Book ChapterDOI
Enterprise Reporting Solution on Integrating Business Intelligence for Operational and Financial Data
Anuraag Mazumdar,Rajeshkannan Regunathan +1 more
- Vol. 169, pp 799-807
TLDR
Current trends and techniques in BI segments (devices) and operational advances in an organization that utilizes BI framework are described, that results in the strengthening the connection between commercial business needs and IT technologies and how different BI methods are adopted.Abstract:
The information technology field has emerged, established and improved over time, resulting in the utilization of Internet by many organizations. On the other hand, the data gathered by commercial and operational businesses is unstructured, hard to understand and of limited use. Business intelligence (BI) tools play a major role in extracting useful, intuitive, and graphical representation of accurate data that is useful for predictive analysis, trends, and patterns in business, and business decision making. The paper talks about current trends and techniques in BI segments (devices) and describes operational advances in an organization that utilizes BI framework, that results in the strengthening the connection between commercial business needs and IT technologies and how different BI methods are adopted and studies about current market business intelligence tools examples that give significance of usage of business intelligence in the enterprise business.read more
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Journal ArticleDOI
Business intelligence and analytics: from big data to big impact
TL;DR: This introduction to the MIS Quarterly Special Issue on Business Intelligence Research first provides a framework that identifies the evolution, applications, and emerging research areas of BI&A, and introduces and characterized the six articles that comprise this special issue in terms of the proposed BI &A research framework.
Journal ArticleDOI
The Current State of Business Intelligence
Hugh J. Watson,Barbara H. Wixom +1 more
TL;DR: Business intelligence (BI) has become a strategic initiative and is now recognized by CIOs and business leaders as instrumental in driving business effectiveness and innovation.
Journal ArticleDOI
A comparison of data warehousing methodologies
Arun Sen,Atish P. Sinha +1 more
TL;DR: Using a common set of attributes to determine which methodology to use in a particular data warehousing project.
Book
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TL;DR: A complete and comprehensive handbook for the application of data mining techniques in marketing and customer relationship management that combines a technical and a business perspective, bridging the gap between data mining and its use in marketing.
Journal ArticleDOI
Data‐driven decision making for the enterprise: an overview of business intelligence applications
TL;DR: The evolution of decision support systems (DSS) and their close relationship with the business intelligence arena are discussed and open source and commercial BI products are identified.