International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 184 - Number 33 |
Year of Publication: 2022 |
Authors: Iranjali Samarakoon, Prasanna Liyanage |
10.5120/ijca2022922414 |
Iranjali Samarakoon, Prasanna Liyanage . Impact of Data Analytics on Operations Success of Apparel Sector ABC Clothing Pvt Limited (Sri Lanka). International Journal of Computer Applications. 184, 33 ( Oct 2022), 1-15. DOI=10.5120/ijca2022922414
This research mainly targeting to identify how adopting data analytics will help to improve operational efficiency of apparel sector (ABC Clothing-Sri Lanka). Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. [1] Operational efficiency is primarily a metric that measures the efficiency of profit earned as a function of operating costs. [2] researches related to Data analytics in garment and textile sector efficiency of operational functions have only few researches. To narrow down the scope researcher chose one organization which currently won best exporter award 2021 in medium scale. This organization is currently looking for a digital transformation. Research is conducted by choosing a population of 120 from most important operational functions of the garment factory. Population was chosen via snow balling method. Since qualitative method is more time consuming and less samples can be tested quantitative method is chosen. According to the literature review Data analytical tools, Data quality and data availability are few independent variables of data analytics which are impacting operational efficiency (dependent variable) of an organization. Pearson correlation was tested for identify the relationship between dependent variable and each independent variable and outcome is a positive relationship. Regression analysis was done to identify how much all independent variables (Data analytical tools, Data quality, data availability) together impact on the dependent variable. Results demonstrated that employees are not satisfied with Real time data availability of their divisions and employees pointed out what are the qualities they need in data analytical tools when considering new tools for digital transformation Company is looking for. Employees have pointed out the qualities and level of quality of data they think which organization already have.