Relevant bibliographies by topics / Data-driven insights

Contents

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

Academic literature on the topic 'Data-driven insights'

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

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Journal articles on the topic "Data-driven insights"

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Babu Basanaboyina, Suresh. "Data-Driven AI: The Future of Business through Data-Driven Insights." International Journal of Science and Research (IJSR) 14, no. 4 (2025): 772–75. https://doi.org/10.21275/sr25404224429.

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Darshini, T. Divya, and S. Kalaiselvi. "Data-Driven Dynamic Fashion Market Insights Using Data Analytics." International Journal of Research Publication and Reviews 5, no. 3 (2024): 4748–57. http://dx.doi.org/10.55248/gengpi.5.0324.0808.

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Singh, Arjun. "The HR Data Landscape: Transforming HR with Data-Driven Insights." Engineering and Applied Sciences Journal 2, no. 1 (2025): 01–02. https://doi.org/10.64030/3067-8005.02.01.06.

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In today’s rapidly evolving corporate world, the role of data in shaping HR practices and decisions cannot be overstated. Human Resources (HR) departments in large corporations are increasingly relying on data-driven approaches to drive their strategies, improve existing processes, and motivate employees to succeed in their roles. Tracking HR data allows organizations to gain valuable insights into employee feedback, performance, and engagement, ultimately leading to a healthier and more productive workplace.
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Haland, Christoffer, and Anders Granmo. "Machine Learning for Anomaly Detection: Insights into Data-Driven Applications." International journal of data science and machine learning 05, no. 01 (2025): 36–41. https://doi.org/10.55640/ijdsml-05-01-07.

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Anomaly detection plays a pivotal role in data-driven machine learning applications, enabling the identification of rare or unexpected patterns that deviate from the norm. These anomalies, which can indicate critical events such as fraud, security breaches, equipment failures, or medical conditions, are invaluable in a variety of fields. This paper provides an in-depth review of anomaly analytics, focusing on the various techniques used in machine learning to detect anomalies in complex, high-dimensional data. We explore statistical methods, machine learning-based approaches, and hybrid models
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Xing, Junjie, Xinyu Wang, and H. V. Jagadish. "Data-Driven Insight Synthesis for Multi-Dimensional Data." Proceedings of the VLDB Endowment 17, no. 5 (2024): 1007–19. http://dx.doi.org/10.14778/3641204.3641211.

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Exploratory data analysis can uncover interesting data insights from data. Current methods utilize "interestingness measures" designed based on system designers' perspectives, thus inherently restricting the insights to their defined scope. These systems, consequently, may not adequately represent a broader range of user interests. Furthermore, most existing approaches that formulate "interestingness measure" are rule-based, which makes them inevitably brittle and often requires holistic re-design when new user needs are discovered. This paper presents a data-driven technique for deriving an "
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Kandi, Anudeep, and Maria Anurag Reddy Basani. "Real-time Analytics on AWS and Google Cloud to Unlock Data Driven Insights." International Journal of Science and Research (IJSR) 13, no. 11 (2024): 302–8. http://dx.doi.org/10.21275/sr241105211600.

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Selvaraj, Sivachandran. "Utilizing Artificial Intelligence for Patient Risk Predictions: Empowering Doctors with Data - Driven Insights." International Journal of Science and Research (IJSR) 13, no. 7 (2024): 371–76. http://dx.doi.org/10.21275/sr24707023233.

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Nweke, Obinna. "Utilizing AI Driven Forecasting, Optimization, and Data Insights to Strengthen Corporate Strategic Planning." International Journal of Research Publication and Reviews 6, no. 3 (2025): 4260–72. https://doi.org/10.55248/gengpi.6.0325.1209.

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Goel, Krupa. "Data-Driven Insights to Enhance and Optimize Sales Compensation Programs in Real Estate." American Journal of Engineering and Technology 07, no. 04 (2025): 75–96. https://doi.org/10.37547/tajet/volume07issue04-12.

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Sales compensation in the real estate sector is the most important factor in determining an agent’s performance and retention. Fixed salaries, straight commissions, and split commissions, along with other conventional compensation models, struggle to keep up with market changes, agent performance, and consumer preferences. Based on this, this paper studies how modern analytics techniques, such as predictive modeling and agent segmentation, can improve and optimize real estate sales compensation programs. These techniques also provide brokerages with ways to customize compensation plans, reward
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Selz, Dorian. "From electronic markets to data driven insights." Electronic Markets 30, no. 1 (2020): 57–59. http://dx.doi.org/10.1007/s12525-019-00393-4.

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Dissertations / Theses on the topic "Data-driven insights"

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Carlsson, Ståbi Jenny. "Data driven marketing : How to gain relevant insights through Google Analytics." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254988.

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In this report, problems regarding the retrieving, measuring, and analysis of data when analysing marketing effects in the web analytics tool Google Analytics will be discussed. A correct setup, configuration, maintenance, campaign tracking and the understanding of the data in Google Analytics is essential to be able to achieve relevant insights. This is important since many Swedish marketing departments experience issues related to their setup of Google Analytics as well as the ongoing configuration and maintenance. A literature study has been conducted to gather information, focusing on coll
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Shao, Lun. "A Unified Surrogate Framework for Data-Driven Reliability Insights in Mechanical Systems." Electronic Thesis or Diss., Ecully, Ecole centrale de Lyon, 2025. http://www.theses.fr/2025ECDL0009.

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Les structures d'ingénierie modernes, des systèmes simples à un seul degré de liberté (SDOF) aux configurations complexes continues ou à plusieurs degrés de liberté (MDOF) et enfin aux systèmes continus, sont confrontées à des incertitudes dimensionnelles élevées en raison des charges variables, des propriétés des matériaux et des conditions environnementales. Les approches traditionnelles, telles que la simulation de Monte Carlo, peuvent devenir extrêmement coûteuses lors de la simulation d'un grand espace de paramètres ou de la modélisation d'un comportement structurel complexe. Dans ce trav
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Velichety, Srikar, and Srikar Velichety. "Essays on Data Driven Insights from Crowd Sourcing, Social Media and Social Networks." Diss., The University of Arizona, 2016. http://hdl.handle.net/10150/620677.

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The beginning of this decade has seen a phenomenal raise in the amount of data generated in the world. While this increase provides us with opportunities to understand various aspects of human behavior and mechanisms behind new phenomena, the technologies, statistical techniques and theories required to gain an in depth and comprehensive understanding haven't progressed at an equal pace. As little as 5 years back, we used to deal with problems where there is insufficient prior social science or economic theory and the interest is only in prediction of the outcome or where there is an appropri
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STRÖMBERG, HANNA. "Data driven customer insights in the B2B sales process at high technology scaleups." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296246.

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When scaling a company it is important to implement customer insights to achieve growth of revenue. Understanding and defining a suitable B2B sales process has also been shown to play an important part in enhancing sales, and traditional processes include multiple steps performed by sales representatives. One step revolves around the presentation of the offered product or service. For sales representatives to present a product or service successfully they must acquire or have deep knowledge of the customer, such as their industry trends and general business. This can be achieved by acquiring c
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VERGERIO, GIULIA. "Data-driven building performance evaluation at different scales. Innovative metrics and methodological insights." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973092.

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Grönlund, Sophie, and Tommy Schytt. "The use of data in social media marketing : An explorative study of data insights in social media marketing." Thesis, Umeå universitet, Företagsekonomi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-139211.

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The marketing possibilities on the Internet is growing and so are social media marketing. The budget devoted for marketing activities on social media is constantly increasining every year and the time users are spending on social media is also increasing. Among the increasing activities comes a vast amount of data which create endless of opportunities for companies to optimize their marketing activities. In marketing the most important has always been to know your customers and how to reach out to them. The Internet and data that comes with it has made it possible for companies to get to know
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Forsberg, Lovisa. "From static reports to interactive visualizations : Increasing user engagement and enabling exploratory analysis by visualizing data-driven insights." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299564.

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By adding interaction to information visualization, it is possible to fully exploit the opportunities of visualizing data. Interactivity gives room for exploratory analysis and will increase user engagement. This thesis was set out to find opportunities and challenges to increase user engagement and exploratory analysis by transforming a static insights report into an interactive visualization tool. The tool was built as a proof of concept and evaluated using think aloud observations and semi structured interviews. Opportunities that were found was that the tool allowed transparency which incr
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Günther, Matthias [Verfasser], and Thomas [Akademischer Betreuer] Höfer. "The role of co-receptor CD8 in ligand discrimination and T cell activation – insights from data-driven mathematical modeling / Matthias Günther ; Betreuer: Thomas Höfer." Heidelberg : Universitätsbibliothek Heidelberg, 2016. http://d-nb.info/1180738160/34.

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Kleman, Björn, and Henrik Lindgren. "Evaluation of model-based fault diagnosis combining physical insights and neural networks applied to an exhaust gas treatment system case study." Thesis, Linköpings universitet, Fordonssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176650.

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Fault diagnosis can be used to early detect faults in a technical system, which means that workshop service can be planned before a component is fully degraded. Fault diagnosis helps with avoiding downtime, accidents and can be used to reduce emissions for certain applications. Traditionally, however, diagnosis systems have been designed using ad hoc methods and a lot of system knowledge. Model-based diagnosis is a systematic way of designing diagnosis systems that is modular and offers high performance. A model-based diagnosis system can be designed by making use of mathematical models that a
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Peyne, Benjamin, and Ariane Chan. "Data-driven decision making in Marketing : A theoretical approach." Thesis, Högskolan i Halmstad, Akademin för ekonomi, teknik och naturvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-33545.

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Customer insight is at the heart of the big data era. This revolution makesit possible to directly obtain high potential data and in large quantitiesabout customers. Thus we take note that, more than ever, a large volumeof big data is collected by companies.We observe that big data have become a necessary tool within marketing.More and more companies orient their decisions according to theinformations provided by data, with the aim of quickly having betterresults.Nevertheless, in order to integrate these big data in a better way and gaina competitive advantage, companies must face new challeng
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Books on the topic "Data-driven insights"

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Kirk, Andy. Visualization Insights from Neil Richards’ Questions in Dataviz: A Data-Driven Process for Data Visualisation. SAGE Publications Ltd, 2024. http://dx.doi.org/10.4135/9781529684728.

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Kirk, Andy. Visualization Insights from Lora Oehlberg, Samuel Huron, Wesley Willett, and Till Nagel’s Making with Data: Physical Design and Craft in a Data-Driven World. SAGE Publications Ltd, 2024. http://dx.doi.org/10.4135/9781529684872.

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Gunzelmann, Hans Jonas. Organizing for Independence. Amsterdam University Press, 2024. https://doi.org/10.5117/9789048561094.

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Independence protests are on the rise across Europe, as Spain, the UK, and other states have faced severe secessionist challenges. The largest wave of these protests swept Catalonia and reached its peak in 2017 when the push for a binding referendum led to an unprecedented secessionist crisis. Organizing for Independence explores the question of how the referendum crisis as a threat and opportunity transformed secessionist protest and its organizational basis. Combining protest event data, qualitative interviews, and network analyses, Hans Jonas Gunzelmann shows how organizational change took
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Sakalle. Data-Driven Insights for Healthcare and Biotechnology. IGI Global, 2024.

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Bhardwaj, Aditi Sakalle, and Maneesha Sakalle. Data-Driven Insights for Healthcare and Biotechnology. IGI Global, 2024.

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Sakalle. Data-Driven Insights for Healthcare and Biotechnology. IGI Global, 2024.

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Sakalle. Data-Driven Insights for Healthcare and Biotechnology. IGI Global, 2024.

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Sakalle. Data-Driven Insights for Healthcare and Biotechnology. IGI Global, 2024.

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Boßow-Thies, Silvia, Christina Hofmann-Stölting, and Heike Jochims. Data-driven Marketing: Insights aus Wissenschaft und Praxis. Springer Gabler, 2020.

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Sarmah, Upamanyu. Data Driven Insights from Standard SAP Tables in MS Excel. Independently Published, 2019.

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Book chapters on the topic "Data-driven insights"

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Koshariya, Ashok Kumar, P. M. Rameshkumar, P. Balaji, Luigi Pio Leonardo Cavaliere, Venkata Harshavardhan Reddy Dornadula, and Barinderjit Singh. "Data-Driven Insights for Agricultural Management." In Robotics and Automation in Industry 4.0. CRC Press, 2023. http://dx.doi.org/10.1201/9781003317456-14.

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Meesad, Phayung, and Anirach Mingkhwan. "Data-Driven Library Management: From Data to Insights." In Studies in Big Data. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-69216-1_6.

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Wiske, Jana, and Thomas Horky. "Digital and data-driven sports journalism." In Insights on Reporting Sports in the Digital Age. Routledge, 2021. http://dx.doi.org/10.4324/9781003010944-4.

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Chakradhar, Bhogineni Sankha, Mugil Vijey, and Suraj Tunk. "Synthetic Data Generation for Marketing Insights." In Predictive Analytics and Generative AI for Data-Driven Marketing Strategies. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003472544-17.

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Shanmuganathan, Manchuna. "The IBS as a Catalyst: Data Driven Insights." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03402-3_21.

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Joyakin, Shobin, and Sudheer Chandu. "Mining Deeper Insights from Texts Using Unsupervised NLP." In Studies in Autonomic, Data-driven and Industrial Computing. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5689-8_11.

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Joshua, Eali Stephen Neal, B. Dinesh Reddy, and Rajib Ghosh. "Harnessing Deep Neural Networks for Human Disease Identification: Insights and Applications." In Data-Driven Decision Support System in Intelligent HealthCare. CRC Press, 2025. https://doi.org/10.1201/9781003507505-11.

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Švihrová, Radoslava, Davide Marzorati, Alvise Dei Rossi, Tiziano Gerosa, and Francesca Dalia Faraci. "Data-Driven Causal Discovery: Insights from a Longitudinal Study with Wearable Data." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-95841-0_75.

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Aldowah, Hanan, Irfan Naufal Umar, Samar Ghazal, and Amira Saif. "Exploring Instructors’ Practices: Data-Driven Evaluation and Insights via LMS." In Lecture Notes on Data Engineering and Communications Technologies. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59711-4_19.

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Latapie, Hugo, Mina Gabriel, Sidarth Srinivasan, Ramana Kompella, Kristinn R. Thórisson, and Pei Wang. "Automated Spatiotemporal Modeling for Real-Time Data-Driven Actionable Insights." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-47721-8_52.

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Conference papers on the topic "Data-driven insights"

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Kling, Nico, Chantal Kling, Kevin Reuther, and Christina Ungerer. "Data-Driven Insights into the Industrial Transformation Literature." In 2024 IEEE International Conference on Engineering, Technology, and Innovation (ICE/ITMC). IEEE, 2024. https://doi.org/10.1109/ice/itmc61926.2024.10794375.

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Santarpia, Andrea. "Data-Driven Insights for Induction Motor Condition Monitoring." In 2024 PCIC Energy Europe (PCIC Energy). IEEE, 2024. http://dx.doi.org/10.23919/pcicenergy62009.2024.10638162.

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Tu, Qiang, Sihao Choy, Zhenfeng Liu, Huaijun Li, Danyang Zhao, and Zhenchao Tao. "Causal Insights into Cervical Cancer: A Data-Driven Approach." In 2024 10th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2024. https://doi.org/10.1109/bigdia63733.2024.10808697.

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Kapoor, Ananya, Priyanka Suyal, Rakhi Bhardwaj, Kamal Kumar Gola, Mohit Kumar, and Aman Verma. "Improving Sleep Health Through Data-Driven Machine Learning Insights." In 2025 3rd International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC). IEEE, 2025. https://doi.org/10.1109/isacc65211.2025.10969184.

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Purwar, Mitali, Upasana Deka, Himadri Raj, and Ritu. "Data-Driven Insights: Leveraging Analytics for Predictive Modeling in Finance." In 2024 4th International Conference on Technological Advancements in Computational Sciences (ICTACS). IEEE, 2024. https://doi.org/10.1109/ictacs62700.2024.10841301.

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Alkadamani, Mohamad, Amir Ghasemi, and Halim Yanikomeroglu. "Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand." In 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall). IEEE, 2024. https://doi.org/10.1109/vtc2024-fall63153.2024.10757718.

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Mohamad, Farihan, Mohammad Hasbullah Mazlan, Mohd Khairun Nizam Mohd Sarmin, Ahmad Farid Jamil, and Adee Zhafri Ismail. "Data-Driven Insights for Enhancing Operational Visibility in Distribution Networks." In 2024 IEEE Sustainable Power and Energy Conference (iSPEC). IEEE, 2024. https://doi.org/10.1109/ispec59716.2024.10892446.

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Jindal, Mani, Ankush Goyal, Anugrah Srivastava, and Amit Kumar. "Data-Driven Insights on the Worldwide Billionaire Entrepreneurs Wealth Race." In 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit). IEEE, 2024. https://doi.org/10.1109/globalaisummit62156.2024.10947798.

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Brown, Colin, Humphrey Rutagemwa, and Mohamad Alkadamani. "Geospatial Insights in Spectrum Management: An Adaptive Data-Driven Licensing Approach." In 2024 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2024. http://dx.doi.org/10.1109/iccworkshops59551.2024.10615647.

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Babu, Tina, Ebin P M, and Rekha R. Nair. "Data-Driven Insights: Mall Customer Segmentation through Fuzzy C-Means Clustering." In 2024 International BIT Conference (BITCON). IEEE, 2024. https://doi.org/10.1109/bitcon63716.2024.10984994.

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Reports on the topic "Data-driven insights"

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Hendrick, Stephen. Data and Storage Trends 2022: Data and Storage Strategies in the Era of the Data-Driven Enterprise. The Linux Foundation, 2022. https://doi.org/10.70828/nshk4555.

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Enterprises today want real-time, consistent, connected, and trusted data to support their critical business operations and insights. Any delay in the availability of data can harm businesses. Ever-expanding data volumes, new governance requirements, data silos across clouds and on-premises, etc., can cause enterprises to slow down on their data strategy and create business challenges. Therefore, data storage and protection systems remain critical to managing IT infrastructure. In July 2022, the SODA Foundation, in partnership with Linux Foundation Research, launched a worldwide survey to unde
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Scartascini, Carlos, and Razvan Vlaicu. Research Insights: Are Young Latin American Voters Politically Engaged? Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003571.

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Data on political engagement of newly eligible young voters in 34 countries during 2004-2016 indicate that voting eligibility is associated with higher political engagement, casting doubt on the view that voters are rationally ignorant. Voting eligibility is associated with higher political interest, more discussion of political issues and attendance of political meetings, and more political knowledge. These effects are stronger in countries with enforced mandatory voting. The increase in political engagement is larger closer to the prior election, and it is driven by the engagement of eligibl
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Bergamaschi, Andrea, Cecilia Giambruno, and Paula Morales. Empowering Schools with Data: How Can We Achieve Effective Use of Educational Dashboards for Teachers and Principals? Inter-American Development Bank, 2025. https://doi.org/10.18235/0013561.

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Educational dashboards are key tools for enhancing data-driven decision-making in schools, providing teachers and principals with actionable insights. However, their adoption in Latin America and the Caribbean is hindered by challenges such as data quality issues, lack of interoperability in Education Information Management Systems (EMIS), and limited alignment with user needs. This document presents an analytical framework to address these barriers, combining a bottom-up approach that improves dashboards based on educators needs with a top-down strategy to strengthen their effective use. By o
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Matousek, Sarah Bliss, Amanda Gray, Dante Jester, and Brian G. Henning. Heat, Smoke, and Resilience in East Central Spokane: Community Insights on Climate Adaptation. Gonzaga University, Institute for Climate, Water, and the Environment, 2025. https://doi.org/10.33972/ccse.2025.02.

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: This report presents findings from a multi-methods research initiative exploring the impacts of climate-related hazards—specifically extreme heat and wildfire smoke—on residents of Spokane’s East Central neighborhood. The project combined a community survey with a World Café-style symposium to gather both quantitative data and lived experiences from local participants. Key themes that emerged include the need for more cooling infrastructure, accessible health education, improved indoor air quality, and stronger neighborhood-level communication and support networks. The report highlights how
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Cao, Shoufeng, Uwe Dulleck, Warwick Powell, Charles Turner-Morris, Valeri Natanelov, and Marcus Foth. BeefLedger blockchain-credentialed beef exports to China: Early consumer insights. Queensland University of Technology, 2020. http://dx.doi.org/10.5204/rep.eprints.200267.

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The BeefLedger Export Smart Contracts project is a collaborative research study between BeefLedger Ltd and QUT co-funded by the Food Agility CRC. This project exists to deliver economic value to those involved in the production, export and consumption of Australian beef to China through: (1) reduced information asymmetry; (2) streamlined compliance processes, and; (3) developing and accessing new data-driven value drivers, through the deployment of decentralised ledger technologies and associated governance systems. This report presents early insights from a survey deployed to Chinese consumer
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Filchenko, Dmytro, Jonathan Adams, and Ross Potter. Unlocking the efficiency of international research collaboration. Clarivate, 2025. https://doi.org/10.14322/isi.insights.efficient.research.collaboration.

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This paper introduces Collaboration-CNCI (Collab-CNCI)—a new suite of indicators within InCites, developed by the Institute for Scientific Information at Clarivate, to offer deeper, data-driven insights into the true impact of global research partnerships. It By leveraging Collab-CNCI, policymakers and research managers can gain a clearer, more transparent understanding of how collaboration influences research impact.
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Fariborzi, Hadi, and Piers Steel. Beyond ChatGPT: Agentic AI as 24/7 Research Assistants. Instats Inc., 2025. https://doi.org/10.61700/gzihjl4e74w841498.

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This advanced one-day workshop, presented by professors Piers Steel and Hadi Fariborzi, delves into the transformative power of agentic AI in academic research, equipping participants to automate data collection, analysis, and real-time dashboard updates. Through hands-on sessions, attendees will explore both qualitative and quantitative AI-driven methods, freeing them to focus on higher-level insights.
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Botero-Ramírez, Oscar, Andrés Murcia, and Mauricio Villamizar-Villegas. Foreign investment dynamics: The impact of benchmark-driven versus unconstrained investors on local credit conditions. Banco de la República, 2025. https://doi.org/10.32468/be.1309.

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We examine the impact of foreign investor heterogeneity on local lending, focusing on Colombia from 2014 to 2023. Distinguishing between benchmark-driven and unconstrained investors, we highlight their differing responses to global and idiosyncratic shocks. Using bond-level data and the corporate credit registry, we link banks’ exposure to foreign flows with firm-level lending decisions. By decomposing Colombia’s weight in the J.P. Morgan GBI-EM index into valuation and exogenous components, we identify how investor behavior shapes bank balance sheets. Our main findings show that banks with gr
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Lavadenz, Magaly, Elvira G. Armas, and Linda R. G. Kaminski. Brief Insights, March 2025: Expanding Educational Opportunity: Highlights from a Multilingual/English Learner-Focused Research, Practice, Policy Partnership. Center for Equity for English Learners, 2025. https://doi.org/10.15365/ceel.policy.17.

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The Center for Equity for English Learners (CEEL) at Loyola Marymount University collaborated with Camino Nuevo Charter Academy (CNCA) in a Research, Practice, Policy Partnership to investigate problems of practice and enhance literacy leaders’ focus on supporting classroom teachers to meet the needs of multilingual/English learners (ML/EL). The research question for this study focused on literacy leaders’ perceptions about how the revised Planning-Observation-Debrief (POD) cycle tools support teachers’ focus on scaffolding ML/ELs’ access to reading and writing complex text. Emerging findings
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10

bin Ahsan, Wahid. The EDIT UX Framework: A User-Centered Approach to Effective Product Redesign. Userhub, 2024. http://dx.doi.org/10.58947/zxkd-kldq.

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In the dynamic domain of web and mobile application development, the imperative to continuously evolve and enhance user experience is paramount. The EDIT UX Framework offers a robust, systematic approach to redesign, aimed at significantly enhancing user engagement, accessibility, and business performance. This framework is delineated into four pivotal stages: (1) Evaluation, which establishes a solid analytical foundation by synthesizing metrics analysis, heuristic evaluations, accessibility assessments, and user insights; (2) Design, where ideation and prototyping are driven by user-centric
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