Big Data Analytics
The latest trend in the business world is the use of advanced analytical techniques in BigData: access to the growing amount of data and use computing power and innovative tools for analysis. From the evaluation of huge amounts of data, companies need to make decisions quickly in complex business settings.
The increased volume of data collected from various sources need faster processing power to accelerate the analysis and make the real benefit of combining massive data volumes.
ICT solutions tailored by CIT UPC proposing to exploit the favorable impact of BigData can be applied to different industries:
- The Energy sector, which requires improvements in the efficient use of energy resources. This situation has led to the widespread adoption of smart meters and other asset management practices to optimize energy use. But even after spending millions of € in the installation and maintenance of networks of intelligent energy, utilities around the world have not been able to exploit its full potential, mainly due to inability to obtain useful intelligence terabytes of data as a result of billions of smart meter readings.
We need management software capable of integrating with the smart meter to examine trends, consumption patterns and other factors between various network variables efficiently, predictive intelligence, alarms and customer management.
Suppliers of power utilities could reap the benefits of Big Data Analytics for predicting consumption, optimization of systems and fraud detection in Smart Grids.
- In the Health sector, which can take advantage of large reserves of available data for the entire health care system more efficient, robust and thus more effective:
- Predictive modeling for new drugs and research.
- Algorithms and statistical tools can predict disease patterns in many data sets and can increase the efficiency of clinical trials.
- Preventive disease management from the patient profile data and remote monitoring systems in real time.
- BigData analysis of historical data from patient medical records systems by advances in genomics and diagnosis of major diseases.
- In the Production sector, which requires operational improvements and optimization of process control to maintain competitiveness. The information obtained from the analysis of large volumes of data can help make the manufacturing process more efficient from design and production to distribution and promotion.
You can use large amounts of historical data as inputs to production even change the manufacturing process. Process control systems can also be seamlessly integrated with real-time data from sensors to help optimize the production process and reduce waste and operating costs.