Being able to exploit the potential that IT tools offer companies today may seem complex, and this also happens for those who want to approach the so-called Data Analysis.
If it is true that Data Analysis can be the means to relaunch one’s business, some could find themselves in enormous difficulty, needing help knowing where to start.
Here, then, are some points of reference, thanks to which you can also begin to exploit this tool for your company or your professional activity.
Anyone can do data analysis
One of the first concerns that often grip those who want to start approaching the world of data analysis is the size of their company and also what may be the economic means available to the company itself.
However, unlike in other fields, the assumption that the cash investment should be high or it would not be worth it will be incorrect. You will have to leave this belief aside.
Anyone can do data analysis, even starting from a minimal reality and without having large means. It will be enough to start figuring out where to start and who to contact without worrying, for example, about not having the right data available or needing more.
Start doing data analysis from a question
One of the first points you will have to consider when you rely on a data analysis system will be the one dedicated to the question.
In fact, you should ask yourself why you are dedicating yourself to the analysis, what type of request you would like to respond to, and why.
Starting with this element, you will have much clearer objectives and know which questions your analysis will have to answer.
Once you have identified the question, you can begin to create a picture of the situation by identifying the means to arrive at a satisfactory answer.
From a more technical point of view, when you know what data you will need, you will also be able to understand if it is necessary to collect more information or if you already have enough useful data for your analysis.
In fact, speaking of data analysis, you can understand how essential it is to have something to analyze.
The steps to follow for data analysis
Subsequently, the moment you have acquired the necessary data, you can begin to implement the actual analysis.
We remind you that this, as has already been said, should be simple and should take only a few days: a lot will depend on the situation and what you need!
Don’t compare your data analysis system to anyone else’s. Take small steps to start seeing results.
For example, one of the first objectives you can set yourself could be to create a segmentation of your customers: with this system, you will already have a useful classification relating to those who have made purchases from you, with an indication of both their personal characteristics and their preferences.
Starting from this segmentation, you will also be able to understand which products are preferred and which, on the other hand, are often left aside. Therefore, you will have already taken a step forward on the road to data analysis.
After carrying out these first operations, you will discover how data analysis allows you to understand your customers and your business better. It will make it easier for you to identify your strengths and weaknesses than you ever thought possible.
Practical and simple applications of data analysis
An example that you can already start putting into practice on your journey toward implementing data analysis will be the following.
You could start making a list of your recent customers, pulling from your databases their essential information, such as name, gender, city, and any preferences expressed during their contact with you.
Subsequently, you can use this information to create simple mailing lists, thanks to which you can reach your customers in a targeted way: a mailing list for women, one for men, a list for recurring customers, and one for those who have not yet purchased the first.
Know that already doing this operation will have led you to carry out a data analysis process that will bring you not only excellent results but which will allow you, little by little, to go deeper into the subject and to apply it in an increasingly complex way to your business.
Also Read : Why Big Data And Machine Learning Will Be Essential To Drive The Growth Of App Development
