Many people wonder if automation will eventually replace people who work as data scientists. The much more likely outcome — and one that’s already happening — is that data automation will enhance how scientists spend their time and improve the results they get. Here are five ways it can help.

1. Accelerating Project Completion Times

Getting insights from data is an aspect decision-makers focus on most often. However, the less-exciting but all-important tasks, like compiling, cleaning and formatting the information, can occupy more space in a project timeline than people realize at first. Investing in automation can make a data science team more productive and agile.

In one example, the leadership at a bank that utilized data science discovered it took longer than desired to get crucial insights. They supplemented the work with automation. Before making that change, the company completed one to two projects every three months. Adding automation allowed them to finish 10 times that amount in the same timeframe.

#2020 oct opinions #automated data science #automation #data science