Shane joins in a role that partners with Monte Carlo’s customers on their data strategy and operations, to realize the maximal value from initiatives including data quality, while evangelizing the growing data observability category.
Prior to Monte Carlo, Shane was the SVP Data & Insights at The New York Times, leading 150+ employees across data science, analytics, governance and data platforms. Under his leadership, Shane expanded the team into areas like applied machine learning, experimentation and data privacy, delivering research & insights that improved the Times’ ability to draw and retain a large audience and scale the digital subscription business, which grew 10-fold to 8 million subscriptions over this tenure.
Shane Murray has been promoted to senior vice president, Data and Insights. Read more in this note from Mark Thompson.
Data engineers spend 40% of their workweek dealing with incidents relating to poor data quality, which may cost an organization 20% of its revenue.
“The first step to improving data quality and trust is measuring it, starting with the number and type of incidents, and setting baselines on response rates and data downtime,”