Приклади вживання Data governance Англійська мовою та їх переклад на Українською
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Data Governance.
MSc Cyber Security and Data Governance.
Cyber Security and Data Governance Security.
Data Governance: Data  management as a critical corporate asset.
Learn more about all of these data governance updates at the Tech Community blog.
Make the connection between business goals and data  analytics,including data  strategy and data governance.
The MSc in Cyber Security and Data Governance Security will teach you about today's digital world.
Data governance and processing required data  to ensure the accessibility, reliability, and timeliness of the data  for its users.
Our Data PrivacyProgram is established to maintain a global data governance structure and secure information throughout its lifecycle.
It is ideal for students who have an interest in developing an in-depth specialist knowledge anda critical understanding of the key aspects of cyber security and data governance.
The MSc Cyber Security and Data Governance course focuses on a combination of technology, business and policy.
In contrast, the United States wants rules that protect the free flow of data  and digital goods andservices within a broader framework that allows different data governance systems to work together.
The MSc Cyber Security and Data Governance course focuses on a combination of technology, business and policy.
This course will equip students with the skills to manage and analyse an organisation's data  assets and security measures,and provide an understanding of data governance principles, practices and technologies.
Patrick further highlights how a proactive data governance strategy can help organizations react to regulations such as GDPR with precision when required.
There's a lot to the catchphrase“facts are free”(as in free speech), but maybe this is only a catchphrase among those who think too much about the legalities of databases,or even more broadly(and more wonkily), data governance.
Leverage our deep expertise in data governance and business intelligence to build a long-term strategy that drives and accelerates your digital initiatives for long term growth.
As the world's leading supplier of telecommunications equipment, Huawei stands ready to address theEU's concerns about a whole range of issues, from data governance and AI ethics to the management of supply chain risks for equipment used in Europe's critical infrastructure and digital systems.
Establish a data governance model between business operations and IT. Prepare to support massive data  flows, and lay the foundation for all business intelligence(BI), analytics, and AI applications.
Although the database is a national system, strict data governance means personal details can only be accessed by staff involved directly in an individual's screening process.
Data governance is becoming ever important to businesses as they strive to meet the needs of regulatory compliance measures such as Sarbanes-Oxley, Basel II and most recently MiFID.
In today's world of data governance, web services, regulatory compliance and heightened information security, data  architects are asked to build much more than the classic data  dictionary.
The scope of data governance  extends beyond the data  architecture team and it is very important that both the architects andmodellers are involved with the data governance initiatives to ensure the business is aligned correctly.
A proactive data governance strategy of classification of personal and sensitive data  enables you to respond with precision when you need to find the relevant data  to satisfy a regulatory request or requirement like a Data Subject Request(DSR) as a part of GDPR.
Data Strategy and Governance.
However, without a workable data  strategy and vigilant governance, data will never realize to its potential- nor meet the myriad of expectations from various stakeholders.
Establish a system of data exchange on land governance among the state authorities;
Rather than acquiring data  protection products and trying to adapt them to suit the business need,companies should address data  security through a data security governance framework(DSGF).
Instead of purchasing data  security products and adapting them to the needs of the enterprise, leadingcompanies are beginning to address data security through a Data Security Governance Framework(DSGF).