Gartner recently released their? 'Top 10 Data & Analytics Trends for 2020' where they stated that "the collision of data and analytics will increase interaction and collaboration between historically separate data and analytics roles. This impacts not only the technologies and capabilities provided, but also the people and processes that support and use them. The spectrum of roles will extend from traditional data and analytics to information explorer and citizen developer as examples".
With Forbes predicting that there will be a shortage of at least 250,000 data scientists in the US alone by 2024, how will our data-driven enterprises survive? Should we empower citizen data scientists and embody a data democratisation approach or is there a better way to optimise our data science teams?