Collection of necessary data
Posted: Sun Jan 19, 2025 9:54 am
With your goals defined, it's time to get down to business! This is one of the main parts of predictive analysis, after all, without data there is no analysis. Therefore, it is necessary to think about how your company's data can be collected effectively.
It is important to note that collecting data is not a simple task and can be a very time-consuming step, especially if the company does not invest in the necessary technology. Therefore, it is worth making sure that the data collected comes from reliable sources and is used with appropriate software.
Defining objectives can make everything easier at this stage too, since here, the company can focus on obtaining only the information necessary to run the analysis , without wasting time with other data that will not be used.
3. Structuring and grouping collected data
Once all the data needed for analysis has been collected, you need at&t email list to create a structure that will simplify the overview of all the information.
At this stage, the company will probably need some tool that allows it to group this data. Here, specific software can be used, but Microsoft Excel itself can help with this task.
4. Analysis of the data obtained
When you structure and group the data, it will start to make sense, and that's when the actual analysis begins!
This is a step that is usually laborious, but it will be worth it, as it is here where it will be possible to understand all the information collected and analyze anomalies, patterns and trends.
At this stage, you can try to understand, for example, the best months for purchases, the period in which there was the highest number of cancellations and, therefore, think of actions to encourage or discourage these occurrences.
It is important to remember that the analysis must be in line with the defined goals. This does not mean that if other useful information is found that is not within the main objective, it will be discarded. The point is to initially focus on the main goal, but to obtain insights that can help with other company goals.
It is important to note that collecting data is not a simple task and can be a very time-consuming step, especially if the company does not invest in the necessary technology. Therefore, it is worth making sure that the data collected comes from reliable sources and is used with appropriate software.
Defining objectives can make everything easier at this stage too, since here, the company can focus on obtaining only the information necessary to run the analysis , without wasting time with other data that will not be used.
3. Structuring and grouping collected data
Once all the data needed for analysis has been collected, you need at&t email list to create a structure that will simplify the overview of all the information.
At this stage, the company will probably need some tool that allows it to group this data. Here, specific software can be used, but Microsoft Excel itself can help with this task.
4. Analysis of the data obtained
When you structure and group the data, it will start to make sense, and that's when the actual analysis begins!
This is a step that is usually laborious, but it will be worth it, as it is here where it will be possible to understand all the information collected and analyze anomalies, patterns and trends.
At this stage, you can try to understand, for example, the best months for purchases, the period in which there was the highest number of cancellations and, therefore, think of actions to encourage or discourage these occurrences.
It is important to remember that the analysis must be in line with the defined goals. This does not mean that if other useful information is found that is not within the main objective, it will be discarded. The point is to initially focus on the main goal, but to obtain insights that can help with other company goals.