scholarly journals Tools for Data Visualization in Business Intelligence: Case Study Using the Tool Qlikview

2016 ◽  
pp. 319-326 ◽  
Author(s):  
Ayushi Shukla ◽  
Saru Dhir
Keyword(s):  
Data Visualization ◽  
Business Intelligence

scholarly journals Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

2021 ◽  
Vol 16 (4) ◽  
pp. 1042-1065
Author(s):  
Anne Gottfried ◽  
Caroline Hartmann ◽  
Donald Yates
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Open Government ◽  
Open Government Data ◽  
Market Opportunities ◽  
Government Data ◽  
Source Of Information

The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to generate business intelligence, we extend research in this area by exploring how OGD can be used to generate business intelligence for the identification of market opportunities and strategy formulation; an area of research that is still in its infancy. Using a two-industry case study approach (footwear and lumber), we use latent Dirichlet allocation (LDA) topic modeling to extract emerging topics in these two industries from OGD, and a data visualization tool (pyLDAVis) to visualize the topics in order to interpret and transform the data into business intelligence. Additionally, we perform an environmental scanning of the environment for the two industries to validate the usability of the information obtained. The results provide evidence that OGD can be a valuable source of information for generating business intelligence and demonstrate how topic modeling and visualization tools can assist organizations in extracting and analyzing information for the identification of market opportunities.

Strategy, Action Plan, and Approaches for Business Intelligence in Banking and Mining

2019 ◽  
pp. 305-325
Author(s):  
Hafeez Niazi
Keyword(s):  
Data Quality ◽  
Data Visualization ◽  
Business Intelligence ◽  
Success Factors ◽  
Action Plan ◽  
Study Analysis ◽  
Key Factors ◽  
Case Study Analysis ◽  
Critical Success

This case study will analyze the critical success factors and key matters related to the deployment of BI deployment in different organizations. Different organizations have different approaches to making BI available for different business users, divisions, and departments. Data visualization is also one of the important factors which will provide user better reflection of data rather than make them confuse about organization data with too much information in the reports and dashboards. Data quality and diverse standards, which make BI famous in the different organizations, are also analyzed during the investigation of both organizations used in this case study. The case study analysis also shows how BI maturity, governance, and framework are key factors involved in the successful deployment of the BI in different organizations.

Applying Business Intelligence and Analytics to Clinical Costing Data

2019 ◽  
pp. 54-86
Author(s):  
Martin Hugo Rennhackkamp ◽  
Graeme K Hart
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Clinical Performance ◽  
Financial Data ◽  
Data Governance ◽  
Healthcare Organizations ◽  
Reporting Requirements ◽  
Advanced Analytics

Most healthcare organizations would like to provide actionable information to the managers of their various service lines. Bringing administrative, clinical, and financial data together is critical to operating the service lines efficiently. It also presents a strategic advantage, as the applications of funding are more closely monitored, and regulatory reporting requirements increase. With a clearer picture of their financial and clinical performance together, organizations are better prepared to put efficient strategies in place to meet their goals and demonstrate value. However, that requires thorough planning and forward-thinking leadership. This chapter discusses approaches to how organizations can empower their stakeholders by providing them with integrated clinical and costing data. It addresses how business intelligence supports the management and reporting of clinical costing data, the utilization of data visualization and advanced analytics, the importance of data governance, and the role of a BI strategy, illustrated throughout with a case study.

scholarly journals Data Visualization in Splunk and Tableau: A Case Study Demonstration

2021 ◽  
Vol 1767 (1) ◽  
pp. 012008
Author(s):  
N Balaji ◽  
B H Karthik Pai ◽  
Bhaskar Bhat ◽  
Barmavatu Praveen
Keyword(s):  
Data Visualization

Narrative Scientific Data Visualization in an Immersive Environment

2021 ◽  
Author(s):  
Richen Liu ◽  
Hailong Wang ◽  
Chuyu Zhang ◽  
Xiaojian Chen ◽  
Lijun Wang ◽  
...  
Keyword(s):  
Data Visualization ◽  
Domain Knowledge ◽  
User Study ◽  
Scientific Visualization ◽  
Scientific Data ◽  
Immersive Environments ◽  
Related Information ◽  
New Strategy ◽  
Scientific Data Visualization

Abstract Motivation Narrative visualization for scientific data explorations can help users better understand the domain knowledge, because narrative visualizations often present a sequence of facts and observations linked together by a unifying theme or argument. Narrative visualization in immersive environments can provide users with an intuitive experience to interactively explore the scientific data, because immersive environments provide a brand new strategy for interactive scientific data visualization and exploration. However, it is challenging to develop narrative scientific visualization in immersive environments. In this paper, we propose an immersive narrative visualization tool to create and customize scientific data explorations for ordinary users with little knowledge about programming on scientific visualization, They are allowed to define POIs (point of interests) conveniently by the handler of an immersive device. Results Automatic exploration animations with narrative annotations can be generated by the gradual transitions between consecutive POI pairs. Besides, interactive slicing can be also controlled by device handler. Evaluations including user study and case study are designed and conducted to show the usability and effectiveness of the proposed tool. Availability Related information can be accessed at: https://dabigtou.github.io/richenliu/

scholarly journals A first step towards service-dominant logic as a new approach to overcome challenges in business intelligence

2014 ◽  
Vol 17 (2) ◽  
pp. 220-231
Author(s):  
Pamela Clavier ◽  
Hugo Lotriet ◽  
Johan Van Loggerenberg
Keyword(s):  
Literature Review ◽  
South African ◽  
Business Intelligence ◽  
New Approach ◽  
High Expectations ◽  
Dominant Logic ◽  
Interpretive Case Study ◽  
Research Findings ◽  
Banking Institution

High expectations are set for Business Intelligence (BI), yet it fails to consistently deliver accordingly: there are numerous reports of BI challenges and failures. Existing approaches to address BI challenges are largely found to be ineffective, highlighting the need for a new approach. This paper examines how BI is perceived or understood and establishes that, firstly, BI is inherently grounded in Goods-Dominant (G-D) logic and secondly, that this can be linked to the challenges that are experienced within BI. A recommendation is made for a shift to Service-Dominant (S-D) logic as a new avenue of exploration to assist in overcoming BI’s prevailing challenges. Identifying the inherent G-D logic in BI provides the first step necessary in making this shift. Research findings are based on an interpretive case study of a South African Banking institution as well as a literature review.

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