Other offerings are planned, I.B.M. executives said, including clouds fine-tuned for data storage, and clouds for business analytics, which is software that analyzes data for patterns of customer behavior, market trends and other potentially valuable information.
In 2003 he wrote an article (with Stephen Brown of the University of Ulster and Robert V. Kozinets of Kellogg) on the subject for The Journal of Customer Behavior.
GoodBarry argues that GoodBusiness offers a more customer-centric ecommerce package that provides a complete picture of customer behavior, allowing for better informed decisions; however both packages do provide a similar outcome: a simplified software-as-a-service ecommerce package.
The system, ideally, will learn from customer behavior.
So, we utilize passive RFID tags to monitor the customers shopping process and analyze the collected data for mining customer behavior.
In telecommunication industry, machine learning techniques have been applied to the Call Detail Record (CDR) for predicting customer behavior such as churn prediction.
The system presents a cloud based solution for effecting customer behavior modification in the electricity market with a mobile interface that encourages consumers to offset their energy usage during peak hours in order to achieve full energy efficiency potential.
It could also provide a powerful tool for adapting to market changes, and open the door for e-businesses for analyzing customer behaviors, e-bank transactions, online auctions, blog analysis, and recommendation systems [4].
Like Flash, Java has tremendous traction and the ability to act as an attention/gesture recorder for developer and customer behavior in realtime.
