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What is Data Governance

Big Data Governance and Perspectives in Knowledge Management
The processes and technical infrastructure that an organization has in place to ensure data privacy, security, availability, usability, and integrity.
Published in Chapter:
Big Data Governance in Agile and Data-Driven Software Development: A Market Entry Case in the Educational Game Industry
Lili Aunimo (Haaga-Helia University of Applied Sciences, Finland), Ari V. Alamäki (Haaga-Helia University of Applied Sciences, Finland), and Harri Ketamo (Headai Ltd., Finland)
Copyright: © 2019 |Pages: 21
DOI: 10.4018/978-1-5225-7077-6.ch008
Abstract
Constructing a big data governance framework is important when a company performs data-driven software development. The most important aspects of big data governance are data privacy, security, availability, usability, and integrity. In this chapter, the authors present a business case where a framework for big data governance has been built. The business case is about the development and continuous improvement of a new mobile application that is targeted for consumers. In this context, big data is used in product development, in building predictive modes related to the users and for personalization of the product. The main finding of the study is a novel big data governance framework and that a proper framework for big data governance is useful when building and maintaining trustworthy and value adding big data-driven predictive models in an authentic business environment.
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Scalable Data Warehouse Architecture: A Higher Education Case Study
Data governance refers to the overall management of the availability, usability, integrity and security of the data employed in an enterprise. Sound data governance programs include a governing body or council, a defined set of procedures and a standard operating procedure.
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Cloud Analytics: Introduction, Tools, Applications, Challenges, and Future Trends
Organizations need to establish effective data governance policies and procedures to manage their data in the cloud.
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Enterprise Data Lake Management in Business Intelligence and Analytics: Challenges and Research Gaps in Analytics Practices and Integration
The management of data throughout its entire lifecycle in the company to ensure high data quality. Data Governance uses guidelines to determine which standards are applied in the company and which areas of responsibility should handle the tasks required to achieve high data quality.
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Business Intelligence
It is a combination of people, processes and technology that drives high-quality, high-value information. The technology portion of data governance combines data quality, data integration and master data management to ensure that data, processes, and people can be trusted and accountable, and that accurate information flows through the enterprise driving business efficiency.
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Big Data, Data Management, and Business Intelligence
Is a combination of people, processes and technology that drives high-quality, high-value information. The technology portion of data governance combines data quality, data integration and master data management to ensure that data, processes, and people can be trusted and accountable, and that accurate information flows through the enterprise driving business efficiency.
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Analysis of Ethical Development for Public Policies in the Acquisition of AI-Based Systems
Is the set of processes, responsibilities, policies, standards, or metrics integrating the availability, usability and security of these in business systems.
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Business Intelligence
It is a combination of people, processes and technology that drives high-quality, high-value information. The technology portion of data governance combines data quality, data integration and master data management to ensure that data, processes, and people can be trusted and accountable, and that accurate information flows through the enterprise driving business efficiency.
Full Text Chapter Download: US $37.50 Add to Cart
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