I need to identify the current practices of big data, Which effects helps to implement big data?

Hi Haroon, asalam aliakm? Read this and get a broad picture and their refine your search;

In both developed and developing countries, big data has permeated critical sectors such as healthcare, manufacturing, agriculture, and governance:

Healthcare: Big data analytics has been crucial for personalized medicine, predictive diagnostics, and managing electronic health records. In developing countries, however, challenges such as fragmented data and limited interoperability hinder full adoption (Muhunzi et al., 2024).

Smart Cities: Developed nations leverage big data for urban planning and sustainability, using advanced IoT integrations. In contrast, lack of infrastructure and diverse urban populations complicate similar implementations in developing countries (Khan et al., 2021).

Agriculture: While precision agriculture supported by big data thrives in developed countries, developing nations often face challenges like data accessibility and skill gaps, limiting its utility (MayaGopalP. & Chintala, 2020).

Governance and Public Services: Developed countries utilize big data for e-governance and policy-making with robust data mining and analytics tools, while developing countries struggle with data integration and policy standardization (Danso et al., 2022).

Key Differences Between Developed and Developing Countries

The disparities in big data practices between developed and developing nations arise from several factors:

Infrastructure and Technological Readiness:Developed countries benefit from advanced infrastructure and high-speed internet, enabling seamless data collection and analytics. Developing countries face infrastructural deficits, unreliable power supply, and inadequate digital frameworks, limiting the adoption of big data analytics (Iyamu, 2020).

Data Governance and Security:Strong data protection laws in developed countries provide a secure environment for big data utilization. In contrast, data security concerns and weak regulatory frameworks often impede big data adoption in developing countries (Anawar et al., 2022).

Human Capital and Expertise:Developed countries boast a skilled workforce proficient in data science and machine learning. Developing nations suffer from a shortage of trained professionals, which hinders the effective use of big data technologies (Truong, 2022).

Resource Allocation and Policy Support:High investment in R&D and favorable policies in developed nations drive innovation in big data practices. Limited funding and policy gaps in developing countries slow down progress in leveraging big data for critical applications like healthcare and governance (Muhunzi et al., 2024).

Adoption in SMEs:SMEs in developed countries use big data for competitive advantage and strategic growth. In developing nations, barriers such as technological complexity and financial constraints restrict big data adoption among SMEs (Sallehudin et al., 2023) Kind regards, Wycliff

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