Data Management for Executives: Driving Business Value Through Data Governance
Improve operational efficiency Reduce risk and ensure compliance Standardize processes and policies Unlock measurable innovation
Online o in presenza
8 Hours
6 Modules
Data Management for Executives: Driving Business Value Through Data Governance
Data Management for Executives: Driving Business Value Through Data Governance
Improve operational efficiency Reduce risk and ensure compliance Standardize processes and policies Unlock measurable innovation
Improve operational efficiency Reduce risk and ensure compliance Standardize processes and policies Unlock measurable innovation

Online or on-site
8 Hours
6 Modules
This course is designed for executives and managers who want to make better use of data within their company. In 8 hours, you’ll learn how to define rules, roles, and processes to manage data in an organized and secure way, and how to engage teams to make faster decisions and improve efficiency and innovation.
This course is designed for executives and managers who want to make better use of data within their company. In 8 hours, you’ll learn how to define rules, roles, and processes to manage data in an organized and secure way, and how to engage teams to make faster decisions and improve efficiency and innovation.
Program
Follow-up included
Strategic skills
Generative AI
Materials included
Program
Modulo 1
Introduction to data governance and data culture
- The meaning and importance of data as a strategic corporate asset.
- An overview of the fundamental principles of data governance and data culture.
Modulo 2
Data characteristics, challenges, and benefits
- A comparison between structured and unstructured data, and an understanding of the challenges related to storage, volatility, and privacy.
- An in-depth look at specific issues such as managing noise, missing data, and the challenges posed by collecting data through sensors and human sources (e.g., surveys).
Modulo 3
Building a data culture within the company
- Strategies to encourage informed and responsible use of data among employees.
- Methods to promote data literacy at all organizational levels.
Modulo 4
Internal communication and employee engagement
- Techniques to effectively engage employees and educate them on the importance of data.
- Examples of internal communication initiatives that have led to greater engagement.
Modulo 5
Best practices in data management
- An overview of modern approaches and tools for effective data governance.
- Implementing data security policies and regulatory compliance.
Modulo 6
Ethics and compliance in data handling
- Discussions on ethics and regulatory compliance in the context of data governance.
- Strategies to ensure that data use meets legal and ethical requirements.
Objectives
The course is designed for executives and managers interested in understanding and implementing a data-driven corporate culture. The main objectives include:
01.
Understand the importance of data governance and data culture in business contexts.
02.
Learn how to build and promote a data-driven corporate culture to improve decision-making.
03.
Explore effective internal communication and employee engagement strategies.
04.
Identify and apply best practices in data management to keep the company competitive.
01.
Understand the importance of data governance and data culture in business contexts.
02.
Learn how to build and promote a data-driven corporate culture to improve decision-making.
03.
Explore effective internal communication and employee engagement strategies.
04.
Identify and apply best practices in data management to keep the company competitive.
Objectives
The course is designed for executives and managers interested in understanding and implementing a data-driven corporate culture. The main objectives include:
01.
Understand the importance of data governance and data culture in business contexts.
02.
Learn how to build and promote a data-driven corporate culture to improve decision-making.
03.
Explore effective internal communication and employee engagement strategies.
04.
Identify and apply best practices in data management to keep the company competitive.
The minds
behind the courses
Our instructors are internationally renowned university researchers with extensive experience in the field of AI. The courses combine rigor, real-world cases, and a focus on the concrete challenges organizations face.
PROFESSORS

Antonello Rosato
PhD, AI Researcher
Internationally renowned AI researcher driving business innovation. Expert in forecasting and anomaly detection.

Andrea Ceschini
PhD, AI Researcher
Management engineer and AI Researcher in quantum computing. From business strategy to qubits.

Francesco Di Luzio
PhD, AI Researcher
AI researcher specialized in image analysis, with a knack for turning data into value.

Antonello Rosato
PhD, AI Researcher
Internationally renowned AI researcher driving business innovation. Expert in forecasting and anomaly detection.

Andrea Ceschini
PhD, AI Researcher
Management engineer and AI Researcher in quantum computing. From business strategy to qubits.

Francesco Di Luzio
PhD, AI Researcher
AI researcher specialized in image analysis, with a knack for turning data into value.
Book the course
Request course information
Fill out the form to receive more details about the course you’re interested in. One of our experts will contact you within 24 hours to walk you through the program, share the available dates, and answer any questions you may have. Together we’ll find the training solution that best fits your needs, including customized options for your team.
RESULTS
What you’ll gain
by the end of the course
Governance Model
Data Culture
Internal Engagement
Data Best Practices
A practical data governance model applicable within the company.
A strategy for building a data culture and widespread data literacy.
Internal communication techniques to increase adoption and engagement.
Best practices for managing structured and unstructured data and their critical challenges.
Governance Model
Data Culture
A practical data governance model applicable within the company.
A strategy for building a data culture and widespread data literacy.
Internal Engagement
Data Best Practices
Internal communication techniques to increase adoption and engagement.
Best practices for managing structured and unstructured data and their critical challenges.
Governance Model
A practical data governance model applicable within the company.
Data Culture
A strategy for building a data culture and widespread data literacy.
Internal Engagement
Internal communication techniques to increase adoption and engagement.
Data Best Practices
Best practices for managing structured and unstructured data and their critical challenges.
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