Sorting Big Data to Design Products
16. 02. 2017
The new technology analyses online and social media consumer comments about products to inform designers so they can create better products consumers will love.
Professor Daizhong Su and his team at Nottingham Trent’s Advanced Design and Manufacturing Engineering Centre says a recent design case study shows how innovative design can be achieved from a better understanding of consumer preferences.
“At our fingertips is an array of data which tells us the strengths and weaknesses of almost every product in the world,” said Professor Su. “We’ve developed a way to harness this valuable information and create a powerful approach which could change the way we think about design.
“It has the potential to make tomorrow’s products more innovative, user-friendly, sustainable and better informed of user requirements.”
Keywords are entered into the new computer program and it then categorises reviews - breaking down the positive and negative comments on products and product features. ( The program disregards spam comments.)
“The case study is part of our on-going research into the online data mining of consumer views,” said Professor Su.
“It shows how the use of big data can help customize consumer preferences into the product development process, helping determine important design decisions to meet customer needs more accurately.”
As BIG BERRY, we believe the power of social media and always try to locate our ideas, business plan and product development process according to social media trends. In every season, we work with almost 15 student interns who are from different countries and cultures. Each intern is responsible for a social media account and when they are in the first month of internship, learn how to manage the social media business.