conference on Business Analytics and Operations Research, April 7-9, 2013, San Antonio, Texas.

Media Partners The Data Transparency Coalition

Data Transparency CoalitionD www.datacoalition.orgThe Data Transparency Coalition is the only trade associa-tion that advocates data reform for the U.S. government. The Coalition brings together companies, nonprofit orga-nizations, and individuals to support policies that require federal agencies to publish data online, using standard-ized, machine-readable, nonproprietary identifiers and markup languages.

FierceGovernment

www.fiercegovernment.comFierceGovernment tracks the latest developments and advancements in the U.S. government. Federal decision makers and private-sector industry executives rely on our website and free email newsletter for news on govern-ment collaboration, open government, Government 2.0, transparency, and telework advances implemented by government agencies.

FierceGovernmentIT

www.fiercegovernmentit.comFierceGovernmentIT tracks the latest technological devel-opments in the U.S. government. Federal employees and IT executives rely on our website and free email newslet-ter for news on cybersecurity, defense IT, network com-munication systems, open government and other IT ad-vances implemented by government agencies.

FierceHomelandSecurity

www.FierceHomelandSecurity.comFierceHomelandSecurity tracks the most recent and rel-evant developments in U.S. cybersecurity, border protec-tion, counterterrorism, surveillance, and more. Govern-ment leaders at the national, state, and local levels who are tasked with domestic national security visit our web-site and read our free email newsletter for critical insight and coverage of all aspects of homeland security. But FierceHomelandSecurity’s news coverage is not limited to just the daily headlines-our editors also produce compre-hensive special reports on the people, technologies, and processes that factor into the fulfillment of homeland se-curity agencies’ missions. Join thousands of your peers by signing up for FierceHomelandSecurity today!

Sponsor Profiles

EVENTS CALENDAR

www.risingmedia.com

Boston • Sep 30 - Oct 4, 2012Stockholm • Oct 15 - 16, 2012Düsseldorf • Nov 6 - 7, 2012Melbourne • Nov, 2012London • Nov 27 - 28, 2012Toronto • Mar 18 - 21, 2013San Francisco • Apr 14 - 18, 2013Chicago • June 2013

Melbourne • Aug 2012Ft. Lauderdale • Oct 9 - 11, 2012Stockholm • Oct 15 - 16, 2012Toronto • Mar 18 - 21, 2013München •�Apr 9 - 10, 2013

Boston • Sep 30 - Oct 4, 2012Düsseldorf • Nov 6 - 7, 2012London • Nov 27 - 28, 2012Toronto • Mar 18 - 21, 2013San Francisco • Apr 14 - 19, 2013Chicago • June 2013

Boston • Oct 3 - 4, 2012San Francisco • Apr 16 - 17, 2013

.....................

.....................

.....................

Chicago • Sep 27 - 28, 2012

Sydney • Sep 10 - 13, 2012Ft Lauderdale • Oct 28 - Nov 1, 2012

Helsinki • Oct 17 - 18, 2012Vancouver • Oct 2012


Boston • Oct 1 - 2, 2012

.......................

.......................

.......................

.......................

Ft. Lauderdale • Oct 9 - 11, 2012Düsseldorf • Nov 6 - 7, 2012London • Nov 27 - 28, 2012San Francisco • Apr 15 - 17, 2013Chicago • June 2013

London • Nov 15 - 16, 2012

London • Sep 19 - 20, 2012Berlin • Feb 2013

Hamburg • Nov 12 - 13, 2012

.....................

.....................

.....................

.....................

.....................


Ft. Lauderdale • Oct 9 - 10, 2012San Francisco • Apr 15 - 16, 2013Chicago • June 2013

Documents

· STAT), is implemented in JMP Pro. With CARF-STAT, the Marine Corps is able to more accurately and consistently predict CARF values and effectively develop long-term plans for