Andrew Madson
Dremio | Data Science, AI, and Analytics Evangelist
San Francisco, California, United States
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Andrew Madson is a Data Analytics, Data Science, and AI Evangelist at Dremio, where he leverages his extensive expertise in data analytics, machine learning, and artificial intelligence to drive innovation and educate the wider community. With a strong academic background, including multiple master's degrees in data analytics and business management, Andrew deeply understands the technical intricacies involved in data-driven decision-making.
Andrew's career is marked by impactful roles at prominent organizations. He served as the Senior Director of Data Analytics & AI at Arizona State University, where he streamlined analytics processes and significantly enhanced team productivity. At LPL Financial, he played a pivotal role in creating a substantial strategic budget and led enterprise-wide initiatives. His tenure at MassMutual involved leading data projects across diverse teams and countries, managing a significant budget, and leading data privacy initiatives.
Andrew's technical ability is further exemplified by his experience at JP Morgan Chase, where he led data analytics, machine learning, and AI projects for Global Wealth Supervision. He spearheaded innovative AI solutions, including a real-time communication monitoring system and predictive models for advisor retention. His ability to automate processes and lead diverse teams of technical experts underscores his leadership and technical acumen.
In addition to his technical expertise, Andrew is a seasoned public speaker and educator. He has served as an adjunct instructor and faculty member at various universities, including Trine University, Grand Canyon University, Southern New Hampshire University, Western Governors University, Maryville University, and Indianapolis University. His ability to communicate complex technical concepts in an accessible manner makes him a sought-after speaker and thought leader in the data science community.
Andrew's current role as an Evangelist at Dremio allows him to combine his passion for data science with his exceptional communication skills. He actively engages with the wider community, sharing his knowledge and insights to empower organizations to harness the full potential of their data.
Area of Expertise
Topics
Sub-second Power BI Dashboards Directly on ADLS Storage
Unleash the full potential of your data with our talk, "Sub-second Power BI Dashboards Directly on the Data in Your ADLS Storage Using Dremio." In this engaging discussion, we'll dive into the challenges that arise when using extracts and cubes to accelerate Power BI dashboards and how Dremio, with its data reflections, simplifies the process while preserving consistency.
Traditional methods of accelerating Power BI dashboards often involve the creation of extracts and cubes. While these techniques can enhance query performance, they introduce data preparation, maintenance, and synchronization complexities. The quest for faster dashboards often results in a trade-off between speed and consistency.
Enter Dremio, a game-changer in the world of data acceleration. In this talk, we'll explore how Dremio's approach to data reflections revolutionizes how you create dashboards directly on your data stored in Azure Data Lake Storage (ADLS). Key highlights include:
A comprehensive examination of the complexities and consistency issues associated with extract and cube-based approaches for accelerating Power BI dashboards.
How Dremio's data reflections eliminate the need for extracts and cubes by providing sub-second query performance directly on your data in ADLS.
Real-world examples showcasing how Dremio empowers data professionals to create high-performance dashboards while maintaining data consistency.
The benefits of a simplified and more agile approach to data acceleration resulting in faster insights and reduced overhead.
Join us to discover how Dremio's data reflections can redefine your Power BI dashboard acceleration strategy. Say goodbye to the complexities of extracts and cubes, and embrace a more direct, efficient, and consistent way to access and visualize your data. Take advantage of this opportunity to learn how Dremio can supercharge your analytics workflow.
Building and Scaling Analytics Products
Organizations are increasingly recognizing the value of data-driven decision-making. Simply collecting and storing data isn't enough. To truly harness its potential, businesses need to transform their data into actionable insights and deliver those insights to their end-users through well-designed analytics products.
This presentation will explore the concept of "analytics as a product" and provide a practical framework for building, launching, and scaling analytics products that drive business value.
Key topics will include:
The Product Mindset: Understanding the principles of product management and how they apply to analytics.
Defining Your Target Audience: Identifying the needs and pain points of your end-users and designing solutions that address them.
Building Your Analytics Product: From MVP to full-fledged product, understanding the development lifecycle and key considerations for success.
Data Storytelling: Effectively communicating insights and recommendations to stakeholders through compelling narratives and visualizations.
Scaling Your Product: Strategies for expanding your user base, monetizing your product, and continuously improving its value proposition.
Whether you're a data analyst, product manager, or business leader, this presentation will equip you with the knowledge and tools to successfully build and scale analytics products that deliver real impact for your organization.
**Key Takeaways:**
Attendees will gain a deeper understanding of the "analytics as a product" mindset.
Learn a practical framework for building and scaling analytics products.
Discover strategies for effective data storytelling and communication.
Gain insights into the latest trends and best practices in analytics product management.
Accelerate Your Analytics with SQL Server + Data Lakehouse
Organizations are collecting enormous amounts of structured and unstructured data. This data holds valuable insights, but traditional data warehouses can struggle to handle the volume, variety, and velocity of modern data sets. This presentation will explore how combining SQL Server with a data lakehouse architecture can revolutionize your analytics capabilities.
We'll dive into the concept of a data lakehouse, which brings the best of data lakes and data warehouses together. You'll learn how to leverage SQL Server's robust relational capabilities alongside the scalability and flexibility of a data lake, all while maintaining data quality and governance. We'll discuss how to:
Ingest and store: Efficiently capture and store data from diverse sources, including databases, IoT devices, and cloud applications, in your data lakehouse.
Transform and model: Prepare your data for analysis using familiar SQL Server tools and techniques, ensuring data quality and consistency.
Query and analyze: Leverage the power of SQL Server's query engine, augmented by data lakehouse capabilities, for high-performance analytics and reporting.
Govern and secure: Implement comprehensive data governance and security measures to protect sensitive data and ensure compliance with regulatory requirements.
Whether you're a data engineer, analyst, or business leader, this session will provide actionable insights and strategies to accelerate your analytics initiatives, reduce costs, and unlock the full potential of your data assets. Discover how SQL Server and data lakehouse can empower your organization to make faster, more informed decisions and drive business growth.
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Andrew Madson
Dremio | Data Science, AI, and Analytics Evangelist
San Francisco, California, United States
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