Think of companies that have not leveraged data science to amplify their value-generating potential to such firms that have successfully ridden the data analytics wave. What according to you could be the underlying rationale for such a firm to not adopt the data science wave? Provide citations and sources as part of your essay.
These solutions may offer step-by-step problem-solving explanations or good writing examples that include modern styles of formatting and construction
of bibliographies out of text citations and references. Students may use these solutions for personal skill-building and practice.
Unethical use is strictly forbidden.
In part, the wide adoption of data science by some companies is influenced by the lack of professionals among employees. There are currently many data science tools available on the market with different levels of complexity; on the other hand, it is not easy for all companies to hire data science professionals with extended background in this field. Secondly, data science wave requires to the companies analyzing more available data quicker than in the past with the help of analytics. Or this might lead in the end to more trouble in “separating the noise from the signal” (Begoli, Bottles, & Worley, 2014, p. 8)....