Our Blog What we're up to, what we're seeing, and what we're thinking
Last Chance for Retail Conference Early-Bird Tickets
DX3 is Canada’s biggest retail, marketing, and technology event. 2020’s conference will be held on March 10 and 11 at the Metro Toronto Convention Centre. We will be exhibiting at booth #115, and we hope to see you there! They will be extending early-bird pricing by 1 week. DX3 is also providing 25 free Full-Access tickets to charities! Send them an email at info@dx3canada.com […]
Release Notes Jan 20, 2020
In the latest release, we added functionality to the Data Mining module, improved stability across the platform, and enhanced the ability to save and load maps. We created a simple Frequently Asked Questions (FAQ) page. We connected the Data Mining module to the Polaris database, which means users can now save files on the cloud and work on them later. We enhanced the stability and performance of the Map Layers tab. We added tabs to the Data Mining module to make it a little more user-friendly. […]
How Does a Store Choose Where to Open a New Location?
It’s not easy to choose where to open a new retail location, let alone a new supermarket. This article from the Toronto Star covers the closing of T & T’s Cherry Street location as well as some considerations retailers, especially sophisticated retailers like Longo’s, make when they evaluate new locations. Polaris Intelligence is perfect for this kind of use case. Strategists can use Polaris to evaluate neighbourhood demographics […]
Release Notes Dec 15, 2019
Santa’s elves have been hard at work fixing some issues and adding a couple exciting new features. For example, the “Pre-defined Markets” tab has been added to the Mapping Centre. This lets you load up these markets on the map and compare them to your custom trade areas. We added the ability to save and load map layers and combinations, including Heat Map layers and POI Maps. This means you can save a map that has multiple trade areas, a Heat Map, and Points of Interest, and reload that map. […]
Data and AI Marketing Conference
We presented and had a booth at the Data and AI Marketing conference. We co-presented with Outfront Media about finding and reaching specific audiences with a small budget, showing many data visualizations including heat maps, lift charts, and geo-fences. We also co-presented with Pat Pellegrini, the CEO of Vividata on cannabis usage. Vividata’s robust surveys show that social acceptability for Cannabis usage has not changed meaningfully since legalization. […]
Vividata Partnership for New Analytics Capabilities
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. […]
Publication in Data Mining Journal
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. […]
Presenting at the Data & AI Marketing Conference (Dec. 2-3, 2019)
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. […]
Sep 30, 2019 Release Notes
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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