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Self-service data analytics and governance for managers[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	657.0285
書名/作者:	Self-service data analytics and governance for managers/ Nathan E. Myers, Gregory Kogan.
作者:	Myers, Nathan E.
其他作者:	Kogan, Gregory.
出版者:	Hoboken, NJ : : John Wiley & Sons,, c2021.
面頁冊數:	1 online resource (xvi, 336 p.) : : col. ill.
標題:	Accounting - Data processing.
ISBN:	9781119773320
ISBN:	1119773326
ISBN:	9781119773306
ISBN:	111977330X
ISBN:	9781119773313
ISBN:	1119773318
書目註:	Includes bibliographical references and index.
摘要、提要註:	"Decentralization of data analytics tools has created a new digital environment in the finance and accounting world. With users performing their own analysis on data sets, there are important governance techniques to maintain process control in the new environment. While much has been written about data analytics capabilities, the treatments tend to either introduce and train users on used in data analytics. Prominent data analytics tools and capabilities for finance and accounting will be introduced. The authors will provide much-needed context to show where key tools can be deployed. Most important, managers must be equipped to structure the inevitable chaos that can result from putting tools into the hands of end-users. This book is meant to fill this gap and provide the reader with deployment and governance frameworks to promote data analytics capabilities on a large scale. In addition, the authors will clarify the capabilities of analytics tools in the accounting and finance world (based on real world scenarios). This book will focus on how finance, accounting, and operations teams need to adapt to the new digital environment. Readers will be presented with chapters building tool familiarity, matching tools with common use cases, and managing tool deployment in a way that ensures control and stability and ultimately high-quality digital outputs. Significant focus will be dedicated to establishing process governance standards as self-service digital tooling makes its way throughout an organization and teams"--
電子資源:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119773320

Self-service data analytics and governance for managers[electronic resource] /
Myers, Nathan E.

Self-service data analytics and governance for managers[electronic resource] /Nathan E. Myers, Gregory Kogan. - 1st ed. - Hoboken, NJ :John Wiley & Sons,c2021. - 1 online resource (xvi, 336 p.) :col. ill.

Includes bibliographical references and index.

"Decentralization of data analytics tools has created a new digital environment in the finance and accounting world. With users performing their own analysis on data sets, there are important governance techniques to maintain process control in the new environment. While much has been written about data analytics capabilities, the treatments tend to either introduce and train users on used in data analytics. Prominent data analytics tools and capabilities for finance and accounting will be introduced. The authors will provide much-needed context to show where key tools can be deployed. Most important, managers must be equipped to structure the inevitable chaos that can result from putting tools into the hands of end-users. This book is meant to fill this gap and provide the reader with deployment and governance frameworks to promote data analytics capabilities on a large scale. In addition, the authors will clarify the capabilities of analytics tools in the accounting and finance world (based on real world scenarios). This book will focus on how finance, accounting, and operations teams need to adapt to the new digital environment. Readers will be presented with chapters building tool familiarity, matching tools with common use cases, and managing tool deployment in a way that ensures control and stability and ultimately high-quality digital outputs. Significant focus will be dedicated to establishing process governance standards as self-service digital tooling makes its way throughout an organization and teams"--

ISBN: 9781119773320Subjects--Topical Terms:

418124
Accounting
--Data processing.

LC Class. No.: HF5679 / .M89 2021

Dewey Class. No.: 657.0285

Self-service data analytics and governance for managers[electronic resource] /
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245 1 0 $a Self-service data analytics and governance for managers $h [electronic resource] / $c Nathan E. Myers, Gregory Kogan.
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c c2021.
300 $a 1 online resource (xvi, 336 p.) : $b col. ill.
504 $a Includes bibliographical references and index.
520 $a "Decentralization of data analytics tools has created a new digital environment in the finance and accounting world. With users performing their own analysis on data sets, there are important governance techniques to maintain process control in the new environment. While much has been written about data analytics capabilities, the treatments tend to either introduce and train users on used in data analytics. Prominent data analytics tools and capabilities for finance and accounting will be introduced. The authors will provide much-needed context to show where key tools can be deployed. Most important, managers must be equipped to structure the inevitable chaos that can result from putting tools into the hands of end-users. This book is meant to fill this gap and provide the reader with deployment and governance frameworks to promote data analytics capabilities on a large scale. In addition, the authors will clarify the capabilities of analytics tools in the accounting and finance world (based on real world scenarios). This book will focus on how finance, accounting, and operations teams need to adapt to the new digital environment. Readers will be presented with chapters building tool familiarity, matching tools with common use cases, and managing tool deployment in a way that ensures control and stability and ultimately high-quality digital outputs. Significant focus will be dedicated to establishing process governance standards as self-service digital tooling makes its way throughout an organization and teams"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Accounting $x Data processing. $3 418124
700 1 $a Kogan, Gregory. $3 748011
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119773320