Transforming data into business knowledge

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Data science is a multidisciplinary area dedicated to transforming data into information, which will be translated into useful knowledge for business.


It can be divided into six fields: data capture, storage, preprocessing, visualization, processing, and data analysis.


1️⃣ Data capture: Data can be extracted in different ways such as web scrapping, IoT sensors, APIs…


2️⃣ Storage: Once these data are captured, they can be stored in relational databases, non-relational databases, and options like the Hadoop File System (HDFS) for Big Data environments.


3️⃣ Preprocessing: To extract knowledge from this data, it is necessary to eliminate noise, null values… and data that do not provide information or may worsen the results.


4️⃣ Visualisation: Data visualization ranges from a well-designed dashboard showcasing sensor inputs from an IoT environment to the ability to visually analyze the productivity performance of a company.


5️⃣ Processing: The processing of data focuses on discovering patterns, trends, and aims to predict customer behavior, among other functions.


6️⃣ Data analysis: Once knowledge about the company is obtained based on data, it is analyzed for coherence and potential improvement.