The need to interpret the vast data is growing unprecedently in the world. With digitization taking over industries, more and more organizations are generating digital data like never before. The growing data is not only a huge asset but also presenting immense opportunities for the industries.

The opportunities can be in the form of competitive advantage, superior customer experience, operational efficiency, and innovation in the very product of the organization. As enticing as it sounds, the journey to reaching this point where all of the data makes sense is a little tiresome.

To derive interpretations and insights from the data means going a rigorous process of collecting, transforming, loading, and finally applying data analytics on top of it. As challenging as it sounds, it is difficult to make it possible in reality without any resources put to use.

This is where most of the businesses fail. Small and medium businesses find it extremely challenging to invest in anything because of their obvious budget constraints. On the other hand, large businesses are the first ones to leverage technology to make the best use of data. This not only creates a difference in the market but also makes it more tilted towards giant enterprises and organizations.

However, despite all this, small and medium enterprises manage to contribute to a great extent to the economy. The question is how do they do that?

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