Journal of Business Intelligence and Data Analytics

Financial Decision-Making for DICK’s Sporting Goods: A VIKOR-Based Analysis

2025-03-27T05:50:00+00:00

This study applies the VIKOR Using the multi-criteria decision-making (MCDM) approach to assess financial options for DICK’s Sporting Goods, a leading retailer in the sports industry. The alternatives analyzed include Demand Deposit, Time Deposit, Investment Account, Loan, Advance Account, and Payment, using four key evaluation parameters: Continuity, Benefit, Importance, and Cost Efficiency. By utilizing the VIKOR method, this study aims to determine the best financial option based on proximity to an ideal solution. The results reveal that Loan ranks as the most favorable alternative, while Demand Deposit holds the lowest rank. These findings provide useful insights for decision-makers at DICK’s Sporting Goods, assisting them in optimizing their financial strategies.Research Significance: Efficient financial management is crucial for retail businesses like DICK’s Sporting Goods, which rely on strategic fund allocation for operational stability and growth. This study offers a systematic approach to ranking financial alternatives, helping the company enhance profitability, liquidity, and overall financial efficiency. The application of VIKOR ensures a balanced evaluation by considering both objective and subjective decision-making factors.Methodology: VIKOR The VIKOR method was employed to assess financial alternatives based on multiple conflicting criteria. This approach prioritizes decision-making by ranking options in relation to an ideal solution. The methodology involves:Alternatives: Demand Deposit, Time Deposit, Investment Account, Loan, Advance Account, Payment.Evaluation Parameters: Continuity, Benefit, Importance, Cost EfficiencyResults: The analysis revealed that Loan emerged as the top-ranked financial alternative, demonstrating high benefit and cost efficiency. Payment and Time Deposit followed closely behind, while Demand Deposit ranked lowest, indicating limited suitability. The findings provide valuable insights into financial decision-making, allowing DICK’s Sporting Goods to enhance financial planning and sustainability.

Transforming Medicine: The Rise of Diagnostic Aid Applications Using the WSM Method

2025-02-04T06:10:52+00:00

Rough set theory has been widely applied in medical diagnosis to address uncertainty and enhance accuracy. However, most studies overlook identifying critical symptoms, such as those for pneumonia, and fail to propose a decision rule base centered on essential attributes. This research focuses on reducing unnecessary symptoms and identifying core pneumonia indicators using linguistic terms. It also introduces a decision rule base to improve diagnostic precision and support effective decision-making, presenting a promising approach for advancing medical diagnostics.

This research contributes to advancing pneumonia diagnostics by addressing gaps in prior studies that neglect core symptom identification and rely heavily on deterministic methods. By leveraging linguistic terms and rough set theory, the study aims to identify essential symptoms and reduce redundancies. The resulting decision rule base supports accurate, efficient diagnostic processes.

Full Stack Tech Lead, Software Engineering Manager, Principal Engineer – AI Solutions, Senior Solution Architect,Cloud Infrastructure Specialist. Evaluation parameters: Clarity, Market Relevance, Vagueness, Misleading Scope.

The results Full Stack Tech Leadattained the greatest rank, yet Senior Solution Architect it reaches the lowest rank.

“Full Stack Tech Lead has the highest value for Diagnostic Assistance Applications according to the WSM approach”.

Keywords: Medical Diagnosis, Expert Systems, WSM (Weighted Sum Method), Healthcare Technology, Diagnostic Accuracy.

Frameworks and Tools for Enhancing Cloud Network Security: A Review

2025-01-15T09:01:20+00:00

Cloud Networking Security" isn't a specific entity or person but rather a concept that refers to the overarching principles and practices involved in securing cloud networking environments. It encompasses the strategies and tools used to protect cloud-based infrastructure, data, and applications from cyber threats. The advent of cloud computing has transformed industries by promoting rapid innovation, improving collaboration, and deploying complex applications. However, despite its many advantages, cloud computing presents challenges related to security, privacy and data sovereignty. Addressing these issues is critical to fully realizing the benefits of cloud technology.

Keywords: Security frameworks, Cloud tools, Network security and Enhancements

Optimizing Business Intelligence Solutions: A TOPSIS-based Assessment of Micro Strategy Implementation Alternatives

2025-03-07T07:08:19+00:00

Abstract: Micro Strategy stands at the forefront of business intelligence and analytics, offering cutting-edge solutions in reporting, data visualization, and mobile analytics. With options for both cloud-based and on-premises setups, it enables organizations to accelerate decision-making, boost user satisfaction, and maximize cost-effectiveness. Meanwhile, it ensures robust security and supports scalable growth with innovative, comprehensive solutions available globally. This study explores the best strategies for implementing Micro Strategy’s business intelligence tools by critically assessing five distinct

Alternatives: Cloud Implementation, On-Premises Deployment, AI/ML Integration, Block chain Security, and Bit coin Expansion. As businesses increasingly rely on data-driven insights, choosing the most effective implementation strategy has become essential for sustaining competitive edge and operational efficiency. The research is pivotal in tackling the intricate decision-making challenges organizations encounter when adopting business intelligence solutions. By assessing several factors, such as Decision Processing Speed (DPS), User Satisfaction (US), Return on Growth (RG), Implementation Cost (IC), System Downtime (SD), and Learning Curve (LC), this study establishes a clear framework for making informed technology adoption choices within enterprise settings. Utilizing the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method, the study evaluates and ranks the various alternatives.

This approach to multi-criteria decision-making allows for a fair and objective comparison by determining how closely each option aligns with the ideal solution. The research employs normalized matrices and weighted criteria to guarantee a thorough evaluation of each potential implementation. The results indicate that Block chain-Based Data Security stands out as the top performer, boasting a closeness coefficient of 0.999941. This is followed by On-Premises Deployment (0.764172) and Bit coin Expansion (0.690708). Cloud Implementation secures the fourth spot with a coefficient of 0.529751, while AI/ML Integration ranks lowest with a coefficient of 0.Key observations suggest that block chain-based solutions excel in both security and reliability, presenting themselves as the superior choice. In contrast, traditional on-premises deployments continue to be highly relevant for organizations with specific infrastructure needs. The performance of AI/ML integration, however, falls short of expectations, pointing to potential hurdles in its implementation that organizations must carefully evaluate. Interestingly, Bit coin expansion presents a well-rounded profile across the various evaluation criteria, positioning it as a viable strategic investment while maintaining operational efficiency. These insights offer significant direction for organizations looking to fine-tune their business intelligence strategies, weighing the balance between performance, cost, and security concerns

Reducing Risks: How AI-Powered Systems Revolutionize Elderly Fall Detection

2025-01-16T07:16:01+00:00

As the global population continues to age, it is more important to ensure the safety and well-being of senior citizens. Falls are a frequent and dangerous concern for elders, frequently resulting in fatalities or very serious injuries. Modern technology, such as the Elderly Fall Detection System, have been created to solve this issue. This technology attempts to detect falls quickly and react to them, offering aid right away and maybe saving lives.

Early Intervention and Medical Aid: When a fall is detected, fall detection systems immediately notify carers or emergency services, enabling early intervention.Improving Safety: Elderly falls can result in serious injuries, limited mobility, and a reduction in general health.Early Intervention and Medical Aid: Fall detection systems promote early intervention by quickly notifying carers or emergency services when a fall is discovered. Independence and Quality of Life: Being independent and able to live in one's own house are two things that many elderly people enjoy. Support for carers and peace of mind: detection systems not only aid the elderly but also provide their carers peace of mind. Cost-cutting: Falls among the elderly frequently lead to hospital stays, rehab, and higher healthcare expenses.

The Weighted Product Model (WPM) is a technique for ranking and evaluating alternatives based on a variety of factors. It is an easy and obvious method that enables decision-makers to weigh the relative weight of many variables and make wise decisions..

Smart surveillance system, Smart cane, Smart Carpet, Smart phone/watch and app

Unobtrusiveness, reliability, privacy, Cost

Smart phone is the highest and smart carpet is the lowest

As the global population continues to age, it is more important to ensure the safety and well-being of senior citizens. Falls are a frequent and dangerous concern for elders, frequently resulting in fatalities or very serious injuries The Weighted Product Model (WPM) is a technique for ranking and evaluating alternatives based on a variety of factors Unobtrusiveness, reliability, privacy, Cost, : smart phone is the highest and smart carpet is the lowest