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Data analysis: What is it and why might you need one?

22 Dec 2022. 12:33
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  • SME maturity
    1. Inteligencia de Negocio (Big Data y D&A)
    Scope to digitize
    1. Business processes

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Data can be an important asset for your business and understanding it in depth is an important step to get the most out of it. Do you have the right person to do it? Find out in this post!

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Análisis de datos

As we have commented on other occasions, being able to carry out a correct data analysis is of the utmost importance. This is because it can be a great and significant strategic advantage for your business compared to others. In addition, having controlled, understood and processed business data will help you to really know your niche market, which will be reflected in your future sales.

However, transforming data into business intelligence in order to promote a data-driven culture in a company can be difficult for someone who does not have the necessary resources and knowledge. This is where a data analyst can come in handy, as they can gain insight and understanding of your business information more efficiently.

Want to know more about a data analyst? Then read on to find out more.

What is a data analyst and what does he/she do?

The data analyst, also known as Big Data Analyst, is a professional profile that is basically in charge of converting raw data into practical and valuable information for the business.

In other words, their duties include working with a large amount of data, interpreting it and finding patterns in it in order to carry out strategies or actions based on the information obtained.

A data analyst must know how to collect data as well as analyse it statistically.



What is the importance of data analysis?

Data analysis helps businesses, and businesses in general, to gain better visibility and knowledge of all their processes. Without the right knowledge, especially if the task has not been started and the work is to be started, it can be a great effort to perform segmentation of information.

Thanks to data analysis, businesses can access the necessary concrete information to facilitate decision-making. This information is used to implement actions such as creating personalised customer experiences, creating product promotions related to users' interests, optimising operations and increasing the productivity of various processes.

In other words, we can summarise that a correct data analysis can bring us the following advantages:

  • It simplifies and optimises complex processes.
  • It facilitates decision making as it allows us to recognise the most appropriate opportunities.
  • Improves customer satisfaction.
  • It helps monitoring and management tasks, making it possible to eliminate human errors.


What is data analysis?

Data analysis consists of a series of steps which are explained below:

  1. Data collection

It consists of identifying the various sources of data, collecting them and entering them into a storage system. Data can be collected continuously or through separate events or occurrences.


  1. Data preparation or processing

This stage is based on the data preparation strategy. Once data is stored, it is processed, sorted and cleaned so that it can be transformed into information that can be easily accessed or queried.


  1. Data analysis or exploration

After having processed the data, the next step consists of the process of studying and investigating the data through sampling, statistical analysis, identification of patterns or elaboration of graphs or visual profiles, among others.


  1. Action or decision making

After having entered, prepared and analysed the data, the next step is to create a data visualisation tool or report in order to make a decision based on the results of the analysis.

As you can understand, the process of data analysis can be time-consuming and requires some knowledge. For this reason, a data analyst can be useful to process and interpret this information. But what characteristics should you look for in a data analyst?


What should a data analyst have?

  • Curiosity and critical thinking to be able to analyse and interpret data.
  • A professional profile in the areas of numbers and mathematics.
  • Ability to solve problems.
  • A versatile profile that adapts to different sectors.

Taking all this into account, we can conclude that data analysis is a process that allows us to obtain certain valuable information that helps us to improve decision-making and optimise processes. That is why, to achieve this, we recommend having the support of a professional data analyst to help you take a step further towards digital transformation. What are you waiting for?


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