Abstract | ||
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This paper introduces a reusable framework for analytics governance accelerating the use of data and analytics across organizations. The Analytics Governance Framework (AGF) is a set of guiding principles for streamlining the work of managers, analytics practitioners, and data management practitioners. The guiding principles of analytics work are designed to have check points where both managers and analytics practitioners work toward the same outcome. These principles facilitate communication and coordination on the project unique data requirements between practitioners of data management and analytics. This framework enables client organizations to optimize the number of analytics projects they are undertaking to achieve business transformation and to shorten the time of an analytics project to achieve the business impact. |
Year | Venue | Keywords |
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2017 | 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | analytics, governance framework, data management, big data, crisp-dm, data mining |
Field | DocType | ISSN |
Corporate governance,Computer science,Business impact,Guiding Principles,Artificial intelligence,Analytics,Big data,Data management,Business transformation,Machine learning,Process management | Conference | 2639-1589 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yamada, A. | 1 | 0 | 1.01 |
Michael Peran | 2 | 5 | 2.17 |