Improving user experience through big data

Big data and the internet of things have, without a doubt, become a part of our everyday lives and we can’t live without it. For example, the first thing I do when I wake up every morning when i turn off my alarm, is to scroll through my Whatsapp for conversations I’ve missed then, Facebook and Instagram look at images and read post/ articles shared by my friends. How about you?

Moving on, in today’s society, the importance of customer satisfaction (user experience) is reliant on the digital footprint of the world. In an article released by McKinsey & Company, it is written that businesses need to take a different approach and capture the full range of benefits promised by the Internet of Things in order to stand out among competitors.

So how can we as marketeers use big data to improve customer satisfaction? As argued in Eli Pariser filter bubble theory, traditional adverts on websites are soon to be a thing of the past. Because, overtime these adverts may soon seem too common and boring. However, I feel that it is still a good theory that should not be forgotten and marketers should instead mix it up (traditional and outliers suggested adverts) to draw customers attention and not shun away conservative customers.

In these articles (1) & (2), they provide very useful information on how companies use big data to boost sales and how big data analytics drive productivity and profits. Companies today need to understand the importance of big data, how to effectively utilize big data analytics to create better customer satisfaction and thus, create better sales, profit and allow them to stand out among their competitors.

I’m positive that more companies will step up to the challenge, analyse efficiently the vast data around us and utilize the power of big data and the internet of things to provide better customer satisfaction and reap the profits!