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Do you know what other teams are up to at your organisation?
Or are you blissfully unaware as you carry on your own work in your own team?
Data science teams tend to work quietly in the background - most of us being introverted - just doing our duty and thinking to ourselves;
“I don’t need to talk to anyone today. As long as I’m doing good work…”
How can a data analytics team align their work with business goals without collaborating with other teams - namely the marketing team?
You don’t need to do all the talking. But you will need to do some listening.
Brian’s Role as a Data Analytics Leader at Loyalty New Zealand
Brian Ferris is the Chief Data, Analytics and Technology Officer at Loyalty New Zealand. Launched in 1996, Loyalty NZ is New Zealand’s expert on customer loyalty. They specialise in using big data to help NZ businesses know more about what their customers want from them, and how they can best deliver it. They’re most famous for the Fly Buys programme, with over 2.4 million cardholders across 74% of New Zealand households, and partners with 40 industry-leading brands.
At Loyalty NZ, Brian is championing a high performing agile culture and reinventing Loyalty D&A and Tech with new platforms and modern technologies. To date, they have decommissioned three of the four on-prem legacy solutions and completed a full migration to the cloud in March 2022. In addition, they have re-organised the delivery into an agile model, increasing throughput, reliability and team retention.
Brian has been working in Information Technology for since 2000 - for 22 years. He spent 9 years in IT consulting before moving to the client side. He has held BI Architect and Design roles with European Central Bank, British American Tobacco, and Heineken before becoming a Director of Data & Analytics EMEA at Nike. Prior to that, Brian was working in supply chain operations.
In this exclusive analytics podcast episode, Brian shares:
If you are a data analytics team leader looking to encourage partnership and collaboration among your team and the marketing team, this is the episode you do not want to miss out on.
By Jason Tan5
1313 ratings
Do you know what other teams are up to at your organisation?
Or are you blissfully unaware as you carry on your own work in your own team?
Data science teams tend to work quietly in the background - most of us being introverted - just doing our duty and thinking to ourselves;
“I don’t need to talk to anyone today. As long as I’m doing good work…”
How can a data analytics team align their work with business goals without collaborating with other teams - namely the marketing team?
You don’t need to do all the talking. But you will need to do some listening.
Brian’s Role as a Data Analytics Leader at Loyalty New Zealand
Brian Ferris is the Chief Data, Analytics and Technology Officer at Loyalty New Zealand. Launched in 1996, Loyalty NZ is New Zealand’s expert on customer loyalty. They specialise in using big data to help NZ businesses know more about what their customers want from them, and how they can best deliver it. They’re most famous for the Fly Buys programme, with over 2.4 million cardholders across 74% of New Zealand households, and partners with 40 industry-leading brands.
At Loyalty NZ, Brian is championing a high performing agile culture and reinventing Loyalty D&A and Tech with new platforms and modern technologies. To date, they have decommissioned three of the four on-prem legacy solutions and completed a full migration to the cloud in March 2022. In addition, they have re-organised the delivery into an agile model, increasing throughput, reliability and team retention.
Brian has been working in Information Technology for since 2000 - for 22 years. He spent 9 years in IT consulting before moving to the client side. He has held BI Architect and Design roles with European Central Bank, British American Tobacco, and Heineken before becoming a Director of Data & Analytics EMEA at Nike. Prior to that, Brian was working in supply chain operations.
In this exclusive analytics podcast episode, Brian shares:
If you are a data analytics team leader looking to encourage partnership and collaboration among your team and the marketing team, this is the episode you do not want to miss out on.