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  Estamos muy emocionados de compartir un hito significativo: Truecold.io ha sido seleccionado en la prestigiosa convocatoria Ports 4.0 en la categoría IDEAS . Este reconocimiento, impulsado por Puertos del Estado y las Autoridades Portuarias Españolas, nos impulsa a llevar nuestra visión de la cadena de frío digital al siguiente nivel. Pero eso no es todo. Nuestra idea ahora se materializa en una colaboración directa con uno de los actores más innovadores del Mediterráneo: BEST Hutchison Ports Terminal Barcelona . 🧊 ¿Qué es Truecold y por qué Ports 4.0? En un mundo donde el 80% de lo que consumimos se mueve en barco, la mercancía a temperatura controlada (alimentos, productos farmacéuticos, etc.) es vital. Truecold es una plataforma de software que funciona como un "cerebro digital" para la cadena de frío. Nuestro objetivo es simple pero ambicioso: dar a los cargadores y operadores logísticos una visibilidad completa y en tiempo real del estado térmico de sus producto...

Ens complau anunciar una notícia emocionant per a tota la comunitat catalanoparlant:   Truecold.io , la plataforma líder en gestió de cadena de fred per a productes sensibles, ara està disponible   en català . Aquest pas important ha estat possible gràcies al suport de fons públics, que ens han permès dur a terme la traducció i adaptació de la plataforma per a arribar a més usuaris i empreses que prefereixen interactuar en la seva llengua materna. Per què és important aquesta actualització? En un món cada cop més globalitzat, la capacitat d'utilitzar eines tecnològiques en la pròpia llengua és clau per a garantir l'accessibilitat, la inclusivitat i l'eficàcia en la gestió empresarial. Amb la traducció al català, volem reafirmar el nostre compromís amb les comunitats locals i oferir una experiència més propera i personalitzada als nostres usuaris. Què ofereix Truecold.io? Truecold.io és una plataforma innovadora dissenyada per a garantir el control i la traçabilitat de la ca...

Purpose of Data Analytics projects is very diverse. From process optimization up to new revenue streams. Today we are sharing which are main 6 project steps and key examples of each. Remember that failing in 1 of the steps can led to a complete project failure.  All are important and typically initial steps are the ones taking 80% of the effort (despite the last ones are more trendy nowadays) 1. Data collection The first step in any data analytics project is to collect the relevant data. This can be done from a variety of sources, such as databases, surveys, social media, and customer relationship management (CRM) systems. The type of data collected will depend on the specific goals of the project. For example, if a company is trying to improve its customer experience, they might collect data on customer satisfaction, website usage, and product reviews. 2. Data cleaning Once the data has been collected, it needs to be cleaned. This means identifying and correcting errors and incons...

  Data visualization is the process of using visual representations to communicate data. This can include charts, graphs, maps, and other types of visuals. Data visualization can be used to make complex data easier to understand and to identify patterns and trends. Data storytelling is the process of using data to tell a story. This involves using data to support a particular claim or argument, or to illustrate a particular point. Data storytelling can be used to persuade others, to educate them, or to simply entertain them. The importance of data visualization Data visualization is important because it can help us to: Make better decisions: By visualizing data, we can more easily identify patterns and trends. This information can then be used to make better decisions. Communicate data more effectively: Visual representations of data are often easier to understand than raw data. This makes data visualization an effective way to communicate data to others. Engage our audience: Vis...

We know that information and technology is becoming essential to success and that companies have an opportunity to collect more data than ever before, but... How can that information be used? Is this just another buzzword or does big data really adds value? Technology is becoming more essential to business success. It is clear your strategy needs to include the technology that supports your business and its customers, as well as how you manage data and people. If a company doesn't have these elements in place, it can struggle to compete in an increasingly competitive market. Data management strategies are becoming increasingly important as companies need more information from their customers. Businesses are sitting on a gold mine of potential data. Big data is an exciting business enabler. Companies are sitting on a gold mine of potential data. This treasure trove can be used to improve business in many ways: you can predict future outcomes, improve operational efficiency, customer...

ETL stands for Extract Transform and Load data in order to structure information in a way which is suitable for analytical purposes vs transactional database design. Potentially, combining multiple sources in a single target enabling cross data analysis. It has been a crucial part of analytics projects over the last 40 years - or even more, with the raise of Data Warehouses back on the 80's. 1. Why ETL or ELT are needed? The purpose of an ETL or ELT pipeline is to prepare data for analytics. To provide valuable insights, source data from various systems (CRMs, ERPs, social media platforms, external DB, etc.) needs to be moved and consolidated in a destination database. Heavy calculations or data modifications also take place during this process to streamline and facilitate data extraction. 2. What is ETL? The key defining feature of an ETL approach is that data is typically processed in-memory rather than in-database. An ETL pipeline is helpful for: Centralizing and standardizing d...