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Data Management and Governance Services
Data Management and Governance Services
Knygos.lt klubas Knygos.lt nariams
25,40 €
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36,29 €
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Organizations across industries are embracing data management and governance practices - primarily driven by regulation and value creation by monetization. However, it is important to set up a data office while the firm must ensure the sustenance of such function. Moreover, data governance is a pervasive enabler that supports a firm's corporate governance principles. Tejasvi Addagada, through the book, highlights how an Enterprise can: - Overcome challenges in data offices today - Create a data…

Data Management and Governance Services (el. knyga) (skaityta knyga) | knygos.lt

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Organizations across industries are embracing data management and governance practices - primarily driven by regulation and value creation by monetization. However, it is important to set up a data office while the firm must ensure the sustenance of such function. Moreover, data governance is a pervasive enabler that supports a firm's corporate governance principles. Tejasvi Addagada, through the book, highlights how an Enterprise can: - Overcome challenges in data offices today - Create a data management strategy and capabilities to traverse data maturity - Set up metadata and data quality management as services - Formalize governance as a function through an operating model, based on an enabling culture - Define a benefits realization model to assess and monitor the value of managing and governing data .

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Organizations across industries are embracing data management and governance practices - primarily driven by regulation and value creation by monetization. However, it is important to set up a data office while the firm must ensure the sustenance of such function. Moreover, data governance is a pervasive enabler that supports a firm's corporate governance principles. Tejasvi Addagada, through the book, highlights how an Enterprise can: - Overcome challenges in data offices today - Create a data management strategy and capabilities to traverse data maturity - Set up metadata and data quality management as services - Formalize governance as a function through an operating model, based on an enabling culture - Define a benefits realization model to assess and monitor the value of managing and governing data .

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