Data Driven Leadership: Leveraging Analytics and AI to Deliver Business Impact (2225.YR.015360.1)

General information

Type:	OPT	Curs:	1	Period:	S semester
ECTS Credits:	3 ECTS

Teaching Staff:

Group	Teacher	Department	Language
Year 1	Lluís Soldevila Vilasís	Operaciones, Innovación y Data Sciences	ENG

A general knowledge about Information Systems in organizations is required, but not a deep knowledge of technology nor computing skills.

Managers must understand how data can be applied to actionable operational insights, analyzing and leveraging data for their organizational strategy, from smart usage of publicly available sources to data visualization techniques that bring numbers to life.

In the this course participants will learn:

- How to apply data to forecasting, marketing, product development, business intelligence, and other core strategic goals to a particular business industry
- Understand the main concepts related to data for decision making without being a data engineer
- Identify how to leverage data for your organization based on the most valuable data sets.
- Communicate with top management about the discoveries and draw strategic responses

Understand the pillars of leading Digital Transformation leveraging analytics and AT by:
- choosing the right data
- build the right models
- transforming company's capabilities
- applying Digital Leadership

1. Session 1 - Data Driven Leadership in Banking Keynote: Banc Sabadell

2. Session 2 - Data Driven Leadership in Public Sector Keynote: Generalitat de Catalunya

3. Session 3 - Data Driven Leadership in Retail Keynote Speaker: MANGO

4. Session 4 - Data Driven Leadership in Entrepreneurship Keynote: BINANCE

5. Session 5 - Data Driven Leadership in Social Media Keynote speaker: Tik Tok

6. Session 6 - Data Driven Leadership in Health Keynote: GRIFOLS

7. Session 7 - Data Driven Leadership in Industry Keynote: SEAT

8. Session 8 - Data Driven Leadership in Foods and Beverages Keynote: Pepsi

9. Session 9 - Data Driven Culture Keynote: Google

The course is radical practical approach: the learning journey will happen through cases and keynote speakers.
Most of the business industries will be covered, with the aim of providing the student with a complete data analytics skill set.

The bibliography will be shared throughout the course based on articles and relevant content for each session.

Group	Teacher	Department
Year 1	Lluís Soldevila Vilasís	Operaciones, Innovación y Data Sciences