Industrial Research World

  Over the last decade, data science has been rapidly progressing both as a technology and as a discipline. Best practices have been created by the leading businesses and it is now becoming part of the operational core for organizations. However, there is a need for a next step for product evolution in data science platform that supports and provides both business users an integrated solution for managing, building, and optimizing predictive models. Nowadays, data science platform is the most talked about topic in data science meet-ups, conferences, and top publications. According to a Research Dive  analyst review , the concept of data science platform is not novel in the big data space but the need of data science platform in business is still unknown to many. Download an Exlcusive PDF Sample of Data Science Platform Market@  https://www.researchdive.com/download-sample/77 Need for a Data Science Platform  1)    To Enable Better Teamwork with Data Scientists If the data scientists ar

  Data science platform market  is estimated to rise with a   CAGR of 31.1%   by generating a revenue of   $224.3 billion by 2026 . Asia-Pacific holds the highest growth rate, expecting to reach $80.3 billion during the forecast period. Data science is the preparation, extraction, visualization, and maintenance of information. Data science uses scientific methods and processes to draw the outcomes from the data. With the help of data science tools and practices one can recognize the data patterns. The person dealing with data science tools and practices uses meaningful insights from the data to assist the companies to take the necessary decision. Basically, data science helps the system to function smarter and can take autonomous decisions based on historical data. Access to Free Sample Report of Data Science Platform Market (Including Full TOC, tables & Figure) Here! @  https://www.researchdive.com/download-sample/77 Many companies have a large set of data that are not being utili