Combining Business Intelligence And Stock Market Data: A Primer For Data Analytics And Business Intelligence

Business Intelligence and Analytics: From Big Data to Big Impact

Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations. This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications,...

Business intelligence and analytics fundamentals

Business intelligence analytics.

Data-driven decision making—orienting business decisions around data—drives major IT initiatives across all business sectors. Although buzzwords such as “data-driven decisions” and its “big data” and “data science” cousins might be overused, underneath them lie real opportunities for organizations to understand and reflect on their processes and customers. Collecting the information is only the...

Data Mining for Business Intelligence in Distribution Chain Analytics

Manufacturers, wholesalers and retailers in the distribution chain can be seen as Community of Core Knowledge Practitioners (CoCKPs) working together towards making profit, satisfying and meeting the needs of consumers of finished goods or products. Retailers through business transactions deal directly with the end users and are seen to better understand consumer behavior particularly in line w...

Video Analytics for Business Intelligence

This chapter focuses on various algorithms and techniques in video analytics that can be applied to the business intelligence domain. The goal is to provide the reader with an overview of the state of the art approaches in the field of video analytics, and also describe the various applications where these technologies can be applied. We describe existing algorithms for extraction and processin...