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VIDEO: Building a Successful Data-Driven Culture to Boost Business Value
By Carlos Russo • March 16, 2021
Metis President and Co-Founder Jason Moss recently moderated a panel discussion atCDAO (Chief Data and Analytics Officers) Financial Services Live, talking with data and analytics leaders in the financial industry about what it takes to build, cultivate, and make the most of a data-driven company culture. The discussion, called Building a Successful Data-Driven Culture to Boost Business Value, featured Jason in conversation with Ting-Li Lo, Director, Enterprise Portfolio Management at Scotiabank; Kim Prado, Global Head of Client, Banking and Digital Technology at RBC Capital Markets; and Tarun Sood, Head of Data and Analytics at Vanguard.
During their time together, they talked about identifying the successful building blocks for a data-driven culture, what it looks like in practice, and how it needs to extend beyond the internal team and out to the consumer, too.
At Scotiabank, this customer-centricity was recently applied by the analytics team when they used artificial intelligence to identify vulnerable customers at the onset of the COVID-19 pandemic. Ting-Li Lo discussed how the team relied on their strong internal data-drivenness to use multi-channel outreach campaigns to help consumers navigate this period of financial uncertainty.
Hers is just one example of many discussed during the panel. All three panelists touch on this type of customer experience at their respective financial institutions, and they dive into how others can build cultures that improve outcomes for all, internally and externally.
Metis Sr. Data Scientist Javed Ahmed recently took part in a panel discussion about The State of AI in Banking during an online Ai4 event. He and the other panelists talked about upskilling, challenges related to COVID-19, and more. Watch the recorded panel discussion here.
Big data is growing exponentially. To keep up with it, data engineering — a discipline focused on collecting, funneling, and organizing big data into accessible data pipelines — is in urgent demand.
Data scientists and other data professionals can fill the gap by extending their capabilities into the world of data engineering with the Data Engineering for Data Scientists Course by Metis Corporate Training. In this course, data science professionals will learn advanced programming, database management, distributed computing, and cloud engineering.
In late July, our Chief Data Scientist Debbie Berebichez hosted a free Training Industry webinar on How to Empower Your Business with Data Literacy. We're happy to share that the recording of the talk is now available on-demand.