Titlebook: Data Governance Success; Growing and Sustaini Rupa Mahanti Book 2021 The Editor(s) (if applicable) and The Author(s), under exclusive licen

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書目名稱Data Governance Success影響因子(影響力)




書目名稱Data Governance Success影響因子(影響力)學(xué)科排名




書目名稱Data Governance Success網(wǎng)絡(luò)公開度




書目名稱Data Governance Success網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Governance Success被引頻次




書目名稱Data Governance Success被引頻次學(xué)科排名




書目名稱Data Governance Success年度引用




書目名稱Data Governance Success年度引用學(xué)科排名




書目名稱Data Governance Success讀者反饋




書目名稱Data Governance Success讀者反饋學(xué)科排名

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Intervention and Control Groupsta governance is an ongoing endeavor and has several angles to it. Hence, implementing and sustaining the initiative can be challenging and time consuming. Data governance implementation in organizations is fraught with challenges and perceptions. It is important to understand the data governance pe

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Philippe Kachidian,Paolo Gubellinidiscusses the concept of data governance maturity and data governance maturity model. Several data governance maturity models have been proposed by different industry practitioners, which can be used as a guiding framework to baseline an organization’s data governance maturity, and set goals to move

Counteract

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Jose-Alberto Palma,Horacio Kaufmann need meaningful metrics to show progress periodically. A section in this chapter has been dedicated to discussing the characteristics of a good data governance metric. Organizations often do not realize that they are measuring a wrong metric. A few indicators that serve as warning signs and tell yo

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W. A. Knaus,D. P. Wagner,F. E. Harrellrganizations that seem to be less data centric, such as manufacturing and utilities. This is because data is important in every organization irrespective of the industry sector, and data governance ensures that data is treated as an asset. This chapter discusses data governance as a key success fact

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,Data Governance Journey—Introduction, detail in the second book of the series- Data Governance and Data Management. This chapter also presents the evolution of the data management discipline, the business drivers for data governance, data governance benefits and the key factors necessary for success of a DG program very briefly.