Data Quality, Data Management & Data Governance Certificate

Welcome to Program: Data Quality, Management and Governance by MTF Institute

Course provided by MTF Institute of Management, Technology and Finance

MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on business & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.

MTF R&D center focused on research activities at areas: artificial intelligence risks in cybersecurity, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.

MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry.

MTF is present in 215 countries and has been chosen by more than 678 000 students.

Course Author:

Dr. Alex Amoroso is a seasoned professional with a rich background in academia and industry, specializing in research methodologies, strategy formulation, and product development. With a Doctorate Degree from the School of Social Sciences and Politics in Lisbon, Portugal, where she was awarded distinction and honour for her exemplary research, Alex Amoroso brings a wealth of knowledge and expertise to the table.

In addition to her doctoral studies, Ms. Amoroso has served as an invited teacher, delivering courses on to wide range of students from undergraduate level to business students of professional and executives courses. Currently, at EIMT in Zurich, Switzerland, she lectures for doctoral students, offering advanced instruction in research design and methodologies, and in MTF Institute Ms. Amoroso is leading Product Development academical domain.

In synergy between academical and business experience, Ms. Amoroso achieved high results in master microsoft word for business and career success, leading R&D activities, product development, strategic development, market analysis activities in wide range of companies. She implemented the best market practices in industries from Banking and Finance, to PropTech, Consulting and Research, and Innovative Startups.

Alex Amoroso's extensive scientific production includes numerous published articles in reputable journals, as well as oral presentations and posters at international conferences. Her research findings have been presented at esteemed institutions such as the School of Political and Social Sciences and the Stressed Out Conference at UCL, among others.

With a passion for interdisciplinary collaboration and a commitment to driving positive change, Alex Amoroso is dedicated to empowering learners and professionals for usage of cutting edge methodologies for achieving of excellence in global business world.

Data Quality

• Data quality refers to the overall condition of data and its fitness for use in business operations, decision-making, and planning. High-quality data is accurate, complete, consistent, timely, and valid.

Data Management

• This encompasses the processes, technologies, and policies used to acquire, store, organize, protect, and deliver data. It's about ensuring the right data is available to the right people at the right time.

Data Governance

• Data governance is the framework of policies, processes, and responsibilities that ensure data is managed properly. It defines who is accountable for data, how it should be used, and how it's protected.

Why are these concepts important for companies?

In data-driven world, companies that effectively manage and govern their data have a significant competitive edge. Here's why:

• Better Decision-Making: High-quality data leads to informed decisions, reducing the risk of costly mistakes.

Why is knowledge of these concepts important for business and IT experts and managers?

Both business and IT professionals need a solid understanding of data quality, management, and governance to:

• Bridge the Gap: IT experts understand the technical aspects of data, while business leaders grasp the strategic implications. Knowledge of these concepts allows them to collaborate effectively.

Data quality, management, and governance are no longer just IT concerns; they are critical for every aspect of a successful business. By understanding these concepts, business and IT professionals can unlock the true value of data and drive their organizations forward.