In this episode of The Dashboard Effect Podcast, host Brick Thompson and Blue Margin’s Director of Solutions, Landon Ochs, dive into the nuances of semantic models and the bronze, silver, and gold layers within a data lake house. They explain the roles of each layer, how data is transformed at each stage, and why collaboration with business users is essential for accurate and actionable BI reporting.

Through this episode, you'll learn why different layers serve different purposes—from storing raw data to pre-joining tables for efficiency to creating finalized data ready for reporting. They also discuss how the semantic model is designed to simplify complex data relationships, making reporting easier for non-technical users.

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Blue Margin increases enterprise value for PE-backed, mid-market companies by serving as their fractional data team. We advise on, build, and manage data platforms. Our strategy, proven with over 300 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.

For a free, downloadable copy click https://bit.ly/3RmBGWQ, or buy a hardcopy or Kindle version on Amazon (https://amzn.to/3UTvTLm).

Get more episodes of The Dashboard Effect podcast on your favorite podcast app or at https://podcast.thedashboardeffect.com/

Visit Blue Margin's library of additional BI resources here: https://bit.ly/3fwNmcg

In this episode of The Dashboard Effect, Brick chats with Landon, Director of Solutions at Blue Margin, about a surprising challenge faced while extracting data from NetSuite. Despite NetSuite’s well-developed API, handling massive datasets proved problematic. Landon shares how they solved the issue using an unexpected solution—the ODBC connector.

They discuss the limitations of the API, how ODBC outperformed it for large data sets, and the unconventional yet effective workaround using a virtual machine. If you’re working with NetSuite or other cloud-based systems and experiencing similar challenges, you’ll want to hear this episode.

Key Takeaways:

• Why NetSuite’s API struggled with millions of records
• How ODBC became the unexpected hero for pulling large data sets
• The importance of getting creative with data extraction

Listen in for tips and insights that can help with your own data pipeline challenges!

In this episode, Brick Thompson and Caleb Ochs discuss the critical role of good data models in making business intelligence tools like Power BI efficient and scalable. They cover the pitfalls of poor data models, including delayed reporting and data category issues, and offer insights into designing flexible, transactional-level data models that can grow with your business needs.

Key Moments:

- Example of a Bad Data Model
- The Benefits of Transactional-Level Data
- Why Developers Take Shortcuts
- Common Data Model Mistakes


Blue Margin increases enterprise value for PE-backed, mid-market companies by serving as their fractional data team. We advise on, build, and manage data platforms. Our strategy, proven with over 300 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.

For a free, downloadable copy click https://bit.ly/3RmBGWQ, or buy a hardcopy or Kindle version on Amazon (https://amzn.to/3UTvTLm).

Get more episodes of The Dashboard Effect podcast on your favorite podcast app or at https://podcast.thedashboardeffect.com/

Visit Blue Margin's library of additional BI resources here: https://bit.ly/3fwNmcg

In this episode of The Dashboard Effect, hosts Brick and Caleb discuss the challenges and best practices for rolling out Business Intelligence (BI) solutions to large audiences. With a real-life example of implementing BI across 600 retail locations, they dive into how to navigate common pitfalls, ensuring user adoption and success. Whether your rollout is for a small team or a large enterprise, these insights will help you optimize your process.

Blue Margin increases enterprise value for PE-backed, mid-market companies by building and managing their data platforms. Our strategy, proven with over 250 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.

In this episode of The Dashboard Effect, hosts Brick and Caleb explore the essential steps to building efficient and reliable data pipelines. They discuss the critical factors in moving data from transactional systems to data lakes, highlight the importance of simplifying pipelines, and share practical strategies for handling pipeline failures, API connections, and ensuring scalability. Whether you're a data professional or a business leader looking to enhance your data processes, this episode offers valuable insights to guide you.

Enjoyed the episode? Hit Like, subscribe to our channel, and tap the bell icon to stay updated on the latest insights into data analytics and business intelligence.

Don't miss out on expert tips to help you optimize your data strategies!

Blue Margin increases enterprise value for PE-backed, mid-market companies by building and managing their data platforms. Our strategy, proven with over 250 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.

For a free, downloadable copy click https://bit.ly/3RmBGWQ, or buy a hardcopy or Kindle version on Amazon (https://amzn.to/3UTvTLm).

Get more episodes of The Dashboard Effect podcast on your favorite podcast app or at https://podcast.thedashboardeffect.com/

Visit Blue Margin's library of additional BI resources here: https://bit.ly/3fwNmcg

In this episode of The Dashboard Effect, Brick and Caleb explore the pressing challenges of assembling and sustaining a robust data team in today’s volatile tech landscape. With tech turnover rates on the rise, developing strategies to attract and retain top talent is more critical than ever. They share insights on the importance of redundancy, effective documentation, and keeping solutions simple to ensure your data team stays strong. Join us to learn practical approaches to future-proofing your data team.

Subscribe to our channel for more insights on data analytics and team management.

Blue Margin increases enterprise value for PE-backed, mid-market companies by serving as their fractional data team. We advise on, build, and manage data platforms. Our strategy, proven with over 300 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.

For a free, downloadable copy click https://bit.ly/3RmBGWQ, or buy a hardcopy or Kindle version on Amazon (https://amzn.to/3UTvTLm).

Get more episodes of The Dashboard Effect podcast on your favorite podcast app or at https://podcast.thedashboardeffect.com/

Visit Blue Margin's library of additional BI resources here: https://bit.ly/3fwNmcg

In this episode of The Dashboard Effect Podcast, hosts Brick and Caleb dive into the often-overlooked advantages of outsourcing data platform management. They explore why mid-market companies should consider this option, discussing the challenges of in-house management, the importance of expertise in data integrity and security, and how outsourcing can free up your team to focus on core business analytics.

Whether you're a growing company struggling with data management or an executive looking to optimize your data strategy, this episode offers valuable insights into making your data work for you without the headaches of platform management.

Blue Margin increases enterprise value for PE-backed, mid-market companies by serving as their fractional data team. We advise on, build, and manage data platforms. Our strategy, proven with over 300 companies to-date, expands multiples through data transformation, as presented in our book, The Dashboard Effect.

For a free, downloadable copy click https://bit.ly/3RmBGWQ, or buy a hardcopy or Kindle version on Amazon (https://amzn.to/3UTvTLm).

Get more episodes of The Dashboard Effect podcast on your favorite podcast app or at https://podcast.thedashboardeffect.com/

Visit Blue Margin's library of additional BI resources here: https://bit.ly/3fwNmcg

Welcome to The Dashboard Effect Podcast! In this episode, Brick and Caleb discuss the world of generative AI analytics, reflecting on the initial excitement and the current state of the technology. They share their insights and personal experiences, examining the progress made since the Microsoft Build Conference 2023 and evaluating whether generative AI tools are living up to their expectations.

Visit our website https://BlueMargin.com for more insights and resources.

Episode Highlights:

- Initial Excitement and High Expectations: Brick and Caleb reminisce about the excitement surrounding the Microsoft Build Conference 2023 and the potential they saw in tools like ChatGPT and Microsoft's Power BI Copilot.
- Current State of Generative AI: Despite the initial hype, Brick shares his observations on the current limitations of generative AI tools, particularly in producing reliable and accurate results.
- Data Quality and Reliability: Caleb highlights the ongoing challenge of ensuring high-quality data input to achieve meaningful outputs, emphasizing the old adage, "garbage in, garbage out."
-Machine Learning vs. LLMs: The conversation differentiates between traditional machine learning techniques and the newer large language models, exploring their respective strengths and weaknesses.
- User Interface and Semantic Layer: The importance of building effective data models and semantic layers is discussed, with real-world examples of the complexities involved.
- Future of AI: Brick and Caleb speculate on the future developments in AI, including the possibility of re-architecting LLMs and the timeline for achieving truly reliable generative AI tools.

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Watch the episode here: https://youtu.be/D5_WqaI_LNo

Thanks for watching, and we'll see you in the next episode of The Dashboard Effect Podcast!