Data mining and customer relationships 101

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The bible of the Data Mining

The methods of how companies interact with their customers have changed drastically over the years. Companies are finding new and more relevant ways to connect with their clients. Information about consumer patterns play a vital role in many marketing departments in order to determine when to launch a product, how to launch a product and where to launch a product.

What is data mining?

data-mining

Data mining automates the detection of relevant patterns within a database. Often, data mining provide businesses with large amounts of information about customers’ behaviors, buying habits which enable businesses to effectively market their goods. 

Examples of data mining?

To better understand what data mining is, we must first look at relevant examples.

One of the key players in the grocery industry uses its loyalty cards to collect information on what products are being bought and when they are bought. The company will then use that information to email promotions of these products to its consumers.

Another example is credit card issuer generates for its customer service representative a list of products and services that a consumer will likely purchases based on characteristics of his/her credit card.

How do business owners get started with data mining?

In order to determine relevant patterns in consumers’ behaviors, business owners need to first collect information about their consumers. Information can vary from demographic statistics, geographic statistics, frequency of purchases etc. Many companies like Idioma Connections, collaborate with a team of industry experts to assist companies in meeting their business objective with effective marketing campaigns through the use of data mining techniques.

How does data mining help businesses?

Data mining extracts information that users did not know exist

The relationships between different variables in statistical models developed among data sets from data mining are often not intuitive but are valuable in the decision making process. Because users did not know about most of the information beforehand, business owners are offered more information relevant in helping them improve their businesses processes.

Data mining helps you target marketing campaigns more accurately

Data mining helps businesses to target marketing campaigns more accurately and align campaigns more closely with needs, wants and attitudes of existing and prospective customers. The importance of data mining is to find relevant patterns to current business problems.

So What?

This article provided a basis of the role that data mining plays in improving marketing campaigns and business processes for business owners. Successful businesses are versatile and are constantly finding new ways to market and connect with its users to deliver the best products in the most effective ways.

Here are the Top 5 Best Open Source Data Mining Tools

  1. RapidMiner

    rapidminertool

  2. Weka

    weka-data-mining-tool

  3.  R-Programming

    r-project-data-mining

  4. Orange

    orange-data

  5. Knime

    knime-data-mining

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