Hosted by Andrew Austin · 🇺🇸 US · EN · 12 episodes
Established thought leaders with verified media credentials.
Transforming our heavy reading load into easy listening. For each class topic, the relevant chapter content is uploaded to NotebookLM, which generates a dynamic audio discussion between two AI hosts. This serves as an alternate learning method for auditory learners or anyone wanting to reinforce the material on the go. Use these AI-powered breakdowns to better understand the nuances of Business Intelligence alongside your regular study routine.Created for students at Lakehead University in BUSI3013: Business Intelligence for Winter 2026.
Andrew Austin hosts Business Intelligence Class Audio Overviews (BUSI3013), a education show with 12 episodes published.
This episode provides a comprehensive technical roadmap for building a professional Business Intelligence (BI) tool from scratch, transitioning from a blank Google Colab notebook to a live, interactive Streamlit web appl
Show notesThis episode provides a comprehensive overview of Big Data and Data Lakes, framing them as the structural foundation for modern data-driven industries. The discussion centers on the Seven V's of big data—volume, variety,
Show notesThis podcast transcript provides a conceptual roadmap for implementing a data warehouse, using the Zagi retail company as a real-world case study to move from basic SQL table creation to the deployment of executive dashb
Show notesIn this deep dive, we break down the technical roadmap for constructing a live, four-stage AI-powered sentiment analysis pipeline from scratch. Acting as analysts for a regional tourism board, students learn to navigate
Show notesIn this episode, we dive into the "architecture of insight" by exploring the fundamental methodologies used to design analytical databases. We break down the core concepts of dimensional modeling, a specialized design te
Show notesThis chapter explores the fundamental concepts of data warehousing, emphasizing its role as a separate analytical data store designed to support complex decision-making through trend and pattern analysis. It highlights k
Show notesThis analysis examines the shift from deterministic software to probabilistic Large Language Models (LLMs). It details core mechanics like tokenization, vector embeddings, and Transformer self-attention. The text explore
Show notesThis analysis examines the shift from deterministic software to probabilistic Large Language Models (LLMs). It details core mechanics like tokenization, vector embeddings, and Transformer self-attention. The text explore
Show notesChapter 4 explores the descriptive analytics continuum, focusing on data warehousing, business reporting, and visualization. It defines the data warehouse as an integrated repository of historical data that serves as the
Show notesChapter 3 defines data as the essential "raw material" for business intelligence, emphasizing that it must be made "analytics ready" through rigorous preprocessing, cleaning, and transformation. It provides a taxonomy of
Show notesChapter 2 explores the essentials of Artificial Intelligence (AI), its major technologies, and its role in supporting business decision-making. It details key drivers, benefits, and foundational technologies, including m
Show notesThis chapter explores computerized support for managerial decision-making in complex, rapidly changing environments. It traces the evolution from early Management Information Systems to modern Business Intelligence, Anal
Show notesSponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
To pitch Business Intelligence Class Audio Overviews (BUSI3013), visit https://podcasters.spotify.com/pod/show/andrew80 for contact information, then craft a tight one-paragraph hook that ties your expertise to a gap in their recent education coverage.
Business Intelligence Class Audio Overviews (BUSI3013) is hosted by Andrew Austin. The show is categorised under education and has published 12 episodes.
Business Intelligence Class Audio Overviews (BUSI3013) has published 12 episodes.
Business Intelligence Class Audio Overviews (BUSI3013) regularly covers education. It sits in the education category.
Business Intelligence Class Audio Overviews (BUSI3013) is accessible for guests with genuine education expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
Business Intelligence Class Audio Overviews (BUSI3013) hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of Business Intelligence Class Audio Overviews (BUSI3013) average 17 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates Business Intelligence Class Audio Overviews (BUSI3013)'s guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 13 days ago.
