DATA ANALYTICS LIFECYCLE: OBSERVATION METHODS & PROCESSING FRAMEWORK
Keywords:
Data Analytics, Lifecycle Framework, Observation Methods, Data Processing, Business Intelligence, Analytics Methodology, Data-Driven Decision MakingAbstract
The exponential growth of organizational data has created unprecedented opportunities fordata-driven decision-making, yet many organizations struggle to extract meaningful insightssystematically. This research develops a comprehensive framework for the data analytics lifecycle, emphasizing observation methods
References
Anderson, K., Williams, T. and Morrison, P. (2023) 'Data observation strategies in business analytics: Passive versus active collection approaches', Journal of Business Intelligence, 15(2), pp. 178-201
Downloads
Published
2023-05-31
How to Cite
Anisha Gupta. (2023). DATA ANALYTICS LIFECYCLE: OBSERVATION METHODS & PROCESSING FRAMEWORK . Journal of Computational Analysis and Applications (JoCAAA), 31(3), 851–866. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4613
Issue
Section
Articles
