Magister’s new service: Scientific data analytics
February 1, 2024
Our new service concentrates on finding business advantages by analyzing process data. With machine learning, it’s possible to discover things that none of us have even been able to imagine until now.
For 20 years already, we have been researching demanding Telecom and Satcom technologies, developing algorithms, and building simulators in various international projects. During these decades, we have developed extensive expertise in handling and analyzing complex data.
Artificial intelligence, machine learning, and data analytics are burning hot topics right now – and for a good reason. Their potential applications span across a wide range of industries. That’s why we have decided to make our expertise available to our customers as a separate scientific data analytics service.
For example, in the logistics sector, the use of machine learning and data analytics can significantly change operating methods. Optimizing route planning with the help of machine learning not only makes transportation more efficient but can also save time and reduce fuel costs. By planning logistics more precisely, companies can avoid overcapacity, optimize the use of resources, and reduce operational costs. In addition, automations and making warehouse management more efficient with the help of data can significantly speed up delivery processes and reduce the possibility of errors.
In the healthcare sector, similar technologies can predict disease attacks, improve healthcare logistics and patient flow management, and automate and optimize equipment and inventory management. These methods can also bring considerable benefits to the business side, for example, by making processes more efficient, saving costs, and improving the quality of services, which promotes competitiveness.
In many organizations, there are huge amounts of data that can provide significant business advantages when utilized. Our scientific data analytics service helps companies get the most out of their data and find simple solutions to complex challenges.
Utilizing data is the key to developing a business
Today, consistent development is a prerequisite for business success, and data is the best basis for development. Scientific data analytics provides excellent opportunities for all aspects of development – understanding data better than ever before, and finding new ways to improve business.
- With the help of machine learning models and data, you can find various possibilities for efficiency and savings.
- Systems that learn from data collected through processes make business opportunities clearer and decision-making easier.
- With real-time data, you can react faster and optimize processes.
Complexity is no longer a problem
Some problems may seem impossible to solve because they consist of thousands of different variables. Machine learning offers solutions even to these complex challenges. Learning algorithms produce findings that help solve hidden problems, guiding data-based decision-making and development.
Machine learning can be used to generate benefits that are relevant to the business, tailored exactly to your organization’s needs. The benefits can be achieved by enhancing, optimizing, or creating completely new opportunities that are impossible to find and perceive with the human brain.
How could you benefit from scientific data analytics?
Tell us what are the problems you want to find a solution to – no matter how complex. We’ll help you get the most out of your process data and find the most efficient ways to reach your company’s future potential.
