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Journal articles on the topic 'Strategic dashboards'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Kalu, Adaora, May Equitozia Eyeregba, Nneka Adaobi Ochuba, Omoniyi Onifade, and Florence Sophia Ezeh. "Advances in Strategic Dashboarding for Financial Performance Tracking in Nonprofit and Banking Institutions." International Journal of Social Science Exceptional Research 3, no. 1 (2023): 256–61. https://doi.org/10.54660/ijsser.2023.2.1.256-261.

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This paper explores the evolving role of strategic dashboarding in enhancing financial performance tracking within nonprofit and banking sectors. It examines how dashboards, as powerful data visualization and analytics tools, enable organizations to streamline financial decision-making, improve transparency, and track key performance indicators (KPIs) in real-time. Focusing on both sectors, the paper highlights the importance of dashboards for consolidating financial data from multiple sources, offering clear, actionable insights that drive organizational strategy. The challenges organizations

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Buttigieg, Sandra C., Adriana Pace, and Cheryl Rathert. "Hospital performance dashboards: a literature review." Journal of Health Organization and Management 31, no. 3 (2017): 385–406. http://dx.doi.org/10.1108/jhom-04-2017-0088.

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Purpose The purpose of this paper is to give a comprehensive and updated analysis of the available literature on hospital dashboards. Design/methodology/approach A search of the current literature was performed by searching electronic databases, including Google Scholar, EBSCO and Medline, as well as books. Findings In all, 48 manuscripts consisting of peer reviewed articles, conference proceedings, case reports and text books were included in this review. Practical implications Despite the numerous advantages of performance dashboards, several authors have mentioned a number of challenges. It

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Kufile, Omolola Temitope, Bisayo Oluwatosin Otokiti, Abiodun Yusuf Onifade, Bisi Ogunwale, and Chinelo Harriet Okolo. "Building Campaign Effectiveness Dashboards Using Tableau for CMO-Level Decision Making." Journal of Frontiers in Multidisciplinary Research 3, no. 1 (2022): 414–24. https://doi.org/10.54660/.jfmr.2022.3.1.414-424.

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The proliferation of digital marketing has generated unprecedented volumes of data that Chief Marketing Officers (CMOs) must analyze to make strategic decisions. However, making sense of this data across various touchpoints remains a critical challenge. Tableau, a leading business intelligence tool, has emerged as a pivotal solution for visualizing campaign effectiveness in a format tailored to executive-level needs. This paper presents a comprehensive literature review on the role of dashboards, specifically built using Tableau, in improving marketing campaign evaluation. The research delves

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Rahman, Md Atikur, and Md Shah Alam. "HOW INTERACTIVE DASHBOARDS IMPROVE MANAGERIAL DECISION-MAKING IN OPERATIONS MANAGEMENT." American Journal of Advanced Technology and Engineering Solutions 1, no. 01 (2025): 122–46. https://doi.org/10.63125/cqm5jk84.

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In today’s data-driven business environment, interactive dashboards play a crucial role in enhancing managerial decision-making by providing real-time analytics, performance tracking, and predictive insights. However, the complexity, usability, and adoption challenges associated with dashboards often affect their effectiveness in organizational decision-making processes. This study investigates the impact of dashboard complexity, user skepticism, training interventions, and governance frameworks on managerial decision-making by conducting an in-depth case study analysis across six industries:

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Hind, Sam. "Dashboard design and the ‘datafied’ driving experience." Big Data & Society 8, no. 2 (2021): 205395172110498. http://dx.doi.org/10.1177/20539517211049862.

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In this article, I consider how the redesign of vehicle dashboards has restructured car-related data processes. I do so by charting the emergence of two such processes enabled by the redesign of vehicle dashboards: firstly, the transformation of ‘geodata’ into ‘navigational data’ with the integration of voice-activated navigation systems into vehicle dashboards, and secondly, the transformation of ‘vehicle data’ into ‘driving data’ in the convergence, and customization, of dashboard features and functionality. Both transformations are enabled through strategic design decisions, persuading driv

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Banerjee, Siddharth, Clare E. Fullerton, Sankalp S. Gaharwar, and Edward J. Jaselskis. "Strategic Web-Based Data Dashboards as Monitoring Tools for Promoting Organizational Innovation." Buildings 15, no. 13 (2025): 2204. https://doi.org/10.3390/buildings15132204.

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Knowledge extraction and sharing is one of the biggest challenges organizations face to ensure successful and long-lasting knowledge repositories. The North Carolina Department of Transportation (NCDOT) commissioned a web-based knowledge management program called Communicate Lessons, Exchange Advice, Record (CLEAR) for end-users to promote employee-generated innovation and to institutionalize organizational knowledge. Reusing knowledge from an improperly managed database is problematic and potentially causes substantial financial loss and reduced productivity for an organization. Poorly manage

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Parasa, Manoj. "Building Real-Time Workforce Analytics Dashboards in SAP SuccessFactors Using SAP BTP and Embedded Machine Learning Models." International Research Journal of Innovations in Engineering and Technology 06, no. 10 (2022): 148–52. https://doi.org/10.47001/irjiet/2022.610030.

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This study investigates the design and deployment of real-time workforce analytics dashboards within the SAP SuccessFactors ecosystem, leveraging the capabilities of the SAP Business Technology Platform (BTP) and embedded machine learning models. The primary objective is to transform static HR reporting into predictive, interactive decision support tools. Using a design science approach, the research integrates data pipelines from SAP SuccessFactors through SAP Data Intelligence, processes this information via SAP HANA, and visualizes insights using SAP Analytics Cloud. Custom machine learning

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Ifeanyichukwu Olinmah, Florence, Olayinka Abiola-Adams, Bisayo Oluwatosin Otokiti, Dennis Edache Abutu, Isaac Okoli, and Cyril Imohiosen. "Constructing Organizational Engagement Dashboards for Strategic Communication in Academic Institutions." International Journal of Advanced Multidisciplinary Research and Studies 3, no. 6 (2023): 1803–10. https://doi.org/10.62225/2583049x.2023.3.6.4394.

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This paper presents a comprehensive framework for constructing organizational engagement dashboards designed to enhance strategic communication within academic institutions. By integrating event analytics with communication effectiveness metrics, the proposed dashboard offers a multifaceted approach to monitoring and reporting stakeholder engagement. The study identifies key data sources such as event participation records and communication feedback, outlining rigorous methods for selecting and harmonizing metrics to produce actionable insights. Emphasizing user-centered design principles, the

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Valks, Bart, Monique Arkesteijn, Alexander Koutamanis, and Alexandra Den Heijer. "Towards Smart Campus Management: Defining Information Requirements for Decision Making through Dashboard Design." Buildings 11, no. 5 (2021): 201. http://dx.doi.org/10.3390/buildings11050201.

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At universities worldwide, the notion of a ‘smart campus’ is becoming increasingly appealing as a response to the multitude of challenges that impact campus development and operation. Smart campus tools are widely used to support students and employees, optimise space use and save energy. Although smart campus tools are supposed to support campus managers in their decision-making processes, the use of the information delivered by smart campus tools and their application in organisational processes has received little attention. In this paper, we focus on the use of dashboards in the connection

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Vasnier, J. M., N. Maranzana, M. Messaadia, and A. Aoussat. "PRELIMINARY DESIGN AND EVALUATION OF STRATEGIC DASHBOARDS THROUGH THE TECHNOLOGY ACCEPTANCE MODEL." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 777–86. http://dx.doi.org/10.1017/dsd.2020.18.

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AbstractIn the age of the fourth industrial revolution, the competition between enterprises is fierce to operate efficiently and hold on to their customers. Due to lack of time and methodology, many leaders struggle to establish optimized strategies for their businesses. To do so, the key processes need to be measured using dashboards that proactively help decisions making, facilitate the strategy execution and keep the employees focused. The purpose of this article is to identify the design features of a risk analysis dashboard and their effects on the perceived ease of use and perceived usef

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Hughes, Todd C., Tina Coleman, David Benjamin Hellar, Laurian C. Vega, and Emily S. Patterson. "Web Application Dashboards." Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 3, no. 1 (2014): 186–90. http://dx.doi.org/10.1177/2327857914031030.

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The Ozone Widget Framework (OWF) is a dashboard environment that enables users to select and arrange web applications in a highly customized way. OWF is available as Free Open Source Software and has been deployed in a variety of defense and intelligence analysis environments ranging from real-time analytics, cyber-situational awareness, to strategic and operational planning. These environments share characteristics with the information analysis and workflow needs of health care. This paper discusses those similarities and the current and future possibilities for OWF usage in health care.

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Firmansyah, Muhamad Dody, and Zurina Saaya. "Visualizing Content Performance Analytics for Strategic Decision-Making in News Portal." International Journal of Research and Innovation in Social Science IX, no. VI (2025): 2270–78. https://doi.org/10.47772/ijriss.2025.906000174.

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In the digital era, news portals have become essential platforms for delivering timely news and information across diverse topics such as politics, business, technology, and public affairs. These platforms, which may be operated by independent media, private corporations, or government institutions. It also generates extensive user engagement data including metrics like page views, reading duration, and user interactions. Despite the abundance of this data, many editorial teams lack the analytical tools necessary to extract actionable insights to guide content strategy and audience engagement.

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Mogha, Ayush, Abhinav, Ankur Tomar, Vinayak, and Suneet Shukla. "Blinkit sales analysis using power BI: uncovering insights through data visualization." International Journal of Research in Engineering and Innovation 09, no. 03 (2025): 102–9. https://doi.org/10.36037/ijrei.2025.9303.

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The Blinkit dashboard serves as a vital tool for businesses, particularly in competitive markets where retaining existing customers proves more cost-effective than acquiring new ones. This study offers a detailed analysis of Blinkit operations using Microsoft Power BI, encompassing all key stages such as data preparation, data connection, cleaning, and the development of Key Performance Indicators (KPIs). The dashboard is designed to provide interactive visualizations, enabling users to gain meaningful insights and identify key findings effectively. By leveraging a Blinkit grocery dataset, the

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Ashish, Kumar, and Arpit Jain Dr. "Utilizing KPI Analysis and Dashboards for Strategic Decision-Making in Customer Success." International Journal of Innovative Science and Research Technology (IJISRT) 9, no. 11 (2025): 3434–48. https://doi.org/10.5281/zenodo.14769318.

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In today's highly competitive business landscape, customer success has emerged as a crucial element for driving long-term growth and enhancing customer retention. To optimize customer success initiatives, organizations are increasingly turning to key performance indicators (KPIs) and dashboards as tools for informed decision-making. This paper explores the  strategic use of KPI analysis and dashboards in customer success teams to enhance operational efficiency and foster data- driven decision-making. The objective is to highlight the importance of aligning customer success metrics with or

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Zaman, Sadia, Mohammad Ariful Islam, Sumyta Haque, and Hosne Ara Mohna. "A REVIEW OF AI-POWERED DATA VISUALIZATION IN ENTERPRISE REPORTING: DASHBOARD DESIGN AND INTERACTIVE ANALYTICS." American Journal of Advanced Technology and Engineering Solutions 02, no. 01 (2022): 32–54. https://doi.org/10.63125/gabst658.

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The increasing complexity and volume of data within modern enterprises have significantly elevated the importance of advanced, intuitive, and adaptive visualization tools for reporting and analytics. This study systematically reviews and conducts a meta-analysis of existing research on artificial intelligence (AI)-powered data visualization dashboards, with a specific emphasis on their design, interactivity, and analytical effectiveness within enterprise contexts. It critically evaluates the role of AI technologies—including predictive analytics, anomaly detection, and natural language process

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Allio, Michael K. "Strategic dashboards: designing and deploying them to improve implementation." Strategy & Leadership 40, no. 5 (2012): 24–31. http://dx.doi.org/10.1108/10878571211257159.

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Mgbame, Azubike Collins, Oyinomomo-emi Emmanuel Akpe, Abraham Ayodeji Abayomi, Ejielo Ogbuefi, and Oluwatobi Opeyemi Adeyelu. "Developing Low-Cost Dashboards for Business Process Optimization in SMEs." International Journal of Management and Organizational Research 1, no. 1 (2022): 214–30. https://doi.org/10.54660/ijmor.2022.1.1.214-230.

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Small and Medium-sized Enterprises (SMEs) often face resource constraints that hinder their ability to adopt sophisticated data-driven tools for monitoring and improving operational efficiency. This paper explores the development and deployment of low-cost dashboards as practical, scalable solutions for optimizing business processes in SMEs. By leveraging open-source platforms, affordable software tools, and cloud-based services, SMEs can gain real-time visibility into key performance indicators (KPIs), streamline workflows, reduce waste, and enhance decision-making. The study emphasizes the i

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Omisola, Julius Olatunde, Joseph Oluwasegun Shiyanbola, and Grace Omotunde Osho. "A KPI-Driven Decision Intelligence Model: Using Integrated Dashboards to Enhance Strategic Operational Control in Advanced Manufacturing." Journal of Frontiers in Multidisciplinary Research 4, no. 1 (2023): 93–103. https://doi.org/10.54660/.ijfmr.2023.4.1.93-103.

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In the context of advanced manufacturing, maintaining operational control and making informed strategic decisions is critical to achieving competitiveness and efficiency. Traditional decision-making processes often rely on fragmented data sources and delayed insights, hindering timely actions. This proposes a KPI-driven decision intelligence model that integrates real-time data visualization through dashboards to enhance strategic operational control in manufacturing environments. Key Performance Indicators (KPIs), such as production efficiency, downtime, and quality control, serve as the foun

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Umana, Andikan Udofot, Erica Afrihyia, Mavis Appoh, et al. "Data-Driven Project Monitoring: Leveraging Dashboards and KPIs to Track Performance in Technology Implementation Projects." Journal of Frontiers in Multidisciplinary Research 3, no. 2 (2022): 35–48. https://doi.org/10.54660/.ijfmr.2022.3.2.35-48.

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Effective project monitoring is critical for the successful execution of technology implementation projects, which often involve complex dependencies, cross-functional teams, and rapidly changing requirements. This paper explores a data-driven approach to project monitoring by leveraging real-time dashboards and key performance indicators (KPIs) to enhance visibility, accountability, and decision-making across all phases of project execution. By integrating project management tools with analytics platforms, organizations can create dynamic dashboards that provide stakeholders with real-time in

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Shiksha, Rout. "Management Dashboards: Creating and building dashboards to highlight control anomalies and deviations in business processes." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 7, no. 2 (2021): 1–10. https://doi.org/10.5281/zenodo.14040229.

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In today's dynamic business environment, effective management dashboards are crucial for monitoring performance and ensuring compliance with internal controls. This Article focuses on the design and implementation of dashboards that highlight control anomalies and deviations in business processes. By leveraging data visualization techniques, the dashboards facilitate real-time insights into operational efficiency and compliance status. The use of key performance indicators (KPIs) enables organizations to quickly identify areas of concern and make informed decisions. Additionally, the article e

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Megha Hooli. "Enterprise dashboards and decision support systems: Engineering for Actionable Intelligence." World Journal of Advanced Engineering Technology and Sciences 15, no. 3 (2025): 1901–8. https://doi.org/10.30574/wjaets.2025.15.3.1062.

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Enterprise dashboards and decision support systems have evolved beyond traditional reporting mechanisms to become sophisticated platforms for generating actionable intelligence that transforms organizational decision-making processes. The transformation from passive data visualization tools to dynamic decision engines represents a fundamental shift in how organizations process information and respond to complex operational challenges. Modern decision-centric platforms integrate real-time analytics, predictive modeling, and contextual visualization frameworks while incorporating human-computer

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Ojonugwa, Benjamin Monday, Onyeka Kelvin Chima, Onyinye Jacqueline Ezeilo, Sandra Orobosa Ikponmwoba, Akoche Ochefu, and Michael Olumuyiwa Adesuyi. "Integrated Business Performance Monitoring Models Using Excel-Based Dashboards and Manual Controls." International Journal of Multidisciplinary Research and Growth Evaluation 1, no. 2 (2020): 109–18. https://doi.org/10.54660/.ijmrge.2020.1.2.109-118.

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The integration of business performance monitoring models through Excel-based dashboards and manual controls offers an effective, cost-efficient solution for businesses seeking to track and improve operational performance. This approach combines the strengths of dynamic data visualization with the reliability of manual oversight, providing a comprehensive system for real-time decision-making and long-term strategic planning. Excel-based dashboards facilitate the aggregation and analysis of diverse business data, such as sales, finance, inventory, and HR metrics, through customizable templates

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Divjak, Blaženka, Petra Vondra, and Katarina Pažur Aničić. "Strategic Development of a National Pre-tertiary Learning Analytics System." Journal of information and organizational sciences 46, no. 1 (2022): 173–95. http://dx.doi.org/10.31341/jios.46.1.10.

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This paper elaborates the design of a National Learning Analytics (LA) and Educational Data Mining System for pre-tertiary education in Croatia. The described approach consists of the following five phases: 1) objectives setting, 2) user needs analysis, 3) data availability analysis, 4) dashboards pre-design and 5) validation of functionalities. There is an evident research gap, as well as the lack of practical examples about the development of a Learning Analytics System (LAS) for pre-tertiary education on the national and/or regional level. Therefore, this research aims to make a scientific

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Rouhani, Saeed, and Shooka Zamenian. "An Architectural Framework for Healthcare Dashboards Design." Journal of Healthcare Engineering 2021 (October 27, 2021): 1–12. http://dx.doi.org/10.1155/2021/1964054.

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In today’s competitive environment, one of the new tools in the field of information technology is business or organizational dashboards that are a backup in the process of strategic management of organizations. The purpose of the current research is to provide a framework to design the healthcare dashboard through technical architecture with fulfilling the decision-makers’ requirements. In this study, a common qualitative research method, metasynthesis, is applied, including a seven-step set of research questions, conducting systematic literature search and selection of suitable papers, data

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Santoso, Cahyono Budy, Rifaa Khairunnisa, Mutia Rachma, and Seibah Humayyah. "Implementasi Data Warehouse dan Business Intelligence untuk Pemantauan dan Analisis Penjualan Game." TeknoIS : Jurnal Ilmiah Teknologi Informasi dan Sains 15, no. 1 (2025): 40–50. https://doi.org/10.36350/jbs.v15i1.303.

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This study aims to analyze the role of a data warehouse system in monitoring and analyzing game sales while providing technology-based solutions for strategic decision-making. The research employs a method of integrating data from various sources through extraction, transformation, and loading processes into a centralized data warehouse. Validated data is then visualized using business intelligence tools to create interactive dashboards displaying sales trends based on platforms, regions, and genres. The analysis techniques include identifying sales patterns, monitoring key performance indicat

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Shrutika Rathore, Rahul Nawkhare, Navin Sharma, Nitin Chaudhary, Saurabh Chakole, and Bhaskar Vishwakrama. "Effective Data Visualization Techniques for Business Decision-Makers." International Research Journal on Advanced Engineering and Management (IRJAEM) 3, no. 05 (2025): 2029–36. https://doi.org/10.47392/irjaem.2025.0318.

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This paper examines how data visualization techniques enable decision-makers to make informed, accurate, and concise decisions, ultimately supporting businesses in their growth and enabling them to anticipate and proactively overcome problems. Data visualization is a way to tell a story that depicts a business's overall performance. The study also shows that different types of charts, dashboards, storytelling methods, and the evolution of AI-driven visualization determine the growth of business intelligence and enhance strategic planning. Additionally, this research paper examines real-world c

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Alauddin, Md. "Data Analysis Using Power BI." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04149.

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Abstract In today's data-driven world, organizations are increasingly relying on data analytics to derive actionable insights and make informed decisions. This dissertation explores the application of Power BI, a powerful business analytics tool by Microsoft, in transforming raw data into meaningful visual reports and dashboards. The study aims to demonstrate how Power BI can be effectively used to analyse, visualize, and interpret large datasets to support strategic decision-making processes. The research highlights key features of Power BI, including its data connectivity capabilities, data

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Erkollar, Alptekin, and Birgit Oberer. "Multidimensional Dashboards for Evaluating Strategic brand Management Processes for Multi-brand Companies." Procedia - Social and Behavioral Sciences 235 (November 2016): 505–13. http://dx.doi.org/10.1016/j.sbspro.2016.11.062.

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Shariatnejad, Ali, and Faezeh Hasanvand. "Identifying the Consequences of Using Strategic Management Dashboards with the FCM Method." Management and Development Process 37, no. 2 (2024): 43–72. https://doi.org/10.61186/jmdp.37.2.43.

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Doe, John. "Enhancing Procurement Efficiency through Data-Driven Dashboards: Functionality, Insights, and Strategic Impact." International Journal of Emerging Research in Engineering and Technology 2 (2021): 1–12. https://doi.org/10.63282/3050-922x.ijeret-v2i3p101.

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Oktafialfa, Geraldyo, and Ari Purno Wahyu. "Implementation of Business Intelligence for Analysis Data of Drug Sales Using Exploratory Data Analysis (EDA) and Visualization Data Using Looker Studio." Syntax Literate ; Jurnal Ilmiah Indonesia 9, no. 10 (2024): 5794–802. http://dx.doi.org/10.36418/syntax-literate.v9i10.51669.

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This study aims to analyze pharmaceutical sales performance by leveraging big data and advanced information technology tools, providing insights for improved business strategies. Using the Exploratory Data Analysis (EDA) method, the study processes raw sales data through spreadsheet applications to identify key patterns and trends. The findings are then visualized with Looker Studio on an intelligent dashboard tailored to the needs of the marketing team. The dashboard enables quick, data-driven decision-making by displaying performance metrics and trends relevant to sales and marketing strateg

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Dhivya, Mrs N. "From Data to Decisions: Power BI Visualization for Hiring and Recruitment Analytics." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 652–54. https://doi.org/10.22214/ijraset.2025.72047.

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This paper examines how SAN Engineering Solutions effectively uses Microsoft Power BI to convert unstructured and complex recruitment data into clear, strategic HR insights. In a competitive hiring environment, Business Intelligence (BI) tools like Power BI play a critical role in turning raw data into actionable decisions. The study highlights Power BI’s use in tracking recruiter performance, evaluating sourcing channels, analyzing diversity, calculating cost-per-hire, and monitoring time-to-hire. Through dashboards, interactive visuals, and real-time analytics, HR teams can identify issues,

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Narsepalle, Krishnam Raju. "Real-Time GenAI Dashboards for End-to-End Retail Supply Chain Optimization." European Journal of Computer Science and Information Technology 13, no. 51 (2025): 76–87. https://doi.org/10.37745/ejcsit.2013/vol13n517687.

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The incorporation of Generative Artificial Intelligence (GenAI) in real-time dashboard systems is revolutionizing the working environment of retail supply chains. This paper presents an in-depth study of GenAI-enabled dashboards that optimize the end-to-end supply chain by processing real-time data, providing predictive analytics, and enabling fast, intelligent visualization. By addressing the issues of stockouts, inefficient lead times, and checkout delays, the paper explores how streaming information directly provided by systems such as point-of-sale systems, IoT sensors, and inventory platf

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Frempong, David, Oluwatobi Akinboboye, Isaac Okoli, et al. "Real-Time Analytics Dashboards for Decision-Making Using Tableau in Public Sector and Business Intelligence Applications." Journal of Frontiers in Multidisciplinary Research 3, no. 2 (2022): 65–80. https://doi.org/10.54660/.ijfmr.2022.3.2.65-80.

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Real-time analytics dashboards have become essential tools for enhancing decision-making processes in both public sector operations and business intelligence environments. This study investigates the implementation and impact of real-time analytics dashboards developed using Tableau, a leading data visualization and business intelligence software, across government, healthcare, and commercial sectors. The research explores how Tableau’s advanced visualization capabilities, real-time data connectivity, and user-friendly interface facilitate actionable insights, improve operational efficiency, a

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Saurabh Mitta and Er Vikhyat Gupta. "Fill Rate Optimization: Real-Time Tableau Dashboards For Inventory And Ad Slot Management." Universal Research Reports 12, no. 1 (2025): 97–106. https://doi.org/10.36676/urr.v12.i1.1464.

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Fill Rate Optimization has become a critical factor in maximizing revenue and operational efficiency in digital advertising and inventory management. This research explores the integration of real-time Tableau dashboards to streamline the management of inventory and ad slots. By leveraging dynamic data visualization, organizations can gain instantaneous insights into fill rate performance, identify inefficiencies, and implement corrective measures swiftly. The study demonstrates how real-time dashboards enable stakeholders to monitor key performance indicators, optimize ad placements, and ensu

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May Equitozia Eyeregba, Chukwunweike Mokogwu, Somto Emmanuel Ewim, and Titilayo Deborah Olorunyomi. "Integrating visual reporting, analytics, and sustainable dashboards to support decision-making and growth in small and medium enterprises (SMEs)." International Journal of Frontiers in Science and Technology Research 7, no. 2 (2024): 090–99. http://dx.doi.org/10.53294/ijfstr.2024.7.2.0059.

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Small and Medium Enterprises (SMEs) are vital to economic growth, job creation, and innovation, yet they often face significant challenges in decision-making and resource management due to limited access to data insights. As digital transformation reshapes business landscapes, integrating visual reporting, analytics, and sustainable dashboards has become a critical strategy for enhancing SMEs' operational efficiency and growth potential. This review explores how these tools can empower SMEs by providing real-time access to actionable data, enabling more informed decision-making and promoting s

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Puttaraju, Karthik Hosavaranchi. "Augmenting Classical Strategic Tools with Artificial Intelligence: A Systematic Review of Enhanced Decision-Making Methodologies." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 11 (2023): 1–8. https://doi.org/10.55041/ijsrem26594.

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Abstract—This literature review examines the transformation of established strategic management tools through artificial intelligence (AI) integration, focusing on nine fundamental methodologies: SWOT Analysis, BCG Matrix, Porter’s Five Forces, OKRs, Blue Ocean Strategy, Balanced Scorecard, Hoshin Kanri, Agile Strategies, and Digital Transformation. While these frameworks have proven their value over decades, the emergence of AI technologies presents unprecedented opportunities for enhancement. This review synthesizes current research on how AI capabilities—including machine learning, natural

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Setyawan, Adhita Arif, Eki Dudi Darmawan, and Widwi Handari Adji. "Dampak Pemanfaatan Teknologi Business Intelligence untuk Optimalisasi Strategi Penjualan dengan Metode OLAP di Warmindo X." Journal of Practical Computer Science 5, no. 1 (2025): 16–24. https://doi.org/10.37366/jpcs.v5i1.5816.

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This research was conducted simulatively on an MSME business called Warmindo X which was used as a case study to test the application of OLAP in a Business Intelligence system. The purpose of this research is to develop a data warehouse and information dashboard system based on Tableau technology, by utilizing the utilizing the OLAP method to support strategic decision making and increase sales effectiveness at Warmindo X. improve sales effectiveness at Warmindo X. BI implementation implementation is carried out using Pentaho Data Integration for the ETL (Extract, Transform, Load) and Tableau

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Ligonenko, Larisa. "DIGITALIZATION IN ENTERPRISE PERFORMANCE MANAGEMENT AND STRATEGY FORMATION: IMPACT AND TRANSFORMATIONAL POTENTIAL." Economic scope, no. 199 (April 14, 2025): 220–27. https://doi.org/10.30838/ep.199.220-227.

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This article investigates the transformative impact of digitalization on the performance management system of enterprises and the formation of their strategic directions in a rapidly changing economic environment. The authors offer a comprehensive theoretical and methodological justification for the integration of digital tools—such as ERP systems, KPI dashboards, BI platforms, and scenario-based planning software—into enterprise management architectures. The study highlights that digitalization is not merely a technical innovation but a fundamental driver of managerial paradigm shifts, facili

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Aguiar, Clara Gouveia, and Symone Gomes Soares Alcalá. "Business Intelligence applied to inventory management: case of a small retail company." Revista de Gestão e Secretariado 15, no. 2 (2024): e3457. http://dx.doi.org/10.7769/gesec.v15i2.3457.

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Business Intelligence (BI) is a set of techniques that assist organizations in making data-driven decisions, enabling interactive access to information, often in real-time. In this way, its application provides precise business analyses, contributing to goal tracking, results projection, identification of opportunities, and anticipation of risks. Therefore, the objective of this work is to create a BI solution using data extracted from an Enterprise Resource Planning (ERP) to assist inventory management in a small-scale retail company specializing in party supplies. Factors such as shelf stock

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Imeldawaty Gultom, Eka Pandu Cynthia, and Alabbas Hussein Saeed. "Visualization and Analysis of Employee Performance Data Using a Power BI-based Business Intelligence Dashboard." Journal of Computer Science Artificial Intelligence and Communications 1, no. 2 (2024): 46–51. https://doi.org/10.62712/jocsaic.v1i2.19.

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In the current digital and competitive era, the utilization of Business Intelligence (BI) technology has become crucial in supporting data-driven decision-making. This research aims to develop and analyze a Power BI-based Business Intelligence dashboard focused on visualizing employee performance. This study was conducted by collecting performance data from the Human Resource Information System (HRIS), which was then processed and visualized in the form of key metrics such as attendance rates, individual target achievements, productivity per division, and periodic performance evaluations. Powe

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Dearniwati, Erma, Untung Suprihadi, and Onki Alexander. "Business Intelligence Analysis in HRIS Monitoring Dashboards using Power BI." Syntax Literate ; Jurnal Ilmiah Indonesia 9, no. 11 (2024): 6454–64. http://dx.doi.org/10.36418/syntax-literate.v9i11.17007.

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This study aims to design and develop an information dashboard to assist PT. Samudra Dyan Praga in managing human resources (HR) and budgeting in exhibition activities. The research method used is a web-based information system design approach, which involves the stages of design, development, and testing of a dashboard to monitor and report on labor needs in real time. The result of this research is the creation of a dashboard that provides information on the number of workers needed, job specifications, and the budget required for each ongoing exhibition project. This dashboard can also disp

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Gonçalves, Célia Talma, Maria José Angélico Gonçalves, and Maria Inês Campante. "Developing Integrated Performance Dashboards Visualisations Using Power BI as a Platform." Information 14, no. 11 (2023): 614. http://dx.doi.org/10.3390/info14110614.

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The rapid advance of business technologies in recent years has made knowledge an essential and strategic asset that determines the success or failure of an organisation. Access to the right information in real time and with high selectivity can be a competitive advantage in the business environment. Business intelligence systems help corporate executives, business managers, and other operational workers make better and more informed business decisions. This study aimed to assess the impact of using business intelligence tools on the decision-making process in organisations, specifically in sal

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Safdari, Reza, Marjan Ghazisaeedi, Mahboobeh Mirzaee, Jebrail Farzi, and Azadeh Goodini. "Development of Balanced Key Performance Indicators for Emergency Departments Strategic Dashboards Following Analytic Hierarchical Process." Health Care Manager 33, no. 4 (2014): 328–34. http://dx.doi.org/10.1097/hcm.0000000000000033.

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CRUZ MARTINEZ, SILVIA JACQUELINE, EDDIE DAMIAN ASTO CASTRO, and Alex Pacheco. "Management information system, a strategic tool to enhance decision making in micro and small businesses." F1000Research 13 (March 21, 2024): 206. http://dx.doi.org/10.12688/f1000research.144450.1.

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Background Nowadays, companies face continuous changes, which force them to be more versatile by managing large volumes of data, which do not always become relevant information for decision making. Therefore, the objective of this research is to implement a management information system to improve administrative management in micro and small businesses. Method it was developed under the approach of the agile methodology “SCRUM” following its 5 phases; In addition, the visual basic programming language in ASP.NET was used for the development of the source code and Microsoft SQL Server 2019 and

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Kharazmi, Erfan, Ali Majidpour Azad Shirazi, and Azita Yazdani. "Development and Usability Evaluation of a Web-Based Health Information Technology Dashboard of Quality and Economic Indicators." Frontiers in Health Informatics 12 (August 8, 2023): 151. http://dx.doi.org/10.30699/fhi.v12i0.466.

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Introduction: Strategic dashboards, including hospital economic monitoring systems, play a major role in analyzing data and making decisions. As the health system is a multidimensional ecosystem, decision-makers and healthcare officials must gather and integrate information from numerous health information systems to monitor and direct healthcare centers. This study aims to develop and usability evaluation of a health information technology dashboard in Iran that utilizes qualitative and economic indicators.Material and Methods: This study was conducted in four phases. It included extracting t

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Pace, Adriana, and Sandra C. Buttigieg. "Can hospital dashboards provide visibility of information from bedside to board? A case study approach." Journal of Health Organization and Management 31, no. 2 (2017): 142–61. http://dx.doi.org/10.1108/jhom-11-2016-0229.

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Purpose The purpose of this paper is to analyse hospital dashboards’ visibility of information at different management levels to improve quality and performance in an acute general hospital. Design/methodology/approach Data were generated via 21 semi-structured interviews across different management levels. Findings All management levels had greater visibility of information, could make informed decisions, and registered performance improvement. Specifically, waiting time improved, however since introduction of hospital dashboards was work-in-progress at time of study, managers could not recor

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Patil, Ashish. "Strategic Planning Under Uncertainty: A Framework for End-to-End Visibility in Regulated Supply Chains." International Journal of Multidisciplinary Research and Growth Evaluation 5, no. 3 (2024): 1064–68. https://doi.org/10.54660/.ijmrge.2024.5.3.1064-1068.

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In regulated industries such as biopharmaceuticals and advanced therapies, uncertainty in demand, variability in manufacturing yields, and complex compliance standards introduce critical challenges to strategic supply chain planning. This paper presents a robust decision intelligence framework that delivers real-time end-to-end visibility, predictive forecasting, and dynamic capacity planning capabilities across the supply chain ecosystem. Through the integration of machine learning, stakeholder-centric dashboards, and prescriptive optimization models, the framework facilitates proactive respo

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Ezhilarasi, Dr T., and Jaswanth M. S. "A Study on Implementation of Power Bi Dashboards to Streamline Business Processes." International Journal for Research in Applied Science and Engineering Technology 12, no. 7 (2024): 1548–51. http://dx.doi.org/10.22214/ijraset.2024.63802.

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Abstract: This study aims to address day-to-day business challenges by utilizing a robust business intelligence tool. The objective of this study is revolve around enhancing data management and analysis within the organization, specifically using Power BI as a powerful tool. To leverage the capabilities of Power BI (Business Intelligence) to solve various business problems encountered on a daily basis. By harnessing the features and functionalities of this tool, organizations can gain insights, make data-driven decisions, and improve overall operational efficiency. To establish effective data

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Sojka, Pavol. "LINGUISTIC SUMMARIES IN EVALUATING ELEMENTARY CONDITIONS AND THEIR APPLICATION IN SOFTWARE ENVIRONMENT." Proceedings of CBU in Natural Sciences and ICT 2 (October 24, 2021): 93–99. http://dx.doi.org/10.12955/pns.v2.159.

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Data users are generally interested in two types of aggregated information: summarization of the selected attribute(s) for all considered entities and retrieval and evaluation of entities by the requirements posed on the relevant attributes. Less statistically literate users (e.g., domain experts) and the business intelligence strategic dashboards can benefit from linguistic summarization, i.e. a summary like most customers are middle-aged can be understood immediately. Evaluation of the mandatory and optional requirements of the structure P1 and most of the other posed predicates should be sa

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