Calendar

Loyalty Summit brings forth a loyalty marketing leadership strategy agenda that enables you to understand your customers better in order to reduce customer churn and increase profitability.

The event gets together leading B2C brands across all verticals durables, non-durables, retail, travel, financial services, healthcare, telecom, entertainment to discuss best practices for building cohesive, all-encompassing customer loyalty strategies. Senior Professionals of Loyalty, CRM, Marketing, & Social Media from the world’s leading brands come together to discover the technologies, strategies and programs that will boost engagement, drive retention, and enhance brand recognition and awareness.

Discover the latest technologies and services in our exhibition that will enable you to achieve higher returns from marketing and loyalty spend and network with 300+ senior level loyalty and CRM executives who will come together to showcase innovation in customer engagement, analytics, and experience.

Who should attend

By Industry                                    By Role • Airlines • Banks • E-Commerce • FMCG • Food & Beverage • Health & Wellness • High-Tech • Hotels • Leisure • Retail • Telecom • Utilities • Marketing / Branding • E-Commerce • CIO / IT Professionals • Social Media • Online / Digital • Loyalty / CRM • Customer Experience • Rewards & Retension • Customer Insights / Intelligence • Data Analytics

Event Site: http://www.loyaltysummit.net/

Official Media Partner:Analyticpedia

Predictive Analytics World 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.

In last year’s edition, no less than 95.2% of attendees stated they would recommend PAW London to their peers. The program featured (among others) the following case studies, on how Predictive Analytics:

• enables Leicester Tigers Rugby team to detect and prevent player injuries
• helps MAN Diesel & Turbo succeed in an industrial B2B setting
• allowes 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, other well-received sessions featured 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 learnings from forecasting and predictive analytics to predict ‘big’ time series data
• increase the impact of predictive analytics projects

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, workshop, exposition, expert panel, networking coffee breaks, reception, brand-name enterprise leaders, and industry heavyweights in the business.

If you’d like our informative event updates, sign up at:www.predictiveanalyticsworld.com/signup.php

Courtesy: PAW