Percorso di apprendimento

Gain the strategic framework, leadership vision, and interpersonal skills needed for effective data management

ISCRIVERSI IN QUALSIASI MOMENTO

Iniziare quando si è pronti

DURATA

9 mesi, Online

PREZZO

EUR 3100

EUR 2400

CONTENUTO

3 Courses

Per vedere tutti i prossimi corsi, consultate il calendario qui sotto.

Il vostro viaggio inizia con il primo corso disponibile dopo l'iscrizione.

Note: The “Comparing Frameworks” course is offered in a self-paced format. As it doesn’t follow a fixed schedule, it won’t appear on the calendar. You can start it at any time and progress at your own pace.

Risultati dell'apprendimento

Viaggio di apprendimento

This three-course training program builds internationally recognized expertise in data management through the prestigious DCAM certification, practical leadership development, and in-depth knowledge of the leading data management frameworks.

This course explores the DCAM framework by EDM Council, providing a practical, real-world approach to sustainable data management through capabilities such as data architecture, quality control, and governance, while demonstrating how the model delivers measurable business value across industries.

This course explores the role of personality in data work, helping participants understand themselves and others to enhance collaboration, communication, and effectiveness across all data-related activities.

This course helps data professionals compare and understand the leading data management frameworks—DCAM, CDMC, and DAMA—providing guidance on selecting and leveraging the most appropriate model for their organization’s data governance strategy.

Perché iscriversi a questo corso?

DCAM Framework: The most important and internationally adopted framework for enterprise-level data management excellence.

Data & Personality Course: A one-of-a-kind program that merges data strategy with the human factor for deeper decision-making.

In-Depth Knowledge: Master the key data management frameworks, models, and standards shaping the industry.

Self-Paced Flexibility: Learn at your own rhythm — access all course content anytime within 12 months of your enrolment date.

Panoramica del corso

Esperienza di apprendimento

Leadership

Mastering DCAM means acquiring the highest level of practical expertise in data management.

Psychology

Learn how to better understand your colleagues and collaborators to drive the success of your data projects.

Automomy

The e-learning components allow you to manage your learning time flexibly and independently.

A chi è rivolto?

La formazione professionale FIT Academy in numeri

Partecipanti ai nostri corsi
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Aziende trasformate
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Presenza nel Regno Unito, in Italia, Spagna,
, Arabia Saudita e Sud America.

Profilo dei partecipanti passati

I partecipanti al Professional Certificate Program in Digital Transformation hanno un'ampia gamma di background, settori ed esperienze. Questa diversità all'interno della coorte garantisce la possibilità di confrontarsi con professionisti che la pensano allo stesso modo e di acquisire nuove conoscenze per affrontare le sfide specifiche della vostra organizzazione.

Anni medi di esperienza lavorativa

Industrie top

Funzioni top

Domande frequenti

DCAM is an industry-recognized framework that defines best practices and capabilities for effective data management. It helps organizations assess, improve, and govern their data strategy and operations.

The main goal of the Data Manager Path is to provide advanced-level skills to professionals involved in the management and value creation of data within organizations.

This is an innovative course focused on understanding the personality traits of colleagues and team members that can significantly influence the success—or failure—of data and AI projects.

This course offers a comparison of the main data management frameworks, enabling participants to develop their own critical perspective on the various approaches to managing data effectively.

By the end of the program, you will have developed deep expertise in data management, along with a rarely addressed focus on the human factor, gaining practical strategies to better understand and manage people in data-driven environments.

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