|Statement||edited by Xilong Qu, Yuhang Yang|
|Series||Communications in Computer and Information Science -- 268|
|Contributions||Yang, Yuhang, SpringerLink (Online service)|
|The Physical Object|
|Format||[electronic resource] :|
Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are Cited by: A valuable tool of KM is business intelligence (BI), that is, the set of coordinated actions of research, treatment, and distribution of information that can help support the company’s Author: Solomon Negash. The drive to make it possible for just about anyone to get useful information out of business intelligence tools has given rise to self-service business intelligence, a category of BI tools aimed. Business intelligence (BI) is the use of computing technologies for the identification, discovery and analysis of business data - like sales revenue, products, costs and incomes. BI technologies provide current, historical and predictive views of internally structured data for products and departments by establishing more effective.
Business Intelligence Business Intelligence is techniques for transforming data into information. This information helps to make quick decisions. From the Wikipedia: Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. 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, data warehousing, and data mining. Business intelligence (BI) is the collection of strategies and tools used to analyze business information. Business intelligence projects are significantly more effective when they combine external data sources with internal data sources for actionable insight. TIES Introduction to DM Lecture 2: Introduction to Business Intelligence 9 What Is Business Intelligence? • Business Intelligence (BI) is – the new technology for understanding the past & predicting the future – a broad category of technologies that allows for • gathering, storing, accessing & analyzing data to help business users.
Dec 01, · Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university. Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current, and predictive views of business eduevazquez.com functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing. What is Business Intelligence (BI)? This is the main question that comes to mind when discussing this complex subject. According to Hannula et al, it is the Systematic business information acquisition and analysis. In addition, it is also called Competitive Intelligence, Corporate Intelligence, Market Intelligence, Market Research, Data. Business intelligence (BI) is a data-driven DSS that combines data gathering, data storage, and knowledge management with analysis to provide input to the decision process.