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Journal articles 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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1

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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Segall, Richard S. "Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases." Journal of Systemics, Cybernetics and Informatics 22, no. 7 (2024): 6–15. https://doi.org/10.54808/jsci.22.07.6.

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Data visualization and data mining are transdisciplinary tools for predictive and descriptive analytics. This presentation shows the abundance of data visualization tools currently available that are applicable for multi-disciplinary data. Some examples of visualization are presented as applied for multi-disciplines. Results of applying the most commonly used data visualization tools of Tableau [1] and Power BI [2] are presented as preliminary outputs of a funded Seed Money Grant that applies data for transmissible diseases for humans and also plant pathology. Tableau Software, LLC is an Ameri

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Naresh, Kumar Rapolu. "Leveraging Machine Learning and Azure AI to Enhance SAP Reporting and Analytics." Journal of Advances in Developmental Research 15, no. 1 (2024): 1–4. https://doi.org/10.5281/zenodo.14979930.

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This research paper has successfully depicted how both machine learning and Azure Artificial Intelligence can be properly leveraged by business entities while enhancing SAP reporting and analytics. By the process of integrating SAP data with the advanced AI capabilities of Microsoft Azure, can obtain predictive analytics along with automation and real-time business insights. This can lead to better operational efficiency and decision-making. Both ML and Azure AI services can include cognitive services, Power BI and machine learning which also can enhance predictive modelling, data processing a

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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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Rodrigues Carvalho, Thiago, Washington Walmick Penafort Junior, Jean Mark Lobo de Oliveira, and Paulo Roberto Freitas Rodrigues. "STORYTELLING - HOW DATA DISPLAY IMPACTS IN A GOOD ANALYSIS." International Journal of Advanced Research 10, no. 11 (2022): 235–47. http://dx.doi.org/10.21474/ijar01/15662.

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Storytelling - As the display of data impacts on a good analysis, it is a process that seeks through the relationship between art and data science, uniting the act of storytelling and the search for information, which will help in the time of processing an important decision anddecision. The objective is to show the historical process of the joining of two distinct arts that by joining them made the data analysis process easier, in addition to how to present this data to a client orin a corporate meeting, a process facilitated by Business Intelligence tools and not leaving aside how to perform

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Bansal, Riya, Isha Aggarwal, Priyanka Surbhi, and Sonal Namdev. "Interactive visualization and performance analysis of IPL using power BI." International Journal of Research in Engineering and Innovation 09, no. 03 (2025): 123–29. https://doi.org/10.36037/ijrei.2025.9306.

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The Indian Premier League (IPL), one of the most prominent T20 cricket leagues globally, generates vast volumes of structured and unstructured data each season, including player statistics, match outcomes, team performances, and venue records. Analysing this data can provide critical insights for teams, analysts, and fans alike. This research paper presents a comprehensive analytical study of IPL data using Microsoft Power BI, a robust business intelligence tool known for its data visualization and interactive reporting capabilities. The primary objective of this study is to transform raw IPL

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Kumar, Mithilesh, Mohammad Iftekhar, Om Prakash Yadav, Pratham Kumar Shaw, and Himanshu Sirohi. "leveraging power BI for real-time sales dashboard analytics and decision-making." International Journal of Research in Engineering and Innovation 09, no. 04 (2025): 179–87. https://doi.org/10.36037/ijrei.2025.9405.

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This project presents the design and development of a comprehensive sales dashboard utilizing Microsoft Power BI, aimed at improving sales data analysis and enabling informed business decisions. The dashboard integrates and visualizes large volumes of sales data collected from various sources such as CRM systems, spreadsheets, and databases, providing a unified and realtime view of sales performance. Key features of the dashboard include interactive charts, graphs, and KPIs that track metrics like total sales, sales by region, product category performance, customer acquisition trends, and sale

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Pandipati, Suresh. "Improving Business Intelligence Reporting for Manufacturing Company: A VIKOR-Based Comparative Evaluation of BI Tools." Journal of Business Intelligence and Data Analytics 1, no. 2 (2024): 1–13. https://doi.org/10.55124/jbid.v1i2.243.

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Business intelligence (BI) reporting is essential for organizations that want to make data-driven decisions by collecting, processing, and visualizing critical business metrics. At one of the Manufacturing Company, BI reporting has been implemented to improve operational efficiency, strengthen customer relationship management (CRM), and assist in strategic planning. By using BI tools, the company can gain valuable insights into customer behavior, operational patterns, and financial performance, and implement informed and proactive business strategies. The research is of importance to Manufactu

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Gonçalves, Marco, Cátia Salgado, Amaro de Sousa, and Leonor Teixeira. "Data Storytelling and Decision-Making in Seaport Operations: A New Approach Based on Business Intelligence." Sustainability 17, no. 1 (2025): 337. https://doi.org/10.3390/su17010337.

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Seaports are experiencing several challenges due to the explosive growth of the maritime shipping business, which has led to the need for digitalized operations and more effective solutions. This article provides a comprehensive exploration of the process used to create a reliable business intelligence solution by analyzing the container delivery and pick-up services flow in one of Portugal’s largest maritime container ports, using the CRISP-DM methodology. The solution, built with Microsoft Power BI®, provides the capability to identify and address data anomalies and present key performance i

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Srikanth Yerra. "Enhancing Inventory Management through Real-Time Power BI Dashboards and KPI Tracking." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 944–51. https://doi.org/10.32628/cseit25112458.

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Effective inventory management is essential for op- timizing supply chain operations, reducing costs, and ensuring seamless product availability. Traditional inventory tracking methods often lead to inefficiencies due to delayed data updates and a lack of real-time insights. This study explores how Power BI dashboards and Key Performance Indicator (KPI) tracking can revolutionize inventory management by providing real-time visibility, data-driven decision-making, and predictive analytics. Power BI integrates with databases like SQL Server and cloud- based platforms such as Microsoft Azure, ena

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20

Khrupovych, Svitlana, and Tetiana Borysova. "Using of an artificial intelligence in the marketing analysis of unstructured data." Marketing and Digital Technologies 5, no. 1 (2021): 17–26. http://dx.doi.org/10.15276/mdt.5.1.2021.2.

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The aim of the article. The aim of the article is to find effective ways to use an artificial intelligence in the marketing analysis of unstructured data. This will allow us to highlight the benefits of using big data in marketing. To develop end-to-end analytics, it is necessary to develop a scheme of aggregation of personalized information about the client. Analyses results. It is established that the accumulated information in marketing contains a huge potential for new knowledge and can provide many new opportunities for decision-making. Unstructured data is described as information that d

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Ramesh, R., Lasya Janagama, and Sriramula Susritha. "OLOREAL: A Multidisciplinary Framework for Data-driven Real Estate Innovation." Asian Journal of Research in Computer Science 18, no. 5 (2025): 496–507. https://doi.org/10.9734/ajrcos/2025/v18i5669.

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OLOREAL is a next-generation real estate management platform developed on the OLONIX AI platform, aimed at transforming and streamlining the property ecosystem. By incorporating cutting-edge technologies like Artificial Intelligence (AI), Machine Learning (ML), Big Data Analytics, Cloud Computing, and Blockchain, OLOREAL hopes to enhance transparency, efficiency, and decision-making for all stakeholders in the real estate sector like landlords, tenants, agents, investors, and financial institutions. The platform consists of four primary modules: PropSearch, RentLeaseShare, RealAgentCRM, and Fi

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22

Shakiroh Khamis, Mazida Ahmad, Azizah Ahmad, et al. "Knowledge Visualization of Internet Usage Pattern to Improve Students’ Academic Performance Using Prescriptive Analytic." Journal of Advanced Research in Applied Sciences and Engineering Technology 48, no. 1 (2024): 283–98. http://dx.doi.org/10.37934/araset.48.1.283298.

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The knowledge discovery from graphical graphs could be challenging. Most of the time, the visual analysis cannot be done solely based on naked eyes interpretation. Therefore, knowledge visualization is vital to assist the process, especially in business intelligence and analytics to improve data insights and cognitive abilities. To effectively facilitate knowledge discovery from visual graphs, different analytical techniques should be explored in analyzing and visualizing the datasets. This study proposes an intelligent system to discover hidden knowledge from educational data by using interac

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Seturidze, Rusudan, and Nino Topuria. "A way of developing collaboration between universities and businesses in a time of COVID-19." Kybernetes 50, no. 5 (2021): 1661–78. http://dx.doi.org/10.1108/k-08-2020-0518.

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Purpose Central to problems affecting effective university–business collaboration (UBC) is the lack of intensive communication in addition to some administrative issues. This paper aims to resolve this issue by use of a uniquely designed “UBC system.” It suggests establishing a unified business analytics portal as one of the most convenient ways of facilitating UBC. This research paper describes the development and functioning of the “UBC system,” which is capable of supporting universities and businesses in terms of the COVID-19 crisis and in enabling the implementation of innovations in thei

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Thiago, Rodrigues Carvalho Washington Walmick Penafort Junior Jean Mark Lobo de Oliveira and Paulo Roberto Freitas Rodrigues. "STORYTELLING - HOW DATA DISPLAY IMPACTS IN A GOOD ANALYSIS." November 24, 2022. https://doi.org/10.5281/zenodo.7404960.

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Storytelling - As the display of data impacts on a good analysis, it is a process that seeks through the relationship between art and data science, uniting the act of storytelling and the search for information, which will help in the time of processing an important decision anddecision. The objective is to show the historical process of the joining of two distinct arts that by joining them made the data analysis process easier, in addition to how to present this data to a client orin a corporate meeting, a process facilitated by Business Intelligence tools and not leaving aside how to perform

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Kothari, Urvangkumar. "Modern Enterprise BI on Azure: Integrating SSIS Migration, Real-Time Dashboards, and Predictive Analytics with Power BI." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 7, no. 4 (2019). https://doi.org/10.37082/ijirmps.v7.i4.232596.

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The development of business intelligence (BI) has moved from static batch-based systems to dynamic, real-time and AI-enabled tools. Classic Microsoft BI products (e.g. SSIS, SSAS, SSRS) have been an excellent fit for enterprise on-premises analysis but had limitations for cloud-scale analytics, flexibility and AI integration. With organizations shifting towards cloud-based ecosystems, there is an increasing need to undergo ETL pipeline modernization and incorporate real-time analytics, without losing out on the gains of their existing MSBI investments. This article provides an end-to-end archi

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Addend, Analytics. "Microsoft Fabric Pricing: A Breakdown of Costs & Benefits." March 19, 2025. https://doi.org/10.5281/zenodo.15050471.

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With the increasing demand for data analytics, organizations are constantly looking for efficient solutions to manage and analyze their data. <strong>Microsoft Fabric</strong> is a unified data platform that integrates multiple services, including data engineering, data science, real-time analytics, and business intelligence. However, understanding <strong>Microsoft Fabric pricing</strong> is essential for businesses looking to maximize value while controlling costs. By working with a <strong>Microsoft Fabric consultant</strong> and leveraging <strong>Power B

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Addend, Analytics. "How Power BI Consulting Services Can Transform Your Business Analytics." March 19, 2025. https://doi.org/10.5281/zenodo.15050344.

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In today’s data-driven world, businesses must leverage analytics to gain actionable insights and make informed decisions. Microsoft Power BI has emerged as one of the most powerful business intelligence tools, helping organizations visualize data and drive efficiency. However, to maximize its potential, businesses often require expert guidance. This is where <strong>Power BI consulting services</strong> play a crucial role in transforming business analytics. In this blog, we’ll explore how <strong>Power BI consulting services</strong> can enhance your analytics,

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Godavari Modalavalasa. "Exploring Big Data Role in Modern Business Strategies: A Survey with Techniques and Tools." International Journal of Advanced Research in Science, Communication and Technology, January 3, 2023, 431–41. https://doi.org/10.48175/ijarsct-11900b.

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Big Data has revolutionized business intelligence and modern strategies by transforming vast, complex datasets into actionable insights. This paper explores the evolution of Big Data, from its foundational concepts to its integral role in decision-making, customer personalization, operational efficiency, risk management, and product development. The study delves into the Big Data tenets of "Volume," "Variety," "Velocity," and "Value," and how they affect data administration, processing, and storage. Data visualization tools like as Tableau and Power BI are covered, along with important technol

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Addend, Analytics. "Choosing the Right Power BI Partners: What to Look For?" March 19, 2025. https://doi.org/10.5281/zenodo.15049678.

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In today’s data-driven world, businesses rely on robust analytics tools to gain actionable insights and improve decision-making. <strong>Power BI</strong> is one of the most powerful business intelligence tools, offering real-time data visualization and reporting. However, to fully leverage its capabilities, businesses must choose the right <strong>Power BI partners</strong> who can provide expert implementation, support, and optimization. The right <strong>Power BI consulting services</strong> can help companies integrate <strong>Business Central with

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30

Giba, I. S., K. R. Salieva, A. A. Batueva, I. V. Grigorieva, and R. V. Drai. "Quality Management in Pharmaceutical Development of Biotechnology-Derived Medicinal Products: Implementation and Evaluation." Bulletin of the Scientific Centre for Expert Evaluation of Medicinal Products. Regulatory Research and Medicine Evaluation, September 19, 2023. http://dx.doi.org/10.30895/1991-2919-2023-549.

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Scientific relevance. One of the challenges associated with the development of medicines lies in creating a quality management system (QMS) and tools to assess its performance.Aim. The study aimed to propose a QMS model for the development of biotechnology-derived medicinal products and a performance evaluation tool for this QMS universally applicable in the research centre of the company regardless of the specific activities of its individual divisions.Materials and methods. The study analysed internal audit outcomes, non-compliance responses, and the document flow of the research centre. Par

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Paraskumar, Patel. "Advanced Data Visualization Techniques in Power BI Enhanced by Power Apps." March 31, 2022. https://doi.org/10.5281/zenodo.11077864.

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This paper investigates the integration of Power BI and Power Apps as a solution to Power BI's limitation of only allowing 20 bookmarks per user, which restricts analytical depth and collaborative potential. Power BI, a leading tool in business analytics, enables the creation of dynamic reports and dashboards crucial for decision-making across various industries. Despite its strengths, the bookmark limitation hampers users' ability to perform comprehensive analyses due to the restriction on saving customized views of reports. Our proposed solution leverages Power Apps to extend Power BI's capa

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Ovchinnikov, DA, IV Potapov, DI Kurapeev, VV Vashenkov, and AO Konradi. "Digitalizing quality of care control: a Business Intelligence system for COVID-19 inpatients." European Journal of Public Health 31, Supplement_3 (2021). http://dx.doi.org/10.1093/eurpub/ckab164.504.

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Abstract Issue As healthcare systems faced the challenge of the COVID-19, the need for fast and automated quality of care control has grown tremendously. Automatization is widely implemented in the form of Clinical Decision Support Systems (CDS), however, developing such software can take several years of trained IT specialists' work. Description of the problem We opted for an analytics and clinical decision support (ACDS) system based on Business Intelligence (BI) software, since it would allow to monitor the necessary clinical data, it was easy to adapt to current tasks and didn't require an

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Govinda, Rao Banothu, and De Castro Fialho Fabio. "Modernizing Data Integration: SAP Datasphere's Integration with Data Visualization Tools Versus Traditional Data Warehouse Architectures." November 19, 2024. https://doi.org/10.5281/zenodo.14553880.

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In today’s rapidly evolving digital landscape, the demand for agile, real-time analytics has drivenorganizations to reassess traditional data warehouse architectures. While these systems have been longessential for providing structured, historical data for business intelligence, they often struggle to meet theneeds of modern, decentralized, and real-time decision-making. SAP Datasphere, a cloud-native dataintegration platform, addresses these challenges by offering flexible, scalable solutions that align with thedemands of contemporary businesses. This paper presents a comprehensive comp

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Addend, Analytics. "Optimizing Microsoft Fabric: A Guide to Pricing, Licensing, and AI-Driven Efficiency." April 25, 2025. https://doi.org/10.5281/zenodo.15280868.

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  Microsoft Fabric has revolutionized data analytics by unifying engineering, warehousing, and business intelligence into a single platform. However, navigating its Microsoft Fabric pricing, managing Microsoft Fabric cost, understanding Microsoft Fabric license requirements, and leveraging Microsoft Fabric Copilot effectively requires expertise. Certified consultants like Addend Analytics, with 250+ successful Fabric deployments, simplify this journey, ensuring businesses maximize ROI while avoiding budget pitfalls.  Breaking Down Microsoft Fabric Pricing  Microsoft Fabric&

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