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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-quality-data-management-data-governance-certificate/
课程评论:没有评论
课程名称:数据质量、数据管理与数据治理证书 课程概述:欢迎参加MTF学院提供的《数据质量、管理与治理》项目。MTF学院是全球教育与研究机构,总部位于葡萄牙里斯本,专注于商业与专业混合教育(包括面授和在线)。MTF的研究与开发中心专注于人工智能、机器学习、数据科学、大数据、区块链、金融科技等领域的研究。这一课程的作者是亚历克斯·阿莫罗索博士,她在学术界和行业中均拥有丰富的背景,专长于研究方法、战略制定和产品开发。 这门课程将深入探讨数据质量、数据管理和数据治理的重要性。数据质量是指数据的整体状况及其在商业操作、决策和规划中的适用性,高质量的数据是准确、完整、一致、及时和有效的。良好的数据质量可以帮助企业做出准确的决策,避免资源浪费和机会损失。 数据管理包括用于获取、存储、组织、保护和传递数据的过程、技术和政策,确保在正确的时间将正确的数据提供给正确的人。有效的数据管理能够提高效率,帮助组织从数据资产中提取有价值的洞察,从而为企业创造战略优势。 数据治理是确保数据被妥善管理的政策、过程和责任框架。它明确了谁对数据负责、如何使用数据以及如何保护数据。良好的数据治理确保数据的完整性、合规性,并降低数据泄露或滥用的风险。 在数据驱动的世界中,有效管理和治理数据的企业能够获得显著的竞争优势:更好的决策、提高效率、增加收入、增强合规性和提升信誉。 本课程适合商业和IT专业人士,通过掌握数据质量、管理和治理的知识,他们能够有效弥合IT与商业之间的差距,推动创新,提高数据素养,降低风险,并自信地引导组织走向成功。数据质量、管理与治理已不再只是IT关注的问题,而是成功企业的关键所在。通过理解这些概念,商业与IT专业人员能够解锁数据的真正价值,推动组织的发展。
Welcome to Program: Data Quality, Management and Governance by MTF InstituteCourse provided by MTF Institute of Management, Technology and FinanceMTF 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, 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 business career, 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 QualityData 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.Why it's important: Poor data quality can lead to misguided decisions, wasted resources, missed opportunities, and even reputational damage.Data ManagementThis 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.Why it's important: Effective data management streamlines operations, improves efficiency, and enables organizations to extract valuable insights from their data assets. Think of it as the foundation for turning data into a strategic advantage.Data GovernanceData 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 it's important: Data governance ensures data integrity, compliance with regulations (like GDPR), and reduces risks associated with data breaches or misuse. It's like the guardrails that keep data safe and useful.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.Improved Efficiency: Streamlined data processes save time and resources.Increased Revenue: Data-driven insights can identify new opportunities, improve customer targeting, and optimize pricing strategies.Enhanced Compliance: Proper data governance ensures adherence to data privacy regulations, avoiding hefty fines and legal issues.Stronger Reputation: Trustworthy data builds trust with customers and partners.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.Drive Innovation: By understanding data's potential, they can identify new ways to leverage it for innovation and growth.Champion Data Literacy: They can promote data literacy within their teams, empowering everyone to make data-informed decisions.Mitigate Risks: Knowledge of data governance helps them understand and address potential risks associated with data.Lead with Confidence: In a data-centric world, leaders equipped with this knowledge can confidently steer their organizations towards success.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.