Applied IT & Engineering
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Applied IT & Engineering

Volume 2 Number 1 2024

Article Contents

RESEARCH ARTICLE   (Open Access)
Contents Vol 2 (1)

Advanced Analytics in IT Systems Unlocking Insights Enhancing Decision Making and Maximizing Business Value

Anik Biswas1*, Md Iqbal Hossain2, Ispita Jahan3, Niladry Chowdhury4, Md Sakib Mia4

+ Author Affiliations

Applied IT & Engineering 2 (1) 1-8 https://doi.org/10.25163/engineering.2110379

Submitted: 31 October 2023 Revised: 15 January 2024  Published: 17 January 2024 

Abstract

Background: The expanding digital transformation of businesses has revealed the need for sophisticated IT system analytics which deliver operational data and better decision-making capabilities. Traditional IT management experiences problems when dealing with extensive and complicated datasets which leads to both operational inefficiencies and limited value generation. Organizations use advanced analytics to solve this problem through big data and artificial intelligence and predictive modeling which allows them to improve IT-based business operations.

Methods: The expanding digital transformation of businesses has revealed the need for sophisticated IT system analytics which deliver operational data and better decision-making capabilities. Traditional IT management experiences problems when dealing with extensive and complicated datasets which leads to both operational inefficiencies and limited value generation. Organizations use advanced analytics to solve this problem through big data and artificial intelligence and predictive modeling which allows them to improve IT-based business operations.

Results: Organizations which adopted advanced analytics demonstrated a 31.7% boost in decision speed and a 26.9% improvement in accuracy when compared to organizations without these systems. The IT operations experienced an 18.4% decrease in costs together with a 21.6% increase in system performance. The company achieved a 15.2% boost in competitiveness through customer segmentation and predictive insights which resulted in a 19.8% average revenue increase. The survey participants showed that analytics-based IT systems deliver better scalability and efficiency and business value than conventional methods.

Conclusion: The study shows that advanced analytics improves IT systems through fast precise decision-making and cost reduction and business value optimization which leads to better organizational competitiveness.

Keywords: Advanced analytics, IT systems, Decision making, Business value, Data insights.

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