New CRM Architecture Adapted To Big Data

The business model as known by the majority of specialists has moved from product concentration to the customer concentration. And as we all know, electronic commerce and generally the world of technology has exponentially believed that principal. In this era, many companies have begun to permeate the Electronic Customer Relationship Management (CRAG / E-CRM) more than conventional CRM to better understand their customers. As early as the first definitions of the CRM, we found among the main three axes - technology - Currently the data world is also outstanding to have a change with the advent of Big Data paradigm. There is a need to rethink and reconsider the validity of existing architectures management of electronic customer relationship. In this paper, we will see the existing architectures, and we subsequently present architecture with features capable to respect and exploit the new data based on research works. DOI: 10.17762/ijritcc2321-8169.150714

Smart Cities and New Technology Trends State of the art and perspectives

Smart cities are becoming the trend in strategic and technological planning in the modern world to qualify a city as a smart city, we should overcome several challenges in other words, it’s an equation of heterogeneous settings and parameters for a concrete outcome which is improving the quality of life for citizens in mobility and access to services in their entourage. The components of the "smart city" equation are multiple and are essentially urban and environmental coupled with technological and social governance, our goal is to draw up an action plan highlighting the state of the art of the technological and social components in terms of: • Technology: big data, Internet of Things. • User Motivation: gamification. This article discusses the architectural part of the smart city from a perspective based on the foundation of good technological practices and technical users loyalty in their interaction with the city. This work is a first step for a future study on the mobility of citizens and mechanisms that motivate their movements

Methodology of the Blockchain Monitoring Framework

A blockchain is a technology that allows the storage and transmission of information without a control body. Technically, it is a distributed database in which the information sent by users is verified and grouped into blocks, thus forming a chain. Thanks to the secure encryption of the data and the fact that new transactions are linked to the previous ones, it is almost impossible to modify the old records without modifying the following ones. On the other hand, the control of the blockchain by more than half of the nodes in the network (by consensus) makes it impossible to falsify the data in the blockchain. However, this public/private, anonymous, and unforgeable ledger that is the blockchain contains a set of information (metrics, logs, etc.) that can provide clues for an efficient monitoring and allow the reinforcement of the security of the blockchain that could be discussed in the future with the advent of quantum machines

Architectural design of trust based recommendation system in customer relationship management

Most Companies are more customer centric than they were before. By adopting this strategy, it made the electronic commerce growing and enhance buyers experience. from the other side, Companies started to explore this customer experience -data generated- to extract knowledge about their customer to be well managed – eCRM - instead of classic customer relationship Management - CRM. Large quantity of Data motivated the companies to look for changes, and ask for more functionality, and this are what influenced software editors to adapt their solutions and implement the power of data. Nowadays, data available – Big Data – put the existing systems and architectures under question and push us to rethink the logical layer to explore this data. Following the data vague, puts a need to reconsider and study the strength of eCRM/CRM existing solutions and architectures. The main contribution of this paper is to propose architecture built on Trust-Based recommendation able to provide to companies better accuracy, coverage, novelty and diversity during the sales process