Due to the advent of technology and internet over the past few years, significant number of customers have started shopping online and accessing their bank account through various channels like Netbanking, Mobile banking etc. In this paper, we describe Edge Analytics framework which deliver analytics as a service that can be hosted by a financial institute like Bank for delivering personalized offer in real time on thier netbanking portals or on other channels. This edge analytics service can be accessed through edge APIs plugged into netbanking portals. It access the recent transactions in the log to determine offers for the customer and therefore, saving a lot of resources and effort by fetching the data from the main warehouse. Edge analytics server capability has been enhanced by incorprating knowledge such as user's intent and interest from their social media profile by identifying their identity on the Online social network. This information is then feed into rule engine to generate customised offers for each user using both enterprise and social information. Edge Analytics service has been hosted on cloud which renders it scalability factor and allows different third party provders to make use of the service easily. © 2013 IEEE.