Essential for Looker developers and administrators responsible for high-performing deployments, this session dives deep into the latest Looker performance and modeling advancements, equipping you with the knowledge and tools to build robust and scalable data experiences. Explore the latest platform optimizations, continuous integration and delivery (CI/CD) with Spectacles, key metrics for monitoring, and advanced LookML modeling techniques. Plus, a Looker customer will share their journey to optimize performance and achieve greater scalability.

Looker is transforming business intelligence (BI) with the power of AI. This session explores the latest AI advancements in Looker, showcasing how these new features – combined with the power of its semantic modeling and self-service exploration capabilities – simplify data analysis and empower everyone to make data-driven decisions. We’ll cover Looker AI and BI strategies, demonstrate new capabilities, and share best practices for leveraging AI in your BI workflows.

Don’t miss this fireside chat! Join Teradata, Google Cloud, and HSBC to discover how Teradata VantageCloud migrated HSBC’s UK data platform. Learn how Teradata’s Cloud Vantage EDW enabled scalable, secure solutions and improved decision-making. With over 4 billion queries, 2,500 applications, and 35 integrated systems, this hybrid cloud solution offers unparalleled resilience and cost-efficiency.

Increased productivity and efficiency are baseline expectations. AI must drive business transformation by going beyond the bottom-line to reshape customer experiences, streamline operations, and achieve strategic goals. Join Dialpad’s Natala Menezes, VP of Product Marketing and Randstad's Ryan Henry, Director of Infrastructure Services for a conversation about how Randstad gets real ROI with smarter processes. 

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Cox’s growth goals hinge on customer acquisition and retention to expand its market reach. Traditional customer service models, limited by inefficiencies and reactive support, hinder scalability. Next-generation customer service innovations – powered by AI, automation, and data-driven insights – enable proactive engagement, hyper-personalization, and seamless omnichannel experiences. Innovative strategies unlock new revenue streams, improve customer lifetime value, and enhance operational agility, turning every customer interaction into a growth opportunity.

This Session is hosted by a Google Cloud Next Sponsor.
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Unlock the full potential of your data with Google's autonomous data and AI platform. This session explores how we're bringing the power of AI directly to your data, integrating multimodal data handling, an innovative AI Query Engine, and Gemini agents to enable seamless data integration, automated workflows, complex reasoning, and real-time insights. Join us to explore the latest advancements in BigQuery and Looker and build a data and AI strategy that drives your business forward.

In this hands-on lab, you'll explore data with BigQuery's intuitive table explorer and data insight features, enabling you to gain valuable insights without writing SQL queries from scratch. Learn how to generate key insights from order item data, query location tables, and interact with your data seamlessly. By the end, you’ll be equipped to navigate complex datasets and uncover actionable insights quickly and efficiently.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

In today’s rapidly evolving business landscape, data is no longer just a back-office function – it’s the lifeblood of informed decision-making and competitive advantage. This session is designed to empower business decision-makers with the knowledge and strategies to become truly data-driven leaders in the age of disruption.

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Learn how Dun & Bradstreet, a leading provider of business decisioning data and analytics, supercharged their business with Google Cloud. You’ll learn how Dun & Bradstreet achieved a 95% decrease in data onboarding time and a 50% reduction in data latency, and how they unlocked new revenue streams with AI. Learn how they built an enterprise-grade data cloud, and new and innovative AI solutions. Join us to find out how your organization can leverage Dun & Bradstreet’s experience and learnings to achieve similar success in your own data analytics and AI journey.

CLEAR AND CONCISE TECHNIQUES FOR USING ANALYTICS TO DELIVER BUSINESS IMPACT AT ANY ORGANIZATION Organizations have more data at their fingertips than ever, and their ability to put that data to productive use should be a key source of sustainable competitive advantage. Yet, business leaders looking to tap into a steady and manageable stream of “actionable insights” often, instead, get blasted with a deluge of dashboards, chart-filled slide decks, and opaque machine learning jargon that leaves them asking, “So what?” Analytics the Right Way is a guide for these leaders. It provides a clear and practical approach to putting analytics to productive use with a three-part framework that brings together the realities of the modern business environment with the deep truths underpinning statistics, computer science, machine learning, and artificial intelligence. The result: a pragmatic and actionable guide for delivering clarity, order, and business impact to an organization’s use of data and analytics. The book uses a combination of real-world examples from the authors’ direct experiences—working inside organizations, as external consultants, and as educators—mixed with vivid hypotheticals and illustrations—little green aliens, petty criminals with an affinity for ice cream, skydiving without parachutes, and more—to empower the reader to put foundational analytical and statistical concepts to effective use in a business context.

Build business intelligence with insight from a professional Microsoft Power Platform For Dummies covers the essentials you need to know to get started with Microsoft Power Platform, the suite of business intelligence applications designed to make your enterprise work smarter and more efficiently. You'll get a handle on managing and reporting data with Power BI, building no-code apps with Power Apps, creating simple web properties with Power Pages, and simplifying your day-to-day work with Power Automate. Written by a business consultant who's helped some of the world's largest organizations adopt, manage, and get work done with Power Platform, this book gets you through your work without working too hard to figure things out. Discover the tools that come with Power Platform and how they can help you build business intelligence Manage data, create apps, automate routine tasks, create web pages, and beyond Learn the current best practices for launching Power Platform in an organization Get step-by-step instructions for navigating the interface and setting up your tools This is a great quick-start guide for anyone who wants to leverage Power Platform's BI tools.

Deriving business value from analytics is a challenging process. Turning data into information requires a business analyst who is adept at multiple technologies including databases, programming tools, and commercial analytics tools. This practical guide shows programmers who understand analysis concepts how to build the skills necessary to achieve business value. Author Deanne Larson, data science practitioner and academic, helps you bridge the technical and business worlds to meet these requirements. You'll focus on developing these skills with R and Python using real-world examples. You'll also learn how to leverage methodologies for successful delivery. Learning methodology combined with open source tools is key to delivering successful business analytics and value. This book shows you how to: Apply business analytics methodologies to achieve successful results Cleanse and transform data using R and Python Use R and Python to complete exploratory data analysis Create predictive models to solve business problems in R and Python Use Python, R, and business analytics tools to handle large volumes of data Commit code to GitHub to collaborate with data engineers and data scientists Measure success in business analytics

Hone your business skills and supercharge your career with this definitive guide for data professionals working in business on how they can improve their organizational effectiveness and commercial understanding.

Transform your data analysis experience with Power Query, the ultimate tool for importing, reshaping, and cleansing data through a user-friendly interface. Whether youre using Power BI, Excel, or other Microsoft products, Power Querys capabilities are at your fingertips. Renowned Power Query experts Daniil Maslyuk and Gil Raviv guide you through mastering this indispensable tool, helping you eliminate tedious manual data preparation, tackle common issues, and avoid potential pitfalls. In this updated edition, youll delve into comprehensive analytics challenges, seamlessly integrating your skills into a realistic, final project. By the end, youll possess the expertise to handle any data and convert it into actionable insights. You will learn how to: Effortlessly prepare data by utilizing Power Query in Power BI and Excel to transform your data quickly and efficiently Overcome common data preparation problems with intuitive mouse clicks and straightforward formula edits Combine data from various sources, multiple queries, and mismatched tables with ease Reshape tables to suit your analysis needs Use the Power Query M formula language to create flexible data mashups and tailor transformations to your requirements Address and overcome collaboration challenges by using Power Querys powerful features Gain crucial insights from text feeds by enhancing your data analysis capabilities Profile data, diagnose queries, improve query performance, and more! About This Book For everyone who wants to get more done with Power Query in less time For business and financial professionals, developers, entrepreneurs, students, and others who need to efficiently manage and analyze data .

This book, "Power Apps Tips, Tricks, and Best Practices," is your guide to mastering the development of robust Power Apps solutions. Through its structured and practical approach, you'll gain insights into planning, building, and maintaining applications using the Power Platform. Master advanced techniques, integrate with other systems, and ensure governance and security for professional-grade outcomes. What this Book will help me do Create scalable and maintainable applications using Power Apps. Master the setup and integration of Power Apps with tools like Power Automate and Power BI. Apply governance and security measures effectively to your Power Apps solutions. Leverage advanced topics such as data connections, Copilot Studio, and error handling. Optimize application interfaces through best practices using filtering, formatting, and formulas. Author(s) Andrea Pinillos and Tim Weinzapfel, experienced practitioners in Power Platform technologies, bring their expertise to this book. With years of professional experience in design and implementation, they use their hands-on knowledge to explain complex topics simply and clearly. Their passion for teaching is evident in their step-by-step approach to help you build Power Apps effectively. Who is it for? This book is designed for business analysts, IT professionals, and developers aiming to improve their app development skills. It accommodates both technical and non-technical users with an interest in Power Apps and the Power Platform. Readers should have a basic understanding of Microsoft 365 and Power Apps, although advanced topics are explained for beginners to comprehend easily.

Microsoft Power Apps Cookbook is a comprehensive guide to harnessing the full potential of Microsoft Power Apps, a powerful low-code platform for building business applications. Packed with practical recipes, this book details how to develop scalable, efficient apps, automate workflows with RPA, and utilize new capabilities like AI-powered Microsoft Copilot and the Power Apps Component Framework. What this Book will help me do Create and deploy scalable canvas and model-driven apps using Microsoft Power Apps. Utilize AI-powered features like Copilot to speed up app creation and development. Implement robust data management strategies with Microsoft Dataverse. Extend app functionalities using the Power Apps Component Framework for custom components. Design and build secure external-facing websites with Microsoft Power Pages. Author(s) Eickhel Mendoza is an experienced Microsoft Power Platform developer and educator who has helped numerous organizations enhance their capabilities through low-code app development. Authoring from extensive hands-on experience, their teaching style bridges technical theory and practical application. Eickhel is passionate about empowering users to achieve more with modern app development tools. Who is it for? This book is ideal for information workers and developers looking to streamline their application development processes with Microsoft's low-code solutions. It is particularly targeted toward users with a foundational understanding of the Power Platform looking to deepen their knowledge. Readers will benefit most if they are eager to learn how to create innovative solutions efficiently. Traditional developers aiming to explore a new paradigm of rapid application development will also find it highly beneficial.

Business decisions in any context—operational, tactical, or strategic—can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made under the proverbial cloud of uncertainty. With this practical guide, data analysts, data scientists, and business analysts will learn why and how maximizing positive consequences and minimizing negative ones requires three forms of rich information: Descriptive analytics explores the results from an action—what has already happened. Predictive analytics focuses on what could happen. The third, prescriptive analytics, informs us what should happen in the future. While all three are important for decision-makers, the primary focus of this book is on the third: prescriptive analytics. Author Walter R. Paczkowski, Ph.D. shows you: The distinction among descriptive, predictive, and prescriptive analytics How predictive analytics produces a menu of action options How prescriptive analytics narrows the menu of action options The forms of prescriptive analytics: eight prescriptive methods Two broad classes of these methods: non-stochastic and stochastic How to develop prescriptive analyses for action recommendations Ways to use an appropriate tool-set in Python

Use this evidence-based guide to understand how to apply data, people analytics and behavioural science to deliver real business value.

The sheer volume of business data has reached an all-time high. Using visualizations to transform this data into useful and understandable information can facilitate better decision-making. This practical book shows data analysts as well as professionals in finance, sales, and marketing how to quickly create visualizations and build savvy dashboards. Alex Kolokolov from Data2Speak and Maxim Zelensky from Intelligent Business explain in simple and clear language how to create brilliant charts with Microsoft Power BI and follow best practices for corporate reporting. No technical background is required. Step-by-step guides help you set up any chart in a few clicks and avoid common mistakes. Also, experienced data analysts will find tips and tricks on how to enrich their reports with advanced visuals. This book helps you understand: The basic rules for classic charts that are used in 90% of business reports Exceptions to general rules based on real business cases Best practices for dashboard design How to properly set up interactions How to prepare data for advanced visuals How to avoid pitfalls with eye-catching charts

This comprehensive guide will teach you how to build an income statement semantic model, also known as the profit and loss (P&L) statement. Author Chris Barber— a business intelligence (BI) consultant, Microsoft MVP, and chartered accountant (ACMA, CGMA)—helps you master everything from designing conceptual models to building semantic models based on these designs. You will learn how to build a re-usable solution based on the trial balance and how to expand upon this to build enterprise-grade solutions. If you want to leverage the Microsoft BI platform to understand profit within your organization, this is the resource you need. What You Will Learn Modeling and the income statement: Learn what modelling the income statement entails, why it is important, and how income statements are constructed Calculating account balances: Learn how to optimally calculate account balances using a Star Schema Producing external income statement semantic models: Learn how to produce external income statement semantic models as they enable income statements to be analyzed from a range of perspectives and can be explored to reveal the underlying accounts and journal entries Producing internal income statement semantic models: Learn how to create multiple income statement layouts and further contextualize financial information by including percentages and non-financial information, and learn about the various security and self-service considerations Who This Book Is For Technical users (solution architects, Microsoft Fabric developers, Power BI developers) who require a comprehensive methodology for income statement semantic models because of the modeling complexities and knowledge needed of the accounting process; and finance (management accountants) who have hit the limits of Excel and have started using Power BI, but are unsure how income statement semantic models are built