DATA ANALYSIS
WE ANALYSE IN DETAIL
for OPTIMAL decisions
Data analytics aims to uncover useful information, draw conclusions and support decision making. It is a fundamental discipline, from data science and business intelligence to scientific research and decision making in general.
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WHAT IS INCLUDED:
DEFINITION OF OBJECTIVES
We help to establish the objectives of the analysis: what questions do you want to answer or what problems do you want to solve?
DATA COLLECTION
Collect relevant data for your analysis. This can come from a variety of sources, such as databases, surveys, registers, etc.
DATA CLEANSING
This action involves identifying and correcting problems to ensure that data is accurate and reliable.
DATA EXPLORATION
We conduct exploratory analysis to understand your data. This may include creating graphs, statistical summaries and identifying patterns or trends.
DESCRIPTIVE ANALYSIS
We use relevant statistics and metrics. This will help you understand the distribution of data and key values.
INFERENTIAL ANALYSIS
We use statistical techniques to draw conclusions beyond the observed data. This could include hypothesis testing and predictive modelling.
DATA VISUALISATION
We generate graphs and charts to help identify patterns and trends more intuitively.
DATA MODELLING
We can create mathematical or statistical models to predict or better understand phenomena based on your data.
RESULTS
We develop conclusions and recommendations based on the findings. How does the data respond to your initial objectives?
Data analysis is an interdisciplinary doctrine that uses a variety of tools and techniques, ranging from specialised software (such as R) to statistical and mathematical expertise. In addition, ethics and data privacy are very important considerations in data analytics.
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Professionals with practical experience in different sectors (nationally and internationally). Accustomed to managing internal resources and subcontracted companies simultaneously, guaranteeing the initial budget requested by the client.
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