Conceptualizing the Role of Data Analytics and Technology in E-Governance

Abstract

Big Data in the current context is an asset for any government body as it helps in efficient and effective governance with the help of technology so as to create and build a citizen centric approach. As digitization has become an integral part of everyday life, data collection has resulted in the accumulation of huge amounts of data that can be used in various beneficial application domains. Effective analysis and utilization of big data is a key factor for success in many business and service domains. The Government of India initiated a Big Data exercise by collecting data in various forms, namely, PAN card data, voter ID card data, AADHAR data, BPL data, etc., which was meant to pass on the benefits of a specific nature to the beneficiaries. Various schemes have been conceived and implemented by different state and central governments wherein Big Data has been generated and has helped the beneficiaries in different facets of receiving the benefits. The next step of all these smart initiatives and smart data is to logically and correctly use the data for transiting the current policies into the futuristic levels. This paper selectively reviews and analyzes the Indian policy context regarding Big Data, data analytics and the associated technology requirements in the e-governance context.

Review of Data Mining and Data Warehousing Implementation in E-Governance

“…Nowadays, the completion is increased for the success achievement between the businesses. Hence, a large quantity of information or data is required to be collected for the business (Shukla et al, 2020). In e-governance, the finest decision making data mining is an essential part.…”

The Effect of Individual Analytical Orientation and Capabilities on Decision Quality and Regret

“…Effective analysis and utilization of big data is a key factor for success in many business and service domains (Shukla & Mathur, 2020). In a context of scarce resources and profound change in customer needs, companies and individuals are faced with an abundance of decision possibilities (Kreuzer, Röglinger, & Rupprecht, 2020).…”