Relevant bibliographies by topics / Storytelling Data Analytics Business Intelligence Microsoft Power BI

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Storytelling Data Analytics Business Intelligence Microsoft Power BI'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Storytelling Data Analytics Business Intelligence Microsoft Power BI"

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Kumail, Saifuddin Saif. "Advanced SAP Data Analytics using Microsoft Power BI." International Journal of Leading Research Publication 5, no. 8 (2024): 1–6. https://doi.org/10.5281/zenodo.14945336.

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SAP S/4HANA is an advanced enterprise resource planning (ERP) system that enables real-time business reporting and analytics. Power BI, a Microsoft business intelligence tool, provides interactive dashboards and data visualizations. Integrating SAP S/4HANA with Power BI allows organizations to harness the power of SAP’s in-memory data processing with Power BI’s rich visualization and analytics capabilities. This paper provides a detailed technical overview of the integration process, covering data extraction methods, connection architectures, best practices, and performance optimiz
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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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Krishna Kishor Tirupati, Archit Joshi, Dr S P Singh, Akshun Chhapola, Shalu Jain, and Dr. Alok Gupta. "Leveraging Power BI for Enhanced Data Visualization and Business Intelligence." Universal Research Reports 10, no. 2 (2024): 676–711. http://dx.doi.org/10.36676/urr.v10.i2.1375.

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In today’s data-driven world, businesses must harness the power of data to remain competitive and make informed decisions. Power BI, a leading business analytics tool from Microsoft, offers comprehensive capabilities for transforming raw data into meaningful insights. This paper explores the benefits of leveraging Power BI for enhanced data visualization and business intelligence. It emphasizes how Power BI’s interactive dashboards, customizable reports, and real-time data updates empower organizations to gain deeper insights and foster data-driven decision-making. By integrating data from var
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Listiana, Nora. "Business Intelligence HRIS Monitoring Dashboard to Increase User Interaction Using Power BI." Lead Journal of Economy and Administration 2, no. 4 (2024): 206–15. http://dx.doi.org/10.56403/lejea.v2i4.185.

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PT Samudra Dyan Praga is a company operating in the exhibition contracting industry with national and international reach, which has several branches throughout Indonesia. The implementation of exhibition events which often take place simultaneously, as well as the dynamic movement of the workforce, creates its own challenges in terms of reporting employee data. The process of updating data to reporting still relies heavily on separate spreadsheets, thus hampering data recapitulation, analysis and management decision-making processes related to human resources. The main goal of this research i
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Sharma, Nikita, and Dhrubasish Sarkar. "Healthcare Data Analytics Using Power BI." International Journal of Software Innovation 10, no. 1 (2022): 1–10. http://dx.doi.org/10.4018/ijsi.293267.

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Innovations in computer technologies have revolutionized attention in recent years. Data analytics has emerged as a promising tool for determination problems in various health care connected disciplines. The effective utilization of knowledge mining in deeply noticeable fields like e-business, promoting and retail has prompted application in completely different businesses and divisions. Among these components merely finding is the medical services. Medical services organizations can reduce down on medical services expense and furnish better consideration with the help of predictive analysis.
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O., Vinnychuk, Vinnychuk I., and Biloskurskyy R. "CONCEPTUAL FUNDAMENTALS OF PRACTICAL APPLICATION OF BUSINESS ANALYSIS." Scientific Bulletin of Kherson State University. Series Economic Sciences, no. 45 (March 30, 2022): 69–75. http://dx.doi.org/10.32999/ksu2307-8030/2022-45-9.

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The article investigates and systematizes the existing approaches to the term "business analyst" as a process of processing and studying data using certain methods and converting data into new knowledge to improve the efficiency of the enterprise. Business intelligence is defined as a set of methods, technologies, systems, practices, methodologies and programs that analyze business data. This analysis allows the company to understand and analyze the market position and make timely management decisions. A review of modern foreign scientific publications on business analytics. Despite the signif
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Town, Paul, and Fadi Thabtah. "Data Analytics Tools: A User Perspective." Journal of Information & Knowledge Management 18, no. 01 (2019): 1950002. http://dx.doi.org/10.1142/s0219649219500023.

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Business Intelligence Tools (BI Tools) can be an intelligent way for individuals to undertake data analysis and reporting for guiding decision-making processes. There are many different BI Tools available in the market today, as well as information to assist organisations in evaluating their effectiveness. This paper focusses on two commercially available BI Tools: Tableau and Microsoft Power BI. It aims to determine which BI Tool is better for data analysis and reporting from an end user’s point of view. This paper undertakes an evaluation of both tools and compares which is more suitable for
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Dashora, Shalin. "Cloud-based Data Analytics for Business Intelligence." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 2758–65. http://dx.doi.org/10.22214/ijraset.2023.57219.

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Abstract: In the era of data-driven decision-making, organizations are turning to cloud-based data analytics for business intelligence to overcome the limitations of traditional on-premises systems. This paradigm shift offers the promise of scalable, agile, and advanced analytics capabilities. This paper explores the landscape of cloud- based data analytics for business intelligence by investigating existing systems, challenges, and opportunities. The study first examines leading cloud platforms such as Amazon Web Services (AWS) Redshift, Microsoft Azure Synapse Analytics, Google BigQuery, and
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Wark, Jason David. "Power Up: Combining Behavior Monitoring Software with Business Intelligence Tools to Enhance Proactive Animal Welfare Reporting." Animals 12, no. 13 (2022): 1606. http://dx.doi.org/10.3390/ani12131606.

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Animal welfare is a dynamic process, and its evaluation must be similarly dynamic. The development of ongoing behavior monitoring programs in zoos and aquariums is a valuable tool for identifying meaningful changes in behavior and allows proactive animal management. However, analyzing observational behavior data in an ongoing manner introduces unique challenges compared with traditional hypothesis-driven studies of behavior over fixed time periods. Here, I introduce business intelligence software as a potential solution. Business intelligence software combines the ability to integrate multiple
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Zdenka, Cumano, and Sharma Bharti. "Empowering Supply Chain Analytics during the Post-Pandemic Recovery using Power BI." Journal of Management Science and Business Intelligence 7, no. 2 (2022): 1–6. https://doi.org/10.5281/zenodo.7241847.

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The post-pandemic world has exposed companies' various weaknesses in the supply chain strategy, such as product shortages, loss of revenue, high transportation costs, reputational damage, and increased competitive pressures. These manufacturing and logistical constraints have necessitated an expedited manner to generate a visualization dashboard to allow supply chain management executives to exercise rapid, more accurate, and agile decision-making. The utilization of a business intelligence tool such as Microsoft Power BI increases with industries compared to the conventional data analysis
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Dissertations / Theses on the topic "Storytelling Data Analytics Business Intelligence Microsoft Power BI"

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Slaninková, Michaela. "Business Intelligence jako nástroj analýzy dat." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-378340.

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The diploma thesis focuses on the usage of Business Intelligence for the analysis of the provided employee data. It describes the process of creating dashboards in the chosen Business Intelligence tools, compares them based on the defined criteria and chooses the most suitable tool. The diploma thesis also contains a description of an implementation process of the created solution and an economic evaluation including costs and benefits.
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Books on the topic "Storytelling Data Analytics Business Intelligence Microsoft Power BI"

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Mastering Microsoft Power BI: Expert techniques for effective data analytics and business intelligence. Packt Publishing, 2018.

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Mastering Microsoft Power BI: Expert Techniques for Effective Data Analytics and Business Intelligence. de Gruyter GmbH, Walter, 2018.

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Supercharge Power BI: Power BI Is Better When You Learn to Write DAX. Tickling Keys, Incorporated, 2024.

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Allington, Matt. Supercharge Power BI: Power BI is better when you learn to write DAX. 2018.

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Allington, Matt. Supercharge Power BI: Power BI Is Better When You Learn to Write DAX. Tickling Keys, Incorporated, 2021.

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Supercharge Power BI: Power BI Is Better When You Learn to Write DAX. Tickling Keys, Incorporated, 2021.

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Microsoft Power BI Complete Reference: Bring your data to life with the powerful features of Microsoft Power BI. Packt Publishing, 2018.

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Collect, Combine, and Transform Data Using Power Query in Excel and Power BI. Microsoft Press, 2018.

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DeVault, Justin, and Delia Fernandez. Collect, Combine, and Transform Data Using Power Query in Excel and Power BI. Pearson Education, 2023.

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Clark, Dan. Beginning Power BI with Excel 2013: Self-Service Business Intelligence Using Power Pivot, Power View, Power Query, and Power Map. Apress, 2014.

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Book chapters on the topic "Storytelling Data Analytics Business Intelligence Microsoft Power BI"

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Al-Said, Nidal. "Integrating Business Intelligence and AI for Collaborative Leadership in Organizations." In Embracing the Cloud as a Business Essential. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9581-3.ch011.

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Organizational collaborative leadership is being revolutionized by the integration of artificial intelligence (AI) and business intelligence (BI), which makes data-driven decision-making possible. To improve leadership collaboration, one of the best strategies is to create an AI-driven BI ecosystem that makes use of automation, real-time insights, and predictive analytics. Organizations may automate data analysis, produce actionable insights, and make it easier for leadership teams to communicate with one another by utilizing AI-powered BI solutions like Microsoft Power BI. Leaders may use pre
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Conference papers on the topic "Storytelling Data Analytics Business Intelligence Microsoft Power BI"

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Ifalade, Oluwajuwon, and Opeyemi Adeleke. "Driving Profitability in Oil and Gas production Operations by Leveraging on Business Process Automation Solutions: The AI Journey." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/221760-ms.

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Abstract The Oil and Gas industry, traditionally non-digital native, is experiencing a significant uptick in the adoption of technology throughout its value chain. This paper unveils a compelling use case of the Microsoft Power series—Power BI, specifically—in revolutionizing reporting, streamlining approval processes, and optimizing for maximum economic outcomes. NNPC E & P Limited (NEPL) is the upstream operating subsidiary of the national oil company, NNPC Limited. This role presents a unique challenge of managing assets across various operational models. This raises the question of fin
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Andov, Stojan, Violeta Cvetkoska, and Tea Mijac. "Unveiling Global Road Accident Patterns - Insights, Analytics, and Implications for Safer Driving Practices." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2023. http://dx.doi.org/10.47063/ebtsf.2023.0031.

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Every day, we are confronted with alarming news of serious injuries and fatalities resulting from car accidents. In the past decade, these incidents have been on the rise, posing a significant concern for individuals and societies worldwide. The impact of these accidents is particularly devastating when innocent lives, including children, are affected by the long-lasting consequences. While driver behavior remains a major contributing factor to road accidents, there are also other indirect reasons such as infrastructure issues and weather conditions. Addressing this global problem is of utmost
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