The theme of 4th International Conference on Data Science and Management (ICDSM-2025) has been thought of focusing the application on Data Engineering as well as business intelligence linked to domains of Science, Engineering and Management.
Data engineering is the complex task of making raw data usable to data scientists and specific groups within the prescribed domains. It encompasses numerous specialties of data science. In addition to making data accessible, data engineers create raw data analyses to provide predictive models and show trends for the short- and long-term. Without data engineering, it would be impossible to make sense of the huge amounts of data that are available to businesses. Practically, the data engineering is provisioned with specific phases in the pipeline like ingestion, where the status of the gathered data can be measured based on the number of data sources. Also in the processing phase, the ingested data can be sorted to achieve specific analytical set of data. Business Intelligence is the concept that focuses on examining the data an organization accumulates and studying how it affects business operations and profitability. So along with the analytical approaches it can reveal powerful trends and decisions on the massive data.
See the website: https://giet.edu.in/ICDSM-2025/