Privacy and data protection are daunting issues for businesses and consumers alike, bringing together legislation, ethics, operating practices and technology competence. So can data science help to resolve the risk assessment challenges and identify problem areas? Dr Maurice Coyle, chief data scientist at Truata, spoke to DataIQ about how it is tackling the issue.
Maurice Coyle (MC): I would actually say data science and data governance make a perfect team - in our company, at least. Our data governance team decides “what” needs to be done with our data and our customers’ data in order to achieve compliance with data protection regulations, and the data science team decides “how” that is done.
The role of data science in Truata is really interesting because it touches on all areas of the company. We work with privacy, legal and product teams to define what our products need to do, then we build the algorithms and prototypes that form the basis of these products. When preparing prototypes, we work closely with our world-class data engineers to make them production-ready at scale. And we also work alongside our sales team - we participate in customer meetings to help solve their problems.
MC: In short, everyone! Our legal and privacy teams, data science, product, engineering and infrastructure teams, sales, marketing and finance teams - they all play a part in our product development efforts. We have great people in all areas of the company who are top of their respective fields, and when building products like Truata Calibrate, our new privacy risk assessment software solution, there’s a huge amount of collaboration across the different functions. This results in products that not only are we incredibly proud of, but they solve real problems better than anything else that’s available on the market.
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