Manifold Data Mining
Manifold Data Mining is a Canadian company specializing in consumer data products, analytics, and predictive modeling. As a data and analytical service provider in Canada, they have been providing businesses, charities, and governmental organizations with comprehensive data products since being founded in 2001. For each neighbourhood, they provide estimates of what products consumers buy, where and how often they shop, how much they spend, which media channels they use, their lifestyles, and their attitudes or psychographics.[1]
Data Products
Their data products include demographics (e.g. geo-demographics), consumer behaviour, and a number of other categories. The Canadian census is conducted every 5 years, so in order to produce inter-censal estimates, e.g. for Sault Ste. Marie, they need to take into consideration other factors.[2] They also consider factors which affect the standard census such as undercount.[3]
All data products are modelled down to the 6-digit postal code level and various levels of census geographic units, with each postal code averaging 10–15 households.
Manifold is a partner of Vividata and Numeris, and models their survey responses down to the 6-digit postal code level, i.e. all across Canada and in markets not covered by their surveys.[1]
Industry | |
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Founded | 2001 in Toronto, Ontario |
Headquarters | Toronto, Ontario, Canada |
Products |
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CanaCode Lifestyle Clusters
One of their popular data products is CanaCode Lifestyles, which is a lifestyle segmentation system based on over 10,000 variables, ranging from demographic to spending to consumer behaviour and media usage patterns.[4]
Scientific Research
Manifold Data Mining has also published numerous peer-reviewed research papers on topics such as Type 2 Diabetes.[5] Manifold also publishes papers on Machine Learning techniques like collaborative filtering, which they use in their modelling and as part of their proprietary techniques.[6]
Other Usage
Manifold is often cited by municipalities in their community profiles, 5 and 10 year economic and land development plans.[7][8][9][10][11][12]
Manifold's data has been used by university researchers, for example those investigating poverty odds, living standards, and low socio-economic status.[13]
References
- "Daily Research News Online no. 28989 – Vividata, Manifold Link for Canadian Consumer Insights". www.mrweb.com. Retrieved 2020-11-25.
- Government of Canada, Statistics Canada (2020-05-12). "Census of Population". www23.statcan.gc.ca. Retrieved 2020-11-25.
- "So what is the population of the Sault anyway?". Retrieved 2020-11-18.
- "Consumer Lifestyle Clusters | Manifold Data Mining". Retrieved 2020-11-18.
- Tsasis, Peter; Wu, Jianwong; An, Aijun; Wong, Hannah J.; An, Xiangdong; Mei, Zhen; Hains, Ted (2016-03-29). "Conceptualizing type 2 diabetes and its management". Journal of Multidisciplinary Healthcare. Retrieved 2020-11-18.
- Chen, Yan; Yann, Margot Lisa-Jing; Davoudi, Heidar; Choi, Joy; An, Aijun; Mei, Zhen (2017). Kim, Jinho; Shim, Kyuseok; Cao, Longbing; Lee, Jae-Gil; Lin, Xuemin; Moon, Yang-Sae (eds.). "Contrast Pattern Based Collaborative Behavior Recommendation for Life Improvement". Advances in Knowledge Discovery and Data Mining. Lecture Notes in Computer Science. Cham: Springer International Publishing: 106–118. doi:10.1007/978-3-319-57529-2_9. ISBN 978-3-319-57529-2.
- Conboy, Marie (2019-10-15). "Report reveals 30 per cent of Canmore homes owned by non-permanent residents". Bow Valley Crag & Canyon. Retrieved 2020-11-18.
- Rolheiser, Duane. "Blackfalds, Sylvan Lake, and Red Deer County team up with City of Red Deer to attract employers". www.todayville.com. Retrieved 2020-11-18.
- City of Peterbourough. "Regional Economic Development Profile" (PDF). City of Peterborough. Retrieved November 17, 2020.
- Middlesex County. "Immigration and Languages". Invest in Middlesex County.
- "TEDC". TEDC. Retrieved 2020-11-18.
- City of Oshawa. "2015 Community Profile" (PDF). City of Oshawa. Retrieved Nov 16, 2020.
- Sebastine, Asogwa (2014-08-01). "Poverty Odds and Household Expenditure Patterns in Nigeria". University of Nigeria Nsukka. Retrieved 2020-11-18.