Descriptive and Predictive Data Analysis

Data analysis is a fundamental process in any field. It is used to highlight relevant information by describing data behaviour (or the functioning of an organisation or company and user behaviour) and to address uncertainty when making decisions. It consists of several stages: data exploration, transformation and examination to identify trends and patterns.

Data analysis can be applied to any field, including healthcare, business, education and others. In the business environment, it is commonly used to support strategic decision-making, improve operational efficiency and understand customer behaviour. In medicine, it helps with the early diagnosis of diseases and the identification of trends and patterns associated with different diseases. In government, it supports the development of evidence-based public policies. In addition, in personal contexts, data analysis is used in health and wellbeing applications, such as physical activity tracking and personal financial management.

Data analysis is now an essential process in any field due to its ability to support decision-making, provide a comprehensive view of a given situation and help gain a competitive advantage, optimise and improve processes or tasks, personalise products and services, predict and prevent future events, and more.

We have extensive experience in the fields of data mining and Machine Learning. We have participated in multiple projects for the Regional Government of Valencia, hospitals and companies from different sectors.

The knowledge to be transferred is available for immediate implementation in the market.

• Business and Corporate Sector (Finance, Retail, Logistics, Services).
• Technology and Digital Sector (Software and Platform Development).
• Healthcare Sector (Hospitals, Healthcare Centres, Pharmaceutical Industry).
• Public Administration and Government.
• Education and Academia.

Kristina Polotskaya – Centre for Operations Research