In today's data-driven world, earning the Tableau Certified Data Analyst credential signals your ability to connect, analyze, and communicate insights using one of the industry's leading visualization platforms. This study guide offers practical and comprehensive preparation for the certification exam, with walk-throughs, best practices, vocabulary, and example questions to help you build both confidence and competence in Tableau. Written by Christopher Gardner, business intelligence analyst and lead Tableau developer at the University of Michigan, this guide supports first-time test-takers and seasoned users alike. You'll begin with foundational skills in Tableau Prep Builder and Tableau Desktop—connecting, combining, and preparing data—before progressing to building effective visualizations, performing calculations, and applying advanced tools like level-of-detail expressions, parameters, forecasts, and predictive analytics. Read, manipulate, and prepare data for analysis Navigate Tableau's tools to build impactful visualizations Write calculations and functions to enhance your dashboards Share your work responsibly with secure publishing options

In this episode of Hub & Spoken, Jason Foster speaks with Colin Zima, CEO and Co-founder of Omni, a modern business intelligence platform that combines the best of governance and usability. With a background spanning roles at Looker and Google, and two decades as both a data user and builder, Colin brings a unique perspective on the evolution of BI and the real role of AI in shaping its future. They explore why business intelligence remains critical for aligning organisations, how AI is raising the bar for access and self-service, and why semantics and business logic are more important than ever. The conversation challenges the notion that AI will replace dashboards, and instead focuses on how it can enhance accessibility, support different user needs, and empower data teams to work more efficiently. This episode is essential listening for business and data leaders thinking about the future of BI, the practical use of AI, and the role data teams play in delivering real value at speed. Tune in to hear how modern BI is evolving, and what leaders need to know to stay ahead. ****    Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation. 

AI initiatives often stall when data teams can’t keep up with business demand for fast, self-service data. Whether it’s AI agents, BI tools, or business users—everyone needs data, but the pipeline-centric modern data stack wasn’t built for this kind of agility. In this session, learn about how an Instant Data Fabric enables data teams for self-service at AI scale by instantly generating contextual Data Answers from distributed enterprise data for consumption by business teams. Discover how leading organizations are using this new data architecture to accelerate AI adoption without comprising governance and control.

Power BI and Microsoft Fabric have become the data hub for your organisation, providing everyone access to your critical and sensitive data. Whilst incredibly powerful, this also brings significant risk.
Including real world case studies, this session will look at how you can protect your organisation, your data, and yourself, through effective governance, auditing and disaster recovery within Power BI and Fabric.
This will cover effective planning, risk management, license reduction, FinOps, permissions monitoring, audit trails, and more.

Gartner's Analytics and Business Intelligence (ABI) Bake-Off showcases the capabilities of three vendors side-by-side on stage using live scripted demonstrations. Join this roundtable to discuss the ABI Bake-Off with your peers. How did key features compare in action? What were the main strengths and weaknesses of the platforms? Did the vendors change your mind about their products?

Analytics is experiencing another monumental change. Just as visual drag and drop BI tools and augmented insights led to changes in analytics delivery, we now experience conversational interfaces, automated workflows and AI agents that cause us to rethink how analytics will be done. Join this session to learn the new technologies that are making an impact and how this will affect plans for future investment in analytics tools, platforms and solutions.

Poor governance of reports, data, and ETL leads to significant hidden costs in most organizations. Companies are spending excessive amounts on database and BI usage, while at the same time BI end user experience is suffering and engagement is low. We'll look at the top 6 ways companies waste money in these areas and how to fix them.

Rapid changes demand innovative decision-making tools beyond traditional methods. Businesses are turning to AI, BI, and data science to gain a competitive edge. The perfect blend of these technologies can be a true differentiator.

- Take a quick look at what to expect from this session
- Challenges in data and analytics today
- Unlocking the power of AI, BI, and data science
- The transformative role of AI-powered self-service BI platforms
- Live demos of next-generation analytics in action

Learn how these innovations can drive better decisions to deliver transformative business outcomes.

Metadata, data quality and data observability tools provide significant capabilities to ensure good data for your BI and AI initiatives. Metadata tools help discover, and inventory your data assets. Data quality tools help business users manage their data at sources by setting rules and policies. Data observability tools give organizations integrated visibility over the health of data, data pipeline and data landscape. Together the tools help organizations lay good foundation in data management for BI and AI initiatives.

Modernize your analytics capabilities by identifying the products that best meet your needs. See side-by-side, scripted demonstrations of three leading vendors: Strategy, Oracle and Tableau. What are the key features to consider and how do they compare in action? What are the main strengths and weaknesses of these vendors? What innovations are coming?

Join us to learn how the Schwarz Group, the parent company of Lidl and Kaufland and the 4th largest retailer worldwide, leverages containerized Strategy in STACKIT for sustainable growth of their data and AI infrastructure. Over a decade-long partnership, Schwarz has utilized sovereign data and cloud services to maintain a competitive edge. Discover their use of Strategy, the last independent BI tool, with open data formats to avoid vendor lock-in. Get insights into delivering open and sovereign cloud solutions for their business lines and the EU, ensuring data independence and scalability.

D&A value is not possible without data storytelling that offers a better way to engage communication findings than just BI reporting or data science notebooks. Join this session to know about the fundamentals of data storytelling and how to fill the gap between data science speakers and decision makers. It further discusses how to tell the best data storytelling and how to upscale data storytelling for future in landscape of GenAI.

Analytics and Business Intelligence (ABI) Platforms are being transformed by AI. Data insights are more likely to be discovered by machine learning. Natural language generation will turn dashboards into data stories. Natural language query will make data more accessible. This session will show how ABI Platform vendors are incorporating AI and how analytic leaders can manage the additional cost and risk these trends will bring.

This book is a comprehensive guide to building sophisticated and robust Power BI solutions that solve common data problems effectively. Written with hands-on professionals in mind, it provides essential insights and practical advice to help you choose the right tools and approaches for any BI task. Readers will learn to create performant, secure, and innovative business intelligence systems. What this Book will help me do Identify the scenarios where each Power BI component fits best. Apply secure and performance-conscious design principles when building BI solutions. Leverage Microsoft Fabric and other advanced integrations to maximize Power BI's capabilities. Implement AI-powered features such as Copilot and predictive modeling in Power BI. Facilitate collaboration and governance using Power BI's advanced features. Author(s) Nagaraj Venkatesan has over 17 years of professional expertise in data platform technologies and business intelligence tools. Through a rich career in data solution architecture, he has mastered the art of designing efficient and reliable Power BI implementations. This book reflects his passion for empowering professionals to make the most of Power BI. Who is it for? If you are a solution architect, data engineer, or Power BI report developer looking to elevate your skills in designing optimized Power BI solutions, this book is for you. Business analysts and data scientists can also benefit immensely from the book's coverage of self-service BI and data science integration. Some familiarity with Power BI will enhance your learning experience, but newcomers eager to learn will also find it invaluable.

This book takes an advanced dive into using Tableau for professional data visualization and analytics. You will learn techniques for crafting highly interactive dashboards, optimizing their performance, and leveraging Tableau's APIs and server features. With a focus on real-world applications, this resource serves as a guide for professionals aiming to master advanced Tableau skills. What this Book will help me do Build robust, high-performing Tableau data models for enterprise analytics. Use advanced geospatial techniques to create dynamic, data-rich mapping visualizations. Leverage APIs and developer tools to integrate Tableau with other platforms. Optimize Tableau dashboards for performance and interactivity. Apply best practices for content management and data security in Tableau implementations. Author(s) Pablo Sáenz de Tejada and Daria Kirilenko are seasoned Tableau experts with vast professional experience in implementing advanced analytics solutions. Pablo specializes in enterprise-level dashboard design and has trained numerous professionals globally. Daria focuses on integrating Tableau into complex data ecosystems, bringing a practical and innovative approach to analytics. Who is it for? This book is tailored for professionals such as Tableau developers, data analysts, and BI consultants who already have a foundational knowledge of Tableau. It is ideal for those seeking to deepen their skills and gain expertise in tackling advanced data visualization challenges. Whether you work in corporate analytics or enjoy exploring data in your own projects, this book will enhance your Tableau proficiency.

Artificial Intelligence is transforming the world of analytics, but how much of the job is changing? In this episode, we explore the AI-powered future of analytics: real-time insights, smarter Business Intelligence (BI) tools, and how Excel is turning heads with ChatGPT integration. Will AI replace analysts or supercharge what they already do best? Ravit Jain, Founder of the Ravit Show, will dive into what's staying the same, what's evolving, and what you need to know to keep up. Discover how AI is revolutionizing analytics, from real-time insights to the future of BI tools and Excel's new ChatGPT capabilities. Stay ahead of the curve— uncover how you can thrive in the AI-powered future of analytics! What You'll Learn: How AI-powered Excel is simplifying data wrangling and reporting. What parts of an analyst's role are evolving, and what core skills will always matter. How you can future-proof your analytics career in an AI-driven world.   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Interested in learning more from Ravit? Check out The Ravit Show!    Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

This session explores how Looker and Google Workspace work together to bring data-driven decisions right into your everyday workflow. Learn how to leverage Looker spreadsheet-based business intelligence (BI) capabilities with Connected Sheets, integrate Looker with other Workspace apps, automate slide generation, and use the advanced features of Looker Studio Pro. And view a live demo of Looker BI agents in Google Chat. Ideal for anyone looking to streamline their data workflow and enhance collaboration within their Workspace environment.

Unlock the power of natural language with Looker Agents! This technical deep dive will walk you through an agentic architecture in Looker Conversational Analytics and showcase how the Chief Product Officer of Zeotap is helping Zeotap customers “chat with their data” within the Zeotap platform using the new Conversational Analytics API. Learn how to build custom data agents, answer questions in Workspace, and create analytics applications with the power of conversational AI.

Unlock the full potential of your data with the power of AI. This session explores how Google Cloud’s latest advancements in AI are transforming business intelligence, empowering you to gain deeper insights, make faster decisions, and drive innovation. We’ll dive into trusted insights with BigQuery and AI, the power of the Looker semantic layer, and how Google Cloud’s AI-powered business intelligence (BI) solutions can help you transform your data into actionable intelligence and drive business success.

Business intelligence professionals and data practitioners, join us to share experiences and brainstorm solutions to your biggest data challenges. Whether you're tackling AI hallucinations, accelerating large queries, or defining data governance, this meetup provides a space for interactive discussion with peers and data experts. Bring your own topics to explore real-world scenarios and grow your network within our community.