Stenobird

Episode

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

Podcast
Data Futurology - Leadership And Strategy in Artificial Intelligence, Machine Learning, Data Science
Published
Jun 7, 2023
Duration seconds
2392
Processing state
processed
Canonical source
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
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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Markdown
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Summary

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.

Topics

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

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

Chapters

  1. 1:00 Introduction to the Panel: Introduction of the panelists from UNSW, Compare The Market, and EG Australia.
  2. 4:00 Cloud Migration and Security: Discussing the benefits of moving to cloud platforms to enable secure, drag-and-drop data access.
  3. 7:00 The COE Squared Operating Model: Implementing a hybrid model of a Center of Excellence and a Center of Enablement.
  4. 10:00 Standardizing Data Definitions: The importance of agreed-upon definitions and data quality in operational reporting.
  5. 13:00 Transitioning from Power BI to Data Science Tools: Moving beyond basic reporting to productionizing tools for resident data scientists.
  6. 16:00 Challenges in Metric Modeling: Addressing the issues with unmodeled metrics and inefficient business request processes.
  7. 19:00 Tailoring Analytics to User Literacy: Recognizing that different users require different levels of data depth and complexity.