May 14-18, 2017
San Francisco, CA
Delivering on the promise of data science
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Speakers Predictive Analytics World San Francisco 2014
 Dean Abbott

Dean Abbott

Co-Founder and Chief Data Scientist

SmarterHQ

@deanabb

Dean Abbott is Co-Founder and Chief Data Scientist of SmarterHQ, and President of Abbott Analytics, Inc. in San Diego, California. Mr. Abbott is an internationally recognized data mining and predictive analytics expert with over two decades of experience applying advanced data mining algorithms, data preparation techniques, and data visualization methods to real-world problems, including fraud detection, risk modeling, text mining, personality assessment, response modeling, survey analysis, planned giving, and predictive toxicology.


Mr. Abbott is the author of Applied Predictive Analytics (Wiley, 2014) and co-author of IBM SPSS Modeler Cookbook (Packt Publishing, 2013). He is a highly-regarded and popular speaker at Predictive Analytics and Data Mining conferences and meetups, and is on the Advisory Boards for the UC/Irvine Predictive Analytics Certificate as well as the UCSD Data Mining Certificate programs.


He has a B.S. in Mathematics of Computation from Rensselaer (1985) and a Master of Applied Mathematics from the University of Virginia (1987).

Case Study: Data Preparation from the Trenches: 4 Approaches to Deriving Attributes
Workshop: Supercharging Prediction: Hands-On with Ensemble Models
Workshop: Advanced Methods Hands-on: Predictive Modeling Techniques
Expert Panel: Necessary Skills of the Quant Across Sectors

 Sweta Agrawal

Sweta Agrawal

Director, Analytics Centre of Excellence

Starcom Mediavest Group, India

Sweta Agrawal works with Starcom Mediavest Group's Analytics Centre of Excellence in India, driving analytical solutions for brands like Coca Cola, Samsung, Axis Bank, and Kotak Mahindra Bank. She has over 4 years of analytics experience in statistical analysis and predictive modeling. She has worked in the banking and IT sector in driving analytics for CRM initiatives. Her previous roles with Citibank and Hewlett Packard involved projects spanning purchase behavior, customer experience and social media analytics. Her previous works have been presented at the International Conference on Information & Communication Technologies & Applications 2011, Orlando and Predictive Analytics World 2012, Chicago. Sweta has a degree in Economics, and specialized in Quantitative Economics from the Indian Statistical Institute, Kolkata.

Case Study: Convergence Modeling across Paid, Owned and Earned Media for Measuring Business Effectiveness

 Benjamin Alamar

Benjamin Alamar

Advisor

Krossover Inc.

@benalamar

Benjamin Alamar is a Professor of Sport Management at Menlo College, Senior Analytics Consultant and Data Engineer for the Cleveland Cavaliers, and author of the Sports Analytics: A Guide for Coaches, Managers, and Other Decision Makers (August, 2013). He has consulted with a variety of teams in the NFL and NBA, including five seasons with the Oklahoma City Thunder and with a variety of companies in sports analytics. He has published numerous research studies in sports analytics and has written on sports analytics for outlets such as ESPN, Analytics Magazine, and the Wall Street Journal. Additionally, Professor Alamar is the founding editor of the Journal of Quantitative Analysis in Sports, the first peer-reviewed academic journal for research in sports analytics. You can follow him on twitter @benalamar.

Case Study: Why Steve Nash is My Nemesis: Finding the Missing Data

 Suresh Arumugam

Suresh Arumugam

Analytics Consultant, Global Analytics

Hewlett-Packard

Suresh Arumugam has around 6 years of professional experience in Business Consulting, Analytics and Software Development. He is part of HP ES IT Business Intelligence team and is responsible for predictive modeling and insights on Pipeline Optimization, Marketing Campaigns and Labor Strategy. Earlier Suresh worked with Communications & Media Services of HP ES and was responsible for providing analytical insights on the unit's sales pipeline. Suresh's innovative index based methodology developed at HP, to do market based pricing for IT/ ITES services in the absence of competitive price intelligence, is 'Patent Pending' with USPTO. Suresh holds Masters in Business Administration from IIM Bangalore. Before HP, Suresh worked with iGATE and TCS.

Case Study: Early Warning System for Deal Abandonment

 Nima Asgharbeygi

Nima Asgharbeygi

Tech Lead Manager

Google

Bio Forthcoming...

Case Study: Google Analytics Intelligence

 Natasha Balac, Ph.D.

Natasha Balac, Ph.D.

CEO and Founder

Data Insight Discovery, Inc

Natasha received her Master's and Ph.D. in Computer Science from Vanderbilt University with an emphasis in Data Mining from large data sets. Her dissertation focused on creating and applying novel data mining techniques to mobile robots and real time sensor data. She has been with UCSD since 2003. She has also led multiple collaborations across a wide range of organizations in industry, government and academia. She had founded and led the Predictive Analytics Center of Excellence at the Supercomputer Center until 2016. She is currently directing the Interdisciplinary Center for Data Data Science (ICData) at Calit2/Qualcomm institute and lectures at the computer Science Department. Dr. Balac has a number of large and multidisciplinary government and research funded projects including the Center for Medicaid and Medicare Services, NASA, NSF, CPUC, Smart Grid, Smart City, etc. Dr. Balac has founded and serves at the President and CEO of Data Insight Discovery, Inc. DID's charter is enabling businesses to discover actionable insight from vast amounts of data across verticals.

Case Study: Towards an Intelligent Smart Grid

 Aarti  Bharadwaj

Aarti Bharadwaj

Vice President, Analytics Centre of Excellence

Starcom Mediavest Group, India

Aarti Bharadwaj leads the Analytics practice for Starcom Mediavest Group in India, which provides analytics consulting to clients across India and South-East Asia. She has worked on marketing and media analytics for the past 4 years across brands like GSK, Kelloggs, HSBC, Castrol, Axis Bank, Coca Cola and Samsung. She has also worked in GroupM India driving the use of analytics to derive marketing insights for key clients. Prior to that, she has used quantitative techniques in research in the areas of Development Economics and Energy Economics. Her published work includes papers on demand forecasting for electricity, intellectual property rights and their impact on the economy. Aarti has a rich 12 years of experience in quantitative sciences, including research and teaching. She has a degree in Mathematics, and has specialized in Quantitative Economics from Indian Statistical Institute, Delhi.

Case Study: Convergence Modeling across Paid, Owned and Earned Media for Measuring Business Effectiveness

 Allen Bonde

Allen Bonde

VP of Product Marketing & Innovation

Actuate

Allen Bonde is VP of Product Marketing & Innovation at Actuate, an advisor to several start-ups, and a former digital media and Internet CMO. An early proponent of self-service apps and data-driven marketing, he has helped global leaders with their big data and customer experience strategies, and shares his perspectives as a contributor to Forbes.com, DM News, and Small Data Group – his top-rated blog.

Prior to joining Actuate he was Partner and Principal Analyst at Digital Clarity Group, a co-founder of social marketing pioneer Offerpop, and CMO and head of strategy at CRM consultancy eVergance (now KANA). He started his career as a researcher and data scientist in the telecom sector, and was part of teams at McKinsey and Yankee Group that did early work in online advertising and e-commerce.

Allen attended Brown University, and holds degrees from the University of Virginia and Worcester Polytechnic Institute. He enjoys suburban life with his wife, three teens, and poorly behaved Yellow Lab, is a big-time car guy, and plays a pretty mean bass guitar.

Sponsor Presentation: Think Fast, Think Small: Delivering the Power of Big Data Analytics for Everyday Tasks

 Randy Browning

Randy Browning

CEO

Blab, Inc.

Randy Browning is CEO of Blab, Inc., a startup patterning the world's conversations. Blab uses big data real-time processing to classify, contextualize and predict emerging trends in social conversations, enabling companies to take preemptive actions.

Randy's work and passion has always related to the art of influencing cultures. Before founding Blab, Randy was CEO of Publicis in the West for 10 years, leading the transformation of the agency to a global creative destination agency.

Previously Randy held various management positions at agencies, including McCann-Erickson and Wieden+Kennedy.

Lunch & Learn: Operationalizing Real-Time Marketing with Predictive Consumer Insights

 Marco Casalaina

Marco Casalaina

VP, Solution Management, Advanced Analytics

SAP AG

Marco Casalaina manages the go-to-market group for predictive analytics offerings from SAP, which include SAP Predictive Analysis software and the SAP InfiniteInsight solution.

In his role, Marco helps deliver predictive analytics solutions to more than 600 customers worldwide, including AAA, Allegro, Bank of America, Barclays, Belgacom, CBS Interactive, ING Direct, Lowe's, Meredith Corporation, Mobilink, Overstock.com, PT XL Axiata, RealNetworks, Rhapsody, Rockwell, Rogers, Sears, Shutterfly, Stage Stores, U.S. Cellular, and Vodafone.

Diamond Sponsor Presentation: Predictive Analytics for a Broad Spectrum of Users

 Anamitra Chaudhuri

Anamitra Chaudhuri

Senior Director, Insurance Analytics

Merkle

Anamitra is one the quantitative strategy leads for Mekle's Insurance and Wealth management practice and is responsible for solution design and providing best practice guidance around direct to consumer marketing strategy including targeting, segmentation, attribution, and measurement methodologies and design. Currently a Senior Director, Anamitra has been a core account team member on most of Merkle's marquee Insurance and healthcare insurance engagements and has designed innovative segmentation solutions to address CRM strategies for acquisition, customer optimization, and marketing mix optimization. Prior to joining Merkle, Anamitra spent almost 10 years with Experian's Marketing Solutions Group, most recently as a senior Strategic Consultant, responsible for guiding analytic CRM strategies for some of Experian's largest strategic clients across various verticals, notably, Insurance and Wealth Management, Financial, Retail, CPG, Travel & Entertainment, Publishing/Media and Automotive.

Case Study: Digital Lead Optimization in Insurance

 Sameer Chopra

Sameer Chopra

Chief Analytics Officer

Orbitz Worldwide

Sameer Chopra is Chief Analytics Officer (CAO) at Orbitz Worldwide, Inc., a leading global online travel company. He has almost 20 years of experience in applying data mining and predictive analytics across various business domains at both Fortune 500 firms and startups.

Before joining Orbitz, Sameer was in the senior leadership team of Intuit’s Small Business Group (SBG) where he led Marketing Analytics and Web testing. Prior to Intuit, Sameer was with eBay for many years where he served as Director of Analytics - working across different areas such as Internet Marketing, Fraud Detection, Global Site Experimentation etc. Sameer holds a Master’s degree in Operations Research from the Massachusetts Institute of Technology (MIT). He holds an undergraduate degree (Summa Cum Laude) in Mathematics with a minor in Computer Science from Allegheny College, where he graduated valedictorian.

Keynote: Blackjack Analytics: A Surprising Teacher from which All Businesses Can Learn

Dr. John Elder, Ph.D.

Dr. John Elder, Ph.D.

Founder & Chair

Elder Research

@johnelder4

John Elder chairs America’s most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Maryland, North Carolina, Washington DC, and London. Dr. Elder co-authored 3 award-winning books on analytics, was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. John is occasionally an Adjunct Professor of Systems Engineering at the University of Virginia.

Workshop: The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes

Dr. Andrew Fast

Dr. Andrew Fast

Chief Scientist

Elder Research

Dr. Andrew Fast leads the research and development of advanced data mining algorithms at Elder Research, the nation's leading data mining consultancy. ERI was founded in 1995 and has offices in Charlottesville VA and Washington DC,(www.elderresearch.com). ERI focuses on Federal, commercial, investment, and security applications of advanced analytics, including stock selection, image recognition, biometrics, process optimization, cross-selling, drug efficacy, credit scoring, risk management, and fraud detection.


Dr. Fast graduated Magna Cum Laude from Bethel University and earned Master's and Ph.D. degrees in Computer Science from the University of Massachusetts Amherst. There, his research focused on causal data mining and mining complex relational data such as social networks. At ERI, Andrew leads the development of new tools and algorithms for data and text mining for applications of capabilities assessment, fraud detection, and national security.


Dr. Fast has published on an array of applications including detecting securities fraud using the social network among brokers, and understanding the structure of criminal and violent groups. Other publications cover modeling peer-to-peer music file sharing networks, understanding how collective classification works, and predicting playoff success of NFL head coaches (work featured on ESPN.com). With John Elder and other co-authors, Andrew has written a book on Practical Text Mining that was awarded the prose Award for Computing and Information Science in 2012.

Workshop: Making Text Mining Work: Practical Methods and Solutions
Ask the Experts

 Josep Ferrandiz, Ph.D

Josep Ferrandiz, Ph.D

Sears Holdings

Josep Ferrandiz joined Sears HC in May 2013 where he is a Senior Data Scientist in the Data Sciences Lab. Josep's work includes the design of predictive customer engagement models, experimental design as well as system performance and prediction. Prior to joining Sears Holdings Corporation he was a Senior Manager at PayPal, at Oracle (Sun Microsystems) and at HP Labs. Josep holds a PhD from Columbia University and an MBA from San Jose State.

Case Study: Predictive Design of Marketing Campaigns

 Robin Glinton

Robin Glinton

Director of Data Sciences, for Data Sciences Labs, Information Analytics and Innovation

Sears Holdings

Robin Glinton is Director of Data Sciences, for Data Sciences Labs, Information Analytics and Innovation at Sears Holdings. In this role, Robin leads a team that develops innovative machine learning algorithms to support business activities. Robin previously conducted research in robotics at Carnegie Mellon University. During this time Robin authored over 30 refereed papers and journal articles in the fields of Artificial Intelligence and Machine Learning and implemented intelligent systems for a diverse group of organizations including DARPA, L3 Communications, and the Air Force. Robin holds advanced degrees from both Carnegie Mellon University and Cornell University in Computer Engineering.

Case Study: Predictive Design of Marketing Campaigns

 Andy Gray

Andy Gray

Business Insights Manager

Deloitte

Andy is the Data Assets Capability Director for Deloitte Australia and has more 15 years of analytics project experience across several countries. Coining the phrase Datostraficante (Data Trafficker) to describe his current focus, Andy's activities are increasingly geared towards data monetization and advocacy around the creative blending of diverse data sources to deliver an analytical edge.Specializing in customer, market and spatial analysis, Andy is a self-described 'ultralight quant' who uses storytelling to bring to life the power of predictive analytics for diverse internal and external clients.  

Case Study: Targeting Pre-Opening Marketing Actions: How Predictive Analytics Helped a Toll Road Operator Reduce Marketing Risk

 Mazhar Hussain

Mazhar Hussain

Global Leader, Big Data & Analytics

HP

Expert Panel: Necessary Skills of the Quant Across Sectors

 Piyanka Jain

Piyanka Jain

President & CEO

Aryng LLC

Piyanka Jain, President and CEO of Aryng - a management consulting company focused on Analytics and author of the upcoming Wiley book, "Behind Every Good Decision", is a well-regarded industry thought leader in analytics, keynoting at business and analytics conferences including American Marketing Association, Predictive Analytics World, GigaOm, Google Analytics User Conference on data driven decision making to gain competitive advantage. With her 15 years of experience in analytics, she has had 150M+ demonstrated impact on business. Aryng is a management consulting firm focused on Analytics; a unique partnership of analytics and management professionals, with decades of experience in Fortune 500 companies, conducting analytics, building and managing Business Intelligence and Analytics teams, delivering cumulative results in the $100s of millions. Aryng offers training, consulting and recruiting services to their clients to help build the organization's internal capability to use data as a competing advantage.

Case Study: The Top 3 Strategies for Setting Up an Analytics Center of Excellence

 Adam Kaufman

Adam Kaufman

President & CEO

DPS Health

Dr. Kaufman, President and CEO of DPS Health, is a pioneer of self-management support technology and solutions that drive patient behavior change and promote improved outcomes and reduced healthcare utilization. He has led the development, rollout and evaluation of solutions currently used by dozens of healthcare organizations that touch tens of thousands of patients daily. Dr. Kaufman completed his Ph.D. in Applied Economics with a focus on micro-economic models of health behavior choice from the University of Southern California. Prior to joining DPS Health as President and CEO, Adam was the General Manager of dLife's Healthcare Solutions division. Previously he was also an adjunct assistant professor in the Economics Department at the University of Southern California where he taught both health economics and econometrics.

Case Study: Predicting Ongoing Engagement with an Online Health Behavior Change Program

 Aasif Mohammad Kidwai

Aasif Mohammad Kidwai

Business Consultant, Corporate Strategy & Analytics

Hewlett-Packard

Aasif Mohammad Kidwai is a commerce graduate and also holds an MBA degree with specialization in Finance & Marketing. Presently working as a Business Consultant within HP's Corporate Strategy & Analytics group with over 5 years of experience in Research and Analytics. He is reponsible for Sales Planning, development and deployment of best practice analytics including insight, predictive models, segmentation and triggers for HP's Services business.

Case Study: Early Warning System for Deal Abandonment

 Daniel Kissin

Daniel Kissin

Sr. Analytics Manager

Expedia

Daniel Kissin is Sr. Analytics Manager at Expedia. Daniel spent last 6 years analyzing travel industry with Virtuoso and Expedia. Daniel is the author of the several travel forecasts for both corporate and leisure travelers. He is very passionate about recommending the right travel product to the right customers at the right time and making sure they keep coming back.

Daniel holds MBA degree from University of Washington, Bothell and B.Sc. in C.S. degree from City University of Seattle.

Case Study: Measuring the Value of TV Ads Online

 Yanni Kotziagkiaouridis

Yanni Kotziagkiaouridis

Vice President, Analytics Strategy Practice Lead Insurance and Wealth Management Analytics

Merkle

Yanni leads the analytics strategy team for Merkle's insurance, wealth management and nonprofit analytics practices. Over the past 15 years, Yanni has had the good fortune of working with clients like, AIG, GEICO, GMACI, Nationwide, 21st Century, Hartford Insurance, Blackrock, AARP, Chubb, Region, Citizens, PNC, BBVA, Assurant, S.G Komen, Arthritis Foundation, American Cancer Society and others.

Bringing 15 years in CRM Analytics Strategy with a focus on Customer Lifetime Value, and Customer Centricity, Yanni leads a dedicated team of highly specialized professionals in creating and articulating quantitative strategies and relevant solutions for Merkle's financial services, insurance and nonprofit clients. Yanni has extensive experience in managing large groups of diverse stakeholders and providing strategic leadership in the areas of CRM, marketing database management, direct response analytics, statistical modeling, segmentation and customer lifetime value measurement.

Case Study: Digital Lead Optimization in Insurance

 Mahesh Kumar

Mahesh Kumar

Founder & CEO

Tiger Analytics

Mahesh is the Founder and CEO of Tiger Analytics. He started Tiger Analytics with a desire to bring his experience in management science to help organizations achieve superior performance through the application of advanced analytics.Before founding Tiger Analytics, Mahesh was on the faculty of the Smith School of Business and Rutgers Business School.


Mahesh has conducted research in the areas of data mining and statistical modeling and has successfully applied his research to solve problems related to forecasting, pricing, promotions, and customer segmentation for a wide range of businesses across industries. Mahesh holds a Ph.D. in Operations Research and Marketing from MIT, and a B.Tech in Computer Science from IIT Bombay.

Case Study: Using Predictive Analytics to Improve ROI in Online Advertising

 Evelyn Lawson

Evelyn Lawson

Lead Statistician

Wells Fargo

Evelyn Lawson has fifteen year's experience across E*Trade, Charles Schwab and Wells Fargo, driving customer strategy using innovative advanced analytic tools. She has an MA in quantitative economics from the University of Waterloo University, an MBA from the University of Toronto and a graduate certificate in data mining from Stanford University. Evelyn is also a Chartered Financial Analyst.

Case Study: Using Time-Series Clustering to Understand Customer Behavior

 Ingo  Mierswa

Ingo Mierswa

Founder and CEO

RapidMiner

Dr. Ingo Mierswa, founder and CEO of RapidMiner, one of the world's most popular predictive analytics tools, is a data scientist who has authored numerous award-winning publications about predictive analytics and big data, and is a popular speaker at industry conferences and events.

 Philip O'Brien

Philip O'Brien

MIS and Portfolio Manager

Paychex

Philip O'Brien is responsible for the predictive analytics program at Paychex Inc., a leading provider of payroll, human resource, insurance, and benefits outsourcing solutions for small- to medium-sized businesses. The predictive analytics team at Paychex has implemented models to help with strategic decisions across all aspects of the business, including effectively targeting retention strategies, assisting in dynamic cross-sell initiatives, improving collection targets for bottom line results, and driving client service progression strategies.

Philip has been with Paychex for 15 years and has served in a leadership capacity within analytics for the past ten years. For well over a decade, Paychex has developed its predictive analytics program and has earned industry recognition for its leadership in the space. The predictive analytics function at Paychex continues to grow and add value across the organization, with more than 20 models divided between four portfolios: Operations, Sales, Risk, and Strategy.

Case Study: Collections: Every Penny Counts

 Gayatri Patel

Gayatri Patel

Director, Analytics Platform Strategy & PM

eBay

Gayatri manages eBay's Data and Analytics Platform Strategy. She is involved in strategic initiatives related to eBay's industry-leading data warehousing systems, map-reduce platforms, analytic products, business intelligence tools, collaboration portals, and fast analytics platforms. She has successfully launched over a dozen enterprise software products at leading organizations, such as Oracle and HP, and having founded an industry-leading complex-event processing (CEP) software company (now part of SAP), Gayatri has thrived for over 25 years on the challenge of matching innovation with high customer impact.

Case Study: Importance of Speed and Relevance to eBay and Our Big Data Strategies

 Daniel Porter

Daniel Porter

Co-Founder

BlueLabs

Daniel Porter is the cofounder of BlueLabs, a Washington DC based analytics, data and technology company whose clients include political campaigns, nonprofits and corporations.


Prior to founding BlueLabs, Daniel was Director of Statistical Modeling for the 2012 Obama reelection campaign. His team developed individual level statistical models that were used throughout the campaign for fundraising, media buying and state strategy. These models served two primary purposes: to pinpoint which voters were most likely to take an action or hold a belief (i.e. support the President or turn out to vote) as well as to measure the influence a campaign contact had on an individual's likelihood to take such actions or change their beliefs. Combined, these measures helped the campaign optimize their targeting to maximize their return on investment.

Case Study: Pinpointing the Persuadables: Convincing the Right Customers and the Right Voters

 Dan Putler

Dan Putler

Data Artisan in Residence

Alteryx

Dan Putler is the Data Artisan in Residence at Alteryx, the leading platform for strategic analytics. At Alteryx, Dan is responsible for developing and implementing the product road map for predictive analytics.

He has over 30 years of experience in developing predictive analytics models for companies and organizations that cover a large number of industry verticals, ranging from the performing arts to B2B financial services.

He is co-author of the book Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R, which is published by Chapman and Hall / CRC Press.

Prior to joining Alteryx, Dan was a professor of marketing and marketing research at the University of British Columbia's Sauder School of Business and Purdue University's Krannert School of Management.

Lunch & Learn: Predictive Analytics That Deliver Deeper Customer Insights in Hours, Not Weeks

 Pasha Roberts

Pasha Roberts

Co-Founder and Chief Scientist

Talent Analytics, Corp.

@pasharoberts

Pasha Roberts is chief scientist at Talent Analytics Corp., a company that uses data science to model and optimize employee performance in areas such as call center staff, sales organizations and analytics professionals. He wrote the first implementation of the company’s software over a decade ago and continues to drive new features and platforms for the company. He holds a bachelor’s degree in economics and Russian studies from The College of William and Mary, and a master of science degree in financial engineering from the MIT Sloan School of Management.

Case Study: A Data Science Approach to Reduce Call Center Attrition

 Greta Roberts

Greta Roberts

Co-Founder & CEO

Talent Analytics, Corp.

@GretaRoberts

Greta Roberts is an acknowledged influencer in the field of predictive workforce analytics. Her continued vision is to bridge the gap between the business, predictive analytics and workforce communities. Since co-founding Talent Analytics in 2001, Greta has established Talent Analytics, Corp. as the globally recognized leader in predicting employee performance, pre-hire.

In addition to being a contributing author to numerous predictive analytics books, she is regularly invited to comment in the media and speak at high end predictive analytics and business events around the world. Through recognition of her commitment and leadership, Greta was elected and continues to be Chair of Predictive Analytics World for Workforce. Additionally, she is a Faculty Member with the International Institute for Analytics (IIA) and an Analytics Certification Board Member of INFORMS.

Expert Panel: Necessary Skills of the Quant Across Sectors

 Chiranjiv Roy

Chiranjiv Roy

Analytics Consultant, Global Analytics

Hewlett-Packard

Chiranjiv Roy has around 8 years of experience in Business Consulting, Data Mining and Advanced Analytics across Banking, Financial Services and IT. As a consultant for HP ES IT Business Intelligence & Optimization, he delivers analytics services and solutions to complex business problems in HP ES. His main responsibilities includes providing strategic insights, predictive modeling for structured and unstructured data and solution development. Chiranjiv holds Bachelors and Master’s Degree in Computer Applications along with Executive Post Graduate in International Business Management. Before HP, Chiranjiv worked with companies like HSBC, Ameriprise Express Financial Advisors(AMP) and WNS Research & Analytics.

Case Study: Early Warning System for Deal Abandonment

 Nishant Saxena, PMP

Nishant Saxena, PMP

Analytics Delivery Manager, ES Analytics

Hewlett Packard Enterprise

Nishant Saxena has around 12 years of professional experience in Advanced Analytics, Business Consulting and Program Management. Nishant holds MBA in Finance from IBS Hyderabad and B.E. in Computer Science from VTU Belgaum. He is also a PMI certified PMP. Nishant currently leads the Enterprise Services Analytics team for Hewlett Packard Enterprise. Prior to joining HPE, he was part of Global Strategy & Marketing at Honeywell and Business Consulting at Cognizant. Nishant has a PATENT Published. He has been Speaker at various conferences on smart usage of analytics in enterprise business: ICBAI 2015, ICBAI 2014, HP Tech Con 2014; PAW San Francisco 2014; and ICBAI 2013. His white paper was selected for IEEE/WIC/ACM ICWI 2014. He has a White Paper accepted for publication in JIOS by Taylor & Francis. Nishant was invited as Plenary Speaker & Session Chair for International Conference on Crowdfunding 2016. He has also been review committee member for PMI PMPC 2016 and HPE Parasparam 2016.

Case Study: Early Warning System for Deal Abandonment

 Phil Shelley

Phil Shelley

Former CTO

Sears Holdings Corporation

As former CTO of Sears Holdings, Dr. Phil Shelley has several years experience in helping move a large iconic brand into a near real-time model where digital engagement with customers has become the norm. Like many companies, Sears IT landscape was fragmented, duplicative, heavy use of ETL and batch-oriented. Moving the people, process and systems to align with faster delivery of services, solutions and collapsing systems into single points of truth was a major focus of the CTO role. The use of Open-Source and Big Data technologies was a major enabler for the transformation, along with re-alignment of teams, new skills and data governance. The establishment of an enterprise data architecture was critical and is pivotal to successful Big Data initiatives. Sears enjoyed significant recognition for the innovations in these areas, with many articles using Sears as an example (http://stratitonline.com). In addition to the CTO role, in 2012 Phil was appointed CEO of a Sears startup in Big Data technologies. Phil recently left Sears for form NPP, a Big Data advisory firm, helping companies design and implement Big Data initiatives, where Phil can use his significant experience to speed similar efforts in client companies.

Dr. Shelley has a PhD in bio-medical engineering, having worked in the UK, Germany and USA; he has led Research and Development, Quality and IT organizations and held positions in various technical and business leadership roles including CEO, CIO and Chief Technology Officer. Phil has directed IT Operations and focused on innovation, Big Data, Cloud computing and the modernization of IT. Phil has led the innovative migration of batch workload off mainframes to Hadoop, large-scale private open-source cloud computing, Hadoop for Big-Data, BI and infrastructure modernization.

Phil is an industry expert speaker on Big Data, noSQL and Cloud computing, he is also co-chair of the cloud computing chapter of the IAOP and President of NPP, industry experts in C-Level Big Data strategies.

Keynote: Achieving the Previously impossible: Collapsing Data Silos with Big Data Architecture & Technologies

 Marc Smith

Marc Smith

Chief Social Scientist

Connected Action Consulting Group

Dr. Marc A. Smith is a sociologist specializing in the social organization of online communities and computer mediated interaction. Smith leads the Connected Action consulting group. Smith co-founded the Social Media Research Foundation (http://www.smrfoundation.org/), a non-profit devoted to open tools, data, and scholarship related to social media research. He contributes to the open and free NodeXL project (http://nodexl.codeplex.com) that adds social network analysis features to the familiar Excel spreadsheet. NodeXL enables social network analysis of email, Twitter, Flickr, WWW, Facebook and other network data sets. Along with Derek Hansen and Ben Shneiderman, he is the co-author and editor of Analyzing Social Media Networks with NodeXL: Insights from a connected world, from Morgan-Kaufmann which is a guide to mapping connections created through computer-mediated interactions. Smith has published research on social media extensively, providing a map to the landscape of connected communities on the Internet.

Case Study: Think Link! Network Insights with No Programming Skills
Workshop: The Big Picture on Big Data: Proven Methods You Need to Extract Big Values

 James Taylor

James Taylor

CEO

Decision Management Solutions

James Taylor is the CEO of Decision Management Solutions and is a leading expert in how to use business rules and analytic technology to build decision management systems. He is passionate about using decision management systems to help companies improve decision-making and develop an agile, analytic and adaptive business. He provides strategic consulting to companies of all sizes, working with clients in all sectors to adopt decision-making technology. James is an expert member of the International Institute for Analytics and is the author of multiple books and articles on decision management, decision modeling, predictive analytics and business rules, and writes a regular blog at JT on EDM. James also delivers webinars, workshops and training. He is a regular keynote speaker at conferences around the world.

Case Study: Predictive Analytics in the Cloud: Use Cases and Trends

 Dana Zuber

Dana Zuber

Strategy and Analytics Executive

Wells Fargo

Dana Zuber is a strategy and analytics executive at Wells Fargo where she was an early adopter and evangelist of using visual analytics to tell stories with data. She has led analytics teams at Wells Fargo in Wealth Management, Branch and ATM Planning and most recently in Enterprise Data and Analytics. Dana presents regularly to Wells Fargo executive leadership teams in addition to speaking at conferences. She is a guest speaker on the topic of data visualization and analytics at Stanford, Sonoma State University, The University of San Francisco and Mills College. Prior to Wells Fargo, Dana has worked at companies such as Walmart.com, L'Oreal USA and Canadian Tire.

Dana has a degree in Mechanical Engineering from Queen's University in Canada and an MBA from The Kellogg School of Management at Northwestern. Dana lives with her family in the Bay Area in Northern California.

Case Study: Using Time-Series Clustering to Understand Customer Behavior

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