Data Science Strategy: Exploring the Patterns and Rules in the Data-Intensive Discipline

EasyChair Preprint no. 8408

Abstract

Several researchers have looked at the difficulties associated with adopting different components of Data Science in a variety of business sectors and specialties. An abundance of research has been conducted in the past on the popular acceptance of data science in its entirety as a phrase that encompasses all of its constituent parts. Using a detailed examination of this literature based on the comprehensive Data Science along with the enablers and obstacles to data technology strategies in agencies, this research explores patterns and rules in data science along with evaluating the deployment and relevance of data science strategies in various organizations.

Keyphrases: Data Science, datanature, digital transformations, Digitalization, Digitization, patterns, rules.

@Booklet{EasyChair:8408,
  author = {Geetanjali Tyagi and Susmita Ray},
  title = {Data Science Strategy: Exploring the Patterns and Rules in the Data-Intensive Discipline},
  howpublished = {EasyChair Preprint no. 8408},

  year = {EasyChair, 2022}}