Business Analytics & Data Science Lab

Powering better decisions

Business analytics and data-driven decision-making are no longer optional – they are essential for companies aiming to stay competitive in today’s fast-paced, digital landscape. The Iscte Business Analytics & Data Science Lab acts as a strategic bridge between Iscte’s multidisciplinary research expertise and the business community. By fostering collaborative projects, the Lab promotes cutting-edge research, hands-on training, and active knowledge transfer in the fields of Business Analytics and Data Science.

Using advanced analytics tools, statistical modelling and data science techniques, the Lab partners with companies to co-create evidence-based solutions across a wide range of business areas. These collaborations are designed to help companies unlock the full potential of their data, driving more effective and impactful decision-making.

The Iscte Business Analytics & Data Science Lab is committed to empower businesses with the insights and capabilities they need to thrive in an increasingly digital, complex and dynamic ecosystem.

Mission

The Business Analytics & Data Science Lab’s mission is to promote the digital transformation of companies by combining academic excellence with real-world applications, developing innovative methodologies and tools that empower companies to make data-based decisions in the various fields of business management.

Objectives

Leverage Data Science and Computational Statistics

Apply advanced statistical modelling and data science techniques to improve and optimise management processes.
Foster a data-driven culture

Promoting a shift in companies towards a culture where data-driven analysis, statistics and insights are key to achieve management objectives.
Facilitate knowledge exchange

Strengthening the sharing and dissemination of knowledge, promoting collaborations and strategic partnerships with different companies.
Enhance competitiveness and sustainability

Contribute to the competitive advantage and sustainable growth of companies through data-driven strategies.

Areas

Data integration and standardization

Access and consolidate data from multiple sources and external databases and transform them into a common format that can be easily queried and analyzed.
Data visualization and reporting

Present the data in a clear and interactive way (e.g., charts, dashboards, and reports) that can be customized and filtered according to companies’ needs and preferences.
Data analysis and intelligence

Apply advanced analytical techniques, such as predictive and prescriptive analytics, to the data, and generate actionable insights and recommendations that can help companies improve business performance, quality, and profitability.