Small Data is nothing but small data groups, either structured or unstructured. They are easy to understand, access, combine and examine. Provided the right predictive analytics tools. A critical point is Small Data’s capacity to reshape businesses via meaningful insights and decisions made after in-depth investigation.
Several Small Data analytical solutions available in the market are in use and help companies to grow. A new revolution is just starting. It will happen fully when Small Data becomes ubiquitously used in Machine Learning like never before. Hence, Small Data is data in a (small) volume and format. Its small size makes it easy, informational and actionable in Machine Learning for predictive analytics.
The concept of Small Data is compelling: Do you need to reveal unseen patterns about consumer behavior, predict the next election, or understand where to direct ad spend? There’s TADA for that, Machine Learning for Small Data. Yet all the fog coming out of the artificial intelligence machine appears to be veiling our understanding of the big picture: artificial intelligence is meaningful only when actionable. And in most cases Small Data is beneficial simply if we (those of us who aren’t data scientists) can use it in our everyday lives.