Learning Einstein Analytics

Learn to confidently setup and create app, lenses, dashboards using Salesforce Einstein Analytics. Key Features Explore Einstein analytics on desktop as well as mobile platforms Turn data into smarter sales with Einstein Analytics for Sales Visualize your data with preloaded as well as customized dashboards Book Description Salesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users. This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way. What you will learn Create app, lenses, and dashboards using Einstein. Visualize data utilizing all the widgets available with Einstein. Understand Einstein for Sales, Service, and Marketing separately. Use Data monitoring tools to monitor data flow and system jobs. Abstract machine learning constructs and make predictions on events Who this book is for This book is for data scientists, business users, developers who want to explore business data using the Salesforce Einstein Analytics. Knowledge of the Salesforce platform is required.

Learn to confidently setup and create app, lenses, dashboards using Salesforce Einstein Analytics. Key Features Explore Einstein analytics on desktop as well as mobile platforms Turn data into smarter sales with Einstein Analytics for Sales Visualize your data with preloaded as well as customized dashboards Book Description Salesforce Einstein analytics aka Wave Analytics is a cloud-based platform which connects data from the multiple sources and explores it to uncover insights. It empowers sales reps, marketers, and analysts with the insights to make customer interactions smarter, without building mathematical models. You will learn to create app, lenses, dashboards and share dashboards with other users. This book starts off with explaining you fundamental concepts like lenses, step, measures and sets you up with Einstein Analytics platform. We then move on to creating an app and here you will learn to create datasets, dashboards and different ways to import data into Analytics. Moving on we look at Einstein for sales, services, and marketing individually. Here you will learn to manage your pipeline, understand important business drivers and visualize trends. You will also learn features related to data monitoring tools and embedding dashboards with lightning, visualforce page and mobile devices. Further, you will learn advanced features pertaining to recent advancements in Einstein which include machine learning constructs and getting predictions for events. By the end of this book, you will become proficient in the Einstein analytics, getting insights faster and understanding your customer in a better way. What you will learn - Create app, lenses, and dashboards using Einstein. - Visualize data utilizing all the widgets available with Einstein. - Understand Einstein for Sales, Service, and Marketing separately. - Use Data monitoring tools to monitor data flow and system jobs. - Abstract machine learning constructs and make predictions on events Who this book is for This book is for data scientists, business users, developers who want to explore business data using the Salesforce Einstein Analytics. Knowledge of the Salesforce platform is required.

Incorporate the power of Einstein in your Salesforce application About This Book Make better predictions of your business processes using prediction and predictive modeling Build your own custom models by leveraging PredictionIO on the Heroku platform Integrate Einstein into various cloud services to predict sales, marketing leads, insights into news feeds, and more Who This Book Is For This book is for developers, data scientists, and Salesforce-experienced consultants who want to explore Salesforce Einstein and its current offerings. It assumes some prior experience with the Salesforce platform. What You Will Learn Get introduced to AI and its role in CRM and cloud applications Understand how Einstein works for the sales, service, marketing, community, and commerce clouds Gain a deep understanding of how to use Einstein for the analytics cloud Build predictive apps on Heroku using PredictionIO, and work with Einstein Predictive Vision Services Incorporate Einstein in the IoT cloud Test the accuracy of Einstein through Salesforce reporting and Wave analytics In Detail Dreamforce 16 brought forth the latest addition to the Salesforce platform: an AI tool named Einstein. Einstein promises to provide users of all Salesforce applications with a powerful platform to help them gain deep insights into the data they work on. This book will introduce you to Einstein and help you integrate it into your respective business applications based on the Salesforce platform. We start off with an introduction to AI, then move on to look at how AI can make your CRM and apps smarter. Next, we discuss various out-of-the-box components added to sales, service, marketing, and community clouds from salesforce to add Artificial Intelligence capabilities. Further on, we teach you how to use Heroku, PredictionIO, and the force.com platform, along with Einstein, to build smarter apps. The core chapters focus on developer content and introduce PredictionIO and Salesforce Einstein Vision Services. We explore Einstein Predictive Vision Services, along with analytics cloud, the Einstein Data Discovery product, and IOT core concepts. Throughout the book, we also focus on how Einstein can be integrated into CRM and various clouds such as sales, services, marketing, and communities. By the end of the book, you will be able to embrace and leverage the power of Einstein, incorporating its functions to gain more knowledge. Salesforce developers will be introduced to the world of AI, while data scientists will gain insights into Salesforce's various cloud offerings and how they can use Einstein's capabilities and enhance applications. Style and approach This book takes a straightforward approach to explain Salesforce Einstein and all of its potential applications. Filled with examples, the book presents the facts along with seasoned advice and real-world use cases to ensure you have all the resources you need to incorporate the power of Einstein in your work.

Build interactive dashboards using Salesforce Einstein analytics. Explore all of your data quickly and easily by providing AI-powered advanced analytics, right in Salesforce. You will manage datasets, query data with Salesforce Analytics Query Language (SAQL), and customize dashboards. Because Einstein Analytics is new, the curve to learn this technology can be difficult. This book guides you step-by-step in simple, easy-to-understand terms to get data from the Salesforce platform to the Einstein Analytics platform and also shows you how to import external data (e.g., CSV files). Core chapters focus on understanding data sources, dataflow, dataset, and lens leading up to building dashboards from scratch. Advanced features such as data transformation using computeExpression and computeRelative as well as dataflow with a multi-value lookup are explored. What You Will Learn Use data from Salesforce and external sources Create a dataflow to build a flexible datasetBuild dashboards using Einstein Analytics Explore and analyze data using Einstein Analytics Utilize SAQL and binding to create advance dashboards Who This Book Is For IT users getting started with Einstein Analytics, Salesforce consultants starting new Einstein Analytics projects, and power users familiar with Salesforce reporting and dashboards who want to get up to speed on new analytics features

Leverage CRM Analytics to generate valuable business insights and solve business problems efficiently Key FeaturesExtract, combine, transform, and visualize your data to derive business insights using CRM AnalyticsGain hands-on experience as you walk through practical dashboard use cases in CRM AnalyticsLearn how to build best-in-class dashboards from a CRM Analytics thought leaderBook Description CRM 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 learnImplement and configure CRM Analytics from scratchBuild your first CRM Analytics app and embed your CRM Analytics dashboards in Salesforce to enhance user adoptionConnect Salesforce and external data with CRM Analytics and create datasetsCreate a data recipe and get familiar with the recipe UIBuild a custom dashboard in CRM Analytics using the dashboard editorUse lenses to create a CRM Analytics dashboardConfigure and implement data security and governanceBuild configured record actions to automate data directly in SalesforceWho this book is for This 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.

This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios.

This edited volume fills the gaps in existing literature on visualization and dashboard design for learning analytics. To do so, it presents critical tips to stakeholders and acts as guide to efficient implementation. The book covers the following topics: visualization and dashboard design for learning analytics, visualization and dashboard preferences of stakeholders, learners’ patterns on the dashboard, usability of visualization techniques and the dashboard, dashboard and intervention design, learning and instructional design for learning analytics, privacy and security issues about the dashboard, and future directions of visualization and dashboard design. This book will be of interest to researchers with interest in learning analytics and data analytics, teachers and students in higher education institutions and instructional designers, as it includes contributions from a wide variety of educational and psychological researchers, engineers, instructional designers, learning scientists, and computer scientists interested in learning analytics.

"Fans and disciples of Seymour Sarason all know that education reform needs a change in course. Indeed, the daily practices of schools, education research, and US educational policy all need such a change. Neither Professors Glazek and Sarason, nor anyone else, can give yet a complete description of what these changes would involve. But when the change happens, the leaders of the change will all acknowledge their considerable debt to this book. The reason is that the needed change in school classrooms will be very hard to recognize as such unless these leaders are thoroughly familiar with the concept of ′a context of productive learning.′ In this book, Glazek and Sarason collaborated on an extraordinarily daunting attempt to create and analyze a context of productive learning in which, simultaneously, Sarason was the student and Glazek the teacher and vice versa. They attempted what must surely be a ′Mt Everest′ example of the concept: explanation of Einstein′s famous formula, E=mc². The result should be of intense interest to a broad audience concerned with the present problems of science education as well as the nature of a context of productive learning." -Kenneth G. Wilson, H. C. Youngberg Trustees Distinguished Professor Nobel Laureate for Physics, 1982 Department of Physics, The Ohio State University "By making accessible and intelligible Einstein′s theory of relativity, this remarkable book reveals to its readers the power and possibility of their own learning and, in doing so, brilliantly demonstrates the power and necessity of productive learning for everyone." -Andy Hargreaves, Thomas More Brennan Chair in Education Lynch School of Education, Boston College "Professors Glazek and Sarason have written a creative and instructive book that will be read for years to come. Drawing upon their backgrounds in physics and psychology, they support Einstein′s recommendations as to the importance of the humanities. The authors′ purpose is to help readers acquire a substantive grasp of how Einstein accomplished what he did and the implications of this for educational reform. The reader′s view of teaching and learning will be forever changed by the authors′ insights." -Dale L. Brubaker, Professor University of North Carolina "This is an interesting and provocative book, written by a psychologist with several thousands of hours of observation and analysis of classroom teaching in public schools and a physicist. The book starts with a critique of teaching in our schools and explains why educational reform has been so minimal in its effects. The movie ′Mr. Holland′s Opus′ is used as a distinguisher between good and bad teaching methodology. These chapters are followed by physics chapters on the foundation of Einstein′s E=mc2. The authors follow Einstein′s thinking and use the features of light as a vehicle for their discussion. They fold in stories and shy away from formulas, which they leave for appendices. The book ends with a chapter on the philosophy of teaching. The book is well written and eminently readable; the arguments are easy to follow. I recommend the book to anyone interested in the basis of modern physics and Einstein′s role in it." -Ernest M. Henley, Professor Emeritus of Physics University of Washington Use the concept of productive learning to reframe school reform! Why do people, college-bound or even in college, stay away in droves from courses in science, especially physics? Why do people know so little about the significance of Einstein′s contributions which require dramatic changes in how we understand ourselves, our world, and the entire universe? Why have educational reforms failed? In this book, two professors, one a particle physicist and the other a psychologist, confront these questions in a unique way based on the assumption that people can grasp on a non-superficial level what Einstein did in 1905 if, and only if, the features of productive learning are taken seriously. The authors make clear that those features are applicable in teaching any subject matter by devoting two chapters to music and other arts. In the case of science, they chose Einstein′s work precisely because of the general belief that it cannot be assimilated by "ordinary mortals" whose brains are not "wired" to comprehend the ways in which time, mass, energy, and the speed of light are seamlessly interrelated. But this book is not an attempt to popularize Einstein. Its goal is to demonstrate that features of the context of productive learning are applicable to any teacher-student relationship, regardless of whether the student is in first grade, in high school, or in college. Einstein′s work was about alignment of frames of reference of observers in physics. A similar process of alignment between the minds of a student and a teacher is the vehicle of productive learning. The book explains the analogy. The authors discuss and emphasize that educational reform will continue to fail as long as the concept of learning is fuzzy and provides no direction to the teacher-student relationship. Reform efforts will continue to fail unless and until they are based on a clear distinction between contexts of productive and unproductive learning.