Learn the 7 steps for continuous techniques process techniques proces recommend. by ITIL V4 .
In the previous section, where we explain. how data mining is done, we mention. the application of data mining techniques.
To clarify the possibilities a little, we present the most buy phone number list frequently us. techniques:
Association rules: make associations between two or more elements in a data set to find patterns and trends;
Artificial neural networks : technique us. to identify connections between data;
Decision trees: generate numerous problem-solving options for the same question.
How can data mining help a business? techniques process
Now that you know what data mining is and the phases that make up this process, it is very important to understand where data mining can help your company. The various possibilities include:</p>
improve the services provid. bas. on customer behavior;
have more concrete bases for decision- What techniques proces making;
make the most of the data your company generates;
identify new business opportunities;
make market foreca
sts.
You might find this helpful: 8 Ways to Effectively Manage Your Customer Data .
In what areas can data mining be us What techniques proces
Data Mining can be us. in different areas or departments within the same company. For example: sales, marketing and customer service.</p>
Sales
In sales, data mining can be us. to evaluate the performance of sales representatives. Make profit pr.ictions project time management with scientific and professional processes and methods and calculate the probability that a new product will be successful bas. on customer preferen
ces.</p>
Marketing
In turn, marketing can leverage data mining to design buyer personas , create personaliz. ads for potential customer america email segments, and refine messaging with people who already buy from
you.
Customer service
In customer service , data mining can help identify recurring complaints and persistent problems. It is also useful for anticipating crises and providing proactive support bas. on customer behavior patterns.