Abstract
Big data analytics is becoming a key to success for many organization as it extracts the productive value from a huge amount of raw data. This data helps in strategic decision making for continuous process improvements and advancement. This study also focusses on the impact of big data analytics on one of the most important process of an organization which is service supply chain process. ERP (Enterprise Resource Planning) is the tool which is used for big data analytics and based on that study was initiated for pre- and post-implementation of ERP for the years 2015 and 2017 respectively. Null hypothesis and H1 hypothesis are formed. Then, ten major factors have been identified which act as performance indicators for service supply chain process. Based on these factors data has been collected and analyzed. After obtaining the values one-way ANNOVA technique has been applied for testing of hypothesis. It has been observed that F calculated value comes out to be very high in comparison to the F table value which rejects the null hypothesis and proves that Big data analytics has an impact on service supply process.
Highlights
Big data analytics is a revolution which cannot be bypass
The hypothesis is represented as follows: Null Hypothesis: Enterprise Resource Planning (ERP) implementation has no impact on service supply chain process H1: ERP implementation has an impact on service supply chain process
3.2 Factor Analysis In the second phase ten major factors have been identified which are used for evaluating the performance of service supply chain process- Individual efficiency, Lead time, Decision making, Data transparency, Customer satisfaction, Return on investment, Inventory management, Order fulfillment, cost reduction and vendor management
Summary
Big data analytics is a revolution which cannot be bypass. It is a technique to take out value from a huge amount of raw data. There are many big data analytics tools out of which ERP emerges out to be a dynamic and revolutionary tool which is helping organizations in solving almost every problem related to data collection, data segregation, data storage, data maintenance and data analytics. If we have the exposure to correct data these areas can be taken care off in a well-planned and efficient manner (Ward, Marsolo, & Froehle, 2014).Data Analytics technique used by the organizations demonstrates that it has an impact on cost by forecasting the dynamics related to it. As per report from (IBM (2010), 2012) “Organizations might, need to acquire new skills like mathematical, statistical, econometrics and IT to develop the ability to use data analytics for decision making as these abilities and skills could add value to organizations and have an impact on various processes in the organization”. Big data is used by supply chain managers to expose the big data’s key success factors and enablers in management of supply chain process (Teece, 2009)
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