Data Merging in Complex Systems: Techniques for Harmonizing Disparate Data Sources in Critical Industries
Year: 2024
Type: article
Abstract: The increasing reliance on data-driven decision-making has brought attention to the challenge of harmonizing disparate data sources in complex systems, particularly in critical industries such as healthcare, manufacturing, energy, and transportation. Data merging—the process of combining data from various sources to create a unified view—is essential for achieving accurate insights and supporting efficient operations in these industries. This paper explores various techniques and methods for data merging in complex systems, highlighting key challenges, benefits, and emerging trends in data integration. By examining real-world use cases and best practices, this paper provides valuable insights for organizations seeking to implement data merging strategies that enhance operational efficiency, mitigate risks, and maintain the integrity of sensitive information in critical sectors.
Author: Sreenu Maddipudi -
Language: English
Topic: Data Quality and Management
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405656165