International Journal of Science, Engineering and TechnologyAuthors: Kabir Anand
Abstract: This review explores the role of QlikView load scripts in enabling efficient data integration, transformation, and preparation within enterprise business intelligence (BI) ecosystems. QlikView’s scripting capabilities facilitate extraction of structured and semi-structured data, incremental loading, change data capture, and complex transformations, ensuring high data quality and analytical readiness. The article examines advanced scripting techniques, including the use of variables, loops, resident and temporary tables, and QVD caching, which optimize performance and memory usage in large-scale deployments. Comparative insights with Qlik Sense highlight differences in self-service and governance capabilities. Governance, security, error handling, and best practices are discussed, alongside real-world use cases across finance, healthcare, retail, and the public sector. The review concludes with future directions emphasizing AI-driven automation, cloud integration, and real-time ETL, positioning QlikView load scripts as a critical component in modern, scalable, and data-driven BI strategies.
DOI: https://doi.org/10.5281/zenodo.17277953
