|Total results: 456||
|International Journal of Business Analytics (IJBAN)
The International Journal of Business Analytics (IJBAN) is an indispensable resource for practitioners and academics that work in Business Analytics and related fields. Business Analytics is commonly viewed from three major perspectives: descriptive, predictive, and prescriptive. Business Analytics...
Information Quality and Governance for Business Intelligence
William Yeoh, John R. Talburt, Yinle Zhou.
Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges.
Information Quality and Governance for Business...
Encyclopedia of Business Analytics and Optimization
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value.
The Encyclopedia of Business Analytics and Optimization confronts the challenges of...
A Conceptual Model of Metadata’s Role in BI Success
Neil Foshay, Andrew Taylor, Avinandan Mukherjee.
Modern organizations rely on Business Intelligence (BI) systems to provide the information needed to support a wide array of decisions, many of which have significant financial and strategic consequences. As such, information quality is critically important but is also highly contextual, meaning that...
Subjective Information Quality in Data Integration: Evaluation and Principles
Ahmed AbuHalimeh, M. Eduard Tudoreanu.
This chapter focuses on the science of human perception of information quality and describes a subset of Information Quality (IQ) dimensions, which are termed Subjective Information Quality (SIQ). These dimensions typically require a user’s opinion and do not have a clear mathematical technique for...
A Case Study on Data Quality, Privacy, and Entity Resolution
William Decker, Fan Liu, John Talburt, Pei Wang, Ningning Wu.
This chapter presents ongoing research conducted through collaboration between the University of Arkansas at Little Rock and the Arkansas Department of Education to develop an entity resolution and identity management system. The process includes a multi-phase approach consisting of data-quality...
Information Quality Assessment for Asset Management Systems
Sang Hyun Lee, Abrar Haider.
Information quality is critical for any business. It is particularly important for mission critical information systems that manage the lifecycle of an engineering asset. Quality of information or lack thereof in these systems can be traced to technical, organisation, as well as human sources. It is...
Social Media Tools for Quality Business Information
Information, as a tool to reduce uncertainty and to develop knowledge in organizations, is an important aid in the decision-making process and must be of quality to improve its value. We are living in an information society where organizational and personal life are mediated by information and...
Improving Spatial Data Quality through Spatial ETL Processes
Elzbieta Malinowski, Sehyris Campos.
The growing availability of spatial data related to different aspects makes managers at different levels of administration aware of the possibilities to enhance decision making processes through map visualization. Currently, the so-called location intelligence is identified as an important trend for...
Principled Reference Data Management for Business Intelligence
Ivan Milman, Martin Oberhofer, Sushain Pandit, Yinle Zhou.
Most large enterprises requiring operational business processes (e.g., call center, human resources, order fulfillments, billing, etc.) utilize anywhere from a few hundred to several thousand instances of legacy, upgraded, cloud-based, and/or acquired information management applications. Due to this...
Effective Measurement of DQ/IQ for BI
Arun Thotapalli Sundararaman.
DQ/IQ measurement in general and in the specific context of BI has always been a topic of high interest for researchers. The topic of Data Quality (DQ) in the field of Information Management has been well researched, published, and studied. Despite such research advances, there has been very little...
Agile Information Management Governance: Can You Scale it to the Enterprise?
Research has shown that IT project failure rates increase in line with project size, and by the time you reach projects over $10M, the failure rate hits 100% (The Standish Group International, Inc., 1999). Hughes and Stodder (2012) go on to show that at an average cost of $12.8M, large data warehousing...
Challenges of Structure and Organization in Medium-Sized Content
Madhavi M. Chakrabarty.
Organizational knowledge management resources are a combination of articles, guidelines, and process documents. The content in these resources typically ranges from about a few words to a few hundred words. These pieces of content are called medium-sized content. While most organizations do not pose a...
A Case Study to Improve Data Vendor Selection
All financial services companies use external sources of consumer income data to assess credit risk, develop risk mitigation strategies, and create pre-approved marketing offers. International credit card issuers spend more than a billion dollars in marketing and invest hundreds of millions in product...
Strategies for Large-Scale Entity Resolution Based on Inverted Index Data Partitioning
Yinle Zhou, John R. Talburt.
Inverted indexing is a commonly used technique for improving the performance of entity resolution algorithms by reducing the number of pair-wise comparisons necessary to arrive at acceptable results. This chapter describes how inverted indexing can also be used as a data partitioning strategy to...
Business Intelligence Architecture in Support of Data Quality
Business Intelligence (BI) projects that involve substantial data integration have often proven failure-prone and difficult to plan. Data quality issues trigger rework, which makes it difficult to accurately schedule deliverables. Two things can bring improvement. Firstly, one should deliver...
The Value of Data Quality
Almost everyone acknowledges the importance to business of data quality, however most organisations treat it as a technology issue. Increasingly, organisations are moving from cost recovery models to ones where they reward behaviours that develop their data as an asset. At their core, these models...
Data Protection and BI: A Quality Perspective
Daragh O Brien.
Data Protection (DP) and Privacy are increasingly important quality characteristics of Information, particularly in the context of Business Intelligence and Big Data. This relationship between Data Protection and Information Quality (IQ) is often poorly understood, and DP itself is often misunderstood...
Principles and Applications of Business Intelligence Research
Richard T. Herschel.
Utilizing technologies, processes, and applications to analyze internal and structured data, business intelligence is a key aspect in the ability of an organization to gather knowledge and develop new opportunities for growth.Principles and Applications of Business Intelligence Research provides the...