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.[...]
The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect. "Master Data Management" equips you with a deeply practical, business-focused way of thinking about MDM-an un[...]
Following the footsteps of the first edition, the second edition of "Business Intelligence" is a full overview of what comprises business intelligence. It is intended to provide an introduction to the concepts to uncomplicate the learning process when implementing a business intelligence program. Ov[...]
Sets the stage for understanding the holistic marriage of information, socialization, and process change necessary for transitioning an organization to customer centricity. This book begins with an overview list of 8-10 precepts associated with a business-focused view of the knowledge necessary for [...]
A short guide for managers to introduce big data technology to their organizations and change the culture and expectations around information management.[...]
"Business Intelligence" describes the basic architectural components of a business intelligence environment, ranging from traditional topics such as business process modeling, data modeling, and more modern topics such as business rule systems, data profiling, information compliance and data quality[...]