Solving hard things: How Medifé built stable telehealth services in the midst of a global crisis
Tag: big data
OIL & GAS 5.0 (STATION 5.0)
Our solutions focus on giving our clients
capabilities to optimize operations in Service Stations and Plants.
ZENPOINT
The evolution in Document Management.
Resilience, efficiency and sustainability: three axes of digital transformation for the agricultural sector
The agricultural sector has an opportunity to move towards efficiency and sustainability by leveraging digital technologies. The use of Big Data, cloud data processing, satellite imagery, and IoT technologies such as sensors, autonomous vehicles, and drones can improve decision-making, increase efficiency in irrigation and livestock management, reduce waste, and contribute to sustainability. Digital technologies also make it possible to monitor gas emissions and provide transparency in the supply chain through Blockchain. The adoption of these technologies provides competitive advantages in the agricultural market.
PxQ Consultant
Consulting and content advice on Google Cloud Platform, achieving greater efficiency.
Industry 4.0: long live the reign of data
The Industrial Revolutions have transformed society and the economy throughout history. The Fourth Industrial Revolution is characterized by the use of data and artificial intelligence, with a high level of information exchange. Companies must migrate towards a data-centric relationship model, organizing and understanding information to meet customer needs and optimize information flows. Before digitizing, you need to organize your 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.
SMEs and Big Data: 4 axes to start 2023 with a solid data strategy
The majority of Spanish SMEs trust in digitalization and plan to invest in it in the next three years, however, they still need to carry out a digital transformation focused on the efficient management of large volumes of data. Using Big Data strategies can help these companies proactively address problems, generate new opportunities, improve operational efficiency, and build customer loyalty. However, SMEs face challenges such as the integration of different data sources and types, the need to process large volumes of data quickly, and the proper selection and preparation of data. To succeed in a Big Data strategy, SMEs must clearly define business problems, select and prepare the right data, store it securely, and perform extensive analysis to make data-driven decisions. The beginning of a new year is an opportune time to implement digital transformation and Big Data strategies, which requires a change in mentality and strategic focus in these companies.
Data as a motor for a new robotics
Compared to other fields, robotics has particular characteristics, because it aims to allow a physical agent to interact with the concrete world.
Are there differences between a CRM and a CDP?
Both CRM and CDP technologies are valuable tools, but for different purposes. While CRMs focus on managing customer interactions, CDPs focus on collecting and understanding customer behavior data. The choice depends on the specific needs of each company and sales and service oriented roles can benefit more from a CRM, while customer management strategy oriented roles can take better advantage of a CDP. Ultimately, it's important to assess what kind of information is needed and how it will be used to make more informed business decisions and deliver personalized customer experiences.
