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The ever larger and more varied data sets generated from cognitive and IoT (Internet of Things) technologies have become a big challenge for businesses to find the value of that data without a data scientist. The failure of applying data science led to a competitive disadvantage. According to the Forbes report, Data scientist is one of the highest demand jobs today. In Order to get actionable business insights from their data, and not fall behind in the competition, companies should find new tools, staffing models, and training strategies.

Automation and employee training are giving organizations access to data science without having to wage war for talent. According to the Gartner report, more than 40% of data science tasks would be automated by 2020. Thus, the companies, who adopted data science automation tools early can get benefits in terms of cost and time savings along with revenue gains.

There are various tools available in the market to simplify the application of data science strategies. Meanwhile, The demand for low-code development platforms is rising significantly, and multiple training courses and boot camps have already started to help professionals from diverse backgrounds acquire relevant data science skills with basic coding and mathematics.

Though the demand for …

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