Even as companies invest heavily in digital transformations and become more data-driven, there’s a dramatic shortage of data scientists.
According to QuantHub, there was a data scientist shortage of 250,000 people in 2020. In a report released earlier this month by tech career hub Dice, data scientist was one of the top five fastest-growing job roles this year, while LinkedIn’s 2021 jobs report found hiring for data scientist jobs grew nearly 46% since 2019.
Augmented analytics bridges the gap
Augmented analytics tools offer the promise of addressing some of these shortfalls by making the technology more accessible to non-data scientists.
For example, analytics is increasingly being embedded into the applications that employees are already using, like Salesforce.
In addition, there has been a surge in the availability of low or no-code platforms such as H2O.ai, Knime, SparkBeyond, DataRobot, Rapidminer, Alteryx, SAS Viya and many more, said Amaresh Tripathy, global leader of analytics at Genpact.
