Predictive Analytics World London (predictiveanalyticsworld.com/london), the leading vendor-neutral analytics conference, is holding its fourth annual conference this October 23-24 in London, UK. PAW focuses on concrete examples of deployed predictive analytics. Learn precisely how top practitioners in a variety of organizations and industries deploy predictive analytics, and experience the impact it delivers. The conference delivers case studies, expertise and resources to achieve three objectives:
Bigger Wins: Strengthen the business impact delivered by predictive analytics
Broader Capabilities: Establish new opportunities with predictive analytics
Big Data: Leverage bigger data for prediction and drive bigger value
PAW London’s program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote addresses from industry heavy-weights Dr. Geert Verstraeten, Managing Partner, Python Predictions; Prof. Dr. Wil van der Aalst, Full professor, Eindhoven University of Technology; and Dr. John Elder, CEO & Founder, Elder Research, Inc.
Special Featured Sessions:
PAW London 2013 offers special sessions from experts. An Implementation and Adoption Roadmap for Analytics from Nauman Sheikh, CEO, Asrym Inc.; Data Science: For Fun and For Profit from Lukas Vermeer, Data Scientist, Booking.com; Influencing Consumer Acquisition and Loyalty through Actionable Insights and Targeted Location-Based Mobile Marketing from Gery Pollet, Founder & Executive Chairman, ZapFi; and Predicting Online Campaign Effectiveness from Amit Phansalkar, Director Data Science and Advanced Analytics, Kantar Media Complete.
Case Studies: How the Leading Enterprises Do It:
In last year’s edition, no less than 95.2% of attendees stated they would recommend PAW London to their peers. This year’s edition features (among others) the following case studies, on how Predictive Analytics:
• allows AOL to maximize ROI by optimizing its partnerships
• enables Deutsche Bank to predict investment interests for its clients
• allows energy providers to create appropriate pricing plans
• helps the Belgian government to reduce social security payment fraud
• allows Paychex to focus retention efforts on its most valuable clients
• enables BNP Paribas Fortis to predict future value for its B2B clients
• is used to create quantitative investment systems beating the stock market
Additionally, other focal sessions feature how to:
• transform a business into an analytics driven organization
• develop analytical talent within your organization
• increase online ad campaign effectiveness
• drive one-on-one mobile marketing campaigns
• apply process mining techniques to improve business process efficiency
PAW London aims to attract a wide variety of stories covering hot topics and advanced methods such as churn modeling, crowdsourcing predictive analytics, demand forecasting with predictive models, discovery of technology trends, financial services, human resource retention, non-profit fundraising, online ad optimization, operational analytics, pharmaceutical applications, project management for analytics, risk management, social data, supply chain management, text analytics, uplift modeling (net lift), and other innovative applications that benefit organizations in new and creative ways.
Join PAW and access the best keynotes, sessions, workshops, exposition, expert panel, networking coffee breaks, reception, brand-name enterprise leaders, and industry heavyweights in the business.
Last but not least, join PAW London to interact and learn from an international network containing both managers and practitioners in the field of advanced analytics.
WORKSHOPS: PAW London also features a post-conference workshop with Dr. John Elder that complements the core conference program.
Join PAW and access the premier keynotes, sessions, workshops, exposition, expert panel, networking coffee breaks, brand-name enterprise leaders, and industry heavyweights in the business.
Cross-Industry Applications
Predictive Analytics World is the only conference series of its kind, delivering vendor-neutral sessions across verticals such as banking, financial services, e-commerce, education, government, healthcare, high technology, insurance, non-profits, publishing, social gaming, retail and telecommunications.
And PAW covers the gamut of commercial applications of predictive analytics, including response modeling, customer retention with churn modeling, product recommendations, fraud detection, online marketing optimization, human resource decision-making, law enforcement, sales forecasting, and credit scoring.
GET STARTED. If you’re new to predictive analytics, kicking off a new initiative, or exploring new ways to position it at your organization, there’s no better place to get your bearings than Predictive Analytics World. See what other companies are doing, witness vendor demos, participate in discussions with the experts, network with your colleagues and weigh your options!
Registration: http://www.predictiveanalyticsworld.com/london/register.php
Take £75 off the Early Bird or the Advance Two Day Pass registration fee with this posting’s promotional discount code: CUS100.
Save an additional £100 for each additional attendee from the same company registered at the same time.
View the PAW London Agenda at a glance: http://www.predictiveanalyticsworld.com/london/2013/agenda_overview.php
For inquiries:
North America
Questions regarding registration, or administration: [email protected]
Phone: (717) 798-3495
UK/Europe
Questions regarding registration, or administration: [email protected]
Phone: +49 8151 55 66 045
ALL ANALYTICS EVENTS:
Predictive Analytics World Government: September 18-19, 2013 – www.pawgov.com
Predictive Analytics World Boston: Sept 29-Oct 3, 2013 – http://www.pawcon.com/boston/2013
Text Analytics World Boston: Sept 30-Oct 1, 2013 – http://www.textanalyticsworld.com/boston/2013
Predictive Analytics World London: Oct 23-24, 2013 – http://www.pawcon.com/london/2013
Predictive Analytics World Berlin: Nov 4-5, 2013 – http://predictiveanalyticsworld.de/
PAW Videos: Available on-demand – www.pawcon.com/video
