The use of small data is on the rise
Updated: Jan 9, 2022
Small and large enterprises can save time by utilising the most valuable data instead of sifting through large amounts and spending more time analysing than executing.
Huge amounts of generated data can often be time consuming and costly. A shift from big data to small data is becoming popular among marketers and large enterprises who see value in buying small bits of data.
Sort with ease
“Allow faster and more bandwidth sparring innovations to take place by taking the data you need and fast-tracking the process.”
In the era of data and information, big data is no longer a new concept to businesses and society. As the world of data evolves and organisations look for new ways to generate insights, create returns, make well-informed decisions, discover new audiences and jump on industry trends, it's not longer just a question of what data to use but how efficiently you can source that data.
Data quality and health is more important that ever as businesses discover new ways to optimise big data and be innovative. The amount of data continues to grow and the rapid and ever-evolving development of technology today gives you plenty of options on the market.
In saying that, a hidden trend in the evolution of data in 2022 is to go small. Allow faster and more bandwidth sparring innovations to take place by taking the data you need and fast-tracking the process.
“A hidden trend in the evolution of data in 2022 is going small."
According to Bryan Philips Cupertino, Calif.-based In Motion head of marketing, small data is the opposite of big data. It is a term that describes data sets with fewer than 1,000 rows or columns. The term was coined in 2011 by researchers at IBM to describe datasets that are too small for traditional statistical methods. In contrast to big data, small datasets can be analyzed using estimation. Examples of small datasets include customer transactions, social media posts, and individual genome sequences.