Leverage CRM Analytics to generate valuable business insights and solve business problems efficiently Key Features Extract, combine, transform, and visualize your data to derive business insights using CRM Analytics Gain hands-on experience as you walk through practical dashboard use cases in CRM Analytics Learn how to build best-in-class dashboards from a CRM Analytics thought leader Book DescriptionCRM Analytics, formerly known as Tableau CRM and Einstein Analytics, is a powerful and versatile data analytics platform that enables organizations to extract, combine, transform, and visualize their data to create valuable business insights. Creating Actionable Insights Using CRM Analytics provides a hands-on approach to CRM Analytics implementation and associated methodologies that will have you up and running and productive in no time. The book provides you with detailed explanations of essential concepts to help you to gain confidence and become competent in using the CRM Analytics platform for data extraction, combination, transformation, visualization, and action. As you make progress, you'll understand what CRM Analytics is and where it provides business value. You'll also learn how to bring your data together in CRM Analytics, build datasets and lenses for data analysis, create effective analytics dashboards for visualization and consumption by end users, and build dashboard actions that take the user from data to insight to action with ease. By the end of this book, you'll be able to solve business problems using CRM Analytics and design, build, test, and deploy analytics dashboards efficiently. What you will learn Implement and configure CRM Analytics from scratch Build your first CRM Analytics app and embed your CRM Analytics dashboards in Salesforce to enhance user adoption Connect Salesforce and external data with CRM Analytics and create datasets Create a data recipe and get familiar with the recipe UI Build a custom dashboard in CRM Analytics using the dashboard editor Use lenses to create a CRM Analytics dashboard Configure and implement data security and governance Build configured record actions to automate data directly in Salesforce Who this book is forThis book is for data analysts, business analysts, BI professionals, and Salesforce users who want to explore CRM Analytics' capabilities and features. Basic knowledge of Salesforce and data analytics is assumed to get the most out of this book.

Explore Amazon Connect, from implementing call flows and creating AI bots to integrating artificial intelligence solutions and analyzing critical customer sentiment Key Features Discover how to integrate chat with Connect to allow organizations to reduce operations costs Leverage machine learning to perform natural language processing (NLP) for analyzing customer feedback and trends Learn how to integrate your enterprise application with Amazon Connect Book DescriptionAmazon Connect is a pay-as-you-go cloud contact center solution that powers Amazon's customer contact system and provides an impressive user experience while reducing costs. Connect's scalability has been especially helpful during COVID-19, helping customers with research, remote work, and other solutions, and has driven adoption rates higher. Amazon Connect: Up and Running will help you develop a foundational understanding of Connect's capabilities and how businesses can effectively estimate the costs and risks associated with migration. Complete with hands-on tutorials, costing profiles, and real-world use cases relating to improving business operations, this easy-to-follow guide will teach you everything you need to get your call center online, interface with critical business systems, and take your customer experience to the next level. As you advance, you'll understand the benefits of using Amazon Connect and cost estimation guidelines for migration and new deployments. Later, the book guides you through creating AI bots, implementing interfaces, and leveraging machine learning for business analytics. By the end of this book, you'll be able to bring a Connect call center online with all its major components and interfaces to significantly reduce personnel overhead and provide your customers with an enhanced user experience (UX). What you will learn Become well-versed with the capabilities and benefits of Amazon Connect Determine cost-effective solutions by integrating Connect with AWS Create, modify, and connect contact flows to improve efficiency Build a conversational interface with Amazon Lex Find out how to transfer contact records out of Connect via Kinesis Gather user insights and improve business operations with Amazon QuickSight Analyze customer-agent conversations with ML speech analytics capabilities Discover ways to provide superior customer service at a lower cost Who this book is forThis Amazon Connect book is for anyone looking to save costs and improve their customer experience through a more advanced call center using Amazon Connect and other AWS capabilities. A technical understanding of Amazon Web Services (AWS) and beginner-level business administration experience are necessary to address cost concerns and risks.

Learn how to bring your data to life with this hands-on guide to visual analytics with Tableau Key Features Master the fundamentals of Tableau Desktop and Tableau Prep Learn how to explore, analyze, and present data to provide business insights Build your experience and confidence with hands-on exercises and activities Book DescriptionLearning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience. As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users. All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays. By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions. What you will learn Become an effective user of Tableau Prep and Tableau Desktop Load, combine, and process data for analysis and visualization Understand different types of charts and when to use them Perform calculations to engineer new data and unlock hidden insights Add interactivity to your visualizations to make them more engaging Create holistic dashboards that are detailed and user-friendly Who this book is forThis book is for anyone who wants to get started on visual analytics with Tableau. If you're new to Tableau, this Workshop will get you up and running. If you already have some experience in Tableau, this book will help fill in any gaps, consolidate your understanding, and give you extra practice of key tools.

Make the most of Salesforce Marketing Cloud through automation and increase your productivity on the platform without adding any extra resources Key Features Increase your knowledge of automation theory and the applications of SFMC Explore automation with SFMC and its capabilities beyond general usage Understand the automation features and integrations of SFMC to use the platform from outside the user interface (UI) for maximum efficiency Book DescriptionSalesforce Marketing Cloud (SFMC) allows you to use multiple channels and tools to create a 1:1 marketing experience for your customers and subscribers. Through automation and helper tasks, you can greatly increase your productivity while also reducing the level of effort required in terms of volume and frequency. Automating Salesforce Marketing Cloud starts by discussing what automation is generally and then progresses to what automation is in SFMC. After that, you'll focus on how to perform automation inside of SFMC all the way to fully running processes and capabilities from an external service. Later chapters explore the benefits and capabilities of automation and having an automation mindset both within and outside of SFMC. Equipped with this knowledge and example code, you'll be prepared to maximize your SFMC efficiency. By the end of this Salesforce book, you'll have the skills you need to build automation both inside and outside of SFMC, along with the knowledge for using the platform optimally. What you will learn Understand automation to make the most of the SFMC platform Optimize ETL activities, data import integrations, data segmentations, email sends, and more Explore different ways to use scripting and API calls to increase Automation Studio efficiency Identify opportunities for automation with custom integrations and third-party solutions Optimize usage of SFMC by building on the core concepts of custom integrations and third-party tools Maximize utilization of employee skills and capabilities and reduce operational costs while increasing output Who this book is forThis book is for Salesforce Marketing Cloud users who want to know how to make their day to day lives more efficient and get the most out of the tool by working smarter, not harder. A solid understanding of SFMC and basic knowledge of what automation is will help you get the most out of this book.

Get up to speed with the essential concepts and techniques necessary to prepare for the Salesforce Platform App Builder certification exam Key Features Prepare for the Salesforce Platform App Builder certification exam by exploring important concepts and expert tips and techniques Design the data model, user interface, business logic, and security for custom apps Understand the key milestones and considerations when managing an application lifecycle Book DescriptionDo you want to be able to confidently design and build apps that support business processes within the Lightning Platform? Salesforce Platform App Builder Certification Guide not only helps you to do this, but also prepares you for the certification exam. The book starts by describing the core capabilities of the Lightning Platform. You'll learn techniques for data modeling to design, build, and deploy apps without writing code and achieve rapid results with the declarative capabilities that the Lightning Platform provides. Next, you'll explore utilities for importing and exporting data and the features available in the Lightning Platform to restrict and extend access to objects, fields, and records. You'll also be able to customize the Salesforce Lightning Experience user interface (UI) and build functionality for custom buttons, links, and actions. Later, this certification study guide will take you through reporting and the social and mobile features of the Lightning Platform. Finally, you'll get to grips with Salesforce build environments and deployment options. By the end of this Salesforce book, you'll not only have learned how to build data models, enforce data security, and implement business logic and process automation, but also have gained the confidence to pass the Platform App Builder exam and achieve Salesforce certification. What you will learn Explore the core features of the Lightning Platform Design and build an appropriate data model for a given scenario Identify the Lightning Platform's features and capabilities Customize the Salesforce Lightning Experience UI Implement business logic and process automation Identify the capabilities of declarative customization Who this book is forThis book is for beginners and aspiring developers who want to learn how to build apps on the Salesforce Platform or pass the Salesforce Platform App Builder certification exam. Salesforce administrators and existing Salesforce Lightning Platform developers looking to learn more about the declarative, non-programmatic app building capabilities of the Salesforce Lightning Platform will also find this book useful.

Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from data Key Features Get well-versed with DataRobot features using real-world examples Use this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycle Make use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML models Book DescriptionDataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization. You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities. By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors. What you will learn Understand and solve business problems using DataRobot Use DataRobot to prepare your data and perform various data analysis tasks to start building models Develop robust ML models and assess their results correctly before deployment Explore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problem Analyze a model's predictions and turn them into actionable insights for business users Understand how DataRobot helps in governing, deploying, and maintaining ML models Who this book is forThis book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.

A non-developer's guide to harnessing the power of Amazon Honeycode apps to manage projects, customers, operations, approvals, resources, and teams Key Features A practical guide to Amazon Web Services (AWS) no-code app development for meeting specific needs of customers Create apps quickly without paying for costly developers using Honeycode's in-built templates and functions Learn how to use stable AWS services to supplement Honeycode's present limits Book DescriptionAmazon Honeycode enables you to build fully managed, customizable, and scalable mobile and web applications for personal or professional use with little to no code. With this practical guide to Amazon Honeycode, you'll be able to bring your app ideas to life, improving your and your team's/organization's productivity. You'll begin by creating your very first app from the get-go and use it as a means to explore the Honeycode development environment and concepts. Next, you'll learn how to set up and organize the data to build and bind an app on Honeycode as well as deconstruct different templates to understand the common structures and patterns that can be used. Finally, you'll build a few apps from scratch and discover how to apply the concepts you've learned. By the end of this app development book, you'll have gained the knowledge you need to be able to build and deploy your own mobile and web applications. You'll also be able to invite and share your app with people you want to collaborate with. What you will learn Build mobile and web applications with simple drag-drops and customizations Deploy and share apps and collaborate in real-time with your team Understand how to create automated processes in apps Create a customized view for each app user or a group of users Import existing data from a CSV and build an app on top of it Create connectors to external data sources Build applications using Honeycode either from scratch or by modifying an existing template Explore Honeycode templates and understand what use cases are available out-of-the-box with these templates Who this book is forLike the platform, this book is meant for everyone - professional and novice developers alike - who want to build and deploy apps for their personal or professional use as an individual or as a team. However, for professional developers, it is important to note that the book will not focus on advanced use cases with features like using public APIs and 3P integrations. No programming knowledge or experience is needed to start creating basic apps. However, working knowledge of Microsoft Excel or similar spreadsheet tools and a general understanding of logical statements will be helpful to get the most out of this book.