The electric bike revolution
Michael Wagstaff • 7 May 2021
Sales of e-bikes set to go up a gear
There is a lot of discussion about how electric cars will change the automotive landscape but not so much about the impact of electric bikes. Imports of e-bikes in the last few years, particularly from China, have increased rapidly and so growth in use seems inevitable.
We've brought together some of the more interesting stats about e-bikes in this handy infographic. If the forecasts are right then e-bikes will become a much more familiar sight on the road.
Research shows that e-bike owners cycle longer distances than riders of normal bikes. This means that there is a greater potential for e-bikes to replace some journeys normally undertaken by car. In fact, one quarter of owners say they use their e-bike for journeys instead of the car so the environmental impacts are already becoming evident.
Despite the bold predictions of growth, only 7% of people in the UK say they want to try an e-bike in the next 12 months. In Italy the corresponding figure is 30%. It is clear that significant investment in UK cycling infrastructure will be needed to achieve the level of growth forecast.
The huge volume of data available through consumer comments, reviews and surveys can make cutting through the noise difficult. In this article we discuss how text analytics combined with human expertise can uncover the insight.
Market research agencies are going all in on AI based models to generate next level consumer insight. But are these just more illusion than substance?
With the online survey already on the ropes due to poor quality, has data science finished it off?
Research agencies are pinning their futures on AI. Are they right to do so or are we missing trick by ditching the human?
Online surveys suffer from fake, ill considered and unrepresentative responses. What can be done to improve their reliability? Triangulation is the key.
With so many agency panels riddled with fake respondents resulting in poor quality data, are we witnessing the end of the online survey?
With the January transfer window closed, we run our predictive model to work out the probabilities of where each team will finish in the final Premier League table.
In this latest article in our series on the power of text analytics we look at how sentiment analysis can be used to really understand what customers think about product offerings.
The true value of review sites lies in going beyond the stars and analysing what reviewers are actually saying.
Start making sense of customer review and feedback data by using text analytics. In the first of a series of articles we discuss how it can help your business.