# #235: Maximising the productivity of the data-led enterprise with UNSW, EG Australia and Compare the Market

Page: https://stenobird.com/podcast/data-futurology-leadership-and-strategy/235-maximising-the-productivity-of-the-data-led-enterprise-with-unsw-eg-australia-and-compare-the-market
Text version: https://stenobird.com/podcast/data-futurology-leadership-and-strategy/235-maximising-the-productivity-of-the-data-led-enterprise-with-unsw-eg-australia-and-compare-the-market.md
Podcast: [Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science](https://stenobird.com/podcast/data-futurology-leadership-and-strategy)
Published: 2023-06-07T00:35:23+00:00
Episode link: https://podcasters.spotify.com/pod/show/datafuturology/episodes/235-Maximising-the-productivity-of-the-data-led-enterprise-with-UNSW--EG-Australia-and-Compare-the-Market-e25bsfa
Audio file: https://anchor.fm/s/3fab060/podcast/play/71741354/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2023-5-7%2F39b7f76f-f2b7-261b-d94d-f7e144bd7463.mp3
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Duration seconds: 2392

## Resource

A panel of data leaders from UNSW, Compare The Market, and EG Australia shares strategies for implementing successful data self-service. The discussion contrasts approaches for organizations at varying levels of data maturity, from establishing foundational governance to scaling advanced analytics.

## Highlights
- Main idea: Successful self-service requires balancing high-level data science exploration with simple, accessible reporting for non-technical users
- Practical takeaway: Drive adoption by identifying manual 'Excel cobbling' processes and proactively automating them for business users
- Failure mode: Avoid the 'proliferation of dashboards' trap where embedded analytics teams create high volumes of low-usage, unmonitored reports
- Strategic advice: Prioritize data governance and standardized definitions before building new cloud platforms to ensure long-term scalability
- Measurement strategy: Quantify ROI by linking specific data products to existing business KPIs and celebrating qualitative wins through internal advocacy

## Topics

Data Self-Service, Data Governance, Data Maturity, Cloud Data Warehousing, Business Intelligence, Data ROI, Data Democratization, Enterprise Data Strategy

## Chapters
- 1:00 — Introduction to the Panel: Introduction of the panelists from UNSW, Compare The Market, and EG Australia.
- 4:00 — Cloud Migration and Security: Discussing the benefits of moving to cloud platforms to enable secure, drag-and-drop data access.
- 7:00 — The COE Squared Operating Model: Implementing a hybrid model of a Center of Excellence and a Center of Enablement.
- 10:00 — Standardizing Data Definitions: The importance of agreed-upon definitions and data quality in operational reporting.
- 13:00 — Transitioning from Power BI to Data Science Tools: Moving beyond basic reporting to productionizing tools for resident data scientists.
- 16:00 — Challenges in Metric Modeling: Addressing the issues with unmodeled metrics and inefficient business request processes.
- 19:00 — Tailoring Analytics to User Literacy: Recognizing that different users require different levels of data depth and complexity.

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## Transcript

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