COP OUT
William Wagstaff • 31 October 2021
Are we still concerned about the environment and climate change?
Over the last 18 months the pandemic has been the number 1 concern for most people. Now, with the start of the UN Climate Change Conference (COP26),the environment is back in people's minds.
The recent IPCC report found that the Paris Agreement goal of limiting global warming to 1.5 degrees C will be exceeded by 2040. This has led to the re-emergence of environmental groups and figureheads promoting activism and a greater discussion about the environment.
Now that we are beginning to emerge out of the pandemic, the focus once more is on the role of
individuals in addressing environmental concerns such as climate change. By analysing trends in energy consumption, travel, food sustainability, recycling and environmental activism, we ask whether people are doing enough and what more needs to be done.
The report also discusses whether an individual can pick and choose how they play their part in addressing environmental concerns, whether it's ok to be an environmental hypocrite and how an over reliance on self-motivation coupled with insufficient governance is hampering the fight against climate change.
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.