Data visualization tools are a great ally in data strategies but require literacy to avoid biases and pitfalls.
Data visualization tools are a great ally in data strategies but require literacy to avoid biases and pitfalls.
The fashion of the future focuses on the functionality of smart clothing, which
integrates electronic components and sensors into fabrics. These sensors capture data from the human body and send it through smartphone applications, providing information on sports and health metrics. Examples include yoga pants that improve posture, socks that enhance walking and running techniques, and smart socks that detect ulcers. The smart clothing market is projected to reach USD 5.3 billion by 2024 due to growing demand and technological advancements in data capture and monitoring.
The COVID-19 pandemic has negatively impacted the Spanish economy, especially affecting SMEs with lower levels of digitalization. The Plan to Boost the Digitalization of SMEs and EU funds provide opportunities to accelerate digital transformation. Data science is crucial, using data to make dynamic decisions and gain insights. The data science process involves defining the problem, preparing and studying the data, creating and validating models, and visualizing results. A skilled team and a systematic approach are necessary to fully leverage data and make informed decisions.
