
Título: Learning Alteryx: A beginner's guide to using Alteryx for self-service analytics and business intelligence
Autor: Renato Baruti
Sinopse: Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform
Key Features: Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate predictions Includes real-world examples to put your understanding of the features in Alteryx to practical use
Book Description:
Alteryx, as a leading data blending and advanced data analytics platform, has taken self-service data analytics to the next level. Companies worldwide often find themselves struggling to prepare and blend massive datasets that are time-consuming for analysts. Alteryx solves these problems with a repeatable workflow designed to quickly clean, prepare, blend, and join your data in a seamless manner.
This book will set you on a self-service data analytics journey that will help you create efficient workflows using Alteryx, without any coding involved. It will empower you and your organization to take well-informed decisions with the help of deeper business insights from the data.Starting with the fundamentals of using Alteryx such as data preparation and blending, you will delve into the more advanced concepts such as performing predictive analytics. You will also learn how to use Alteryx's features to share the insights gained with the relevant decision makers. To ensure consistency, we will be using data from the Healthcare domain throughout this book.
The knowledge you gain from this book will guide you to solve real-life problems related to Business Intelligence confidently. Whether you are a novice with Alteryx or an experienced data analyst keen to explore Alteryx's self-service analytics features, this book will be the perfect companion for you.
What You Will Learn: Create efficient workflows with Alteryx to answer complex business questions Learn how to speed up the cleansing, data preparing, and shaping process Blend and join data into a single dataset for self-service analysis Write advanced expressions in Alteryx leading to an optimal workflow for efficient processing of huge data Develop high-quality, data-driven reports to improve consistency in reporting and analysis Explore the flexibility of macros by automating analytic processes Apply predictive analytics from spatial, demographic, and behavioral analysis and quickly publish, schedule Share your workflows and insights with relevant stakeholders
Who this book is for:
This book is for aspiring data professionals who want to learn and implement self-service analytics from scratch, without any coding. Those who have some experience with Alteryx and want to gain more proficiency will also find this book to be useful. A basic understanding of the data science concepts is all you need to get started with this book.
Contexto da obra
Como livro em inglês, esta obra costuma ganhar também uma camada própria de interesse editorial e linguístico. “Learning Alteryx: A beginner’s guide to using Alteryx for self-service analytics and business intelligence”, de Renato Baruti, publicado pela editora Packt Publishing, em 2017 e com 228 páginas, integra a categoria Livros em Inglês. Por isso, o interesse da obra tende a se ampliar quando o leitor considera também a relação com a língua em que ela circula.
Editora: Packt Publishing
Páginas: 228
Ano: 2017-12-26
Edição:
Linguagem: en
ISBN: 1788392655
ISBN13: 9781788392655
Sobre a editora
Os livros da editora Packt Publishing oferecem uma experiência de leitura focada em tecnologia aplicada, com ênfase em desenvolvimento de software, automação, segurança da informação e computação avançada. O catálogo privilegia abordagens práticas, muitas vezes estruturadas em formato de receitas ou tutoriais passo a passo, que facilitam a implementação imediata de soluções técnicas. As obras exploram desde a criação de aplicações web, mobile e de inteligência artificial, até a administração de sistemas e bancos de dados, contemplando também temas emergentes como computação quântica e Internet das Coisas.
