THE IMPACT OF INTELLIGENT AUTOMATION ON MODERN BUSINESS OPERATIONS: A DATA-DRIVEN ANALYSIS

This article presents a comprehensive analysis of intelligent automation's transformative role in modern enterprise operations, examining implementation patterns across diverse industry sectors from 2020 to 2024. Through quantitative analysis of 500+ enterprise implementations, we identify three key patterns: (1) the emergence of hybrid automation architectures combining on-premise and cloud solutions, achieving 42% higher performance than traditional single-mode deployments; (2) a correlation between automation maturity and business resilience, with organizations at advanced automation stages showing 3.5x better adaptability to market disruptions; and (3) the critical role of data architecture in automation success, with organizations employing unified data platforms reporting 65% higher ROI on automation investments. Our analysis reveals that successful intelligent automation implementations follow a distinct maturity curve, progressing through stages of task automation, process automation, and cognitive automation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-24
DOI
https://doi.org/10.5281/zenodo.13986955
Primary Topic
Robotic Process Automation Applications
Type
article
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article

THE IMPACT OF INTELLIGENT AUTOMATION ON MODERN BUSINESS OPERATIONS: A DATA-DRIVEN ANALYSIS

Zenodo (CERN European Organization for Nuclear Research)
Robotic Process Automation Applications
article

THE IMPACT OF INTELLIGENT AUTOMATION ON MODERN BUSINESS OPERATIONS: A DATA-DRIVEN ANALYSIS

article en

Abstract

This article presents a comprehensive analysis of intelligent automation's transformative role in modern enterprise operations, examining implementation patterns across diverse industry sectors from 2020 to 2024. Through quantitative analysis of 500+ enterprise implementations, we identify three key patterns: (1) the emergence of hybrid automation architectures combining on-premise and cloud solutions, achieving 42% higher performance than traditional single-mode deployments; (2) a correlation between automation maturity and business resilience, with organizations at advanced automation stages showing 3.5x better adaptability to market disruptions; and (3) the critical role of data architecture in automation success, with organizations employing unified data platforms reporting 65% higher ROI on automation investments. Our analysis reveals that successful intelligent automation implementations follow a distinct maturity curve, progressing through stages of task automation, process automation, and cognitive automation.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 53%
Robotic Process Automation Applications
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