# #237: Evolving data culture to deliver sustainable business impact, with Niall Keating, General Manager for Technology Data Platforms, Sportsbet

Page: https://stenobird.com/podcast/data-futurology-leadership-and-strategy/237-evolving-data-culture-to-deliver-sustainable-business-impact-with-niall-keating-general-manager-for-technology-data-platforms-sportsbet
Text version: https://stenobird.com/podcast/data-futurology-leadership-and-strategy/237-evolving-data-culture-to-deliver-sustainable-business-impact-with-niall-keating-general-manager-for-technology-data-platforms-sportsbet.md
Podcast: [Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science](https://stenobird.com/podcast/data-futurology-leadership-and-strategy)
Published: 2023-06-21T00:50:16+00:00
Episode link: https://podcasters.spotify.com/pod/show/datafuturology/episodes/237-Evolving-data-culture-to-deliver-sustainable-business-impact--with-Niall-Keating--General-Manager-for-Technology-Data-Platforms--Sportsbet-e2602s9
Audio file: https://anchor.fm/s/3fab060/podcast/play/72403273/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2023-5-21%2F96f9c83a-8148-faf5-99ab-6ecbba380215.mp3
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Duration seconds: 1628

## Resource

Niall Keating shares Sportsbet's journey from fragmented data silos to a unified, scalable machine learning ecosystem. He demonstrates how aligning data products with long-term company strategy prevents the trap of unsustainable 'quick wins.'

## Highlights
- Main idea: Avoid the 'quick win' trap by prioritizing long-term architectural flexibility over immediate, isolated project successes
- Practical takeaway: Use 'two-way door' decision-making to evaluate the long-term implications of proprietary technology and data movement
- Failure mode: Incremental data copying (silos) leads to slow time-to-market and high reconciliation costs during scaling
- Practical takeaway: Link data product evolution directly to core company visions, such as customer safety and financial accuracy
- Main idea: Effective data culture requires a three-pillar strategy focusing on people (capacity), process (governance), and technology (modern platforms)

## Topics

Data Strategy, Machine Learning Production, Data Engineering, Data Governance, Predictive Analytics, Data Culture, Scalable Architecture, Responsible AI

## Chapters
- 3:00 — The Sportsbet Data Story: Introduction to Sportsbet's data journey and the importance of establishing foundational data use cases.
- 5:00 — Scaling Machine Learning: An overview of moving from basic reporting to having over 20 production machine learning models.
- 7:00 — Foundational Data Use Cases: The necessity of getting the basics right, including financial reporting and quantitative analytics for product pricing.
- 9:00 — Data for Social Responsibility: How data infrastructure supports the global strategy of implementing safer gambling practices.
- 13:00 — The Evolution of Data Platforms: A retrospective on the transition from a corporate data warehouse to a modern, distributed data architecture.
- 15:00 — The Cost of Data Silos: Analyzing how fragmented data copies create technical debt and slow down organizational agility.
- 21:00 — Predictive Intervention Models: Using deep learning to identify risky behaviors and trigger automated, tiered safety interventions.

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## Transcript

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