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Vividata, Canada’s leader in consumer and cross media research, and Manifold Data Mining have partnered to deliver market insights within Manifold’s newly updated Polaris Intelligence platform. Applying collaborative filtering and supervised deep learning techniques to Vividata’s Survey of the Canadian Consumer (SCC) and Consumer Cannabis Study, Manifold has extrapolated the survey to the 6-digit postal code level. […]
We use cutting-edge analytics and technology, and work with leading researchers in Big Data and Data Science. We published a paper in Advances in Knowledge Discovery and Data Mining with York University on using a recommendation system in a novel way. Recommendation systems have been used for job sites and Facebook’s recommended friends system, but have primarily been used in ecommerce and news. This paper looks at recommender systems in healthcare. […]
We will be co-presenting two sessions on December 2, 2019. The first session is a case study featuring Digital Out of Home Programming (i.e. digital billboards), how a client was able to find and reach specific audiences, e.g. dog owners who spend $200+ a month on pet food and use plug-in air fresheners. They used the targeting module to find the best places and times to advertise. […]
We added the Cannabis data set and a few more from Vividata, including Alcohol, Household Products & Pets, and Real Estate & Home Improvement. This includes variables like frequency of vaping, source of cannabis, and attitudes towards growing cannabis. One of our core strengths is high quality, granular data. We have over 10,000 variables at the postal code level and are always looking to add more. The next release will see a few more data sets from Vividata loaded onto Polaris Intelligence. […]
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