In an increasingly competitive market, a reliable and accurate source of information should be seen as a competitive advantage. To meet this demand for information, basing strategies and decisions. data mining was developed.

This technology —also known as data mining—can be described as a process capable of verifying different types of sources and, through statistical and artificial intelligence applications, identifying patterns, filtering them into useful information, and intuitively presenting them to the management team.

Through this information, the team is able to identify opportunities and even failures in their processes, which allows implementation measures to optimize the operation.

Do you want to understand more about data mining and know the benefits for your company? Continue reading the post we have prepared and find out how it works!

After all, how does data mining work?

Since the purpose of it is to identify and filter information to help a company achieve a particular goal, it needs to rely on tools to accomplish these tasks. Thus, data mining has three  pillars:

  • statistics;
  • artificial intelligence;
  • machine learning.

Making use of analytical tools and techniques, the system processes and organizes a data source, allowing it to identify patterns. These standards that the software must analyze, through statistics, to diagnose problems or opportunities.

By studying the set of information, ascertained by statistical analysis, artificial intelligence is able to obtain a series of insights and thus teach the system, with machine learning, the most efficient method to evolve this entire ecosystem, making it increasingly assertive and effective.

With the result of this process, the management of a company is able to develop more precise strategies.

In practice, how can data mining help my company?

As we mention, the purpose of data mining is to help the management team identify opportunities for action. Continue reading and understand how it can be useful in this process.

Data mining applied to marketing

The interaction between the company and its consumers in the most diverse communication channels generates a large volume of important data. Among the information they contain are valuable indications regarding your preferences.

Through data mining, the company can access this source of data about consumers and use it to develop more effective marketing campaigns, retaining its customers, and reaching a new audience.

Data mining applied to production

The day-to-day operation of a company should also be seen as an important source of data, whether it is more aligned with manufacturing production or more bureaucratic operations of an office.

A data mining system is able to identify the factors that make employees more or less productive, which allows the management team to devise strategies to optimize their results.

In relation to machines, data mining is also able to point out relevant information, such as the ideal period for maintenance services to be performed and even the average rate and time for depreciation of parts and equipment.

What do I need to do to implement data mining in my company?

Since data mining needs hardware and software to work, its implementation must be done by qualified professionals in the area. Taking into account the costs of the operation and the level of specialty it requires,  relying on the services of a specialized company is a good option.

Before using this strategy, however, it is necessary to research and evaluate well the possible companies providing the service to ensure that the chosen one has the appropriate level of quality.

Data mining has the potential to optimize a company’s performance by providing staff with useful information. Through it, the manager can even receive indications about future scenarios. To learn more about this, check out our other predictive analytics content and discover its benefits.

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