The problem with Big Data is not so much its quantity list of cell phone companies in canada, but the ability of companies to be able to analyze the available data in the appropriate way. The formula is conversational and is developed in three stages: query, response, and detailed view. Increasingly sophisticated algorithms allow each digital stream to be intercepted and interpreted. This is the technological progress that is revolutionizing business models.
Data-driven companies need new data science profiles, now widespread in large companies: in 2020 there is a stability in the dissemination of the Data Analyst, now present at 76%, and the Data Scientist, present in 49%, but the Data Engineer (58%, + 7%) and the Data Visualization Expert (52%, + 31%) grew, while the Analytics Translator (present in 30% of the companies ) is emerging as an emerging profile.
To do this, the latest McKinsey report (“The age of analytics”) identifies four types of profiles that will be increasingly required by companies:
Data architects, that is, those who design data systems and related workflows
Data Engineers, who identify data-driven solutions and develop specific exploration and analysis products.
Data scientists, who analyze data using increasingly sophisticated algorithms
Business translators, bimodal figures with technical and business knowledge Gulf Phone Number List
