In the data age, process digitalization in the 4.0 industry is helping to dynamize the production and logistics processes of companies.
The use of data and advanced analytics in a manufacturing company can currently lead to improvements of up to 40% in the company’s total gross margin.
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This example shows an improvement in decision making based on data, the automation of the planning process and the increase in the profitability of processes and, consequently, of the store.
Today, no one questions that ‘Internet of Things’ (IoT) is transforming the model of the relationship between consumers and providers. And there is no industry that is not affected. For example, IoT helps the insurance industry to improve their relationships with customers. In 2016, companies invested 700 billion dollars in IoT (hardware, software or services) worldwide.…
The deep digital transformation affecting industries such as finance and insurance has changed the business environment, giving companies the opportunity to increase business management productivity. The channels used to offer the companies’ products and services have been increased. As a result, the complexity of the design, definition and execution of commercial strategies has increased. This…
Technological advances have sparked interest of operational excellence companies during the few last years and have created has a new era in assets management. This is the impression of a majority of executives and managers whose businesses are based on the asset maintenance. They consider the possibility of using and analyzing extensive amounts of data…
In a hyperconnected and data-driven world, sectors like logistics have to reinvent themselves and adapt to new technologies. Not doing this meant that they can not be competitive in the logistics industry today. To be competitive in the logistics industry today is not an easy job. Many processes, professionals, material assets, and more actors, variables…
The current state of the hotel sector The race to exploit the large amount of data stored by companies has been very uneven across industries. The hotel sector is possibly one of the sectors that has not taken advantage of the boost in analytics in recent years unlike others, such as the travel sector, where…
Advanced Analytics is the latest technological revolution that has pushed the business world towards a deeper and more real vision of their businesses and the behavior of their customers. But this technology can only make a difference in an increasingly competitive and globalized market if we use all its potential. If we think of this…
In this second post, we cotinue to explain the meaning of other analytic disciplines such as prescriptive analytics or cognitive computing.
Prescriptive analytics has a big potential to be a disruptive power in business. Along with predictive data, prescriptive analytics can contribute valuable knowledge about what can happen in the future and automate decision-making to achieve business goals.
In recent years, the use of certain terms to refer to new technology trends has become normal. We can find plenty of news on artificial intelligence (AI), machine learning, Big Data and advanced analytics, for example. But what does each of these terms mean? And, what do they mean in a business sense?