Predictive Analytics by Integrating Google Analytics and Pega AI

Praveen kumar Tammana ()

Journal of Technology and Systems, 2024, vol. 6, issue 1, 36 - 46

Abstract: Purpose: This paper explores the transformative integration of Google Analytics and Pega AI in predictive analytics, highlighting its potential to revolutionize data-driven decision-making. Methodology: By harnessing Google Analytics' extensive user interaction data alongside Pega's advanced AI algorithms, businesses can create predictive models with unprecedented accuracy. Findings: This integration facilitates enhanced customer behavior predictions, optimized marketing strategies, and improved operational efficiencies. Through real-world case studies, the paper evidences the successful application and significant impacts of this synergy. Unique Contributor to Theory, Policy and Practice: Ultimately, the integration of Google Analytics with Pega AI emerges as a pivotal advancement, offering businesses unparalleled insights and a competitive edge in today's data-centric landscape.

Keywords: Customer Behavior Fotrecasting; Data-Driven Decision Making; Google Analytics; Predictive Analytics; Pega AI (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://carijournals.org/journals/index.php/JTS/article/view/1704/2078 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bhx:ojtjts:v:6:y:2024:i:1:p:36-46:id:1704

Access Statistics for this article

More articles in Journal of Technology and Systems from CARI Journals Limited
Bibliographic data for series maintained by Chief Editor ().