scholarly journals IoT data visualization for business intelligence in corporate finance

2022 ◽  
Vol 59 (1) ◽  
pp. 102736
Author(s):  
Cuili Shao ◽  
Yonggang Yang ◽  
Sapna Juneja ◽  
Tamizharasi GSeetharam
Keyword(s):  
Corporate Finance ◽  
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.

scholarly journals Business Intelligence Applications; sustaining Retail Businesses in Rivers State, Nigeria

2021 ◽  
Vol 04 (03) ◽  
Author(s):  
Patrick N Nwinyokpugi ◽  
Keyword(s):  
Data Mining ◽  
Performance Management ◽  
Data Warehouse ◽  
Data Visualization ◽  
Business Intelligence ◽  
Business Sustainability ◽  
Retail Business ◽  
Retail Outlets ◽  
Rivers State ◽  
Intelligence Application

The contemporary retail outlets are no more run by manual practices given the electronic nature of company to customers (C-C); customers to customers (C-C) transactions globally. The application of business intelligence has given an edge to retail outlets operation. This study therefore, strives to examine the relationship between business intelligence application and retail business sustainability in Rivers State, Nigeria. The study used descriptive research technique through the adoption of cross- sectional survey design. Nine judgmentally sampled retail outlets especially large scale malls & superstores were studied in Port Harcourt base on their inherent electronic driven operations. Using structured closed ended questionnaire, 45 census senior managers of these sampled retail outlets were studied. Data gathered were analysed using the Pearson Product Moment Correlation Coefficient (PPMCC) statistics and presented with the aid of SPSS version 20.0 for easy interpretation. The results of analysed data showed that, the dimensions of business intelligence application which included but not limited to customers’ performance management, data warehouse, data mining and advanced data visualization significantly correlated positively with the measures of retail business sustainability being profitability and customers’ patronage. The finding also showed a high moderating effect of organizational culture on business intelligence application and retail business sustainability in Rivers State, Nigeria. Relying on the empirical findings, the study concluded that business intelligence application has positive significant relationship with retail business sustainability. It is therefore recommended that, the dimensions of business intelligence: customers’ performance management, data warehouse, data mining & advance data visualization identified in this study should be utilized as it enhances retail business operational sustainability.

scholarly journals Business Intelligence, Analytics And Data Visualization: A Heat Map Project Tutorial

2014 ◽  
Vol 18 (3) ◽  
pp. 185 ◽  
Author(s):  
Pamela A. Dupin-Bryant ◽  
David H. Olsen
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Knowledge Workers ◽  
Sql Server ◽  
Instructional Model ◽  
Data Sets ◽  
High Demand ◽  
Heat Map ◽  
Analytical Skills ◽  
5E Instructional Model

Business intelligence and analytics (BI&A) initiatives are helping countless organizations harness and interpret the vast amount of information available in the world today. The explosion of BI&A in industry has fueled the high demand for knowledge workers with advanced analytical skills. The purpose of this paper is to introduce a data visualization project tutorial for Information Systems (IS) education. The applied BI&A tutorial was designed to help students learn how to create and analyze a heat map using SQL Server Data Tools (SSDT) and SQL Server Reporting Services (SSRS). Students learn how to make decisions based on large amounts of data by presenting it in visual form. This tutorial exposes students to the decision-making power derived from data visualization. Utilizing the 5E Instructional Model, the tutorial assists in the development of BI&A professionals who can quickly make sense of mass amounts of data, identify trends buried within data sets, and are skilled in making sound decisions that add value to 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.

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