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Blog

Blogs, tutorials and case studies from our product experts and industry thought leaders to learn how to get the most out of your data.

Elections in 2020: the Role of Data in Politics

Alejandro García Magos, PhD. Lecturer of Political Science at the University of Toronto, provides his analysis on big data in politics and elections.

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Data Suggests Peru's Poorest Workers Less Likely to Contract COVID-19

In this blog post, we host a story by Parmisse Mendendez Limo, who provides an analysis on why Peru's poorest workers may be less likely to get COVID-19.

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Data Investigation: How Green is Toronto?

Cheryl To, Data Scientist, investigates whether Toronto has adequate green space for its citizens, given the restrictions under pandemic distancing rules.

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Lower income individuals may be at higher risk to contract COVID-19

In this blog post, we host a story from the Institute of Design-Driven Analytics by Neil Gonputh, who digs into the link between income and COVID-19 rates.

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Predictive Models: More Data, Better Insights on COVID-19

Data is the key to building accurate and robust models to help us predict trends and outcomes – models which have shaped our global response to COVID-19.

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The Roche Data Science Coalition: Collaboration in Crisis

As the pandemic continues to evolve, we continue to collaborate with the Roche Data Science Coalition to better understand and combat the virus.

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ThinkData and Ownr: How to Grow your Small Business Using Data

Written in collaboration with Ownr, an RBC Ventures company, we highlight the importance of leveraging data to scale your venture.

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Building A Stronger Supply Chain With Data

COVID-19 has exposed many faults in big supply chains – organizations need to leverage more data from more sources to stay informed and predictive.

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Using Data to Combat COVID-19

The psychology behind the resistance against social distancing, and how data scientists can leverage data on COVID-19 to help during a global pandemic.

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NLP and ML to Neutralize Human Error in Data

Discover the enterprise use case for deep learning entity matching with ThinkData's entity resolution tool kit that connects disparate data.

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How to Solve the Biggest Challenges in Enterprise AI

Leveraging a holistic data strategy helps your organization avoid the common pitfalls of AI adoption in the enterprise. Success depends on six pillars...

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MaRS & ThinkData Apply Machine Learning to Ontario Businesses

The MaRS team is using ThinkData’s technology to link records across multiple sources to understand Canadian start-up and scale-up activity.

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The Data Behind Love #ValentinesDay

A data analysis on how business are tapping into social media data in order to fuel their holiday marketing initiatives to increase sales.

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Refined Data is the Key to Train Machine Learning

Refined, standardized data is the key to train machine learning in order to achieve meaningful results.

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What do campaign contributions tell us about the federal election?

Use public sources of data to better understand the electoral process and apply data science to examine the socio-economic profiles of contributors.

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Landgrid.com Introduces USPS Nationwide Vacancy Data

Landgrid.com introduces USPS Nationwide Residential and Vacancy Data, the first-time that vacancy data has ever been released at the parcel level.

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Water Data Provides Ground-Level Insight into Business Risk

ThinkData's data partner, WatrHub, provides insight into water infrastructure across North America to mitigate water infrastructure problems early.

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Is Your Data Ready for AI?

There is a major disconnect between the possibilities that AI & ML are presenting and the operational readiness of most organization’s data.

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Entity Resolution: Linking Trade Data to Company Information

Data is the key to unlocking opportunities. By enriching internal data with external data, companies gain actionable information to grow their business.

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