Admin Analytics for Proactive Decision Making: Dynamic Dashboards for Enhanced Engagement Across Industries

This paper explores advanced recommendation frameworks designed to support administrators in making proactive, data-driven decisions. It focuses on dynamic analytics dashboards, machine learning models for user engagement prediction, and cross-industry adaptability. The work highlights architecture modularity, scalable infrastructure, and secure data pipelines, presenting solutions that optimize operational oversight and resource allocation across sectors like healthcare, retail, and education.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-07
DOI
https://doi.org/10.5281/zenodo.16761985
Primary Topic
Xenotransplantation and immune response
Type
article
Field-Weighted Citation Impact
0.00
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article

Admin Analytics for Proactive Decision Making: Dynamic Dashboards for Enhanced Engagement Across Industries

Zenodo (CERN European Organization for Nuclear Research)
Xenotransplantation and immune response
article

Admin Analytics for Proactive Decision Making: Dynamic Dashboards for Enhanced Engagement Across Industries

article en

Abstract

This paper explores advanced recommendation frameworks designed to support administrators in making proactive, data-driven decisions. It focuses on dynamic analytics dashboards, machine learning models for user engagement prediction, and cross-industry adaptability. The work highlights architecture modularity, scalable infrastructure, and secure data pipelines, presenting solutions that optimize operational oversight and resource allocation across sectors like healthcare, retail, and education.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Xenotransplantation and immune response
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Admin Analytics for Proactive Decision Making: Dynamic Dashboards for Enhanced Engagement Across Industries · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS