A Novel Approach on Large Scaled Data Prioritizing Customer Relationship Management: Perspective Analysis

In general perspective, the activities linked to customer relationship management are accumulating, properly organizing and implementing the user supportive large scaled data intelligently with the adequate supported techniques. Considering the present situation of provisioned large scaled heterogeneous data in all respect, in this work it has been prioritized on the implementation mechanisms in customer relationship management maintaining the gaps and providing suitable solutions. Accordingly, intelligent techniques can be applied on the provisioned large scaled data integrating customer relationship management. In many situations, the processes associated with the system can be linked with supported decisions. Therefore it is important to intently monitor the performance of a decision model along with the quantification of individual decisions. The presence of specific intelligent analytical system can monitor the decision data optimizing the decisions based on the situation. As the analysis of large scaled data can be challenge towards obtaining the optimal results as well as faster decisions, in this regard, it has also been aimed to focus on these data facilitating the enhanced decision making process using soft computing meta-heuristic techniques.