Business problems are directly related to missed data quality expectations. This book shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program.
This volume presents a methodology for defining, measuring and improving data quality. It lays out an economic framework for understanding the value of data quality, then outlines data quality rules and domain- and mapping-based approaches to consolidating enterprise knowledge.
The book addresses the challenges faced by IT organizations in managing the rapidly increasing volume of business data, which now doubles every 12-18 months. It highlights the inefficiencies in current information architectures that delay data requests. Aimed at IT architects and consultants, it offers insights into enhancing data warehouse and business intelligence initiatives, emphasizing the importance of robust data quality management that extends beyond vendor tools. This resource serves as a guide for organizations seeking to improve their information management strategies.
A short guide for managers to introduce big data technology to their organizations and change the culture and expectations around information management.
Using Information to Develop a Culture of Customer Centricity sets the stage for understanding the holistic marriage of information, socialization, and process change necessary for transitioning an organization to customer centricity. The book begins with an overview list of 8-10 precepts associated with a business-focused view of the knowledge necessary for developing customer-oriented business processes that lead to excellent customer experiences resulting in increased revenues. Each chapter delves into each precept in more detail.