DATA ANALYTICS
Data analysis refers to the qualitative and quantitative techniques and processes used to anticipate needs, personalize content, improve productivity and to optimize the user experience.
WHY DATA ANALYSTS?
Making the right decisions with a high impact on the results is what every leader wants. For this to be achieved, data analysis techniques provides a pathway to defining the efficiency of a strategy in detail and anticipate opportunities.
PREDICTIVE
It allows us to prepare for actions that are likely to occur in the future.
DESCRIPTIVE
It reflects what has happening historically. .
DIAGNOSTIC
It looks for why the problem presented in the analysis occurred.
PRESCRIPTIVE
It takes the information that has been predicted and prescribes the next calculated steps to be taken.
WHY DATA ANALYTICS?
Data Analyst is a professional profile that can establish strategies within a company thanks to the interpretation of the data.Â
CURIOSITY
An important characteristic, considering the enormous amount of data that organizations store and must handle.
PROFILE
The Data Analyst is an expert in Mathematics and Statistics, handling numbers, understanding them, and interpreting them to the business for which they work.
RESOLVE
The Business Data Analyst stands out for knowing how to solve the problems that appear, one of the points that characterize a good worker.
RESOLUTION
Leveraging data from multiple sources (web analytics data, user feedback, server logs, etc.) provides inquisitive analysts with the resources needed to identify potential technical problems and quickly resolve them.
ADAPTION
The rapid ability to adapt to a organization that uses Big Data, regardless of the sector in which it operates, is another reason company positively value the data analyst's profile.
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