Data Analytics for Sustainable Development: Harnessing Big Data to Track and Achieve Global Sustainability Goals

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@article{1707005,
      author = {Rishi Reddy Kothinti},
      title = {Data Analytics for Sustainable Development: Harnessing Big Data to Track and Achieve Global Sustainability Goals},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {7},
      number = {11},
      pages = {750-760},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707005.pdf},
      abstract = {Organizations now focus heavily on data analytics and big data tools because of urgent worldwide sustainability demands. This article examines how data analytics helps achieve sustainable development goals by creating useful information and better decision-making through evidence. Combining IoT sensors, satellite data, and social media analysis enables organizations and governments to track sustainability progress while designing accurate solutions. We explore key methods and tools to connect missing data and make sustainable development projects more transparent to all stakeholders. The success of these efforts is held back by several major issues including data protection regulations, uneven distribution of technology, and strong data management rules. Big data will help achieve global sustainability goals only when governments work with society and private companies through united policies that apply new technology effectively. The research shows how data analytics can help create better plans for sustainable development by showing clear paths forward.},
      keywords = {Data Analytics, Big Data, Sustainable Development Goals (SDGs), Sustainability Metrics, Global Sustainability.},
      month = {May},
  }