The Current State of Business Intelligence

Watson, Hugh J.; Wixom, Barbara H.

doi:10.1109/mc.2007.331

Cited by 440 publications

(271 citation statements)

References 11 publications

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“…This requires more than just transfer from one format to another and usually needs data cleaning as well as alignment. Data quality is an important topic in areas as diverse as business informatics, Watson and Wixom (2007), and environmental sensing, Ganeriwal et al (2008); . In addition, topics such as how to dynamically compute and utilise the trust and provenance or the reliability associated with data streams which have all the issues mentioned above, come into play.…”

Section: Topics In Lifeloggingmentioning

confidence: 99%

LifeLogging: Personal Big Data

Gurrin

Smeaton

Doherty

2014

FNT in Information Retrieval

345

137

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Section: Topics In Lifeloggingmentioning

confidence: 99%

LifeLogging: Personal Big Data

Gurrin

Smeaton

Doherty

2014

FNT in Information Retrieval

345

137

View full text Add to dashboard Cite

“…ultimately, the processes of DSS development requires highly collaborative processes, leading to negotiated outcomes that embody the combined intentions of managers, technologists, support staff and any other stakeholders in the decision support arena. The resulting improved decision support capability will satisfy the business requirements of greater flexibility and agility which are perceived as necessary requirements in today's business environment (Watson and Wixom, 2007), both in terms of the emergence of the organisational truth side and on the decision support development side. This suggests the existence of an overall organisational capability for decision support, based on discourses between participants which lead to better systems within a suitable timeframe.…”

Section: Understanding the Relationship Between Decision Support Suppmentioning

confidence: 99%

Decision support: a matter of information supply and demand

Daly

2016

Journal of Decision Systems

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The organisational decision making environment is complex and decision makers must deal with uncertainty and ambiguity on a continuous basis. Managing and handling decision problems and implementing a solution requires an understanding of the complexity of the decision domain to the point where the problem and its complexity as well as the requirement for supporting decision makers, can be described. This papers presents a synthesis of the ideal of what information supply should be and the information demand that decision makers require. A model is presented which links management decision making information demand and information supply. The model facilitates a more refined perception of the decision making landscape of an organisation, and a corresponding definitive avenue for the development of decision support dedicated to the different levels that have been revealed by the application of a cognitive representation model.

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“…Oracle Application Express (APEX) has enabled us to successfully deliver online labs for the online data warehousing classes while the literature more often reports using Microsoft Access, Microsoft SQL Server, or Teradata [1], [3]- [8]. Oracle APEX is a web-based environment that provides capabilities for both SQL manipulation and web application development.…”

Section: Lab Structurementioning

confidence: 99%

Design and Implementation of Web-Enabled Labs for Data Warehousing

Kourik¹

2013

IJIET

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Abstract-In the distance learning environment students are often working from remote locations. All or most of their interaction will be through the online course management system. Since students cannot attend a physical lab classroom there is a need for accessible labs to serve remote students and improve their understanding of data warehouse (DW) and the textbook materials. For the DW course specifically, a platform that supports student exploration of several features such as SQL, DW, Online Analytical Processing (OLAP), as well as design of the DW is needed. A data warehousing course that meets many recommendations from industry and academia has been successfully offered for several years at our school. The DW course is offered solely in the online format using Oracle products and datasets for labs. The class incorporates a data warehouse design process that includes planning the star schema as well as defining the metadata, physical design, and application views. The paper describes the lab for the data warehousing course, its design and implementation, the exercises students will complete in both design and data analysis, and the data warehousing tool itself.Index Terms-Web-enabled lab, data warehousing, online learning, distance education. I. INTRODUCTIONIn the distance learning environment students are often working from remote locations. All or most of their interaction will be through the online course. Since students cannot attend a physical lab classroom, accessible labs for remote students are needed to improve their understanding of data warehouse (DW) and the textbook materials. In the distance learning environment, data warehousing courses face specific challenges. In particular students need free software. The software needs to work with a variety of operating systems to provide platform independence. Further, the installation or use of DW should require no or minimal installation. Another barrier is the difficulty students must face to configure the DW software correctly for their systems [1]. For the DW course, a platform that supports student exploration of several features such as SQL, DW, Online Analytical Processing (OLAP), as well as design of the DW is needed.Data warehousing is one of many approaches in the broader field of Business Intelligence (BI). Research reveals rapid growth in the demand for professionals with skills in BI and analytics. Findings also indicate that there is a significant gap between demand and individuals with needed BI skills. Hence, there is a move to encourage more academic offerings to build capacity in all BI areas including data warehousing. Research also reveals that BI is truly an interdisciplinary field. Practitioners highlight that the need for analytical skills extends beyond technicians. Analytic skills are needed throughout the organization. Therefore educators have been encouraged to increase offerings that help develop BI and analytical skills for students across disciplines [2]- [4].Prior literature often examined ways to include data warehousing...

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The Current State of Business Intelligence

Cited by 440 publications

References 11 publications

LifeLogging: Personal Big Data

LifeLogging: Personal Big Data

Decision support: a matter of information supply and demand

Design and Implementation of Web-Enabled Labs for Data Warehousing

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