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&lt;p&gt;&amp;nbsp;&lt;strong&gt;&lt;span class=&quot;fontstyle0&quot;&gt;Abstract&lt;/span&gt;&lt;/strong&gt;&lt;span class=&quot;fontstyle1&quot;&gt;&amp;mdash; &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span class=&quot;fontstyle3&quot;&gt;With a rapidly growing customer base, it has become increasingly difficult for companies to manage and&lt;br /&gt;understand customer data, even with the assistance of Customer Relationship Management (CRM) platforms. &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span class=&quot;fontstyle3&quot;&gt;The vast progress achieved in the field of&lt;strong&gt; Data Analytics&lt;/strong&gt; has made it possible to extract meaningful information from raw customer&lt;br /&gt;data efficiently, using which well-informed decisions can be made to enhance customer relationships. &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span class=&quot;fontstyle3&quot;&gt;This paper discusses the power of Data Analytics and &lt;strong&gt;CRM platforms&lt;/strong&gt; working in unison,&lt;strong&gt; known as CRM Analytics&lt;/strong&gt;. &lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span class=&quot;fontstyle3&quot;&gt;It covers the various applications of CRM Analytics and the key data mining techniques used by business organizations. A comparison between top CRM platforms is carried out and a case study on the latest cloud-based Salesforce CRM platform is presented.&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;span class=&quot;fontstyle0&quot;&gt;&lt;strong&gt;Data Analytics&lt;/strong&gt;&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;This is a field that is a narrower perspective of Data Science. Data Analysis is a process of analyzing the data,cleaning it, reconstructing, and modeling data to gain meaningful information, deriving insights, and supporting recommendations&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;span class=&quot;fontstyle0&quot;&gt;&lt;strong&gt;DATA MINING TECHNIQUES USED IN ANALYTICS&lt;/strong&gt;&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Data mining can be defined as the process of identifying patterns in data from which useful and actionable insights&lt;br /&gt;are gained. There are many data mining techniques that organizations can use, that involve everything from the&lt;br /&gt;basics of data preparation to cutting-edge artificial intelligence. To mention a few key techniques [20][21]:&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;a) &lt;strong&gt;Tracking Patterns&lt;/strong&gt;&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;It involves the methodology of noticing trends in the data and monitoring them to make some intelligent inferences.&lt;br /&gt;Once a trend in sales data has been identified, a basis has been established on which actionable insights can be taken .&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;b) &lt;strong&gt;Outlier Detection&lt;/strong&gt;&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;It is used to determine aberrations in the data. The anomalies once found by the organization, it can be used to&lt;br /&gt;their advantages as it helps them understand why these outliers exist and occur. It would also help them prepare&lt;br /&gt;and be aware while working on future business outcomes&amp;nbsp; &lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;c) &lt;strong&gt;Association&lt;/strong&gt;&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;The data mining technique association is also like the notion of correlation. What this means is that there is a&lt;br /&gt;relationship between the two data events: this could be the simple example of where when someone purchases a cycle&lt;br /&gt;it is frequently accompanied by a purchase of a safety helmet.&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;d) &lt;strong&gt;Classification&lt;/strong&gt;&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Classification is the process of analyzing all the different attributes associated with the kinds of data types that exist.&lt;br /&gt;After which a set of attributes are assigned to each data type and then new data can be easily classified into one of the data types based on its attributes .&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;e) &lt;strong&gt;Regression&lt;/strong&gt;&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;This process can be simply defined as a method of identifying the type of relationship that exists between an&lt;br /&gt;output field and every other attribute. It belongs to the category of white-box techniques, there are different types&lt;br /&gt;the most popular being linear and logistic regression.&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle3&quot;&gt;f)&lt;strong&gt; Decision Trees&lt;/strong&gt;&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;Decision trees have an extremely forward nature of learning, they too belong to the category of white-box&lt;br /&gt;techniques. They are used to determine how a set of input attributes affect the result or output field. When many&lt;br /&gt;decision trees are combined a random forest is created which is a predictive analytics model&lt;/span&gt;&lt;/p&gt;
&lt;p&gt;&lt;span class=&quot;fontstyle0&quot;&gt;g) &lt;strong&gt;Clustering&lt;/strong&gt;&lt;br /&gt;&lt;/span&gt;&lt;span class=&quot;fontstyle2&quot;&gt;This data mining technique as the name suggests is used to group similar objects or data into a single entity called a&lt;br /&gt;cluster. Every cluster in independent of every other cluster that is created and this technique is highly used in performing exploratory analysis &lt;/span&gt;&lt;/p&gt;
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✎ Modifica tag 🤖 Suggerisci AI

          ai, crm, bigdata,nn        

ai 5 bigdata 5 crm 5 nn 5 wpg 5

ID: 112 • Tipo: WPG • Reg: 2022-07-01 • Mod: 29/07/2026 20:16