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From insights to impact: leveraging data analytics for data-driven decision-making and productivity in banking sector

Business

From insights to impact: leveraging data analytics for data-driven decision-making and productivity in banking sector

R. Gul and M. A. S. Al-faryan

This study, conducted by Raazia Gul and Mamdouh Abdulaziz Saleh Al-Faryan, uncovers how data-driven decision-making (DDDM) boosts productivity in Pakistan's banking sector. Discover the impressive 9-10% increase in productivity achieved through analytical approaches!

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~3 min • Beginner • English
Abstract
This study investigates the impact of data-driven decision-making (DDDM) on productivity in Pakistan’s banking sector, considering the role of data analytics (DA) capability. Grounded in innovation diffusion theory and estimated using an Instrumental Variable Two-Stage Least Squares (IV-2SLS) approach, the authors construct a composite DDDM index from a primary survey and regress it on banks’ productivity (2016–2020). Results indicate that adopting analytics and DDDM increases productivity by about 9–10%, and that DDDM adoption combined with investment in data analytics further enhances productivity.
Publisher
Humanities and Social Sciences Communications
Published On
Oct 06, 2023
Authors
Raazia Gul, Mamdouh Abdulaziz Saleh Al-Faryan
Tags
data-driven decision-making
productivity
banking sector
data analytics
Pakistan
instrumental variable
survey

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