Prodago project kickoff

About Us

It's actually all about you!

 

The Why

Just like other great start-up stories, Prodago began in its founder's garage in 2013. Mario Cantin had a vision: help organizations like yours address Data Governance differently and drive more value from it. So, he set out to solve the missing link by launching Prodago.

Mario Cantin, CEO at Prodago
Data Science Team Manager has clear expectations

The Vision

Be the go-to technology partner for organizations wishing to leverage data and analytics to the fullest while limiting their exposure to quality, compliance and ethics risks.

Instead of following a top-down and heavy data governance method involving committees, glossaries, stewards and the likes, Prodago developed something called Lean Data Governance, a bottom-up, context-based and pragmatic approach. By developing a SaaS solution to operationalize this framework, Prodago would connect all the dots between the data and the need for quality, compliance and ethics.  

 

As we fast-forward to today, every organization is trying to apply Advanced Analytics and Artificial Intelligence to solve long-standing business problems. Through consulting with many organizations on lean data governance, Prodago's leadership established that data risks and regulations are not about the data itself but instead formed by their application to solving business problems, including analytics, machine learning and AI. In each case, mitigating the resulting exposure can be achieved through specific sets of operating practices

 

The Mission

Provide executives with the confidence that they are fully aware and in complete control of all their data risks, as they push to apply Advanced Analytics as widely as possible in their organization. 

The upcoming Prodago platform version 2.0 introduces the Lean Data and Analytics Governance Operating Model. It will enable organizations to assess the state of data quality and analytics governance, identify all analytics and AI data risks, and generate a clear roadmap to bridge the gap by putting all required operating practices in place.

 

Enabled with the ability to monitor its implementation and, ultimately, the execution and accountability of the operating practices, each organization will be able to trust that all their data risks are covered. They will be able to confidently increase the speed and breadth of data and analytics applications while trusting that they are in complete control.

Happy Deputy Data Science VP
 

The Prodago Leadership Team

 

Mario Cantin

Chief Executive Officer

Mario Cantin is the founder and Chief Data Strategist of Prodago. Mario has worn many hats in his career: programmer, analyst, architect, DBA, information technology manager, project manager, framework developer, entrepreneur and strategist. Before founding Prodago, Mario has held a variety of data leadership positions with notable companies such as Hydro-Quebec, Cirque du Soleil, Standard Life, National Bank of Canada, Schering, Desjardins, Bell, Gaz Metro, Government of Canada, CSN, FTQ, Alcan and Rogers. A respected expert in his field, Mario is a sought-after speaker and a passionate communicator. 

 

His thought leadership on data governance and data management has left its mark on multiple audiences and influenced key actors over the years. His focus of the last ten years has been Data and Analytics Governance, and more recently, on how to use governance to mitigate the risks created by the pervasive application of Advanced Analytics and Artificial Intelligence. Working with international organizations like Gartner and industry thought leaders, he developed the Lean Data Governance approach and the subsequent Lean Data and Analytics Governance Operating Model.

 

Mario holds a Master in Business Administration (M.B.A.) from HEC Montréal and a B.A. in Mechanical Engineering from École Polytechnique.

33 Prince St., Suite 215, Montreal (QC), Canada, H3C 2M7

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