Relevant bibliographies by topics / Real-time financial insights

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Academic literature on the topic 'Real-time financial insights'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Real-time financial insights"

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Ajala, A.M, Ajala, A. M., Omotoso L.T, and Rotipin M.M. "Effect of Real-Time Financial Insights from Cloud Accounting on Managerial DecisionMaking in Organizations." International Journal of Advances in Engineering and Management 7, no. 2 (2025): 360–67. https://doi.org/10.35629/5252-0702360367.

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This paper examine the effect of real-time financial insight from cloud-based accounting on management decision making system of organisations. The ability of cloud accounting to provide real-time financial insights allows managers to make informed decisions quickly. This advantage improves cash flow management and capital allocation, leading to better financial performance. Respondent demographics indicate a majority of female participants (57.1%) and those aged 31– 44 years (52.6%). Educational qualifications showed 51.8% held a B.Sc, with MBA/M.Sc holders at 36.8%. The findings reveal that
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Singh, Manish, Qingyang Xu, Sarah J. Wang, Tinah Hong, Mohammad M. Ghassemi, and Andrew W. Lo. "Real-time extended psychophysiological analysis of financial risk processing." PLOS ONE 17, no. 7 (2022): e0269752. http://dx.doi.org/10.1371/journal.pone.0269752.

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We study the relationships between the real-time psychophysiological activity of professional traders, their financial transactions, and market fluctuations. We collected multiple physiological signals such as heart rate, blood volume pulse, and electrodermal activity of 55 traders at a leading global financial institution during their normal working hours over a five-day period. Using their physiological measurements, we implemented a novel metric of trader’s “psychophysiological activation” to capture affect such as excitement, stress and irritation. We find statistically significant relatio
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Celestin, M., S. Mishra, and A. K. Mishra. "Real-Time Financial Reporting in the Digital Age: How Companies Are Adapting to the Growing Demand for Instantaneous Financial Insights." Insight Journal of National Open College 2, no. 1 (2025): 96–117. https://doi.org/10.5281/zenodo.15366124.

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The digital transformation of financial reporting has led to the increasing adoption of real-time financial reporting (RTFR), driven by advancements in artificial intelligence (AI), blockchain, and cloud computing. This study examines how companies are adapting to the demand for real-time financial insights, with a focus on technological advancements, challenges, and financial implications. Using a mixed-methods approach, data were collected from financial reports, regulatory filings, and expert interviews from 2020 to 2024. Empirical findings reveal a strong positive correlation (r = 0.9878)
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Chundi, Venkata Ramachandra Karthik. "AI-Enhanced Financial Management: Real-Time Monitoring and Human-AI Collaboration in Modern ERP Systems." European Journal of Computer Science and Information Technology 13, no. 43 (2025): 83–92. https://doi.org/10.37745/ejcsit.2013/vol13n438392.

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In the fast-paced business world, real-time financial monitoring and decision support are crucial to maintaining competitiveness. Traditional financial systems struggle to provide timely insights, often relying on batch processing or historical data, leading to delayed reactions and missed opportunities. Modern cloud-based ERP systems with advanced AI capabilities offer solutions by delivering real-time financial analytics. This integration empowers financial leaders to continuously monitor financial health, detect anomalies, and make decisions quickly. AI technologies excel at pattern recogni
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Kumar, Sudhir. "Real-Time Data Streaming: Transforming FinTech Through Modern Data Architectures." European Journal of Computer Science and Information Technology 13, no. 18 (2025): 49–64. https://doi.org/10.37745/ejcsit.2013/vol13n184964.

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This comprehensive article explores the transformative impact of real-time data streaming technologies in the financial services sector through four detailed case studies. It examines how leading financial institutions have leveraged modern data architectures, including Apache Kafka, Spark Streaming, AWS Kinesis, and cloud computing platforms, to address critical business challenges. The article demonstrates how these technologies enable instantaneous fraud detection, enhanced customer experience through personalized offerings, streamlined regulatory reporting, and optimized customer acquisiti
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Dr., Mrs. Swapna Bhavsar, Bajare Arjun, Jadhav Vaidehi, Marathe Gaurav, and Nikam Aishwarya. "A Survey on Real-Time Market Dynamics Through Visual Dashboards." International Journal of Engineering and Management Research 14, no. 1 (2024): 52–57. https://doi.org/10.5281/zenodo.10656991.

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This paper presents a web-based dashboard for real-time data visualization, primarily focusing on financial markets and cryptocurrencies. Data visualization serves as an effective means to convey intricate data clearly and concisely. Utilizing React for the front end, Flask for the backend API, and incorporating data visualization libraries such as Chart.js, our dashboard offers dynamic and interactive data representations. Comprehensive overview of dashboard design, architecture, and functionality, highlighting its importance in monitoring and analyzing financial information in real-time. Fur
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Ahuja, Dharmendra. "Platform Engineering for Financial Services: Enabling Real-Time Transaction Processing." European Journal of Computer Science and Information Technology 13, no. 9 (2025): 81–91. https://doi.org/10.37745/ejcsit.2013/vol13n98191.

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This article examines key emerging technologies transforming financial platform engineering. Platform engineering plays a pivotal role in building these systems by leveraging microservices architecture, event-driven systems, and cloud-native technologies. This article explores how modern platform engineering practices ensure low latency, high throughput, security, and regulatory compliance while integrating cutting-edge technologies like machine learning and blockchain. Machine learning has revolutionized fraud detection by enabling the analysis of vast transactional datasets to identify patte
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Sai Venkata Kondapalli. "Real-time analytics with cloud-native database technologies." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 3689–99. https://doi.org/10.30574/wjarr.2025.26.1.1503.

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Cloud-native database technologies are revolutionizing real time analytics capabilities across industries by enabling enterprises to extract actionable insights from massive datasets with minimal latency. This article explores the evolution of these technologies through their core technical components: columnar storage optimization, in-memory processing, and streaming data capabilities. Further the article examines architectural patterns, including Lambda, Kappa, and HTAP approaches that support sub-second query responses at scale. The business value of real-time analytics is demonstrated thro
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Mula, Krishna. "Real-Time Revolution: The Evolution of Financial Transaction Processing Systems." European Journal of Computer Science and Information Technology 13, no. 10 (2025): 86–100. https://doi.org/10.37745/ejcsit.2013/vol13n1086100.

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This article examines the transformative evolution of transaction processing systems from traditional batch processing to real-time payment mechanisms. The historical progression and architectural distinctions between these paradigms while analyzing the critical transition factors that facilitated this evolution. The discussion encompasses the enabling technologies—including API-driven banking, distributed ledger solutions, and cloud computing infrastructure—that have revolutionized payment processing capabilities. Through the demonstration of current implementation cases across peer-to-peer t
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Hussain, Jawad, and Badaruddin Kalhoro. "Navigating Financial Complexity: Language Processing Insights for Modern Businesses." SciWaveBulletin 01, no. 04 (2023): 24–31. http://dx.doi.org/10.61925/swb.2023.1404.

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Complex financial markets generate massive volumes of unstructured text data from news, publications, social media, and analyst comments. NLP can assist investors and traders make real-time judgments using this data. Analysis of markets This article reviews NLP advancements in three main areas. Generally favorable, negative, or neutral opinions toward companies, industries, or markets. Conversational tone predicts market and investor confidence using machine learning and sentiment lexicons. Finance conversation topic discovery. NLP algorithms may find hidden patterns and investment possibiliti
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Books on the topic "Real-time financial insights"

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Rönkkö, Risto, Stuart Rutherford, and Kunal Sen. The impact of the COVID-19 pandemic on the poor: Insights from the Hrishipara diaries. 46th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/984-6.

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In this paper, we examine the economic impact of the COVID-19 pandemic on the livelihoods of the poor. We use an unusually rich data set from a ‘financial diaries’ study known as the Hrishipara Daily Diaries Project. The data set tracks the economic and financial transactions of 60 individuals and their families in a semi-rural setting in Bangladesh on a real-time basis from October 2019 to September 2020. We document individual diarists’ behavioural responses to COVID-19, which reveal the varied experiences of the poor during the pandemic. We find that the pandemic and associated government l
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Foundations of Financial Management Text + Educational Version of Market Insight + Time Value of Money Insert (Mcgraw-Hill/Irwin Series in Finance, Insurance, and Real Estate). McGraw-Hill/Irwin, 2006.

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Hirt, Geoffrey A., and Stanley B. Block. Foundations of Financial Management Text + Educational Version of Market Insight + Time Value of Money Insert (Mcgraw-Hill/Irwin Series in Finance, Insurance, and Real Estate). McGraw-Hill/Irwin, 2006.

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Lauer, Chris. Breaking Free. Greenwood Publishing Group, Inc., 2009. http://dx.doi.org/10.5040/9798400621215.

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Breaking Free is about making the transition from working for the man to working for yourself by starting your own business or freelancing. By focusing on the personal experiences, ideas, and actions of a variety of self-employed people—including freelance writers, contractors, service providers, store owners and franchisees, sales reps, and others—this book offers readers deep insights into the ideas and decisions required to make self-employment a reality. Along the way, author and self-employed professional Chris Lauer offers a wealth of practical small-business insights and tips. Breaking
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Book chapters on the topic "Real-time financial insights"

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Soeters, Joseph. "Economics, Logistics, and (Human Resources) Management in Military Sciences." In Handbook of Military Sciences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-02866-4_67-1.

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AbstractThis chapters aims to introduce the section on economics, logistics, and (human resources) management in military sciences. The military is best known for its successes, or the lack thereof, on the battlefield. In this context, topics such as tactics, military leadership, and command and emotions like courage and persistence are often studied. Less well familiar is the idea that military success and defeat are highly dependent on the way the military organization has been structured, prepared, trained, and equipped before the real action starts. Similarly, it is underestimated how much
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Soeters, Joseph. "Economics, Logistics, and (Human Resources) Management in Military Sciences." In Handbook of Military Sciences. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-02866-4_67-2.

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AbstractThis chapters aims to introduce the section on economics, logistics, and (human resources) management in military sciences. The military is best known for its successes, or the lack thereof, on the battlefield. In this context, topics such as tactics, military leadership, and command and emotions like courage and persistence are often studied. Less well familiar is the idea that military success and defeat are highly dependent on the way the military organization has been structured, prepared, trained, and equipped before the real action starts. Similarly, it is underestimated how much
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Deshingkar, Priya, and Doudou Dièye Gueye. "It’s a Journey That Only God Knows: Understanding Irregular Migration in Senegal Through a Religious Lens." In IMISCOE Research Series. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97322-3_3.

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AbstractThe authors use the lens of religion to understand how migrants from Senegal embarking on high-risk journeys across the Sahara and the Atlantic conceptualise migration, cope with hardship and give meaning to their experiences. The paper aims to provide insights into religious belief systems and their intersection with the process of irregular migration and human smuggling from the impoverished Kolda region of Senegal. The research adds to the scant literature on how migrants draw on their spiritual beliefs in preparing for and enduring harrowing journeys with a high risk of harm and de
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Swadia, Bhavik U., J. Anand, K. L. Meera, Azeem Ahmad Khan, Sarfaraz Javed, and Manesh R. Palav. "AI-Based Real-Time Financial Risk Management." In Advances in Computational Intelligence and Robotics. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-7367-5.ch006.

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Conventional methods of risk management frequently prove insufficient due to the unpredictable behaviour of the market and the perpetually increasing intricacy of financial products. This investigation concentrates on the application of artificial intelligence in real-time financial risk management, with a particular emphasis on big data analytics, natural language processing, and machine learning. AI systems are capable of efficiently analysing vast quantities of structured and unstructured data in order to anticipate market trends, identify emergent threats, and provide valuable insights. In
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Pasupuleti, Murali Krishna. "Chapter 10:Digital Analytics: A Real-Time Compass for Consumer Insights." In Consumer Decode: Unveiling the Power of Marketing Research and Digital Analytics in the Digital Age. National Education Services, 2024. http://dx.doi.org/10.62311/nesrpisbn9788196916374.

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Chapter 10, "Digital Analytics: A Real-Time Compass for Consumer Insights," delves into the fusion of marketing research and digital analytics as a formidable approach to decoding consumer behavior in the digital economy. It highlights the evolution of marketing strategies bolstered by digital-only banks and neobanks, blockchain technology, open banking, banking as a service (BaaS), and the integration of AI and machine learning in financial services, offering insights into consumer preferences and enhancing customer engagement. This chapter also explores the significant role of fintech innova
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Sahoo, Ashok Kumar, S. Gautami, B. Venugopa, Vinod N. Alone, Pranjali Sharma, and Ajay Bahadur. "Improved Financial Trading." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-5122-3.ch006.

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Brain-Computer Interface (BCI) technology has the potential to revolutionize the decision-making processes and interactions of traders with markets when it is integrated into financial trading platforms. BCI technology allows traders to directly interact with financial software using brain impulses, thereby eliminating the necessity for traditional input devices. This is made possible by real-time neural feedback. By disclosing cognitive insights into trader behavior, emotions, and risk tolerance, this technique improves the speed and accuracy of decision-making. The implementation of adaptive
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Sarkar, Prithu, E. Gnanaprasuna, Srinivasa Rao Dokku Dokku, et al. "Interface Technology." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-5122-3.ch007.

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The integration of Brain-Computer Interface (BCI) technology into financial decision-making processes is a transformative approach that improves the precision and efficacy of real-time financial strategies. BCI technology is capable of facilitating enhanced and expedited assessments by directly interpreting brain impulses and providing substantial insights into cognitive patterns. This optimisation is achieved by monitoring mental and emotional processes in real time, which leads to a more comprehensive comprehension of financial preferences, decision fatigue, and risk tolerance. This article
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Kummari, Dwaraka Nath. "Driving audit efficiency through real-time data collection and artificial intelligence-powered insights." In Advanced Practices in Auditing, Regulatory Compliance, and Smart Manufacturing Systems. Deep Science Publishing, 2025. https://doi.org/10.70593/978-93-7185-253-1_7.

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Conducting an external audit can be a long, uncertain, and costly process for an organization of any size. Traditional audit methods are slow to contend with a key factor in the process—the pace of business, and are hampered by limitations in the availability of data. Both the timing and type of data used in the audits define the potential findings impacting the financial statements. For example, relying solely on sampling methodologies for the presence or absence of account anomalies can result in material misstatement that goes undetected in the final report. Technology-enabled solutions for
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Pavunraj, D., K. Anbumaheshwari, Durga Devi G, M. Sangavi, and A. Mathankumar. "AI in Financial Risk Management." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-1200-2.ch001.

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Artificial Intelligence (AI) is revolutionizing financial risk management by enabling organizations to make data-driven decisions with increased accuracy and efficiency. Through advanced machine learning algorithms, AI systems analyze vast datasets to identify patterns, detect anomalies, and predict potential risks in real time. These capabilities enhance credit risk evaluation, fraud detection, market risk analysis, and operational risk management. By automating repetitive tasks and providing predictive insights, AI reduces human error and improves decision-making processes. Additionally, nat
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Shalini, R., and R. K. Vaithiyanathan. "Real-Time Augmented Analytics For Enhancing Customer Experience In BFSI." In Business Analytics and Intelligence: Driving Strategy with Data. QTanalytics India, 2025. https://doi.org/10.48001/978-81-980647-7-6-1.

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Due to the swift digitization across India’s dynamic financial ecosystem, there is a soaring need for innovative solutions that uphold quality in the delivery of customer experience while also upholding stringent operations and compliance. In this paper, a new end-to-end model, REACT Framework (Realtime Enhanced Analytics for Customer Trust), is introduced to preserve customer privacy and generate actionable insights from the augmented analytics, artificial intelligence, machine learning, and federated learning, all with a new comprehensive study. Using a strong dataset of 1.2 million customer
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Conference papers on the topic "Real-time financial insights"

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Khalifa, Ahmed A., Ramesh G, Deekshith R, Harsha K, and Shreyas J. "Forecasting Financial Frontiers: Real-time Insights in Stock Price Prediction through LSTM, Linear Regression, and Sentiment Analysis." In 2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2024. http://dx.doi.org/10.1109/hora61326.2024.10550829.

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Gamal, Hany, Said Albahri, Hassan Essa, Mayank Srivastava, Noor Alghamdi, and Wahid Shaikh. "Driving Operational Excellence: Cost Savings and Performance Optimization Through Tripping and Connection Time Optimization." In International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-24305-ms.

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Abstract Achieving operational excellence in the drilling industry is crucial for cost savings and improved efficiency. This abstract highlights the significance of tripping and connection time optimization through a real-time data analytics approach and proactive strategy to drive operational excellence, resulting in substantial cost savings and increased efficiency. Tripping and connection time, which involve the processes of pulling out and running in the hole with drill strings during drilling operations, contribute significantly to the overall drilling time and operational costs. By optim
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Ungureanu, Viorica. "Methodological aspects of the optimization of the accounting model of the entities under the conditions of the venture activity." In International Scientific Conference "Modern Paradigms in the Development of the National and World Economy", 17th Edition. Moldova State University, 2025. https://doi.org/10.59295/mpdnwe2024.41.

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Purpose of the article: This study aims to explore the methodological aspects of optimizing the accounting model for entities engaged in venture activities, focusing on improving financial transparency and decision-making. Methodology: The research employs a mixed-method approach, combining qualitative analysis of current accounting practices with quantitative data to identify key performance indicators. Case studies of successful venture entities are analyzed to evaluate the effectiveness of various accounting models. Conclusions: The findings indicate that a tailored accounting model enhance
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Koumpan, Elizabeth, Ram Ravishankar, and Periasamy Girirajan. "On Demand Loans Real Time Service: Essential User Feature by the Banks in Society 5." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002254.

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Investing for a Sustainable Future is driving major client buying behaviors and long-term corporate strategies. We are currently at the transition between the 3rd Industrial Revolution (the computer / Internet based information industry), and the 4th Industrial Revolution (driven by digital transformation, AI, IoT, Blockchain), emerging into the 5th Industrial Revolution. This transition drives an unprecedented connection of business to purpose, democratizing technology for consumers with ease of use and integration of cyberspace with physical space In addition, Covid-19 has acted as a catalys
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Landolsi, Hamza, and Ines Abdeljaoued-Tej. "From Rigid Robo-Advisors to Human-Like Interactions: Revolutionizing Financial Assistance with LLM-Powered Solutions." In 6th International Conference on Natural Language Processing, Information Retrieval and AI. Academy & Industry Research Collaboration Center, 2025. https://doi.org/10.5121/csit.2024.150212.

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Generative Artificial Intelligence (GenAI) is revolutionizing the business world by increasing availability, efficiency, cost reduction, and innovation. This paper explores the application of Large Language Models (LLMs) and GenAI to finance. It proposes a novel framework on how we can imagine robo-advisory systems, from a traditional rigid platform to a more humanized solution that further engages the investor in a hand-picking asset selection process and better understands their goals and profile using LLMs. We designed an end-to-end solution to overcome many limitations such as lack of flex
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Sharma, Sunil, Julien Converset, and Florian Le Blay. "A Data-Driven Agile Approach for Faster Response to Lost Circulation." In Mediterranean Offshore Conference. SPE, 2024. http://dx.doi.org/10.2118/223250-ms.

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Abstract In this paper we introduce a data-driven agile method specifically designed, implemented, and validated to yield actionable insights for more efficient and accurate responses to lost circulation events. Lost circulation is a significant challenge in drilling operations, leading to non-productive time and financial losses. It is also frequently observed that despite similar field conditions, the success rates of various solutions vary widely due to a lack of insights about the loss zone during planning and execution. Traditionally, response plans and decision trees are not dynamic and
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Hoffman, Mike, and Brian Russo. "Comparing Utility Connected to Stand Alone Micro-Grids: From the Viewpoint of a Utility Engineer." In ASME 2011 5th International Conference on Energy Sustainability. ASMEDC, 2011. http://dx.doi.org/10.1115/es2011-54833.

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This paper presents project examples of grid and grid-isolated micro-grids. It discusses micro-grid drivers; economic, environmental, and financial issues; and tools to plan and design micro-grids. Tools covered include modeling software resource options, generation types, fuel options, and services to provide smooth transitions (including required equipment and software controls), ranging from those of minimal expense to maximum functionality. The need for, and construction of, real-time operational interfaces is also addressed, with a focus on real world complications and guidance regarding
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Chhipa, Muhammad Ibrahim, Hassan Berry, Fahad Chauhan, Abdul Muqsit Abbasi, and Eman Ahmed. "Revolutionizing Utility Meter Reading Indeveloping Economies: A Computer Vision Powered Solution - A Case Study of Pakistan." In 11th International Conference on Computer Science, Engineering and Information Technology. Academy & Industry Research Collaboration Center, 2024. http://dx.doi.org/10.5121/csit.2024.141414.

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This research paper explores the modernization of meter reading processes in third-world countries, with a specific focus on Pakistan. Traditional manual meter reading practices in these regions are labour-intensive, error-prone, and time-consuming, leading to suboptimal utility management and financial losses. To address these challenges, our study introduces a digitalized meter reading system enhanced by computer vision and machine learning technologies. This system automates data collection, enables real-time monitoring, and employs data analytics to enhance accuracy and efficiency. By redu
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le Poole, Joan, Austin Kana, Hans Hopman, and Etienne Duchateau. "On-The-Fly Design Rationale to Support Real-Time Collaborative Naval Ship Layout Design." In SNAME 14th International Marine Design Conference. SNAME, 2022. http://dx.doi.org/10.5957/imdc-2022-233.

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Over the past decades, ship design has seen an increased digitalization and the use of more powerful computers to assist in design tasks, such as concept design generation or analysis. Also, the application of concurrent engineering or concurrent design processes shows an attention for ship design as a field of multi-actor decision-making. Contrary to traditional `over-the-wall’ approaches, such concurrent, or collaborative, design processes are applied to involve all relevant stakeholders and design disciplines in the decision-making. The aim is to be better able to integrate disparate knowle
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Adnan Raouf, Raad, and Omar Ali Ismael. "Quality 4.0 and Big Data Marketing: A Systematic Literature Review." In The 5th International Scientific Conference on Administrative and Financial Sciences (CIC-ISCAFS'2025). Cihan University-Erbil, 2025. https://doi.org/10.24086/icafs2025/paper.1762.

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Abstract— This paper explores the logical relationships between two new concepts, Quality 4.0 and Big Data-driven Marketing. The review of literature provides a view of the theoretical underpinning and implementation of Quality 4.0 and big data-driven marketing. Research questions will concentrate on the dependency relationship between Quality 4.0 and big data marketing and the problems faced in carrying them out jointly. Quality 4.0 integration and big data marketing bring encouraging relationships, e.g., using predictive analytics for enhancing quality and personalizing the customers’ experi
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Reports on the topic "Real-time financial insights"

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Lunn, Pete, Marek Bohacek, Jason Somerville, Áine Ní Choisdealbha, and Féidhlim McGowan. PRICE Lab: An Investigation of Consumers’ Capabilities with Complex Products. ESRI, 2016. https://doi.org/10.26504/bkmnext306.

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Executive Summary This report describes a series of experiments carried out by PRICE Lab, a research programme at the Economic and Social Research Institute (ESRI) jointly funded by the Central Bank of Ireland, the Commission for Energy Regulation, the Competition and Consumer Protection Commission and the Commission for Communications Regulation. The experiments were conducted with samples of Irish consumers aged 18-70 years and were designed to answer the following general research question: At what point do products become too complex for consumers to choose accurately between the good ones
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