data views marketing cloud: The AMPscript Guide Adam Spriggs, Eliot Harper, 2019-08-02 AMPscript is a scripting language for Salesforce Marketing Cloud. You can use it to create highly sophisticated, personalized content through an extensive set of functions.The language follows a simple syntax and semantics. With an understanding of the fundamentals, you can quickly gain proficiency in AMPscript - no prior experience in scripting languages is needed.This book extends the existing Salesforce documentation to provide an authoritative reference manual on AMPscript. Whether you are inexperienced in writing scripts or are already highly proficient in AMPscript, this book will enable you to enjoy rapid development through clear explanations and extensive documentation on all AMPscript functions, including real-world supporting code samples for you to reuse. |
data views marketing cloud: Salesforce Marketing Cloud For Dummies Chester Bullock, Mark Pollard, 2017-10-30 Salesforce Marketing Cloud: Take your digital marketing on a journey! Everything seems to be moving to the cloud these days—and digital marketing is no exception! Salesforce Marketing Cloud For Dummies guides you through the use of Salesforce's exciting suite of cloud-based digital marketing solutions, which have the power to help you plan, personalize, and optimize your customers' journey. Written by a leader of the Salesforce training and development team, Salesforce Marketing Cloud users will find essential information on using the suite of tools and tips and tricks that only an insider would be able to share. With easy-to-follow instructions, this guide helps you discover how to incorporate your data sets into the tools to create models, campaigns, and customer maps that enable you to create a positive experience for your customers. As Salesforce.com's multi-channel digital marketing platform, the Salesforce Marketing Cloud focuses on helping you manage one-on-one customer journeys. Leveraging a variety of features, this suite of tools offers email marketing, mobile marketing, social media marketing, content and messaging, predictive intelligence, and more. Your ability to navigate these features and functions will determine your digital marketing campaign's success, so it's critical that you make the most of this tool! Navigate and manage the Salesforce Marketing Cloud Define and understand your customers' journeys—and how you fit into them Engage your customers across devices, ensuring consistent communication Use predictive data to optimize engagement Salesforce Marketing Cloud For Dummies helps you make the most of your investment in the digital marketing world! |
data views marketing cloud: Automating Salesforce Marketing Cloud Greg Gifford, Jason Hanshaw, 2022-04-18 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 for This 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. |
data views marketing cloud: Hands-On Salesforce Data Cloud Joyce Kay Avila, 2024-08-09 Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud platform. This practical book provides a comprehensive overview that shows architects, administrators, developers, data engineers, and marketers how to ingest, store, and manage real-time customer data. Author Joyce Kay Avila demonstrates how to use Salesforce's native connectors, canonical data model, and Einstein's built-in trust layer to accelerate your time to value. You'll learn how to leverage Salesforce's low-code/no-code functionality to expertly build a Data Cloud foundation that unlocks the power of structured and unstructured data. Use Data Cloud tools to build your own predictive models or leverage third-party machine learning platforms like Amazon SageMaker, Google Vertex AI, and Databricks. This book will help you: Develop a plan to execute a CDP project effectively and efficiently Connect Data Cloud to external data sources and build out a Customer 360 Data Model Leverage data sharing capabilities with Snowflake, BigQuery, Databricks, and Azure Use Salesforce Data Cloud capabilities for identity resolution and segmentation Create calculated, streaming, visualization, and predictive insights Use Data Graphs to power Salesforce Einstein capabilities Learn Data Cloud best practices for all phases of the development lifecycle |
data views marketing cloud: Salesforce Marketing Cloud For Dummies Chester Bullock, Mark Pollard, 2017-10-13 Salesforce Marketing Cloud: Take your digital marketing on a journey! Everything seems to be moving to the cloud these days—and digital marketing is no exception! Salesforce Marketing Cloud For Dummies guides you through the use of Salesforce's exciting suite of cloud-based digital marketing solutions, which have the power to help you plan, personalize, and optimize your customers' journey. Written by a leader of the Salesforce training and development team, Salesforce Marketing Cloud users will find essential information on using the suite of tools and tips and tricks that only an insider would be able to share. With easy-to-follow instructions, this guide helps you discover how to incorporate your data sets into the tools to create models, campaigns, and customer maps that enable you to create a positive experience for your customers. As Salesforce.com's multi-channel digital marketing platform, the Salesforce Marketing Cloud focuses on helping you manage one-on-one customer journeys. Leveraging a variety of features, this suite of tools offers email marketing, mobile marketing, social media marketing, content and messaging, predictive intelligence, and more. Your ability to navigate these features and functions will determine your digital marketing campaign's success, so it's critical that you make the most of this tool! Navigate and manage the Salesforce Marketing Cloud Define and understand your customers' journeys—and how you fit into them Engage your customers across devices, ensuring consistent communication Use predictive data to optimize engagement Salesforce Marketing Cloud For Dummies helps you make the most of your investment in the digital marketing world! |
data views marketing cloud: Customer Data Platforms Martin Kihn, Christopher B. O'Hara, 2020-11-06 Master the hottest technology around to drive marketing success Marketers are faced with a stark and challenging dilemma: customers demand deep personalization, but they are increasingly leery of offering the type of personal data required to make it happen. As a solution to this problem, Customer Data Platforms have come to the fore, offering companies a way to capture, unify, activate, and analyze customer data. CDPs are the hottest marketing technology around today, but are they worthy of the hype? Customer Data Platforms takes a deep dive into everything CDP so you can learn how to steer your firm toward the future of personalization. Over the years, many of us have built byzantine “stacks” of various marketing and advertising technology in an attempt to deliver the fabled “right person, right message, right time” experience. This can lead to siloed systems, disconnected processes, and legacy technical debt. CDPs offer a way to simplify the stack and deliver a balanced and engaging customer experience. Customer Data Platforms breaks down the fundamentals, including how to: Understand the problems of managing customer data Understand what CDPs are and what they do (and don't do) Organize and harmonize customer data for use in marketing Build a safe, compliant first-party data asset that your brand can use as fuel Create a data-driven culture that puts customers at the center of everything you do Understand how to use AI and machine learning to drive the future of personalization Orchestrate modern customer journeys that react to customers in real-time Power analytics with customer data to get closer to true attribution In this book, you’ll discover how to build 1:1 engagement that scales at the speed of today’s customers. |
data views marketing cloud: Salesforce For Dummies Liz Kao, Jon Paz, 2019-12-12 Get up to lightning speed with this fully updated, bestselling guide to using Salesforce.com! Salesforce.com For Dummies, 7th Edition gives you an edge in building relationships and managing your company's sales, marketing, customer service, and support operations. You’ll learn how to maximize the new user interface to organize contacts, schedule business appointments, use forecasting tools to predict upcoming sales, make accurate projects based on past performance, and more. Written by Salesforce.com insiders with years of expertise in CRM services, this new edition covers the latest enhancements to Salesforce.com, the world's most popular customer relationship management software. You’ll find out how to determine the right configuration to suit your business needs, and how to use apps, widgets, and tools to personalize your system. Then, you’ll explore prospecting leads, managing accounts and partners, developing contacts, tracking products, calculating forecasts, and utilizing service and support. Customize the new user interface with apps, widgets, and tools Prospect leads, drive sales, and provide outstanding customer service Manage contacts, identify opportunities, and analyze your results Collaborate with colleagues using Chatter More than 150,000 companies worldwide use Salesforce.com as their CRM solution—if you’re a new or existing user looking to maximize the potential of the new UI, this book has everything you need. |
data views marketing cloud: Developing Data Migrations and Integrations with Salesforce David Masri, 2018-12-18 Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a go-to place for all your organization's customer information. When companies choose to roll out Salesforce, users expect it to be the place to find any and all Information related to a customer—the coveted Client 360° view. On the day you go live, users expect to see all their accounts, contacts, and historical data in the system. They also expect that data entered in other systems will be exposed in Salesforce automatically and in a timely manner. This book shows you how to migrate all your legacy data to Salesforce and then design integrations to your organization's mission-critical systems. As the Salesforce platform grows more powerful, it also grows in complexity. Whether you are migrating data to Salesforce, or integrating with Salesforce, it is important to understand how these complexities need to be reflected in your design. Developing Data Migrations and Integrations with Salesforce covers everything you need to know to migrate your data to Salesforce the right way, and how to design low-maintenance, high-performing data integrations with Salesforce. This book is written by a practicing Salesforce integration architect with dozens of Salesforce projects under his belt. The patterns and practices covered in this book are the results of the lessons learned during those projects. What You’ll Learn Know how Salesforce’s data engine is architected and why Use the Salesforce Data APIs to load and extract data Plan and execute your data migration to Salesforce Design low-maintenance, high-performing data integrations with Salesforce Understand common data integration patterns and the pros and cons of each Know real-time integration options for Salesforce Be aware of common pitfalls Build reusable transformation code covering commonly needed Salesforce transformation patterns Who This Book Is For Those tasked with migrating data to Salesforce or building ongoing data integrations with Salesforce, regardless of the ETL tool or middleware chosen; project sponsors or managers nervous about data tracks putting their projects at risk; aspiring Salesforce integration and/or migration specialists; Salesforce developers or architects looking to expand their skills and take on new challenges |
data views marketing cloud: The Enterprise Big Data Lake Alex Gorelik, 2019-02-21 The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies such as Google, LinkedIn, and Facebook, to governments and traditional corporate enterprises. You’ll learn what a data lake is, why enterprises need one, and how to build one successfully with the best practices in this book. Alex Gorelik, CTO and founder of Waterline Data, explains why old systems and processes can no longer support data needs in the enterprise. Then, in a collection of essays about data lake implementation, you’ll examine data lake initiatives, analytic projects, experiences, and best practices from data experts working in various industries. Get a succinct introduction to data warehousing, big data, and data science Learn various paths enterprises take to build a data lake Explore how to build a self-service model and best practices for providing analysts access to the data Use different methods for architecting your data lake Discover ways to implement a data lake from experts in different industries |
data views marketing cloud: SAP Data Intelligence Dharma Teja Atluri, Devraj Bardhan, Santanu Ghosh, Snehasish Ghosh, Arindom Saha, 2021 Manage your data landscape with SAP Data Intelligence! Begin by understanding its architecture and capabilities and then see how to set up and install SAP Data Intelligence with step-by-step instructions. Walk through SAP Data Intelligence applications and learn how to use them for data governance, orchestration, and machine learning. Integrate with ABAP-based systems, SAP Vora, SAP Analytics Cloud, and more. Manage, secure, and operate SAP Data Intelligence with this all-in-one guide!In this book, you'll learn about:a. Configuration Build your SAP Data Intelligence landscape! Use SAP Cloud Appliance Library for cloud deployment, including provisioning, sizing, and accessing the launchpad. Perform on-premise installations using tools like the maintenance planner. b. Capabilities Put the core capabilities of SAP Data Intelligence to work! Manage and govern your data with the metadata explorer, use the modeler application to create data processing pipelines, create apps with the Jupyter Notebook, and more. c. Integration and Administration Integrate, manage, and operate SAP Data Intelligence! Get step-by-step instructions for integration with SAP and non-SAP systems. Learn about key administration tasks and make sure your landscape is secure and running smoothly. Highlights include:1) Configuration and installation2) Data governance3) Data processing pipelines4) Docker images5) ML Scenario Manager6) Jupyter Notebook7) Python SDK8) Integration9) Administration10) Security11) Application lifecycle management12) Use cases |
data views marketing cloud: Google BigQuery: The Definitive Guide Valliappa Lakshmanan, Jordan Tigani, 2019-10-23 Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently. Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable. |
data views marketing cloud: Salesforce B2C Solution Architect's Handbook Mike King, 2021-11-19 The ultimate handbook for new and seasoned Salesforce B2C Solution Architects who want to design seamless B2C solutions across the Salesforce Customer 360 ecosystem – including B2C Commerce, Service Cloud, and Marketing Cloud Key Features Give your customers a frictionless experience by creating a unified view of all their interactions Get your architectural design right the first time and avoid costly reworks Prepare for the B2C Solution Architect exam and Salesforce certification with practical scenarios following Salesforce best practices Book DescriptionThere’s a huge demand on the market for Salesforce professionals who can create a single view of the customer across the Salesforce Customer 360 platform and leverage data into actionable insights. With Salesforce B2C Solution Architect's Handbook, you’ll gain a deeper understanding of the integration options and products that help you deliver value for organizations. While this book will help you prepare for the B2C Solution Architect exam, its true value lies in setting you up for success afterwards. The first few chapters will help you develop a solid understanding of the capabilities of each component in the Customer 360 ecosystem, their data models, and governance. As you progress, you'll explore the role of a B2C solution architect in planning critical requirements and implementation sequences to avoid costly reworks and unnecessary delays. You’ll learn about the available options for integrating products with the Salesforce ecosystem and demonstrate best practices for data modeling across Salesforce products and beyond. Once you’ve mastered the core knowledge, you'll also learn about tools, techniques, and certification scenarios in preparation for the B2C Solution Architect exam. By the end of this book, you’ll have the skills to design scalable, secure, and future-proof solutions supporting critical business demands.What you will learn Explore key Customer 360 products and their integration options Choose the optimum integration architecture to unify data and experiences Architect a single view of the customer to support service, marketing, and commerce Plan for critical requirements, design decisions, and implementation sequences to avoid sub-optimal solutions Integrate Customer 360 solutions into a single-source-of-truth solution such as a master data model Support business needs that require functionality from more than one component by orchestrating data and user flows Who this book is for This book is for professionals in high-level job roles that heavily rely on Salesforce proficiency. It’s primarily written for B2C commerce architects, application architects, integration architects, as well as system architects, enterprise architects, Salesforce architects, and CTO teams looking to benefit from a deeper understanding of this platform. Before you get started, you’ll need a solid understanding of data integration, APIs, and connected systems, along with knowledge of the fundamentals of business-to-consumer (B2C) customer experiences. |
data views marketing cloud: Programming Salesforce Marketing Cloud ZHONGCHEN ZHOU, 2019-04-03 This book introduces concepts to integrate with marketing cloud using API and build custom components in a platform agnostic way, including the following aspects: Marketing Cloud Package Custom Journey Builder Activity API Integration (Server to Server & Web App) Custom Marketing Cloud App Server Side JavaScript These concepts will be applicable to any programming language and platform. After introducing the concepts, we will implement these concepts using APEX programming language within Salesforce sale cloud. Tips, patterns and special considerations will be introduced when using APEX in sales cloud to implement these concepts, for example: how to serve custom activity configuration file; how to expose less REST service and write less APEX class and at the same time achieve right level of encapsulation; how to decode JWT passing from marketing cloud Journey Builder; how to build user interface and allow marketing cloud users without sales cloud account to access; how to display visualforce page inside marketing cloud iframes how to set up the right architecture. |
data views marketing cloud: Sales Engagement Manny Medina, Max Altschuler, Mark Kosoglow, 2019-03-12 Engage in sales—the modern way Sales Engagement is how you engage and interact with your potential buyer to create connection, grab attention, and generate enough interest to create a buying opportunity. Sales Engagement details the modern way to build the top of the funnel and generate qualified leads for B2B companies. This book explores why a Sales Engagement strategy is so important, and walks you through the modern sales process to ensure you’re effectively connecting with customers every step of the way. • Find common factors holding your sales back—and reverse them through channel optimization • Humanize sales with personas and relevant information at every turn • Understand why A/B testing is so incredibly critical to success, and how to do it right • Take your sales process to the next level with a rock solid, modern Sales Engagement strategy This book is essential reading for anyone interested in up-leveling their game and doing more than they ever thought possible. |
data views marketing cloud: Enabling the New Era of Cloud Computing: Data Security, Transfer, and Management Shen, Yushi, 2013-11-30 Cloud computing is becoming the next revolution in the IT industry; providing central storage for internet data and services that have the potential to bring data transmission performance, security and privacy, data deluge, and inefficient architecture to the next level. Enabling the New Era of Cloud Computing: Data Security, Transfer, and Management discusses cloud computing as an emerging technology and its critical role in the IT industry upgrade and economic development in the future. This book is an essential resource for business decision makers, technology investors, architects and engineers, and cloud consumers interested in the cloud computing future. |
data views marketing cloud: Ultimate Salesforce Data Cloud for Customer Experience Gourab Mukherjee, 2024-01-18 Become a Salesforce Data Cloud implementation expert. Book Description Survival in today's business landscape hinges on delivering exceptional customer experiences, and Customer Data Platforms (CDPs) are pivotal in achieving this goal. The ‘Ultimate Salesforce Data Cloud for Customer Experience' is your indispensable guide to unraveling the Salesforce ecosystem, illuminating its applications' significance in diverse business scenarios. Dive into the transformative potential of Customer Data Platforms, understanding their role in unlocking tremendous value for enterprises. Explore the prowess of Salesforce Data Cloud, a leading CDP platform, and gain practical insights into its seamless implementation. The book explores Salesforce Data Cloud architecture, gaining actionable insights for implementing both Customer Data Platforms and Salesforce Data Cloud. It will navigate the pivotal realms of data security and privacy, establishing a sturdy foundation for customer-centric strategies. The book also covers success stories that showcase the transformative outcomes achieved through the utilization of Salesforce Data Cloud. The end of the book serves as a roadmap for those aspiring to conquer the Salesforce Data Cloud Consultant exam. Table of Contents 1. Introducing Salesforce Platform 2. Introduction to Customer Data Platform 3. Going beyond CDP: Salesforce Data Cloud 4. Salesforce Data Cloud Architecture 5. Implementing a Customer Data Platform 6. Implementing Salesforce Customer Data Cloud 7. Data Security and Privacy 8. Success Stories with Salesforce Data Cloud 9. The Way Forward for Creating Great Customer Experiences 10. Preparation for the Salesforce Data Cloud Consultant Exam Index |
data views marketing cloud: SAP S/4HANA Embedded Analytics Jürgen Butsmann, Thomas Fleckenstein, Anirban Kundu, 2021 Meet your BI needs with SAP S/4HANA embedded analytics! Explore the system architecture and data model and learn how to perform analytics on live transactional data. Business user? Walk step-by-step through SAP Smart Business KPIs, dashboards, and multidimensional reporting. Analytics specialist? Master the virtual data model and report creation. Jack of all trades? Create CDS views, apply custom fields and logic, and learn to integrate SAP S/4HANA with SAP Analytics Cloud. This is your complete guide to SAP S/4HANA embedded analytics! Highlights include: 1) Architecture 2) Virtual data model (VDM) 3) CDS views 4) SAP Fiori apps 5) SAP Smart Business 6) Key performance indicators (KPIs) 7) Dashboards 8) Reporting 9) Data warehousing 10) SAP Analytics Cloud 11) Machine learning |
data views marketing cloud: Rise of the Data Cloud Frank Slootman, Steve Hamm, 2020-12-18 The rise of the Data Cloud is ushering in a new era of computing. The world’s digital data is mass migrating to the cloud, where it can be more effectively integrated, managed, and mobilized. The data cloud eliminates data siloes and enables data sharing with business partners, capitalizing on data network effects. It democratizes data analytics, making the most sophisticated data science tools accessible to organizations of all sizes. Data exchanges enable businesses to discover, explore, and easily purchase or sell data—opening up new revenue streams. Business leaders have long dreamed of data driving their organizations. Now, thanks to the Data Cloud, nothing stands in their way. |
data views marketing cloud: Data Exploration and Preparation with BigQuery Mike Kahn, 2023-11-29 Leverage BigQuery to understand and prepare your data to ensure that it's accurate, reliable, and ready for analysis and modeling Key Features Use mock datasets to explore data with the BigQuery web UI, bq CLI, and BigQuery API in the Cloud console Master optimization techniques for storage and query performance in BigQuery Engage with case studies on data exploration and preparation for advertising, transportation, and customer support data Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionData professionals encounter a multitude of challenges such as handling large volumes of data, dealing with data silos, and the lack of appropriate tools. Datasets often arrive in different conditions and formats, demanding considerable time from analysts, engineers, and scientists to process and uncover insights. The complexity of the data life cycle often hinders teams and organizations from extracting the desired value from their data assets. Data Exploration and Preparation with BigQuery offers a holistic solution to these challenges. The book begins with the basics of BigQuery while covering the fundamentals of data exploration and preparation. It then progresses to demonstrate how to use BigQuery for these tasks and explores the array of big data tools at your disposal within the Google Cloud ecosystem. The book doesn’t merely offer theoretical insights; it’s a hands-on companion that walks you through properly structuring your tables for query efficiency and ensures adherence to data preparation best practices. You’ll also learn when to use Dataflow, BigQuery, and Dataprep for ETL and ELT workflows. The book will skillfully guide you through various case studies, demonstrating how BigQuery can be used to solve real-world data problems. By the end of this book, you’ll have mastered the use of SQL to explore and prepare datasets in BigQuery, unlocking deeper insights from data.What you will learn Assess the quality of a dataset and learn best practices for data cleansing Prepare data for analysis, visualization, and machine learning Explore approaches to data visualization in BigQuery Apply acquired knowledge to real-life scenarios and design patterns Set up and organize BigQuery resources Use SQL and other tools to navigate datasets Implement best practices to query BigQuery datasets Gain proficiency in using data preparation tools, techniques, and strategies Who this book is for This book is for data analysts seeking to enhance their data exploration and preparation skills using BigQuery. It guides anyone using BigQuery as a data warehouse to extract business insights from large datasets. A basic understanding of SQL, reporting, data modeling, and transformations will assist with understanding the topics covered in this book. |
data views marketing cloud: The SAGE Handbook of Social Media Research Methods Luke Sloan, Anabel Quan-Haase, 2017-01-26 With coverage of the entire research process in social media, data collection and analysis on specific platforms, and innovative developments in the field, this handbook is the ultimate resource for those looking to tackle the challenges that come with doing research in this sphere. |
data views marketing cloud: Salesforce B2C Solution Architect's Handbook Mike King, Melissa Murphy, 2024-05-31 Design solutions across the Salesforce Customer 360 ecosystem with this definitive guide for Salesforce B2C solution architects, covering B2C Commerce, Service Cloud, Data Cloud, and Marketing Cloud Key Features Create a frictionless customer experience and a unified view of all touchpoints Avoid expensive rework by getting your architecture right the first time Use real-world scenarios and best practices to prepare for the B2C Solution Architect certification exam Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn today’s competitive landscape, the ability to create a unified view of the customer and turn data into actionable insights is a game-changer for businesses. With Salesforce B2C Solution Architect's Handbook, you’ll gain a deeper understanding of the integration options and products that help you deliver value for organizations. The book will guide you through the tools, techniques, and scenarios needed to confidently tackle the B2C Solution Architect exam. You’ll start by building a robust understanding of each component within the Customer 360 ecosystem, diving into their capabilities, data models, and governance structures. As you progress, you'll explore the role of a B2C solution architect in planning critical requirements and implementation sequences to avoid costly reworks and unnecessary delays. You’ll learn about the available options for integrating products with the Salesforce ecosystem and demonstrate best practices for data modeling across Salesforce products and beyond. By the end of this journey, you’ll not only be prepared to ace the exam but also to excel as a Salesforce B2C Solution Architect, ready to shape the future of customer engagement. What you will learn Explore key Customer 360 products and their integration options Choose the best integration architecture to unify data and experiences Plan for requirements, design choices, and implementation sequences Architect a single view of the customer to support service, marketing, and commerce Integrate Customer 360 solutions into a single-source-of-truth solution Orchestrate data and user flows to support functionality from multiple components Understand the capabilities and design considerations for Data Cloud Prepare for the B2C Solution Architect exam Who this book is for This book is for professionals in high-level job roles that heavily rely on Salesforce proficiency. It's primarily written for Salesforce technical architects, application/functional architects, integration architects, enterprise architects, and CTO teams looking to benefit from a deeper understanding of this platform. Before you get started, you should understand the fundamentals of data integration, APIs, and connected systems in general, along with knowledge of the basics of business-to-consumer (B2C) customer experiences. |
data views marketing cloud: Introduction to Marketing Analytics Prof. Dr. R. Gopal, Prof. Dr. Gagandeep Kaur Nagra, Dr. Priya Vij, 2024-10-15 Introduction to Marketing Analytics delves into the foundational elements of marketing, known as the 4Ps—Product, Price, Place, and Promotion—and expands upon them to include additional key components crucial for services marketing, such as People, Process, and Physical Evidence. These elements are vital for companies to develop coherent marketing strategies that not only attract new customers but also build long-term loyalty among existing ones. The rise of digital technologies has significantly transformed how companies engage with consumers and conduct market research. Big data analytics now allows for personalized marketing efforts, creating campaigns offering organizations the ability to better understand and respond to customer journeys. Moreover, the book highlights the growing role of artificial intelligence (AI) and machine learning in modern marketing strategies. By integrating these advanced technologies, businesses can better meet their customers’ evolving needs, outpacing the competition. It covers various analysis techniques, such as marketing mix modelling, that help organizations understand the impact of different marketing activities on sales and other key performance indicators (KPIs). Through real-life examples and case studies, this book highlights a practical guide for professionals looking to apply data-driven marketing strategies to drive growth, innovation, and sustainable success in a constantly changing market landscape. |
data views marketing cloud: Research Anthology on Edge Computing Protocols, Applications, and Integration Management Association, Information Resources, 2022-04-01 Edge computing is quickly becoming an important technology throughout a number of fields as businesses and industries alike embrace the benefits it can have in their companies. The streamlining of data is crucial for the development and evolution of businesses in order to keep up with competition and improve functions overall. In order to appropriately utilize edge computing to its full potential, further study is required to examine the potential pitfalls and opportunities of this innovative technology. The Research Anthology on Edge Computing Protocols, Applications, and Integration establishes critical research on the current uses, innovations, and challenges of edge computing across disciplines. The text highlights the history of edge computing and how it has been adapted over time to improve industries. Covering a range of topics such as bandwidth, data centers, and security, this major reference work is ideal for industry professionals, computer scientists, engineers, practitioners, researchers, academicians, scholars, instructors, and students. |
data views marketing cloud: Microservices Patterns Chris Richardson, 2018-10-27 A comprehensive overview of the challenges teams face when moving to microservices, with industry-tested solutions to these problems. - Tim Moore, Lightbend 44 reusable patterns to develop and deploy reliable production-quality microservices-based applications, with worked examples in Java Key Features 44 design patterns for building and deploying microservices applications Drawing on decades of unique experience from author and microservice architecture pioneer Chris Richardson A pragmatic approach to the benefits and the drawbacks of microservices architecture Solve service decomposition, transaction management, and inter-service communication Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About The Book Microservices Patterns teaches you 44 reusable patterns to reliably develop and deploy production-quality microservices-based applications. This invaluable set of design patterns builds on decades of distributed system experience, adding new patterns for composing services into systems that scale and perform under real-world conditions. More than just a patterns catalog, this practical guide with worked examples offers industry-tested advice to help you design, implement, test, and deploy your microservices-based application. What You Will Learn How (and why!) to use microservices architecture Service decomposition strategies Transaction management and querying patterns Effective testing strategies Deployment patterns This Book Is Written For Written for enterprise developers familiar with standard enterprise application architecture. Examples are in Java. About The Author Chris Richardson is a Java Champion, a JavaOne rock star, author of Manning’s POJOs in Action, and creator of the original CloudFoundry.com. Table of Contents Escaping monolithic hell Decomposition strategies Interprocess communication in a microservice architecture Managing transactions with sagas Designing business logic in a microservice architecture Developing business logic with event sourcing Implementing queries in a microservice architecture External API patterns Testing microservices: part 1 Testing microservices: part 2 Developing production-ready services Deploying microservices Refactoring to microservices |
data views marketing cloud: Handbook of Research on Cloud Infrastructures for Big Data Analytics Raj, Pethuru, 2014-03-31 Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises. |
data views marketing cloud: Marketing for Tourism and Hospitality Alan Fyall, Patrick Legohérel, Isabelle Frochot, Youcheng Wang, 2019-03-04 The marketing landscape has changed dramatically in recent years, especially for tourism and hospitality practitioners. Marketing for these industries is now a multi-dimensional, collaborative venture driven by technological change and the growing demand for authentic co-created experiences. Marketing for Tourism and Hospitality provides students with a contemporary, accessible and useful resource as they prepare to encounter the complexities and challenges of tourism and hospitality marketing globally. A clear articulation of the changing landscape, a comprehensive introduction to the three underpinning themes of collaboration, technology and experiences, and a plentiful supply of international case material provide students with an enjoyable and digestible resource that is both academically rigorous and practice-oriented, helping them prepare for day-to-day problems in the dynamic world of marketing. This contemporary, challenging and highly applied text is an indispensable resource for all students of tourism and hospitality degree programmes. |
data views marketing cloud: Oracle HCM Cloud Concepts - Part 2 Ashish Harbhajanka, 2018-01-20 A handy reference guide explaining core concepts of Oracle HCM Cloud Application. All the worked-out examples have been performed in a SaaS Deployment but very well applies for an On-Premise of Hybrid Deployment Model too. Topics covered includes Fast Formula Examples, Setting Up Banner in Oracle Cloud Application, Schedule Trigger, Agents, Dependent Parameters, Using SET Operators in OTBI Analysis, Overview of Approval Rules, Creating Comma Separated Value Reports, Password Protected PDF Reports, Creating E-Text Templates, Conditional Formatting, Creating Notification Template, Simulate Navigator, Creating Custom Payroll Flow Patterns, Creating Custom Independent Value Set, Role Provisioning and De-Provisioning and much more.. |
data views marketing cloud: Mobile Marketing Management Hongbing Hua, 2019-03-18 With the development of mobile internet technology, people’s lifestyle and consumer behavior are changing rapidly. Nowadays, the products on the market are updating more and more frequently, and the traditional marketing theory and brand theory fail to get with the mobile internet. So, what’s the innovative marketing to take in the new era? Since 2012, China has entered into the mobile era, and became a major country of mobile internet application. The book summarizes the experience of the author accumulated from many trials and errors in management and marketing innovation, so as to form the pattern of management and marketing for the next 30 years. Mobile Marketing Management lays the foundation for the new era with four pillars: service, substance, superuser, space, known as 4S theory for short. In view of the concept of customer-first, it is all about service, and products become productized service concepts. In view of the failure of mass communication, the competition among all services becomes the competition of substance differentiation. Regarding the popularity of self-organization, it becomes a trend to cooperate with people rather than the company to develop the market. In view of the principle of fuzzy market boundary, the enterprises shall optimize their living space and evolve their development space. This book contains numerous case studies along with analysis and creates the discipline of mobile marketing management, providing innovative theories, methods and tools for the marketing of enterprises. Through this book, readers can master the marketing methods of the mobile internet era. They can apply the marketing theory in this book to guide the marketing practice, thus improving marketing efficiency and reducing marketing costs. |
data views marketing cloud: Trailblazer Marc Benioff, Monica Langley, 2019-10-15 NEW YORK TIMES BESTSELLER • The founder and co-CEO of Salesforce delivers an inspiring vision for successful companies of the future—in which changing the world is everyone’s business. “The gold standard on how to use business as a platform for change at this urgent time.”—Ray Dalio, founder of Bridgewater Associates and author of Principles: Life and Work What’s the secret to business growth and innovation and a purpose-driven career in a world that is becoming vastly more complicated by the day? According to Marc Benioff, the answer is embracing a culture in which your values permeate everything you do. In Trailblazer, Benioff gives readers a rare behind-the-scenes look at the inner workings of one of the world’s most admired companies. He reveals how Salesforce’s core values—trust, customer success, innovation, and equality—and commitment to giving back have become the company’s greatest competitive advantage and the most powerful engine of its success. Because no matter what business you’re in, Benioff says, values are the bedrock of a resilient company culture that inspires all employees, at every level, to do the best work of their lives. Along the way, he shares insights and best practices for anyone who wants to cultivate a company culture positioned to thrive in the face of the inevitable disruption ahead. None of us in the business world can afford to sit on the sidelines and ignore what’s going on outside the walls of our workplaces. In the future, profits and progress will no longer be sustainable unless they serve the greater good. Whether you run a company, lead a small team, or have just draped an ID badge around your neck for the first time, Trailblazer reveals how anyone can become an agent of change. Praise for Trailblazer “A guide for what every business and organization must do to thrive in this period of profound political and economic change.”—Jamie Dimon, chairman and CEO of JPMorgan Chase “In Trailblazer, Benioff explores how companies can nurture a values-based culture to become powerful platforms for change.”—Susan Wojcicki, CEO of YouTube |
data views marketing cloud: Digital and Social Media Marketing Nripendra P. Rana, Emma L. Slade, Ganesh P. Sahu, Hatice Kizgin, Nitish Singh, Bidit Dey, Anabel Gutierrez, Yogesh K. Dwivedi, 2019-11-11 This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing. |
data views marketing cloud: Improving Business Performance Through Innovation in the Digital Economy Oncioiu, Ionica, 2019-09-06 In the 21st century, advancements in the digital world are bringing about rapid waves of change in organizational management. As such, it is increasingly imperative to discover ways for businesses to adapt to changes in the markets and seize various digital marketing opportunities. Improving Business Performance Through Innovation in the Digital Economy is an essential reference source for the latest research on the impact of digital computing. It investigates new economic and entrepreneurial approaches to enhancing community development. Featuring research on topics such as business ethics, mobile technology, and cyber security, this book is ideally designed for knowledge workers, business managers, executives, entrepreneurs, small and medium enterprise managers, academicians, researchers, students, and global leaders seeking coverage on the management of sustainable enterprises. |
data views marketing cloud: Designing Dashboards with SAP Analytics Cloud Erik Bertram, James Charlton, Nina Hollender, Melanie Holzapfel, Nico Licht, Carmen Paduraru, 2021-07-28 SAP Analytics Cloud is overflowing with visualization options. Charts, tables, drilldowns, geomaps--if you can dream it, you can design and build it. Learn how to create a dashboard for any use case, from acquired data dashboards and responsive mobile dashboards to HR dashboards using SAP SuccessFactors data. Follow step-by-step instructions to structure your data, choose the relevant features, and then implement them. Contains custom-designed dashboards for each chapter! Highlights include: 1) Dashboard design 2) Live data connections 3) Acquired data dashboards 4) Planning dashboards 5) Responsive mobile dashboards 6) SAP SuccessFactors dashboards 7) Qualtrics dashboards 8) R visualizations 9) Analytics designer 10) SAP Digital Boardroom |
data views marketing cloud: Salesforce Data Architect Certification Guide Aaron Allport, 2022-11-18 Learn data architecture essentials and prepare for the Salesforce Certified Data Architect exam with the help of tips and mock test questions Key FeaturesLeverage data modelling, Salesforce database design, and techniques for effective data designLearn master data management, Salesforce data management, and how to include considerationsGet to grips with large data volumes, performance tuning, and poor performance mitigation techniquesBook Description The Salesforce Data Architect is a prerequisite exam for the Application Architect half of the Salesforce Certified Technical Architect credential. This book offers complete, up-to-date coverage of the Salesforce Data Architect exam so you can take it with confidence. The book is written in a clear, succinct way with self-assessment and practice exam questions, covering all the topics necessary to help you pass the exam with ease. You'll understand the theory around Salesforce data modeling, database design, master data management (MDM), Salesforce data management (SDM), and data governance. Additionally, performance considerations associated with large data volumes will be covered. You'll also get to grips with data migration and understand the supporting theory needed to achieve Salesforce Data Architect certification. By the end of this Salesforce book, you'll have covered everything you need to know to pass the Salesforce Data Architect certification exam and have a handy, on-the-job desktop reference guide to re-visit the concepts. What you will learnUnderstand the topics relevant to passing the Salesforce Data Architect examExplore specialist areas, such as large data volumesTest your knowledge with the help of exam-like questionsPick up useful tips and tricks that can be referred to time and againUnderstand the reasons underlying the way Salesforce data management worksDiscover the techniques that are available for loading massive amounts of dataWho this book is for This book is for both aspiring Salesforce data architects and those already familiar with Salesforce data architecture who want to pass the exam and have a reference guide to revisit the material as part of their day-to-day job. Working knowledge of the Salesforce platform is assumed, alongside a clear understanding of Salesforce architectural concepts. |
data views marketing cloud: Social Media Measurement and Management Jeremy Harris Lipschultz, 2019-06-25 This new textbook applies a critical and practical lens to the world of social media analytics. Author Jeremy Harris Lipschultz explores the foundations of digital data, strategic tools, and best practices in an accessible volume for students and practitioners of social media communication. The book expands upon entrepreneurship, marketing, and technological principles, demonstrating how raising awareness, sparking engagement, and producing business outcomes all require emphasis on customers, employees, and other stakeholders within paid, earned, social, and owned media. It also looks to the future, examining how the movement toward artificial intelligence and machine learning raises new legal and ethical issues in effective management of social media data. Additionally, the book offers a solid grounding in the principles of social media measurement itself, teaching the strategies and techniques that enable effective analysis. A perfect primer for this developing industry, Social Media Measurement: Entrepreneurial Digital Analytics is ideal for students, scholars, and practitioners of digital media seeking to hone their skills and expand their bank of tools and resources. It features theoretical and practical advice, a comprehensive glossary of key terms, and case studies from key industry thought leaders. |
data views marketing cloud: Mining of Massive Datasets Jure Leskovec, Jurij Leskovec, Anand Rajaraman, Jeffrey David Ullman, 2014-11-13 Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets. |
data views marketing cloud: Learning SAP Analytics Cloud Riaz Ahmed, 2017-07-10 Start making better business decisions backed by data About This Book Predict new opportunities and risks in a few mouse clicks Eliminate complexity with tools that let you plan, analyze, and collaborate in context—in real time Discover, visualize, plan, and predict in a single product with agile BI tools Who This Book Is For This book targets IT professionals, business analysts, BI developers, managers, newcomers to SAP Analytics Cloud, and ultimately anyone who wants to learn from self-paced, professional guidance and needs a solid foundation in SAP Analytics Cloud. What You Will Learn A clear understanding of SAP Analytics Cloud platform Create data models using different data sources, including Excel and text files . Present professional analyses using different types of charts, tables, geo maps, and more Using stories, drill up and down instantly to analyze data from various angles Share completed stories with other team members or compile them in SAP Digital Boardroom agendas for presentation to major stakeholders Export the results of a story to a PDF file Save time by planning, analyzing, predicting, and collaborating in context Discover, visualize, plan, and predict in one product as opposed to separate solutions In Detail The book starts with the basics of SAP Analytics Cloud (formerly known as SAP BusinessObjects Cloud) and exposes almost every significant feature a beginner needs to master. Packed with illustrations and short, essential, to-the-point descriptions, the book provides a unique learning experience. Your journey of exploration starts with a basic introduction to the SAP Analytics Cloud platform. You will then learn about different segments of the product, such as Models, Stories, Digital Boardroom, and so on. Then, you are introduced to the product's interface: the Home screen, the main menu, and more. Then comes the hands-on aspect of the book, which starts with model creation. Next, you learn how to utilize a model to prepare different types of stories(reports) with the help of charts, tables, Geo Maps, and more. In the final chapters of this book, you will learn about Digital Boardroom, Collaboration, and Administration. Style and approach The easy-to-follow visual instructions provided in this book help business users and report developers create simple and complex stories (reports) quickly |
data views marketing cloud: Data Science Vijay Kotu, Bala Deshpande, 2018-11-27 Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. You'll be able to: - Gain the necessary knowledge of different data science techniques to extract value from data. - Master the concepts and inner workings of 30 commonly used powerful data science algorithms. - Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more... - Contains fully updated content on data science, including tactics on how to mine business data for information - Presents simple explanations for over twenty powerful data science techniques - Enables the practical use of data science algorithms without the need for programming - Demonstrates processes with practical use cases - Introduces each algorithm or technique and explains the workings of a data science algorithm in plain language - Describes the commonly used setup options for the open source tool RapidMiner |
data views marketing cloud: Oracle CX Cloud Suite Kresimir Juric, 2019-03-30 Gain a complete overview of Oracle CX Cloud Suite and its tools for functions ranging from marketing to sales and commerce to service Key FeaturesMake optimal use of your Oracle CX Cloud Suite to improve business resultsAchieve improved customer insights through Oracle CX’s advanced capabilitiesLearn how to design a CX solution architectureBook Description Oracle CX Cloud offers features and capabilities that help companies excel at sales, customer management, and much more. This book is a detailed guide to implementing cloud solutions and helping administrators of all levels thoroughly understand the platform. Oracle CX Cloud Suite begins with an introduction to high-level Oracle architecture and examines what CX offers over CRM. You’ll explore the different cloud-based tools for marketing, sales, and customer services, among others. The book then delves into deployment by covering basic settings, setting up users, and provisioning. You’ll see how to integrate the CX suite to work together to interact with the environment and connect with legacy systems, social connectors, and internet services. The book concludes with a use case demonstrating how the entire Oracle CX Suite is set up, and also covers how to leverage Oracle ICS and Oracle CX Cloud for hybrid deployment. By end of the book, you will have learned about the working of the Oracle CX Cloud Suite and how to orchestrate user experience across all products seamlessly. What you will learnDifferentiate between Oracle CRM and CX Cloud suitesExplore a variety of Oracle CX Cloud tools for marketing and salesSet up users and database connections during deploymentEmploy Cloud Suite CX tools to aid in planning and analysisImplement hybrid Oracle CX solutions and connect with legacy systemsIntegrate with social media connectors like Facebook and LinkedInLeverage Oracle ICS and Oracle CX Suite to improve business resultsWho this book is for This book is for administrators who want to develop and strengthen their Oracle CX Cloud Suite skills in the areas of configuration and system management. Whether you are a new administrator or an experienced professional, this book will enhance your understanding of the new Oracle CX features. |
data views marketing cloud: Business Intelligence Strategy and Big Data Analytics Steve Williams, 2016-04-08 Business Intelligence Strategy and Big Data Analytics is written for business leaders, managers, and analysts - people who are involved with advancing the use of BI at their companies or who need to better understand what BI is and how it can be used to improve profitability. It is written from a general management perspective, and it draws on observations at 12 companies whose annual revenues range between $500 million and $20 billion. Over the past 15 years, my company has formulated vendor-neutral business-focused BI strategies and program execution plans in collaboration with manufacturers, distributors, retailers, logistics companies, insurers, investment companies, credit unions, and utilities, among others. It is through these experiences that we have validated business-driven BI strategy formulation methods and identified common enterprise BI program execution challenges. In recent years, terms like big data and big data analytics have been introduced into the business and technical lexicon. Upon close examination, the newer terminology is about the same thing that BI has always been about: analyzing the vast amounts of data that companies generate and/or purchase in the course of business as a means of improving profitability and competitiveness. Accordingly, we will use the terms BI and business intelligence throughout the book, and we will discuss the newer concepts like big data as appropriate. More broadly, the goal of this book is to share methods and observations that will help companies achieve BI success and thereby increase revenues, reduce costs, or both. - Provides ideas for improving the business performance of one's company or business functions - Emphasizes proven, practical, step-by-step methods that readers can readily apply in their companies - Includes exercises and case studies with road-tested advice about formulating BI strategies and program plans |
data views marketing cloud: Cloud Technology: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2014-10-31 As the Web grows and expands into ever more remote parts of the world, the availability of resources over the Internet increases exponentially. Making use of this widely prevalent tool, organizations and individuals can share and store knowledge like never before. Cloud Technology: Concepts, Methodologies, Tools, and Applications investigates the latest research in the ubiquitous Web, exploring the use of applications and software that make use of the Internets anytime, anywhere availability. By bringing together research and ideas from across the globe, this publication will be of use to computer engineers, software developers, and end users in business, education, medicine, and more. |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …