Predictive Analytics by Integrating Google Analytics and Pega AI

Authors

  • Praveen kumar Tammana

DOI:

https://doi.org/10.47941/jts.1704
Abstract views: 36
PDF downloads: 42

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.

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Published

2024-02-26

How to Cite

Tammana, P. kumar. (2024). Predictive Analytics by Integrating Google Analytics and Pega AI. Journal of Technology and Systems, 6(1), 36–46. https://doi.org/10.47941/jts.1704

Issue

Vol. 6 No. 1 (2024)

Section

Articles

License

Copyright (c) 2024 Praveen kumar Tammana

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.