In this episode of Data Matas, host Aaron Phethean and his guest Stéphane Burwash dive deep into what it takes to build a true data-driven culture. Recently promoted to Data Engineering Lead at Potloc, Stéphane shares his thoughts on building trusted analytics, where quality data is at the foundation.  The conversation digs into the hot topics of AI and self-service analytics - and questioning their relevance - as well as the application of modern technologies such as Meltano and BigQuery and "the separation of church and state" in the data space. Not only that but the two touch on the importance of the people element and emphasise the need for open and honest stakeholder management in an organisations journey to data excellence. TakeawaysStéphane started his data engineering journey alone, relying on community support.Building a community is crucial for learning and growth in data engineering.Potloc evolved from a market insights company to a data-driven organization.Navigating data engineering challenges requires asking questions and seeking help.Stakeholder management is essential for successful data projects.Technologies like Meltano and DBT are integral to Potloc's data stack.AI is being leveraged to improve data quality and analytics processes.Self-service analytics can empower users but requires careful governance.Data quality issues often arise from a lack of awareness and communication.The role of a data practitioner is to maintain a big picture perspective.Sound Bites"Ask questions, don't be afraid to learn.""Everybody has been in that position.""We shouldn't be trying to do the custom solution."Chapters00:00Introduction and Background of Potloc04:43Role of a Data Engineer at Potluck06:34Data Sources and Technologies Used09:58Balancing Complexity and Impactful Work15:30Working with BI Analysts and Data Modeling23:46Focus on Data Quality and Maintenance25:42Challenges of Data Quality and Data Integrity36:12The Importance of Stakeholder Engagement41:14The Concept of Self-Serve Analytics43:25The Value of a Holistic Understanding of Data47:14The Role of Data Practitioners48:15Introduction49:24The Value of Online Communities and Asking Questions50:22Overcoming the Fear of Feeling Lost50:48The Generosity of the Data Community52:10Networking and Learning at Meetup Events53:21Building Connections and Getting Insights

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