Data Driven insights into Global partnership for sustainable development goals
Dr D J SAMATHA NAIDU
, MYLAMURU HARI KISHORE
Data Analytics, SDG-17, Global Partnerships, Sustainable Development, Decision Support Systems
The United Nations 2030 Agenda for Sustainable Development emphasizes the importance of
collaboration in addressing global challenges such as poverty, inequality, environmental sustainability, and
economic development. Among the seventeen Sustainable Development Goals (SDGs), SDG-17 focuses on
strengthening partnerships among governments, private organizations, civil society, and international
institutions. However, existing partnerships often face challenges such as fragmented data systems, lack of
transparency, weak coordination, and insufficient performance evaluation. This study proposes a data-driven
framework to enhance the effectiveness of multi-stakeholder partnerships. The research identifies gaps in data
availability, interoperability, and analytical capabilities, and suggests integrating digital technologies, data
analytics, and monitoring tools. The proposed system includes data collection, preprocessing, network
analysis, performance evaluation, predictive modeling, and optimization techniques. The results indicate that
data-driven approaches improve transparency, accountability, and decision-making in partnerships. By
leveraging real-time data and analytical tools, partnerships can achieve better coordination and measurable
impact aligned with SDG targets. This research contributes to strengthening global partnerships and
accelerating progress toward sustainable development goals.
"Data Driven insights into Global partnership for sustainable development goals ", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 4, page no.b414-b424, April-2026, Available :https://rjpn.org/JETNR/papers/JETNR2604182.pdf
Volume 4
Issue 4,
April-2026
Pages : b414-b424
Paper Reg. ID: JETNR_233537
Published Paper Id: JETNR2604182
Downloads: 00040
Research Area: Science and Technology
Country: YSR Kadapa , Andhra pradesh, India
ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: RJPN (IJPublication) Janvi Wave
