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

<p> </p> <p>This week we bring you a special episode of the Data Futurology podcast, featuring the keynote panel from our OpsWorld conference earlier this year featuring guests at different levels of data maturity. They shared their stories of the journey to enabling and unlocking the true value of data self-service.. </p> <p>The panel featured Kate Carruthers, Chief Data &amp; Insights Officer, UNSW Sydney. She shared the university&#39;s experience, which has had a mature data environment for several years. At the other end of the table was Conor O&#39;Neill, Head of Data Science, Compare The Market. He represented an organisation that is rapidly addressing a lack of data maturity across the organisation.</p> <p>The third person on the panel was Arvee Manaog, Head of Enterprise Systems, Data &amp; Information Management, and Integration, EG Australia. She shared insights on how to effectively get organisation-wide buy-in, and then effectively educate all stakeholders on how to effectively use self-service.</p> <p>The panel was wide-ranging, starting off with a discussion around best practices in data self-service, before moving on to an in-depth summary of how to effectively approach self-service from each level of data maturity.</p> <p>There was also a robust Q &amp; A session at the end of the panel. Through the robust audience questions, the panellists discussed strategies for ensuring data trustworthiness in self-service. They also discussed how ROI is best measured with self-service data practices.</p> <p>Businesses of all sizes that want to maximise data value should look at effective self-service approaches. This panel provides invaluable insights into both getting started and continuing to innovate once the data environment has been fully modernised and transformed.</p> <p>Enjoy the show! </p> <p>Thank you to our sponsor,<a href="https://talentinsights.com.au/"> Talent Insights Group</a>!</p> <p>Join us for our next events Advancing AI and Data Engineering Sydney (5-7 September):</p> <p><a href="https:/