Structuring IS framework for controlled corporate through statistical survey analytics

Abstract

The Pharma Engineering Manufacturers are an evolving sector in terms of its high profile operations, richness of data and ever-increasing research in their field. With such bounty, its workflow in terms of information and data management is everchanging and demanding to keep up to the market best practices and to avoid uncertainties in information management. As furtherance to such a stance, this paper is directed to study about a Controlled Corporate. The Parent company has its own Information Security Management System (ISMS) but the highlight sought here is how well the Parent's ISMS is getting translated into its newly established Subsidiary operations. In present parlance, most of the company's information are transmitted through digital forum, thereby making the Information Technology (IT) department in the organization to be more active than before. Considering these, the study is been directed on the lines to know first on how similar peers behave in terms of their IS (Information Security) management via analytical surveys. These findings are then presented with a strong theoretical base (global best practices like ISO/ NIST Frameworks) to consider the needed attributes for imputing a proper IS Framework for the Controlled Corporate operations.

Analysis of the application of artificial intelligence technology in the protection of corporate governance rights and interests

“… Robinson (2020) introduced a machine learning (ML) approach for measuring fundamental ratios. Environmental, social, and governance (ESG) scores are used in the proposed approach as a predictor, which provides related data for the analysis process.…”

“…The proposed framework reduces the error rate in storage, improving corporate companies' overall efficiency and operation. Robinson (2020) introduced a sustainable strategy model based on sentiment analysis for the corporate governance system. Corporate social responsibility (CSR) is used in the proposed model to determine the financial performance index by combining it with the non-financial index.…”