Organizations realize to adopt Data Science for informed decision-making Keywords- Data Science certifications, data science skills, data science jobs
The decision-making process is crude and time-consuming. Every company has a panel of trusted individuals who decide on the most important decisions influencing the company's reputation and prestige in the global market. But that's not an actual scenario. According to an article published by Harvard Business School, the decision-making in most of the eminent companies is done on a hunch. They could be wrong or right. But the real question is should we rely on our guts to make any decision? Organizations these days are realizing the worth of informed decision making. Informed decision making is a stepwise process of making a decision after having a deep analysis with a knowledgeable and experienced team backed up by data, facts, figures, and machine learning. This is an obvious fact that every company needs at least one data scientist, irrespective of the domain. This has led to improvised decisions and reduction in spontaneous decisions. More and more companies are getting benefited by the informed decision making backed up by Data Science. Now, you might wonder, why do organizations need a data scientist. Let’s quickly look at the role of a data scientist - she is a person who personifies the best Data Science skills and efficiently pulls out the best in her to make the most favorable decision for the welfare of the company. Data science can certainly prove to be the best tool for decision-making rather than a hunch or gut feeling. To make this more impactful, in a survey conducted by PwC of roughly 1000 senior executives, it was evident that the companies who relied upon Data for decision-making made three times more decent than the companies who relied upon their gut-feeling or hunch.
What is Data Science? Data Science is a multidisciplinary field that accumulates wide and deep knowledge of various scientific methods, algorithms, machine learning processes, handling unstructured and structured data to extract out the hidden meaning, and apply knowledge to provide crucial information in decision-making. The major job roles in the data science domain includes Data Analyst, Data