scholarly journals Empowering SMEs to Make Better Decisions with Business Intelligence: A Case Study

2018 ◽  
pp. 306-325
Author(s):  
Raghavendra Raj ◽  
Shun Ha Sylvia Wong ◽  
Anthony J. Beaumont
Keyword(s):  
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.

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.

Step towards of a Homemade Business Intelligence Solution – A Case Study in Textile Industry

2015 ◽  
pp. 361-370 ◽  
Author(s):  
Sandrina Carvalho ◽  
Filipe Portela ◽  
Manuel Filipe Santos ◽  
António Abelha ◽  
José Machado
Keyword(s):  
Business Intelligence ◽  
Textile Industry

Implementation of Business Intelligence in Product Services a Banking (Case Study: PT Bank Sumsel Babel Baturaja Branch)

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Sekar Sari Wiradarma ◽  
Ken Dhita Tania ◽  
Dinna Yunika Hardiyanti
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Quality Information ◽  
Product Data ◽  
Product Service ◽  
History Of ◽  
Adaptive Nature ◽  
User Friendly ◽  
Intelligence Application

AbstractBusiness Intelligence (BI) is a collection of theories, methodologies, processes, architectures, and technologies that convert raw data into quality information for business purposes. BI can handle a large amount of information that can help in identifying problems and developing new opportunities. In designing and implementing Business Intelligence (BI) concept for monitoring banking product service using reference business intelligence roadmap approach. Business intelligence roadmap is one example of BI development that can be emulated because of its agile and adaptive nature and is intended to support the development of BI. By utilizing Business Intelligence application on transaction history of banking product data, it is hoped able to produce information that can support in giving recommendation and decision making appropriately. The data and information generated also become more accessible and easier to understand (user friendly).Keywords: business intelligence, business intelligence roadmap, OLAP, banking products

IT Architecture and Information Quality in Data Warehouse and Business Intelligence Environments

2014 ◽  
pp. 112-127
Author(s):  
Samuel Otero Schmidt ◽  
Edmir Parada Vasques Prado
Keyword(s):  
Data Warehouse ◽  
Business Intelligence ◽  
Information Quality ◽  
Relevant Literature ◽  
Research Model ◽  
Structured Interviews ◽  
It Architecture ◽  
Financial Company ◽  
The Relationship

Organizations are currently investing more in information technology to store and process a vast amount of information. Generally, this information does not comply with any standard, which hinders the decision-making process. The cause of the difficulties can be attributed to Information Quality (IQ), which has technical characteristics related to the architecture used in Data Warehouse (DW) and Business Intelligence (BI) environments. On the basis of the relevant literature in IQ, DW, and BI, a research model was created to identify the relations between components of DW/BI architecture and IQ dimensions. This research model was applied in a real case study (Big Financial Company in Brazil). This case study involved semi-structured interviews with managers and analysts. This chapter attempts to provide a better understanding of the relations between IT architecture and IQ in DW and BI environments. The authors hope to motivate the discussion around the development of IQ-oriented architectures for BI and the relationship between these concepts.

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