Our solutions focus on giving our clients
capabilities to optimize operations in Service Stations and Plants.
Tag: data
Big data and the traps of spurious correlations
In Spain, it is estimated that around 68% of industrial companies are considered "digital novices" or "digital followers", which indicates that they have not yet fully adopted digitalization in their businesses and need to do so to improve their competitiveness. When analyzing large data sets, we warn against finding spurious correlations, where variables may appear related without having real meaning or where a third variable could be influencing them. Therefore, it is essential to interpret the data with caution, remembering that correlation does not imply causation, and to be aware of how graphs and visualizations are constructed to avoid erroneous conclusions.
VIEW
Vista Oil & Gas decided to migrate to Google Cloud Platform services, with Zentricx being the partner chosen to support this process.
The ABC's of a data science process
The COVID-19 pandemic has negatively impacted the Spanish economy, especially SMEs with a lower degree of digitalization. The SME Digitalization Promotion Plan and European Union funds provide opportunities to accelerate digital transformation. Data science is key, 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 the results. You need a skilled team and a systematic approach to make the most of data and make informed decisions.
Data drives the connected apparel revolution
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 are sent through apps on smartphones, providing information on sports and health metrics. Examples include yoga pants that improve posture, socks that improve walking and running technique, and smart socks that detect ulcers. The smart clothing market is projected to reach $5.3 billion by 2024 due to growing demand and technological advancements in data capture and monitoring.
