e-CRM and data mining systems help personalize interactions with customers. It also creates interactions with customers. It also creates interactions based on relevant customer information, and expedites business transactions. e-CRM makes it possible to recreate the customer service of the past. Companies can use technology to combine a personal touch with customized service and the illusion of the one-to-one shopping of the past. The four features of e-CRM are:

Information Analysis

Customer Personalization

Direct Marketing

Simplified Transactions.

The first feature of e-CRM is information analysis. With e-CRM, your ability to collect and analyze information is more efficient. It will help you determine inventory sizing, product pricing, sales items, credit policies, and other business decisions. With the analysis of you will be able to effectively use the second feature of e-CRM: Customer Personalization. Individual relationships with customers can be created and maintained through e-CRM. An effective e-CRM system will gather customer preferences and ensure customer-made shopping experiences for each customer. Technology allows mass-market efficiency with a personalized feel. You can recreate the shopping experience of a mom-and-pop store at minimal cost through the third feature of e-CRM: Direct Marketing. Customers can order goals online and give you permission to send them additional personalized messages about new products, sales item, and other services you want to offer. e-CRM allows you to simplify transactions, analyze information, and create effective direct marketing material.

Companies that focus on customer information and use that information to maintain relationships are most successful in the market place.

What is data mining? It is the process of analyzing enormous amounts of data to identify meaningful patterns. Data mining is used for:

• Research
• Process Improvement
• Marketing.

Data mining is an important tool for lowering overhead costs. The first way data mining facilities business operations is as a research tool. Research and Development is a costly process that can be streamlined and automated through data mining. Data mining lowers costs from the beginning of the manufacturing cycle, during the research and development phase, by quickly shifting through vast amounts of information.

Manufacturing and inventory control is another area in which data mining can help your company cut costs. The second way data mining facilitates business operations is through process improvement. Data mining systems can monitor processes to ensure that variables can be monitored and connected through data mining. Although both research and process improvement; are valuable aspects of data mining, they are the least customer – oriented aspects of it. The most successful use of data mining is in marketing. This is the third way data mining facilitates business operations. Data mining uncovers information that reveals buying behaviors of existing customers. All useful marketing information is available in your customer database. Data mining will help you sift (distinguish) through it all.

Data mining streamlines and automates research methods, improves business processes, and identifies valuable marketing information. Customer database are an unlimited source of information. They are important business tools, but they are technical aspects of data mining that require knowledge of algorithms, decision trees, and predictive models. Some technical aspects of data mining are: