Project governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance for Managers , equipping managers to structure the inevitable chaos that can result as end-users take matters into their own hands Motivated by the promise of control and efficiency benefits, the widespread adoption of data analytics tools has created a new fast-moving environment of digital transformation in the finance, accounting, and operations world, where entire functions spend their days processing in spreadsheets. With the decentralization of application development as users perform their own analysis on data sets and automate spreadsheet processing without the involvement of IT, governance must be revisited to maintain process control in the new environment. In this book, emergent technologies that have given rise to data analytics and which form the evolving backdrop for digital transformation are introduced and explained, and prominent data analytics tools and capabilities will be demonstrated based on real world scenarios. The authors will provide a much-needed process discovery methodology describing how to survey the processing landscape to identify opportunities to deploy these capabilities. Perhaps most importantly, the authors will digest the mature existing data governance, IT governance, and model governance frameworks, but demonstrate that they do not comprehensively cover the full suite of data analytics builds, leaving a considerable governance gap. This book is meant to fill the gap and provide the reader with a fit-for-purpose and actionable governance framework to protect the value created by analytics deployment at scale. Project governance, investment governance, and risk governance precepts will be woven together to equip managers to structure the inevitable chaos that can result as end-users take matters into their own hands. "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."-- Provided by publisher
