A market research body has suggested that including a question on citizenship has the potential to deter legal and illegal immigrants from responding which could undermine the accuracy of the US census. The organisation that made this claim are the marketing research and data analytics community in the States.
The data collected from the US census is used to inform multiple studies, such as the American Community Survey (ACS) and the Economic Census. Howard Fienberg, vice president of advice at the Insight Association, believes that the US could risk the accuracy of future surveys by introducing a question about citizenship.
Fienberg said “We urge the Department of Commerce and Census Bureau to rescind this decision and remove the citizenship question from the 2020 Census questionnaire. That would be in the best interests of an accurate, complete and efficient decennial census”.
Research Live has the full story here: https://www.research-live.com/article/news/remove-citizenship-from-us-census-urges-market-research-body/id/5042083
The CMO of Mozilla, Jascha Kaykas-Wolff, has used his extensive knowledge of product development to create “a more collaborative and smarter approach” to running Mozilla’s marketing department.
Mozilla’s new marketing approach was inspired by “agile” methodology to remove unpredictability and improve the company’s efficiency.
The search engine’s head of marketing said, “In marketing, because the gravity well is quite unformed, there are not a lot of systems, so you end up with a mash of ideas that work to what that particular organisation is trying to solve or work on, that you have to hire around,” he explains.
“It makes it unbelievably difficult to recruit. You can’t go out to the same pools of talent to bring people into the organisation, you have to really scope to whatever the problem you are trying to solve right now is”.
To read the full article, visit Marketing Week: https://www.marketingweek.com/2018/08/09/how-mozilla-has-adopted-an-agile-approach-to-make-marketing-more-effective/
H&M is turning its attention to technology to improve their profitability after experiencing a significant profit drop over the past 6 years.
The fashion retailer wants to improve the efficiency of their supply chain and give their customers what they want by implementing insights provided by big data and artificial intelligence about fashion trends and their consumer’s preferences.
Their investment in data insight will help H&M to predict what the market wants and successfully avoid a bad product cycle. Because the fast fashion retailer’s price points are already very low, it can be difficult to recover from bad purchase decisions and move undesired inventory.
H&M hopes that AI & Analytics can help them stock individual stores with specific location-influenced clothes inventory rather than have every store around the world stock the same items. The clothes brand hopes that big data and AI will help them to analyse returns, receipts and loyalty card data to tailor different stores for customer’s individual tastes.
If you want to read on, visit Forbes: https://www.forbes.com/sites/bernardmarr/2018/08/10/how-fashion-retailer-hm-is-betting-on-artificial-intelligence-and-big-data-to-regain-profitability/
The Japanese government is set to team up with academia and businesses to collaborate on the creation of AI enhanced hospitals to help lower the pressure on doctors.
In the next half a decade, the Japanese government is set to invest over $100 million to help set up 10 model hospitals by the end of fiscal 2022. The AI enhancements will work to update patients’ charts and analyse tests to help doctors with diagnosis.
The education, industry and health ministries in Japan are set to recruit companies and hospitals to participate this August. Officials hope that a basic working framework for the AI technology will be created as early as this September.
Visit Nikkei Asian Review to read more: https://asia.nikkei.com/Politics/Japan-plans-10-AI-hospitals-to-ease-doctor-shortages