Self-Service Data Analytics and Governance for Managers

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The decentralization of data analytics tools has transformed the finance and accounting landscape, enabling users to analyze data sets independently. This shift necessitates effective governance techniques to maintain process control. While existing literature often focuses on training users in data analytics, this work introduces prominent tools and capabilities tailored for finance and accounting, providing essential context for their deployment. Managers must be prepared to manage the chaos that can arise from empowering end-users with these tools. This book aims to bridge the gap by offering frameworks for deployment and governance that enhance data analytics capabilities on a large scale. It clarifies the functionalities of analytics tools within the finance and accounting sectors through real-world scenarios. The content emphasizes how finance, accounting, and operations teams must adapt to this new digital landscape. Readers will find chapters that build familiarity with tools, align them with common use cases, and outline strategies for managing tool deployment to ensure control, stability, and high-quality digital outputs. A significant emphasis is placed on establishing governance standards as self-service digital tools proliferate throughout organizations and teams.