Data science is tough enough already. Whether you’re looking to act upon data collected from IoT sensors or human generators, don’t make it harder than it has to be by making these three common data science mistakes.
Failure, unfortunately, is not unusual when it comes to big data and data science — and it’s even more troublesome when dealing with large amounts of sensor data from the Internet of Things. When you consider the number of organizations with data science practices versus those that are getting a positive return on investment, it’s clear that many (if not most) organizations struggle to bring it all together before finding repeatable recipes for monetizing data.
Author: Alex Woodie