Data collection is not a simple matter, especially when it comes to your product or company.
An interesting way to start this stage is to find out what questions you need to ask to get the answers, and then focus on the necessary information you need to have.
This way you can have a much more effective collection, without wasting time on database folders that you don't need to be aware of at that moment.
Data structure
After collecting the necessary information, it is essential to structure it to facilitate the moment of analysis .
Some tools used in this stage are Excel or Power BI.
This is the phase of the strategy where you will transfer the data to a place where it can 99 acres data facilitate the viewing of the collected information.
If you have a single source and it offers a .csv extraction, Excel is recommended, since it allows you to organize the data in columns to generate essential graphs and tables at the time of analysis.
In a more advanced and automated strategy, the use of Power BI facilitates the centralization of information, in addition to delivering the data in a layout already predefined by you or your team.
With the data clearer to visualize, it is time to analyze the information you have.
Here it will be possible to understand graphical anomalies or line trends through the use of statistical knowledge .
In predictive analysis, if the fact to be analyzed is a recurring action, as in the example already cited in this text, it is possible to perform anomaly analysis on the generated graph.
This is the time to understand, for example, the month in which you have the highest rate of plan cancellations, in order to come up with a more effective action plan.
If you want to understand a trend, such as the growth of your blog traffic, you can use basic statistical strategies to understand what the future holds for your data.