MANET, Evolutionary Algorithm, Email System, encryption scheme, journal entries, international journal of current research
Secret Sharing Schemes over MANET to Avoid Cheater Participation [102-109]
Author: Nisha Bharti, Hansa Acharya

Web URL Classification and Malicious Activities: A Review [110-115]
Malicious Web URL Classification using Evolutionary Algorithm [116-199]
Attack over Email System: Review [200-206]
Author: Anuradha Kumari, Nitin Agrawal, Umesh Lilhore

Encryption Scheme for Mobile Ad Hoc Networks: A Survey [207-209]
Author: Neha Dwivedi, Dr. Rajesh Shukla

Evolutionary Algorithm Based Optimized Encryption Scheme for Mobile Ad-Hoc Network [210-216]
Author: Neha Dwivedi, Dr. Rajesh Shukla

MANET, Evolutionary Algorithm, Email System, encryption scheme, journal entries, international journal of current research
MANET, Evolutionary Algorithm, Email System, encryption scheme, journal entries, international journal of current research
Power BI’s Role In The BI Lifecycle: A Complete Guide To Implementation, Development, And Maintenance
Authors: Joseph Fernandes
Abstract: Power BI has established itself as a versatile and comprehensive platform for the business intelligence (BI) lifecycle, supporting data integration, development, visualization, collaboration, and ongoing maintenance. This review article examines Power BI’s capabilities in consolidating heterogeneous data sources, performing robust ETL transformations, and delivering interactive dashboards that provide actionable insights for enterprise decision-making. The discussion explores key aspects of implementation, including agile development methodologies, data governance, role-based access controls, and performance optimization techniques. Case studies across healthcare, retail, and finance demonstrate the platform’s practical impact, highlighting efficiency gains, improved reporting accuracy, real-time analytics, and enhanced regulatory compliance. Additionally, the article addresses common challenges such as integration complexity, technical skill requirements, and governance concerns, providing recommendations for mitigation. Emerging trends such as AI-driven analytics, predictive modeling, real-time streaming data, and cloud-native architectures are analyzed, illustrating the evolving role of Power BI in enabling intelligent decision-support systems. The review emphasizes the strategic advantages of Power BI, including democratization of analytics, scalability, and adaptability to diverse organizational requirements. By synthesizing current practices, technological capabilities, and future innovations, this article provides a roadmap for leveraging Power BI effectively to drive operational efficiency, data-driven decision-making, and organizational agility in dynamic business environments.
DOI: https://doi.org/10.5281/zenodo.17275705
From Spreadsheets To Stories: Creating Actionable Insights With Tableau And The Business Intelligence Lifecycle
Authors: Rani Kumari
Abstract: The transition from traditional reporting methods to interactive, data-driven dashboards has transformed how organizations interpret and act upon information. This review examines the role of Tableau in the Business Intelligence (BI) lifecycle, focusing on its ability to convert raw data into actionable insights that support both strategic and operational decision-making. Tableau’s integration capabilities, including connections to diverse data sources and support for live or extracted datasets, enable organizations to streamline data preparation, cleansing, and transformation. Its visual analytics and interactive dashboards allow stakeholders to explore trends, perform what-if analyses, and monitor key performance indicators (KPIs) in real time. Advanced features, such as calculated fields, predictive modeling, and integration with AI/ML frameworks, enhance the depth and accuracy of insights, while collaborative and cloud-enabled solutions facilitate enterprise-wide adoption. Case studies from retail, healthcare, and finance illustrate Tableau’s practical impact in improving operational efficiency, forecasting, and decision support. The review also addresses challenges, including data quality management, user adoption barriers, and performance scaling, highlighting best practices to overcome these limitations. Looking forward, the integration of AI-driven analytics, real-time data streams, and embedded BI promises to expand Tableau’s influence in decision-making workflows. By adopting Tableau strategically, organizations can foster a culture of data literacy, enhance agility, and ensure that insights are actionable, timely, and aligned with business objectives. Overall, Tableau represents a bridge between complex datasets and operational intelligence, providing organizations with a robust, flexible, and scalable BI platform.
DOI: https://doi.org/10.5281/zenodo.17275764
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