Learning Einstein Analytics
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Learning Einstein Analytics
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Author : santosh chitalkar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-01-29
Learning Einstein Analytics written by santosh chitalkar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-29 with Computers categories.
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.
Learning Einstein Analytics
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Author : Santosh Tukaram Chitalkar
language : en
Publisher:
Release Date : 2018-01-29
Learning Einstein Analytics written by Santosh Tukaram Chitalkar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-29 with Computers categories.
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.
Learning Salesforce Einstein
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Author : Mohith Shrivastava
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-06-28
Learning Salesforce Einstein written by Mohith Shrivastava and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-28 with Computers categories.
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.
Creating Actionable Insights Using Crm Analytics
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Author : Mark Tossell
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-12-29
Creating Actionable Insights Using Crm Analytics written by Mark Tossell and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-29 with Computers categories.
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.
Productive Learning
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Author : Stanislaw D. Glazek
language : en
Publisher: Corwin Press
Release Date : 2006-09-01
Productive Learning written by Stanislaw D. Glazek and has been published by Corwin Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-01 with Education categories.
This unique resource promotes the creation of productive learning contexts, which allow students to bring all that they are to the learning process, as essential to successful educational reform.
Visualizations And Dashboards For Learning Analytics
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Author : Muhittin Sahin
language : en
Publisher: Springer Nature
Release Date : 2021-12-16
Visualizations And Dashboards For Learning Analytics written by Muhittin Sahin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-16 with Education categories.
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.
Data Analytics And Ai
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Author : Jay Liebowitz
language : en
Publisher: CRC Press
Release Date : 2020-08-06
Data Analytics And Ai written by Jay Liebowitz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-06 with Computers categories.
Analytics and artificial intelligence (AI), what are they good for? The bandwagon keeps answering, absolutely everything! Analytics and artificial intelligence have captured the attention of everyone from top executives to the person in the street. While these disciplines have a relatively long history, within the last ten or so years they have exploded into corporate business and public consciousness. Organizations have rushed to embrace data-driven decision making. Companies everywhere are turning out products boasting that "artificial intelligence is included." We are indeed living in exciting times. The question we need to ask is, do we really know how to get business value from these exciting tools? Unfortunately, both the analytics and AI communities have not done a great job in collaborating and communicating with each other to build the necessary synergies. This book bridges the gap between these two critical fields. The book begins by explaining the commonalities and differences in the fields of data science, artificial intelligence, and autonomy by giving a historical perspective for each of these fields, followed by exploration of common technologies and current trends in each field. The book also readers introduces to applications of deep learning in industry with an overview of deep learning and its key architectures, as well as a survey and discussion of the main applications of deep learning. The book also presents case studies to illustrate applications of AI and analytics. These include a case study from the healthcare industry and an investigation of a digital transformation enabled by AI and analytics transforming a product-oriented company into one delivering solutions and services. The book concludes with a proposed AI-informed data analytics life cycle to be applied to unstructured data.
Harnessing Ai For Business Development And Sales
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Author : Rick Spair
language : en
Publisher: Rick Spair
Release Date :
Harnessing Ai For Business Development And Sales written by Rick Spair and has been published by Rick Spair this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
In an era defined by rapid technological advancements, businesses are increasingly turning to Artificial Intelligence (AI) to drive growth, innovation, and competitive advantage. From automating routine tasks to providing deep insights into customer behavior, AI has the potential to transform every aspect of business development and sales. However, the journey to integrating AI effectively into business processes is fraught with challenges, requiring a comprehensive understanding of AI technologies, strategic planning, and a commitment to ethical practices. This book, "Harnessing AI for Business Development and Sales," is a comprehensive guide designed to help businesses navigate the complexities of AI adoption. It explores the transformative potential of AI, providing insights into how businesses can leverage AI to enhance their operations, engage customers more effectively, and drive sustainable growth. Each chapter delves into critical aspects of AI in business, from foundational concepts and advanced applications to ethical considerations and future trends. Why This Book? As AI continues to evolve, its applications in business development and sales are becoming more sophisticated and far-reaching. However, many businesses struggle to understand where to begin, how to implement AI effectively, and how to measure its impact. This book aims to bridge that gap by offering practical insights, real-world examples, and actionable strategies. What You'll Learn Foundational Concepts: The book starts with an introduction to AI, its historical evolution, and its relevance to business development and sales. It provides a solid foundation for understanding AI technologies and their applications. Practical Applications: Each chapter explores specific applications of AI in business, such as market research, lead generation, customer relationship management, sales forecasting, and personalized marketing. Detailed examples and case studies illustrate how leading companies are leveraging AI to achieve remarkable results. Ethical Considerations: With great power comes great responsibility. The book addresses the ethical implications of using AI in business, offering guidelines for responsible AI implementation. Topics such as fairness, transparency, data privacy, and bias mitigation are thoroughly discussed. Future Trends: The final chapters look ahead to the future of AI in business development and sales, exploring emerging trends and technologies that will shape the landscape. Readers will gain insights into how to stay ahead of the curve and prepare for the next wave of AI innovations. Who Should Read This Book? This book is for business leaders, sales professionals, marketers, and anyone interested in understanding and leveraging AI for business success. Whether you are a seasoned executive looking to integrate AI into your strategic planning or a newcomer eager to explore the potential of AI, this book provides valuable insights and practical advice. How to Use This Book Each chapter is structured to be both informative and actionable. Key concepts are explained clearly, and practical examples and case studies provide real-world context. The book also includes checklists, frameworks, tools, resources, and best practices that you can apply directly to your business. Conclusion By harnessing the power of AI, businesses can unlock new opportunities, drive innovation, and achieve sustainable growth. This book is your guide to navigating the AI landscape, understanding its potential, and implementing it effectively in your business development and sales strategies.Welcome to "Harnessing AI for Business Development and Sales."
Tableau For Salesforce
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Author : Damiana Spadafora
language : en
Publisher: BPB Publications
Release Date : 2024-03-29
Tableau For Salesforce written by Damiana Spadafora and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.
Connect, analyze, decide: Seamless integration of Tableau and Salesforce KEY FEATURES ● Successfully connect Tableau with Salesforce CRM. ● Use Tableau and Salesforce to analyze data and create dynamic visualizations. ● Translate analytical findings into tangible business strategies and actions. DESCRIPTION Tableau is a powerful data visualization tool, and Salesforce CRM is the most successful customer relationship management software. Companies often use these two tools to analyze data and create visualizations. The book starts with an introduction to both Tableau and Salesforce CRM. It then goes on to show how you can connect Tableau with Salesforce CRM and link the two tools. Then, it walks through some of the key features of this connection that allow for seamless data analysis and visualization. It then moves on to advanced use cases, combining Salesforce and Tableau for advanced analytics and decision-making. After reading this book, the reader will have the knowledge to start using both tools to analyze real-world CRM data and create CRM analytical dashboards that generate value for their companies. WHAT YOU WILL LEARN ● Successfully connect Tableau with Salesforce CRM, and overcome common challenges faced during integration. ● Effectively use Tableau and Salesforce together to analyze data and create dynamic visualizations that are actionable and insightful. ● Combine the power of Salesforce and Tableau to create more complex analyses, aiding in strategic decision-making. ● Design and implement CRM-specific dashboards using Tableau, catering to the unique needs of CRM data analytics. ● Translate analytical findings into tangible business strategies and actions, thereby driving value and growth for your company. WHO THIS BOOK IS FOR This book is targeted at people who are interested in Tableau and Salesforce. This includes Tableau Desktop users in organizations with Salesforce CRM and Salesforce consultants or administrators. TABLE OF CONTENTS 1. Introducing Salesforce and Tableau 2. Setting Up Salesforce with Tableau 3. Building and Integrating Data Pipelines 4. Exploring Charts, Graphs, and Dashboards 5. Extracting Deeper Insights with Funnels, Maps, and Hybrid Visualizations 6. Dealing with Complex Visualizations, Customizations, and APIs 7. Integration, Authentication, and Tableau Viz LWC 8. Blending Tableau with Traditional CRM Analytics 9. Exploring Einstein AI and Advanced Analytics 10. Troubleshooting, Tricks, and Best Practices
The Future Of Education Integrating Ai In The Classroom
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Author : Balasubramanian Thiagarajan
language : en
Publisher: Otolaryngology online
Release Date : 2024-10-07
The Future Of Education Integrating Ai In The Classroom written by Balasubramanian Thiagarajan and has been published by Otolaryngology online this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-07 with Computers categories.
In recent years, **Artificial Intelligence (AI)** has rapidly transformed many industries, and education is no exception. As the world embraces the digital age, AI is poised to become an integral part of the educational landscape, reshaping how we teach, learn, and manage educational systems. This book, *The Future of Education: Integrating AI in the Classroom*, explores the profound impact AI is having on education and offers a glimpse into the future of learning in an AI-driven world. The journey to transform education through AI has only just begun, but the potential is immense. AI offers unparalleled opportunities to personalize learning, automate administrative tasks, and create smarter, more engaging learning environments. Through AI, educators can identify the unique needs of each student, providing customized learning paths that adjust in real-time based on a student’s progress. Meanwhile, AI-powered tools allow teachers to focus more on inspiring creativity, critical thinking, and problem-solving, rather than getting bogged down in time-consuming tasks like grading. This book delves into these opportunities and challenges, providing educators, administrators, and policymakers with insights into the current and future applications of AI in education. It highlights how AI is helping to create more equitable learning environments, enabling even the most underserved students to access high-quality education. At the same time, the book discusses the ethical considerations of AI—ensuring that the use of AI technologies is inclusive, unbiased, and respects students’ privacy. Through practical strategies and real-world applications, this book offers a roadmap for integrating AI into the classroom effectively. It is designed to empower educators with the knowledge and tools to harness AI in ways that enhance teaching and learning, foster collaboration, and drive educational innovation. As we embark on this exciting journey, it is essential to recognize that AI will not replace teachers but instead serve as a powerful tool to augment their capabilities. By doing so, we can ensure that the future of education is not only more efficient but also more personalized, engaging, and impactful for every learner.