Data Quality and Work Alignment

2011 ◽  
pp. 291-320
Author(s):  
Latif Al-Hakim ◽  
Hongjiang Xu
Keyword(s):  
Information Systems ◽  
Adverse Effects ◽  
Data Quality ◽  
Case Studies ◽  
Theoretical Background ◽  
Decision Makers ◽  
It Professionals ◽  
Improve Data Quality ◽  
Other Information ◽  
Importance Analysis

Organisational decision-makers have experienced the adverse effects of decisions based on information of inferior quality. Millions of dollars have been spent on information systems to improve data quality (DQ)1 as well as the skills and capacity of IT professionals. It is an important issue that the IT professionals align their work within the expectation of the organization’s vision. This chapter provides some theoretical background to DQ and establishes a link between DQ, performance-importance analysis and work alignment. Four case studies are presented to support the theory developed in this chapter and to answer the question as to whether the IT professionals consider DQ issues differently from other information users.

Factors influencing organizations to improve data quality in their information systems

2007 ◽  
Vol 47 (2) ◽  
pp. 335-355 ◽  
Author(s):  
Sing What Tee ◽  
Paul L. Bowen ◽  
Peta Doyle ◽  
Fiona H. Rohde
Keyword(s):  
Information Systems ◽  
Data Quality ◽  
Improve Data Quality ◽  
Factors Influencing

Decision Support Systems Concept

2010 ◽  
pp. 1-5
Author(s):  
Daniel J. Power
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Support Systems ◽  
Broad Class ◽  
Decision Makers ◽  
Management Decision ◽  
Making Sense ◽  
Other Information ◽  
New Applications

Since the late 1960s, researchers have been developing and implementing computerized systems to support management decision makers. A number of decision support system (DSS) typologies were proposed in the early 1980s (Alter, 1980; Sprague & Carlson, 1982), but technology developments and new applications led to an expanded DSS framework (Power, 2000a, 2000b, 2001). The expanded DSS framework that is explained in detail in Power (2002b) helps decision makers and DSS developers understand and categorize decision support projects as well as existing decision support systems. Many terms are used to describe decision support systems. For example, some vendors and managers use the terms business intelligence, collaborative systems, computationally oriented DSS, data warehousing, model-based DSS, and online analytical processing (OLAP) software to label decision support systems. Software vendors use these more specialized terms for both descriptive and marketing purposes. The terms used to describe decision support capabilities are important in making sense about what technologies have been deployed or are needed. Some DSSs are subsystems of other information systems and this integration adds to the complexity of categorizing and identifying DSSs. In general, decision support systems are a broad class of information systems used to assist people in decision- making activities (Power, 2004).

Decision Support Systems Concept

2011 ◽  
pp. 232-235 ◽  
Author(s):  
Daniel J. Power
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Support Systems ◽  
Broad Class ◽  
Decision Makers ◽  
Management Decision ◽  
Making Sense ◽  
Other Information ◽  
New Applications

Since the late 1960s, researchers have been developing and implementing computerized systems to support management decision makers. A number of decision support system (DSS) typologies were proposed in the early 1980s (Alter, 1980; Sprague & Carlson, 1982), but technology developments and new applications led to an expanded DSS framework (Power, 2000a, 2000b, 2001). The expanded DSS framework that is explained in detail in Power (2002b) helps decision makers and DSS developers understand and categorize decision support projects as well as existing decision support systems. Many terms are used to describe decision support systems. For example, some vendors and managers use the terms business intelligence, collaborative systems, computationally oriented DSS, data warehousing, model-based DSS, and online analytical processing (OLAP) software to label decision support systems. Software vendors use these more specialized terms for both descriptive and marketing purposes. The terms used to describe decision support capabilities are important in making sense about what technologies have been deployed or are needed. Some DSSs are subsystems of other information systems and this integration adds to the complexity of categorizing and identifying DSSs. In general, decision support systems are a broad class of information systems used to assist people in decision- making activities (Power, 2004).

scholarly journals Enhancement of Data Quality in the Information Systems within Organization

2021 ◽  
Vol 9 (9) ◽  
pp. 1490-1497
Author(s):  
Nishita Shewale
Keyword(s):  
Information Systems ◽  
Adverse Effects ◽  
Data Quality ◽  
Data Cleaning ◽  
Quality Data ◽  
Quality Of Data ◽  
New Techniques ◽  
Data Profiling ◽  
The Subject

Abstract: To introduce unified information systems, this will provide different establishments with an insight on how data related activities take place and there results with assured quality. Considering data accumulation, replication, missing entities, incorrect formatting, anomalies etc. can come to light in the collection of data in different information systems, which can cause an array of adverse effects on data quality, the subject of data quality should be treated with better results. This paper inspects the data quality problems in information systems and introduces the new techniques that enable organizations to improve their quality of data. Keywords: Information Systems (IS), Data Quality, Data Cleaning, Data Profiling, Standardization, Database, Organization

scholarly journals Patents used by NPE as an Open Information System in Web 2.0 – Two mini case studies

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Abdelkader Baaziz ◽  
Luc Quoniam
Keyword(s):  
Information Systems ◽  
Technology Transfer ◽  
Case Studies ◽  
Value Added ◽  
Oil Industry ◽  
Emerging Countries ◽  
Patent Information ◽  
Other Information ◽  
Basic Functions ◽  
Creative Vision

The Information Systems around patents are complex, their study coupled with a creative vision of “out of the box”, overcomes the strict basic functions of the patent. We have, on several occasions, guiding research around the patent solely-based on information, since the writing of new patents; invalidation of existing patents, the creation of value-added information and their links to other Information Systems. The traditional R&D based on heavy investments is one type of technology transfer. But, patent information is also, another powerful tool of technology transfer, innovation and creativity. Indeed, conduct research on the patent, from an academic viewpoint, although not always focusing only on financial revenue, can be considered as a form of “Non Practicing Entities” (NPE) activity, called rightly or wrongly “Patent Trolls”.  We'll see why the term “patent troll” for this activity is controversial and inappropriate. The research we will describe in this paper falls within this context. We show two case studies of efficient use of patent information in Emerging countries, the first concern the pharmaceutical industry in Brazil and the second, the oil industry in Algeria.

Atmospheric deposition: Effects on sculptures

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Adverse Effects ◽  
Atmospheric Deposition ◽  
Case Studies ◽  
Review Paper ◽  
Harmful Effect ◽  
Public Concern

Public concern over the deleterious effects of atmospheric deposition (AD) has grown rapidly due to its adverse effects (teratogenicity, toxicity, and carcinogenicity) to human, animals, and materials. The aim of this review is to describe the effect of the AD on sculptures, measures for its reduction, and case studies on maintenances of sculptures against the AD. To this end, a step-by-step review is outlined to discuss the harmful effect of AD contamination on many important sculptures. The review paper is also extended to describe preventive steps to reduce AD on sculptures to help reduce the risks associated with AD.

Large qualitative models of complex chemical and bioengineering processes

1991 ◽  
Vol 56 (10) ◽  
pp. 2107-2141 ◽  
Author(s):  
Mirko Dohnal
Keyword(s):  
Case Studies ◽  
Chemical Process ◽  
Ad Hoc ◽  
Chemical Reactor ◽  
Theoretical Background ◽  
Qualitative Model ◽  
Complex Chemical ◽  
Practical Applications ◽  
Qualitative Models ◽  
Decomposition Principle

Qualitative model is a theoretical background of commonsense. Complex qualitative models can have prohibitively many solutions (qualitative states). Therefore a qualitative analogy of such classical quantitative tools as e.g. the decomposition is developed. Practical applications of decomposition principle is nearly always ad hoc. Therefore two case studies are presented in details, a chemical process (mixer, chemical reactor, separator) and an anaerobic fermentor.

scholarly journals Imaging Spectroscopy for Conservation Applications

2021 ◽  
Vol 13 (2) ◽  
pp. 292
Author(s):  
Megan Seeley ◽  
Gregory P. Asner
Keyword(s):  
Remote Sensing ◽  
Decision Making ◽  
Case Studies ◽  
Spatial Scales ◽  
Imaging Spectroscopy ◽  
Remote Sensing Data ◽  
Decision Makers ◽  
High Spectral Resolution ◽  
Conservation Areas ◽  
Broad Array

As humans continue to alter Earth systems, conservationists look to remote sensing to monitor, inventory, and understand ecosystems and ecosystem processes at large spatial scales. Multispectral remote sensing data are commonly integrated into conservation decision-making frameworks, yet imaging spectroscopy, or hyperspectral remote sensing, is underutilized in conservation. The high spectral resolution of imaging spectrometers captures the chemistry of Earth surfaces, whereas multispectral satellites indirectly represent such surfaces through band ratios. Here, we present case studies wherein imaging spectroscopy was used to inform and improve conservation decision-making and discuss potential future applications. These case studies include a broad array of conservation areas, including forest, dryland, and marine ecosystems, as well as urban applications and methane monitoring. Imaging spectroscopy technology is rapidly developing, especially with regard to satellite-based spectrometers. Improving on and expanding existing applications of imaging spectroscopy to conservation, developing imaging spectroscopy data products for use by other researchers and decision-makers, and pioneering novel uses of imaging spectroscopy will greatly expand the toolset for conservation decision-makers.

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