Business performance analysis is central to any business, as it helps to make or mend products, services, and processes. This book provides several blueprints for setting up business performance analytics (BPA) shops, from process layout for performance measures to tracking the underlying metrics of them using website tools such as Google Analytics and Looker Studio. Delivering satisfying user experiences in the context of overarching business objectives is key to delivering elevated business performance. This book transcends the topic of tracking user behaviors in websites from generic to specific KPI scenario-based tracking using Google Analytics/Google Tag Manager. Business Performance Analysis stands out by helping you create fit-for-purpose and coherent performance analysis blueprints by integrating performance measure creation and website analytics of BPA together. What You Will Learn Design a Business Performance Analysis function Analyze performance metrics with website analytics tools Identify business performance metrics for common product scenarios Who This Book is For Senior leaders, product managers, product owners, UX and web analytics professionals

This book is your practical and comprehensive guide to learning Google Cloud Platform (GCP) for data science, using only the free tier services offered by the platform. Data science and machine learning are increasingly becoming critical to businesses of all sizes, and the cloud provides a powerful platform for these applications. GCP offers a range of data science services that can be used to store, process, and analyze large datasets, and train and deploy machine learning models. The book is organized into seven chapters covering various topics such as GCP account setup, Google Colaboratory, Big Data and Machine Learning, Data Visualization and Business Intelligence, Data Processing and Transformation, Data Analytics and Storage, and Advanced Topics. Each chapter provides step-by-step instructions and examples illustrating how to use GCP services for data science and big data projects. Readers will learn how to set up a Google Colaboratory account and run Jupyternotebooks, access GCP services and data from Colaboratory, use BigQuery for data analytics, and deploy machine learning models using Vertex AI. The book also covers how to visualize data using Looker Data Studio, run data processing pipelines using Google Cloud Dataflow and Dataprep, and store data using Google Cloud Storage and SQL. What You Will Learn Set up a GCP account and project Explore BigQuery and its use cases, including machine learning Understand Google Cloud AI Platform and its capabilities Use Vertex AI for training and deploying machine learning models Explore Google Cloud Dataproc and its use cases for big data processing Create and share data visualizations and reports with Looker Data Studio Explore Google Cloud Dataflow and its use cases for batch and stream data processing Run data processing pipelines on Cloud Dataflow Explore Google Cloud Storageand its use cases for data storage Get an introduction to Google Cloud SQL and its use cases for relational databases Get an introduction to Google Cloud Pub/Sub and its use cases for real-time data streaming Who This Book Is For Data scientists, machine learning engineers, and analysts who want to learn how to use Google Cloud Platform (GCP) for their data science and big data projects

Data Storytelling with Google Looker Studio is your definitive guide to creating compelling dashboards using Looker Studio. In this book, you'll journey through the principles of effective data visualization and learn how to harness Looker Studio to convey impactful data stories. Step by step, you'll acquire the skills to design, build, and refine dashboards using real-world data. What this Book will help me do Understand and apply data visualization principles to enhance data analysis and storytelling. Master the features and capabilities of Google Looker Studio for dashboard building. Learn to use a structured 3D approach - determine, design, and develop - for creating dashboards. Explore practical examples to apply your knowledge effectively in real projects. Gain insights into monitoring and measuring the impact of Looker Studio dashboards. Author(s) Sireesha Pulipati is an accomplished data analytics professional with extensive experience in business intelligence tools and data visualization. Leveraging her years of expertise, she has crafted this book to empower readers to effectively use Looker Studio. Sireesha's approachable teaching style and practical insights make complex concepts accessible to learners. Who is it for? This book is perfect for aspiring data analysts eager to master data visualization and dashboard design. It caters to beginners and requires no prior experience, making it a great starting point. Intermediate and seasoned professionals in analytics and business intelligence who are keen on using Looker Studio effectively will find immense value as well. If you aim to create insightful dashboards and refine your data storytelling skills, this book is for you.