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

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(7), P. 1680 - 1694

Published: July 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.

Language: Английский

---

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

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(6), P. 1358 - 1373

Published: June 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.

Language: Английский

---

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

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(6), P. 2065 - 2081

Published: June 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.

Language: Английский

---

Leveraging big data for agile transformation in technology firms: Implementation and best practices

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(6), P. 1952 - 1968

Published: June 13, 2024

The rapid pace of technological advancements and the increasing demand for innovation have compelled technology firms to adopt Agile methodologies, which promote flexibility, speed, customer-centric development. Concurrently, explosion Big Data has provided these with unprecedented opportunities enhance their decision-making processes, optimize operations, gain deeper insights into market customer behaviors. This review explores integration transformation in firms, emphasizing implementation strategies best practices maximize benefits both paradigms. involves shifting from traditional, linear development processes iterative incremental methodologies that facilitate continuous improvement adaptation. Data, characterized by its volume, velocity, variety, veracity, offers valuable can drive more informed strategic within frameworks. significantly product cycles, improve satisfaction, streamline operations. requires a well-defined strategy includes setting clear objectives, building robust data infrastructure, ensuring quality security. Establishing success metrics aligned business goals is crucial measuring impact initiatives. Building scalable infrastructure deploying advanced collection, storage, processing solutions handle diverse voluminous typical firms. Ensuring integrity essential deriving accurate inform processes. Integrating incorporating analytics ceremonies such as sprint planning, reviews, retrospectives. facilitates real-time feedback delivery, allowing teams respond swiftly changes products iteratively. Developing competency another critical aspect, requiring investments training, upskilling employees, hiring science talent interpret leverage effectively. Best leveraging include cultivating data-driven culture encourages literacy promotes transparency collaboration across organization. Advanced artificial intelligence (AI) play pivotal role harnessing predictive enabling proactive decision-making. Implementing visualization tools helps understand complex patterns trends, enhancing ability make decisions. An approach recommended, starting pilot projects test refine initiatives before scaling them Regularly monitoring key performance indicators (KPIs) ensures remain objectives allows timely adjustments based on results. Collaboration stakeholders, including cross-functional customers, vital are effectively integrated efforts align needs. future looks promising, emerging technologies Internet Things (IoT), blockchain, AI poised further capabilities. However, must also navigate ethical legal considerations, privacy compliance, ensure responsible use analytics. Leveraging powerful combination adaptability, insights. By adopting adhering practices, achieve significant operational efficiencies, enhanced development, improved positioning themselves sustained rapidly evolving landscape. Keywords: Transformation, Technology Firm, Practices.

Language: Английский

---

Regulatory Challenges and Compliance in Decentralized Finance (DeFi)

Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 71 - 100

Published: Jan. 22, 2025

Decentralized Finance (DeFi) is an emerging force transforming the global financial landscape by leveraging blockchain technology to eradicate middlemen and assist peer-to-peer transactions. However, a decentralized pseudonymous nature brings big challenge in its regulation compliance, especially Know Your Customer (KYC) Anti-Money Laundering (AML) regulations, market misconduct adaptation, new cryptocurrency innovations, safety security issues. This paper comparatively analyses two regulatory frameworks, compliance mechanisms, technical adaptations, measures of cybersecurity regulating DeFi India United States. By examining salient challenges strategies both jurisdictions, this study aims provide insights that help foster balanced environment promotes innovation without undermining stability or consumer protection.

Language: Английский

---