Data-Driven decision making in agriculture and business: The role of advanced analytics

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(7), С. 1565 - 1575

Опубликована: Июль 7, 2024

Advanced analytics has revolutionized decision-making processes in agriculture and business by harnessing data-driven insights to optimize operations, manage risks, drive innovation. This paper explores the transformative role of advanced these sectors, highlighting key benefits, challenges, future directions. In agriculture, enables precision farming integrating AI, IoT sensors, satellite imagery. Predictive models forecast crop yields, irrigation, enhance soil management practices, improving productivity sustainability. Similarly, supports strategic analyzing consumer behavior, predicting market trends, optimizing supply chain operations. However, adopting faces challenges such as data quality, technical expertise, cost constraints, ethical considerations. Addressing requires investments infrastructure, talent development, regulatory compliance ensure secure usage. Emerging trends include AI-driven automation, blockchain for transparency, augmented democratizing access. Recommendations stakeholders investing capabilities, fostering collaborative partnerships, promoting a culture decision making. conclusion, offers profound opportunities efficiency, inform making, sustainable growth business. Embracing technologies is essential organizations seeking thrive economy. Keywords: Analytics, Precision Farming, Data-driven Decision Making, Business Intelligence.

Язык: Английский

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Strategic financial decision-making in sustainable energy investments: Leveraging big data for maximum impact

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(6), С. 1982 - 1996

Опубликована: Июнь 24, 2024

In the context of escalating environmental concerns and transition towards a greener economy, sustainable energy investments have emerged as pivotal area for financial growth innovation. This paper outlines strategic framework decision-making in investments, emphasizing transformative role big data. By integrating data analytics into investment process, stakeholders can enhance market analysis, risk assessment, performance monitoring, predictive modeling, leading to more informed effective strategies. The delves various sources, analytical tools, technologies that facilitate collection, processing, interpretation vast amounts information. Additionally, it presents case studies illustrating successful applications solar wind projects, highlighting best practices common challenges. discussion extends future trends, including advancements artificial intelligence machine learning, which are poised further revolutionize sector. concludes with recommendations developing data-driven approach, building robust infrastructures, fostering culture continuous learning adaptation. leveraging data, investors maximize impact their drive growth, contribute global transition. Keywords: Sustainable Energy Investments, Big Data Analytics, Strategic Financial Decision-Making, Market Analysis, Risk Assessment, Predictive Modeling.

Язык: Английский

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Driving energy transition through financial innovation: The critical role of Big Data and ESG metrics

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1434 - 1452

Опубликована: Июнь 14, 2024

Driving the transition to sustainable energy is a critical global imperative, and financial innovation plays pivotal role in accelerating this process. This paper examines intersection of innovation, big data, Environmental, Social, Governance (ESG) metrics advancing transition. By harnessing power data integrating ESG considerations into investment decisions, institutions can drive meaningful change towards more future. The begins by exploring concept transition, highlighting its importance, drivers, challenges. It then delves discussing examples opportunities it presents for driving Subsequently, significance understanding consumption patterns optimizing efficiency, along with influencing decisions corporate behavior. emphasized, focus on their synergistic potential investments informing decision-making processes. Case studies are presented illustrate successful applications sector. Finally, discusses challenges future directions, including regulatory considerations, technological advancements, collaboration. concludes underscoring importance continued calls collective action Keywords: Energy Transition, Financial Innovation, Big Data, Metrics, Sustainability, Investment Decisions, Sustainable Energy, Renewable Climate Change

Язык: Английский

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Aligning oil and gas industry practices with sustainable development goals (SDGs)

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(6), С. 1215 - 1226

Опубликована: Июнь 13, 2024

The alignment of oil and gas industry practices with Sustainable Development Goals (SDGs) is imperative for fostering a sustainable future. This abstract provides an overview the strategies challenges associated this alignment. plays significant role in global energy supply, economic development, geopolitical dynamics. However, its operations often have adverse environmental, social, impacts, making SDGs essential. Challenges aligning include environmental degradation caused by extraction activities, social disparities oil-producing regions, regulatory complexities. To address these challenges, such as reducing carbon footprints, transitioning to renewable sources, engaging local communities, protecting human indigenous rights, diversification are crucial. Case studies companies successfully highlight best lessons learned. Impact assessments demonstrate positive outcomes aligned on conservation, well-being, development. Recommendations policy reforms, guidelines, stakeholder collaboration facilitate broader adoption practices. In conclusion, essential achieving development goals globally. calls concerted efforts from stakeholders, policymakers, civil society create more Keywords: Oil, Gas, Industry Practices, (SDGs).

Язык: Английский

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Enhancing business intelligence in e-commerce: Utilizing advanced data integration for real-time insights

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(6), С. 1936 - 1953

Опубликована: Июнь 13, 2024

This paper explores how advanced data integration techniques and real-time insights can significantly enhance BI in the e-commerce sector. By leveraging methods such as ETL, ELT, virtualization, API integration, streaming businesses achieve a comprehensive, unified view of their data. The enables dynamic pricing, personalized customer experiences, efficient inventory management, proactive fraud detection, improved support. Despite challenges silos, quality issues, scalability, security, technical complexity, solutions like governance, cloud computing, analytics tools address these obstacles. Future trends, including artificial intelligence, machine learning, edge block chains, fabric, promise to further transform e-commerce. Ultimately, are essential for companies stay competitive, optimize operations, satisfaction. In fast-paced competitive world e-commerce, ability make quick, informed decisions is crucial success. Business Intelligence (BI) plays vital role by transforming vast amounts into actionable that drive strategic operational efficiency. chain, Case studies from leading illustrate practical benefits implementing techniques, showcasing significant improvements efficiency Keywords: Intelligence, E-commerce Analytics, Data Integration, Real-Time Insights.

Язык: Английский

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Best practices and innovations in carbon capture and storage (CCS) for effective CO2 storage

International Journal of Applied Research in Social Sciences, Год журнала: 2024, Номер 6(6), С. 1227 - 1243

Опубликована: Июнь 13, 2024

Carbon capture and storage (CCS) has emerged as a critical technology in the fight against climate change, offering viable pathway to mitigate CO2 emissions from industrial processes power generation. This review explores best practices innovations CCS for effective storage, highlighting key strategies advancements that optimize capacity, enhance security, minimize environmental risks. The begins by delineating importance of reducing greenhouse gas meeting global targets. It underscores urgency deploying technologies at scale address dual challenge decarbonizing energy systems ensuring security. Drawing upon recent research industry developments, elucidates capture, transport, emphasizing integrated holistic approaches. discusses technologies, including post-combustion pre-combustion oxy-fuel combustion, efficiency improvements cost reduction strategies. Furthermore, delves into techniques, such geological ocean mineralization, evaluating their respective advantages, challenges, scalability. site selection, characterization, monitoring, need robust risk assessment frameworks regulatory oversight ensure safety integrity sites. Moreover, examines emerging trends CCS, enhanced oil recovery (EOR) using CO2, direct air (DAC) carbon utilization (CCUS) initiatives. potential synergies between renewable solutions leverage enable decarbonization hard-to-abate sectors heavy aviation. pivotal role achieving deep transitioning low-carbon economy. calls continued research, investment, collaboration unlock full accelerate deployment scale. By embracing fostering innovation, stakeholders can pave way contribute efforts combat change. Keywords: Best Practices, Innovation, Carbon, Capture, Storage, CO2.

Язык: Английский

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Transforming business scalability and operational flexibility with advanced cloud computing technologies

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1469 - 1487

Опубликована: Июнь 25, 2024

In the rapidly evolving landscape of digital transformation, cloud computing has emerged as a pivotal technology enabling businesses to achieve unparalleled scalability and operational flexibility. This review explores transformative impact advanced technologies on business operations, highlighting key innovations their implications for organizational growth efficiency. Cloud offers dynamic scalable environment where resources can be provisioned managed on-demand, allowing respond swiftly changing market conditions customer demands. By leveraging infrastructure, companies scale operations seamlessly without need significant upfront investments in physical hardware. flexibility not only reduces capital expenditure but also enhances ability innovate adapt competitive marketplace. Advanced technologies, such multi-cloud hybrid solutions, further augment by organizations optimize IT environments. Multi-cloud strategies allow distribute workloads across multiple providers, mitigating risks associated with vendor lock-in ensuring high availability redundancy. Hybrid which integrate on-premises infrastructure public private clouds, provide balanced approach managing sensitive data while benefiting from cloud. Moreover, cloud-native like containerization serverless have revolutionized application development deployment. Containers encapsulate applications dependencies, consistency different environments facilitating rapid Serverless reviews underlying developers focus solely code, thus accelerating cycle reducing overhead. The integration analytics artificial intelligence (AI) capabilities. platforms offer robust tools AI services that process vast amounts real-time, providing actionable insights predictive decision-making. empowers improve experiences, drive strategic initiatives data-driven precision. conclusion, are instrumental transforming harnessing power cloud, greater agility, cost efficiency, innovation, positioning themselves sustained advantage age. As continue evolve, potential redefine economic value will expand, making adoption critical imperative modern enterprises. Keywords: Operational Flexibility, Transforming, Business Scalability, Advanced, Computing Technologies.

Язык: Английский

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Enhancing data quality through comprehensive governance: Methodologies, tools, and continuous improvement techniques

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(7), С. 1680 - 1694

Опубликована: Июль 25, 2024

In the era of data-driven decision-making, ensuring data quality is paramount for organizations seeking to leverage their assets effectively. This paper explores comprehensive strategies enhancing through robust governance, methodologies, tools, and continuous improvement techniques. It highlights critical dimensions quality, including accuracy, completeness, consistency, timeliness, validity, uniqueness. discusses various assessment techniques, such as profiling, auditing, metrics. The also examines role cleansing, enrichment, integration, interoperability in maintaining high quality. Additionally, it provides an overview leading management evaluation criteria, best practices implementation. Finally, underscores importance monitoring, feedback loops, root cause analysis, fostering organization's culture. By adopting these strategies, can ensure reliability integrity data, improved business outcomes. Keywords: Data Quality, Governance, Profiling, Cleansing, Continuous Improvement.

Язык: Английский

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Predictive analytics for financial inclusion: Using machine learning to improve credit access for under banked populations

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(6), С. 1358 - 1373

Опубликована: Июнь 7, 2024

This paper explores the application of predictive analytics and machine learning techniques to enhance credit assessment lending practices. By leveraging alternative data sources, such as mobile phone usage, social media activity, transactional records, models can provide more accurate risk evaluations for individuals with limited traditional financial histories. The study demonstrates efficacy these through empirical analysis, showcasing their potential reduce default rates while increasing approval applicants. Furthermore, discusses ethical considerations biases associated use non-traditional in scoring. findings underscore transformative impact fostering inclusion, offering practical insights policymakers, institutions, technology developers aiming bridge gap under banked communities. delves into enhancing inclusion by improving access populations. Traditional scoring methods often fail accurately assess creditworthiness lacking conventional histories, thereby excluding a significant portion population from services. incorporating sources interactions, utility payments, offer comprehensive precise evaluations. research methodology involves developing testing various algorithms, including decision trees, random forests, neural networks, predict creditworthiness. are trained validated on datasets that include both sources. performance is measured against standard metrics accuracy, precision, recall, area receiver operating characteristic (ROC) curve. Empirical results indicate utilizing significantly outperform methods, leading higher applicants maintaining or management standards. Keywords: Financial, Inclusion, Predictive, Analytics, Machine Learning, Alternative Data.

Язык: Английский

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Integrating renewable energy with fuel synthesis: Conceptual framework and future directions

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(6), С. 2065 - 2081

Опубликована: Июнь 25, 2024

The integration of renewable energy sources with fuel synthesis represents a transformative approach to addressing the twin challenges sustainability and climate change. This review presents conceptual framework for coupling technologies, such as solar, wind, biomass, processes produce sustainable, zero-carbon fuels. emphasizes use electricity water splitting carbon dioxide reduction, key steps in synthesizing hydrogen other synthetic highlights importance advanced catalysts enhancing efficiency selectivity these chemical reactions. Innovations nanostructured catalysts, hybrid materials, biomimetic approaches are discussed their potential significantly improve performance durability catalytic processes. Additionally, underscores role characterization techniques computational modeling understanding optimizing catalyst behavior. necessitates technical associated scaling up production from laboratory industrial levels. These include ensuring stability longevity under operational conditions, managing intermittency sources, developing robust systems capturing utilizing dioxide. Furthermore, economic viability integrated is critical, requiring cost-effective solutions that leverage earth-abundant materials optimize overall efficiency. environmental benefits integrating substantial, offering pathway reduce emissions reliance on fossil fuels using can lead closed cycle, thereby mitigating impact change contributing sustainable future. Future directions this field involve interdisciplinary research further enhance performance, develop new refine process strategies. A roadmap future development includes prioritizing areas improved design, efficient CO2 capture electrochemical photochemical systems. abstract concludes by underscoring energy-fuel integration, envisioning where practices become cornerstone global Keywords: Integrating, Renewable Energy, Fuel Synthesis, Directions, Framework.

Язык: Английский

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