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Self-Service Data Analytics and Governance for Managers

Self-Service Data Analytics and Governance for Managers

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Description
Help your firm's end-users make sense of self-service data analytics tools

In Self-Service Data Analytics and Governance for Managers, distinguished accountants and authors Nathan E. Myers and Gregory Kogan provide readers with a concise and insightful treatment of the importance of dedicated process governance standards for the use of self-service data analytics tools. The book invites Chief Financial Officers, managers, and auditors to proactively structure and implement an analytics governance framework to protect process stability, as data analytics outputs are increasingly relied upon throughout the organization.

With a focus throughout the book on the necessity for managers to structure the potential chaos that results from putting powerful and flexible application development capabilities directly into the hands of end users, Self-Service Data Analytics and Governance for Managers shows readers where and how to introduce and deploy prominant data analytics tools throughout their organization. Importantly, a fit-for-purpose foundational data analytics governance model is extended from the principles of mature control frameworks to promote process stability, risk management, and capture of ROI.

Ideal for analytics managers and process owners, Self-Service Data Analytics and Governance for Managers will also earn a place in the libraries of executives and auditors who demand the ability to rely on data analyses performed with self-service data analytics tools within their organizations or to assess the control structures that protect the value created by digital portfolios.
Product details
Edition:
1
Number of Pages:
352
Release Date:
2021-07-01
Publication Date:
2021-06-02
Publisher:
Wiley
Languages:
Original: English
ISBN10:
1119773296
ISBN13:
9781119773290
GPSR Manufacturer Reference:
Weight:
558 g
Height:
158 cm
Width:
232 cm
Thickness:
34 cm

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