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)

Bridging IT and Business Strategy and The Impact of Data-Driven Analytics on Organizational Performance and Innovation

Anik Biswas1*, Ariful Islam2, Al Akhir2, Fahim Rahman3, Sonia Nashid4, Sonia Khan Papia5

+ Author Affiliations

Applied IT & Engineering 2 (1) 1-8 https://doi.org/10.25163/engineering.2110364

Submitted: 25 February 2024 Revised: 03 May 2024  Published: 06 May 2024 

Abstract

Background: In today’s digital economy, organizations increasingly depend on data analytics to align information technology (IT) operations with business strategies. Analytics-driven decision-making enhances operational efficiency, strengthens customer relationships, and stimulates innovation. Understanding the precise impact of data-driven analytics on organizational performance remains an important area of study. Methods: This research employed a mixed-methods approach, combining survey data from 150 enterprises with qualitative interviews conducted with 20 business leaders in the technology, finance, and manufacturing sectors. Quantitative data were analyzed using descriptive statistics and regression modeling, while qualitative insights provided additional context. Results: Findings indicate that 78% of organizations using advanced analytics reported improved decision accuracy, while 65% achieved measurable cost savings. Furthermore, 72% of respondents identified analytics as a driver of innovation in product and service development. Regression analysis demonstrated a significant positive relationship between analytics adoption and organizational performance (β = 0.61, p = 0.01). Conclusion: Data-driven analytics plays a critical role in aligning IT with business strategy, enhancing efficiency, and fostering innovation. Organizations that invest in scalable analytics systems and workforce training gain greater competitiveness. The study establishes analytics as a strategic asset that enables organizational transformation.

Keywords: Data-driven analytics, Business strategy, Organizational performance, Innovation, IT integration

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