TDW Insights

Blogs, Tutorials, and Case Studies made for data professionals

Provenance in COVID-19 Data

Video demonstration of our process for data provenance and capturing data directly from the source.
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The ThinkData logo, deconstructed to show social distancing

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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The Importance of Mental Closeness While Social Distancing

Working from home? So is the team at TDW. We want to do our part to flatten the curve by social distancing so here's how we facilitate mental closeness.
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5 ways to keep productivity up while working remotely

Working remotely shouldn’t mean sacrificing productivity. Here are some tried and true methods to get the most out of working from home.
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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 and ThinkData Works are creating robust business data products

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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A doctored example of a real offer letter from ThinkData Works

(Re): Softbear Developer at ThinkData Works

ThinkData Works provides the best data – through our platform and to our new employees. Take a look at our offer letter to see just a few of the perks.
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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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ThinkData works at TMLS explaining entity resolution

ThinkData on Entity Resolution at TMLS 2019

See Data Scientists Hoyoung Jang and Cheng Lin speak on scaleable entity resolution at TMLS 2019.
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The difference between data cleansing and data enrichment, and the value of both

The Difference Between Data Cleansing and Data Enrichment

There are plenty of steps between raw data and data that's ready for modeling & analysis – here's difference between data cleansing and data enrichment.
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#Womenintech is more than just a hashtag

Creating equal opportunities for women in tech must start early and continue throughout their careers to ensure diversity and equality in the workforce.
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