We recommend you read: What data What is should I know about my client? 4 essential data .
Data mining is used to transform raw data into valuable information for a business. This can be done by identifying patterns and anomalies, as well as uncovering opportunities and trends.
1. Identify patterns
One of the main functions of data mining is to identify patterns . Thanks to its high analytical capacity, which is determined by artificial intelligence and machine learning algorithms , it makes connections and correlations between data.
Do you know the difference between deep learning and machine learning? Read: Deep Learning vs Machine Learning: A Guide with Examples .
2. Reveal anomalies
Another interesting use of data mining is to reveal anomalies. In the same way that algorithms can identify when something is repeated, they can alert you when data is outside the known pattern. This information is useful for solving problems before they become serious.
3. Discover opportunities
But not everything that differs from the known pattern is bad. Different data can indicate business opportunities that, if recognized in time, can be used as a competitive advantage in the market.
4. Find trends
Once data is transformed into information, it can serve as a basis for your business’s strategic planning. Data mining can overseas data be used, for example, to identify consumer behavior trends .
With this information in hand, your company can plan a series of actions to improve customer relations, such as optimizing service, improving marketing campaigns, among others.
Find out: 5 characteristics that affect consumer behavior What is
What are the advantages of data mining?
The advantages of data maximizing growth with revenue operations mining include identifying consumer habits, obtaining profitable forecasts, encouraging informed decision-making and promoting continuous process improvement.
1. Facilitates the identification usa lists of consumer habits
If you’re an SMB, it can be easy to identify which products sell best or how often customers buy from you. But as your business grows and the volume of data increases, manual tracking becomes unfeasible.