To begin with, when we use the term data, we are referring to data. Indeed, the latter is defined as information that can be processed and stored on a computer system. Today we are evolving in an ultra-connected world, which implies a significant flow of data. Especially since each company has data linked to its activity and its employees. There is a practice called data analytics which consists of analyzing this data. The interest is to understand a situation and be able to improve it through logical choices. Indeed, a company that analyzes its data can implement strategic decisions based on concrete elements allowing it to optimize its situation.

The term data analytics, which can be abbreviated as DA, is used to talk about data analysis. The goal is to examine so-called “raw” data in order to draw conclusions. Used in many industries, this practice allows you to make better decisions.

The main objectives of data analytics are:

En ce qui concerne les données, elles peuvent être de toutes sortes. Les données sont traitées par la data analyst qui est le poste clé dans l’activité de la data analytics.

For all you number lovers like Russell Crowe in “A Beautiful Mind,” data analysis is for you.

Once the data is processed by the data analyst, trends can be observed and measures can be implemented. These processes are beneficial for the company. Data analysis provides many benefits such as the following.

Allows you to eliminate or optimize many steps related to repetitive processes. Automating tasks and eliminating human errors allows for significant time savings.

Data analytics tools allow you to select specific criteria and determine trends. Analyzing this data helps to express a wide range of forecasting processes.

Automation and reliability gains are linked. Automating processes reduces human action, thereby reducing the risk of errors, and therefore increasing reliability.

The first step is to define the current situation of the company. You must succeed in establishing a problem before thinking about collecting data. To do this, it is necessary to take a step back and better understand the different factors governing your business. If your data analytics mission comes from a request from a superior, you must translate this request into a problem. Your problem must be able to be solved via data analysis.

To determine the data that will be useful for your analysis, you need to determine key performance indicators (KPIs). There are a large number of indicators that you can use depending on your situation. To see more clearly, let's take the example of an email campaign. Regarding your emails, here are the different KPIs that you can analyze:

Open rate: Indicates the number of recipients who opened the email sent. Click rate: Indicates the percentage of recipients who clicked on one or more links in the email sent. Unsubscribe rate: Indicates the percentage of recipients who unsubscribe after opening your email. Conversion rate: Indicates the number of recipients who perform a specific action after opening the email (a registration, a purchase, etc.).

If you would like to know more about email marketing, we invite you to consult our page dedicated to this service.

Statistics are an effective way to understand your business and progress. To be sure, we recommend "The Strategist", an excellent film with Brad Pitt and Jonah Hill based on a true story.

Now that you have identified the data you want to analyze, you need to choose a data processing tool. Your choice should be based on your needs. However, it is not enough to have a good tool to analyze your data, you also need to interpret the results and have a space to store all the data. In order to have an optimal result, we advise you to collaborate with an agency that can analyze your data and propose a strategy accordingly.