Self-Service Data Analytics and Governance for Managers

Preface

The breadth and scale of data are growing exponentially, and the growth of data is impacting the shape of organizations. According to the “On Risk 2020” report by the IIA, “Organizations face significant disruption driven by the accelerating pace of technology and the growing ease of mass data collection.” Executives are placing increased reliance on the abundance of data in their decision-making process. A number of factors are driving the steep growth of data: data and metadata created and captured from the Internet of Things (IoT), increasingly interconnected supply chains, proprietary company information generated in unified ERPs, and the increasing number of third-party cloud data sources available for subscription and consumption. Organizations have available far more data than ever before.

The rise of data analytics is transforming business functions in an accelerated pace. This transformation is driven by managements' strategic goal of evolving their organizations to being data-driven, interconnected, and innovative in their approach to unlocking insights from the rapidly increasing volume of data. While data analytics is an extremely broad category of technologies and disciplines, self-service analytics has recently emerged as a significant driver of accelerated digital transformation. At the heart of digital transformation in accounting, finance, and operations functions is the move from manual spreadsheet-based data processing to structured, robust, and efficient ...