Top Data and Analytics Trends for 2021

Empowering application development teams with the best tools while creating a unified and highly flexible data layer still remains an operational challenge for the majority of businesses. Hence, data engineering is fast taking the center stage acting as a change agent in the way data is collated, processed and ultimately consumed. Not all AI/ML projects undertaken at an enterprise level are successful and this mainly happens due to lack of accurate data. Despite making generous investments in data analytics initiatives, several organizations often fail to bring them to fruition. Yet companies also end up spending significant time preparing the data before it can be used for decision modeling or analytics.