Why Data Analysis is so important

The era of digitalization has contributed to an incessant generation of data, or big data, which, if analyzed correctly, can be key in business strategic planning. Making sense of this information and turning it into useful knowledge is key to increasing the competitiveness, and even profitability, of your company.

Data analysis can be the paradigm shift you need to transform your company.

Collecting and interpreting data enables your organization to make informed decisions, solve problems, streamline operations, improve products and services, predict trends, and more.

How Data Analysis is applied

The first and most important thing in the data analysis process is to determine its objective, that is, what you want to achieve. Specific questions are formulated depending on the problem you want to solve and the sector in which it is applied (business, finance, justice, science, medicine, administration).

Collecting data from different sources: interviews, surveys, observations, etc. Cleaning the raw data to avoid duplicates, errors or outliers and modeling and transforming it into a format suitable for analysis. Interpreting and analyzing the data will help us find patterns and trends that will serve to answer the questions at hand.

Tools used by data analysts

Python. One of the favorite programming languages ​​of analysts that has relevant functions in data analysis and machine learning

R another programming language with similar capabilities

Excel. Its simplicity and versatility make it one of the most popular tools for data analysis tasks

SQL. Programming language designed specifically to manage databases

Analysts often use a wide variety of tools to make their work more accurate and efficient. These tools range from programming languages ​​such as Python and R and other visualization software. Here are just a few of the most commonly used:

SAS. Software specialized in statistical analysis, visualization and mining. This system is characterized by its ability to efficiently manage large volumes of data and its versatility in statistical analysis

Power BI. Connect multiple data sources, create advanced visualizations, and share reports online

Tablaeu. Free data visualization tool that allows you to create interactive visualizations and control panels used in the Business Intelligence sector

DATA ANALYTICS