Data mining concepts with customer relationship management


"Data Mining Concepts with Customer Relationship Management", the framework of a customer relationship management system has four elements: Know, Target, Sell, Service. You are collecting data on customer, determining the type customer for your product or service, identify the best benefits and features for the customer to make the sale, and then focus on service and retention. The article continues to discuss the application of data mining techniques.

The primary goal of customer relationship management systems is to integrate sales, marketing, and customer support. This goal summarizes the relationship between you and the customer. It captures their basic information, sales and buying history, your marketing efforts. The analytical side of the system analyzes the data that is collected and would allow you to make informed decisions about marketing and product development.

I have used DonorPerfect and Donor Snap as a CRM to prospect new donors, as well as determine the donor's capacity to give several times or upgrade their level of giving. These systems have help me to best steward existing donors as I obtain additional information about their interests. My organization is now implementing SalesForce in stages. I am looking forward to the conversion because of what I know the system can provide me as a Donor Development Director and level of stewardship that I can perform.

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What experiences have you had with CRM? How has it assisted you with providing the ultimate customer service? What was the advantages and disadvantages for using the system? Give Some Examples.

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Operation Management: Data mining concepts with customer relationship management
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