Predictive Analytics World London 2012
Organization: Predictive Analytics World
Venue: Business Design Centre
|Event Date/Time: Nov 27, 2012 / 9:00 am - (GMT)||End Date/Time: Nov 28, 2012 / 5:00 pm - (GMT)|
Predictive Analytics World, November 27-28, 2012 in London (www.pawcon.com/london) is the business event for predictive analytics professionals, managers and commercial practitioners, covering today's commercial deployment of predictive analytics, across industries and across software vendors. The conference delivers case studies, expertise and resources to achieve two objectives:
· Bigger Wins: Strengthen the business impact delivered by predictive analytics
· Broader Capabilities: Establish new opportunities with predictive analytics
Predictive Analytics World London, the leading vendor-neutral analytics conference, is holding its third annual conference November 27-28 in London, UK at the Business Design Centre. PAW's program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote addresses from industry heavy-weights Dr. John Elder, CEO & Founder, Elder Research, Inc., Dr. Geert Verstraeten, and Professor Dr. Sven Crone, Deputy Director, Lancaster Centre for Forecasting.
Special Featured Sessions:
PAW London 2012 offers special sessions: Managing Analytics, Developing and Growing Teams of Predictive Analysts from Dr. Martine George, Head of Marketing Analytics and Research, BNP Paribas Fortis; Sports Analytics, The Evolution of Analytics in Rugby Union from Andy Shelton, Head of Sports Science, Leicester Tigers Rugby Team; and Government Analytics, Implementing Advanced Analytics in Tax Collection and Compliance from Mads Nielsen, Special Adviser and Project Leader, Danish Ministry of Taxation.
Case Studies: How the Leading Enterprises Do It:
Predictive Analytics World focuses on concrete examples of deployed predictive analytics. Hear from the horse's mouth precisely how top practitioners deploy predictive analytics, and the business impact it delivers.
Join PAW London to learn how Predictive Analytics:
· Enables Leicester Tigers Rugby team to detect and prevent player injuries
· Helps MAN Diesel & Turbo succeed in an industrial B2B setting
· Allows Dŵr Cymru Welsh Water to detect extremely unlikely pollution events
· Is used at Commerzbank, Lloyds and Ursus Advisors to improve business performance
· Helps the Danish ministry of Taxation to improve tax collection
· Enables Deutsche Bank Belgian Branch to convert savers to investors
· Allows Medway Youth Trust to reduce youth unemployment
· Is deployed by MarketPsy Capital LLC to build the world's first social media-based hedge fund
Additionally, join PAW London to learn how to:
· Develop and grow teams of predictive analysts
· Win (at least a battle) in the war for analytical talent
· Combine both talent and tools to construct successful solutions
· Apply the right data mining tool for the right purpose
· Integrate text mining, social network mining and predictive analytics
· Combine learning from forecasting and predictive analytics to predict ‘big’ time series data
· Increase the impact of predictive analytics projects
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.
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.
Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predicatively scoring customers optimizes business performance. Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.
Rave Reviews from other PAW events
"I came to PAW because it provides case studies relevant to my industry. It has lived up to the expectation and I think it's the best analytics conference I've ever attended!"
Senior Data Mining Analyst
"Hands down, best applied analytics conference I have ever attended. Great exposure to cutting-edge predictive techniques and I was able to turn around and apply some of those learnings to my work immediately. I've never been able to say that after any conference I've attended before!"
VENDORS. Meet the vendors and learn about their solutions, software and service. Discover the best predictive analytics vendors available to serve your needs - learn what they do and see how they compare.
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!
Take £75 off the Early Bird or the Advance Two Day Pass registration fee with this posting's promotional discount code: ALL100.
Save an additional £100 for each additional attendee from the same company registered at the same time.
Questions regarding registration, or administration: firstname.lastname@example.org
Phone: (717) 798-3495
Questions regarding registration, or administration: email@example.com
Phone: +49 8151 55 66 045