BDCA 2014 - BDCA 2014: WORKSHOP ON BIG DATA CUSTOMER ANALYTICS

The ability to track customer interactions at an unprecedented level of granularity and scale, over websites, smartphones, social media and even on the shop floor has led to a massive amount of data, both structured and unstructured. This data is very valuable to many companies in segments such as telecom, retail, finance, entertainment, as it can potentially reveal deep insights into their customers' latent behaviour. Recently, some leading retail companies reported that by using customer insights to develop individual offers their revenue increases by 3%. In addition, they reported about a 500 percent increase in the click-through rate for its banner ads.
Research in big data technologies aims to provide a flexible and scalable techniques for processing and analyzing such massive data. However, there remain several challenges that are specific to customer analytics at a large scale. Examples of such challenges include, but are not limited to, customer data integration and identity management across multiple interaction channels, customer profiling and privacy protection, propensity modeling, real-time event detection and predictive analytics, personalization, and so on.
The purpose of this workshop is to bring together researchers and practitioners across the fields of data and knowledge management, social network analysis, machine learning and information retrieval for a focused discussion on the "end-to-end" path of customer analytics and its challenges. The topics of interest for BDCA include, but are not limited to:
Customer data integration
Customer identity management across multiple interaction channels
Customer profiling and privacy protection
Buyer decision process and spending propensity modeling
Real-time event detection and predictive analytics
Personalisation and recommendation systems
Customer data visualisation
Computational advertising
Customer attrition modeling