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| data cloud for marketing: Ultimate Salesforce Data Cloud for Customer Experience Gourab Mukherjee, 2024-01-16 Become a Salesforce Data Cloud implementation expert. KEY FEATURES ● Explore the ways Salesforce Data Cloud can help your organization improve customer experience. ● A practical guide to implementation and best practices, walking through the process of implementing a Customer Data Platform. ● Prepare for the Salesforce Data Cloud Consultant exam and become a certified Salesforce Data Cloud practitioner. 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. WHAT WILL YOU LEARN ● Master the dynamics of Customer Data Platforms (CDPs) exploring their fundamentals and significance. ● Demystify Salesforce Data Cloud Architecture by delving into the framework. ● Gain insights into the intricacies of implementing a Customer Data Platforms (CDPs) project. ● Develop skills to engage in Salesforce Data Cloud implementation projects as functional consultants or project managers. ● Comprehend best practices for data security and privacy of the Salesforce Data Cloud. ● Prepare to successfully attempt the Salesforce Data Cloud certification exam. WHO IS THIS BOOK FOR? The book is for all working professionals, students, managers, or anyone wishing to kickstart their journey in the exciting world of customer data platforms and customer experience management. Those looking to get certified as a Salesforce Data Cloud consultant should use this book to aid their preparation. 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 cloud for marketing: 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 cloud for marketing: 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 cloud for marketing: 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 cloud for marketing: 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 cloud for marketing: 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 cloud for marketing: 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 cloud for marketing: 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 cloud for marketing: 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 cloud for marketing: Behind the Cloud Marc Benioff, Carlye Adler, 2009-10-19 How did salesforce.com grow from a start up in a rented apartment into the world's fastest growing software company in less than a decade? For the first time, Marc Benioff, the visionary founder, chairman and CEO of salesforce.com, tells how he and his team created and used new business, technology, and philanthropic models tailored to this time of extraordinary change. Showing how salesforce.com not only survived the dotcom implosion of 2001, but went on to define itself as the leader of the cloud computing revolution and spark a $46-billion dollar industry, Benioff's story will help business leaders and entrepreneurs stand out, innovate better, and grow faster in any economic climate. In Behind the Cloud, Benioff shares the strategies that have inspired employees, turned customers into evangelists, leveraged an ecosystem of partners, and allowed innovation to flourish. |
| data cloud for marketing: Cloud and Virtual Data Storage Networking Greg Schulz, 2011-08-26 The amount of data being generated, processed, and stored has reached unprecedented levels. Even during the recent economic crisis, there has been no slow down or information recession. Instead, the need to process, move, and store data has only increased. Consequently, IT organizations are looking to do more with what they have while supporting gr |
| data cloud for marketing: To the Cloud Vincent Mosco, 2015-11-17 Cloud computing and big data are arguably the most significant forces in information technology today. In the wake of revelations about National Security Agency (NSA) activities, many of which occur in the cloud, this book offers both enlightenment and a critical view. Vincent Mosco explores where the cloud originated, what it means, and how important it is for business, government and citizens. He describes the intense competition among cloud companies like Amazon and Google, the spread of the cloud to government agencies like the controversial NSA, and the astounding growth of entire cloud cities in China. Is the cloud the long-promised information utility that will solve many of the world's economic and social problems? Or is it just marketing hype? To the Cloud provides the first thorough analysis of the potential and the problems of a technology that may very well disrupt the world. |
| data cloud for marketing: Salesforce Data Cloud Architect's Handbook Eliot Harper, 2024-06-30 Discover platform concepts, architecture patterns, and best-practice methodologies for designing, integrating, and activating customer data using Salesforce Data Cloud. This comprehensive guide will equip you with a framework for discovery, design and data integration following a well-architected approach to achieve optimal harmonization, modeling, and activation of customer data at scale. |
| data cloud for marketing: 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 cloud for marketing: 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 cloud for marketing: Hands-On Salesforce Einstein Studio and GPT Intelligence Joseph Kubon, Luke Pond, Andy Forbes, Melissa Shepard, Philip Safir, 2024-09-27 Prepare for the future of CRM with the first exclusive guide to optimizing Salesforce automations with Einstein Copilots Key Features Gain essential insights to seamlessly transition from traditional model to AI-driven models and optimize CRM workflows Configure and integrate AI tools with various Salesforce components to achieve enhanced functionality Learn from seasoned Salesforce experts to drive business growth and improve customer experiences Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSalesforce continues to expand the capabilities of Einstein Copilot, ensuring its ability to meet evolving critical business needs. This definitive guide to implementing Salesforce Einstein Copilot is written by a team of highly experienced Salesforce professionals with decades of experience in AI, data engineering, and Salesforce solutions. The book showcases practical use cases and offers strategic insights into AI integration within CRM systems, providing you with a comprehensive understanding of how to leverage this powerful tool. You’ll develop a thorough understanding of various use cases and practical applications of Einstein Copilot across different Salesforce clouds, including Sales, Service, Marketing, and Commerce. Equipped with strategic insights from seasoned Salesforce experts, you’ll be prepared to navigate the future of AI-driven CRM, enhancing your ability to drive productivity and innovation within your organization. Ultimately, you’ll become well versed in the transformative potential of AI, ready to harness its power to achieve superior business outcomes. By the end of this book, you’ll be able to effectively implement Salesforce Einstein Copilot within your CRM systems, leveraging AI to optimize information and streamline business processes. What you will learn Use Prompt Builder, Model Builder, and Copilot Actions to drive enhanced productivity for sales and service teams Create and manage effective user prompts to streamline interactions Implement and customize Copilot Actions to automate complex workflows and improve efficiency Develop, train, and deploy custom AI models with Model Builder to address specific business needs Centralize and harmonize customer data using Data Cloud to gain unified insights Tailor Copilot's features to meet unique business requirements, ensuring maximum relevance and effectiveness Who this book is for This book is for Salesforce professionals, including administrators, developers, and consultants, who want to leverage their Salesforce skills using AI to optimize business processes, enhance customer experiences, and drive growth. |
| data cloud for marketing: Multichannel Marketing Bernd W. Wirtz, |
| data cloud for marketing: Data Engineering with Google Cloud Platform Adi Wijaya, 2022-03-31 Build and deploy your own data pipelines on GCP, make key architectural decisions, and gain the confidence to boost your career as a data engineer Key Features Understand data engineering concepts, the role of a data engineer, and the benefits of using GCP for building your solution Learn how to use the various GCP products to ingest, consume, and transform data and orchestrate pipelines Discover tips to prepare for and pass the Professional Data Engineer exam Book DescriptionWith this book, you'll understand how the highly scalable Google Cloud Platform (GCP) enables data engineers to create end-to-end data pipelines right from storing and processing data and workflow orchestration to presenting data through visualization dashboards. Starting with a quick overview of the fundamental concepts of data engineering, you'll learn the various responsibilities of a data engineer and how GCP plays a vital role in fulfilling those responsibilities. As you progress through the chapters, you'll be able to leverage GCP products to build a sample data warehouse using Cloud Storage and BigQuery and a data lake using Dataproc. The book gradually takes you through operations such as data ingestion, data cleansing, transformation, and integrating data with other sources. You'll learn how to design IAM for data governance, deploy ML pipelines with the Vertex AI, leverage pre-built GCP models as a service, and visualize data with Google Data Studio to build compelling reports. Finally, you'll find tips on how to boost your career as a data engineer, take the Professional Data Engineer certification exam, and get ready to become an expert in data engineering with GCP. By the end of this data engineering book, you'll have developed the skills to perform core data engineering tasks and build efficient ETL data pipelines with GCP.What you will learn Load data into BigQuery and materialize its output for downstream consumption Build data pipeline orchestration using Cloud Composer Develop Airflow jobs to orchestrate and automate a data warehouse Build a Hadoop data lake, create ephemeral clusters, and run jobs on the Dataproc cluster Leverage Pub/Sub for messaging and ingestion for event-driven systems Use Dataflow to perform ETL on streaming data Unlock the power of your data with Data Studio Calculate the GCP cost estimation for your end-to-end data solutions Who this book is for This book is for data engineers, data analysts, and anyone looking to design and manage data processing pipelines using GCP. You'll find this book useful if you are preparing to take Google's Professional Data Engineer exam. Beginner-level understanding of data science, the Python programming language, and Linux commands is necessary. A basic understanding of data processing and cloud computing, in general, will help you make the most out of this book. |
| data cloud for marketing: Marketing Automation For Dummies Mathew Sweezey, 2014-04-14 Multiply the effectiveness of your campaigns with marketing automation Marketing automation technology has been shown to dramatically increase lead conversions and average deal sizes as well as improving forecasting and customer segmentation. A subset of CRM, it focuses on defining, scheduling, segmenting, and tracking marketing campaigns. This friendly book demystifies marketing automation in straightforward terms, helping you leverage the tools and handle the processes that will enable a seamless integration with your CRM program. Learn to establish a buyer profile, assess your needs, select tools, create a lead scoring model, and much more. Marketing automation is a next-generation, CRM-related tool for increasing lead conversions and improving forecasting and customer segmentation This book provides an easy-to-understand introduction to the tools and technology, helping you evaluate your current processes, choose the appropriate tools, and follow best practices in making the most of them Written by Mathew Sweezey, Marketing Automation Evangelist at Pardot (ExactTarget), a leading provider of marketing automation solutions Covers working with the marketing lifecycle, evaluating your assets, integrating marketing automation with CRM and with other processes, nurturing your leads, and using marketing automation to reach buyers via e-mail, social media, and more Marketing Automation For Dummies is the ideal guide to get you up and running with marketing automation, putting your business on the cutting edge and enhancing your competitiveness. |
| data cloud for marketing: Predictive Marketing Omer Artun, Dominique Levin, 2015-08-06 Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations — in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learning technology Base marketing decisions on concrete data rather than unproven ideas Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience. |
| data cloud for marketing: The Self-Service Data Roadmap Sandeep Uttamchandani, 2020-09-10 Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization |
| data cloud for marketing: 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 cloud for marketing: Salesforce for Beginners Sharif Shaalan, 2020-05-29 Get a 360-degree view of the Salesforce platform and learn how to use it for sales, service, marketing, and automating business processes. Key FeaturesUnderstand how to use core Salesforce objects for maximum efficiencyBuild various dashboards and reports to analyze results and improve visibility in your business processesLearn the basics of Salesforce administration and mobile app set upBook Description Salesforce is the world's leading Customer Relationship Management (CRM) software, helping businesses connect with their constituents and partners. This book will give you a comprehensive introduction to managing sales, marketing, customer relationships, and overall administration for your organization. You'll learn how to configure and use Salesforce for maximum efficiency and return on investment. You'll start by learning how to create activities, manage leads, and develop your prospects and sales pipeline using opportunities and accounts, and then understand how you can enhance marketing activities using campaigns. Packed with real-world business use cases, this Salesforce book will show you how to analyze your business information accurately to make productive decisions. As you advance, you'll get to grips with building various reports and dashboards in Salesforce to derive valuable business insights. Finally, you'll explore tools such as process builder, approval processes, and assignment rules to achieve business process automation and set out on the path to becoming a successful Salesforce Administrator. By the end of the book, you'll have learned how to use Salesforce effectively to achieve your business goals. What you will learnUnderstand the difference between Salesforce Lightning and Salesforce ClassicCreate and manage leads in SalesforceExplore business development with accounts and contacts in SalesforceFind out how stages and sales processes help you manage your opportunity pipelineAchieve marketing goals using Salesforce campaignsPerform business analysis using reports and dashboardsGain a high-level overview of the items in the administration sectionGrasp the different aspects needed to build an effective and flexible Salesforce security modelWho this book is for If you're new to Salesforce and want to learn it from scratch, this book is for you. No prior knowledge of Salesforce is required to get started with this book. |
| data cloud for marketing: Cloud Computing Venkata Josyula, Malcolm Orr, Greg Page, 2012 The complete guide to provisioning and managing cloud-based Infrastructure as a Service (IaaS) data center solutions Cloud computing will revolutionize the way IT resources are deployed, configured, and managed for years to come. Service providers and customers each stand to realize tremendous value from this paradigm shift--if they can take advantage of it. Cloud Computing brings together the realistic, start-to-finish guidance they need to plan, implement, and manage cloud solution architectures for tomorrow's virtualized data centers. It introduces cloud newcomers to essential concepts, and offers experienced operations professionals detailed guidance on delivering Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). This book's replicable solutions and fully-tested best practices will help enterprises, service providers, consultants, and Cisco partners meet the challenge of provisioning end-to-end cloud infrastructures. Drawing on extensive experience working with leading cloud vendors and integrators, the authors present detailed operations workflow examples, proven techniques for operating cloud-based network, compute, and storage infrastructure; a comprehensive management reference architecture; and a complete case study demonstrating rapid, lower-cost solutions design. Cloud Computing will be an indispensable resource for all network/IT professionals and managers involved with planning, implementing, or managing the next generation of cloud computing services. Venkata (Josh) Josyula, Ph.D., CCIE(R) No. 13518 is a Distinguished Services Engineer in Cisco Services Technology Group (CSTG) and advises Cisco customers on OSS/BSS architecture and solutions. Malcolm Orr, Solutions Architect for Cisco's Services Technology Solutions, advises telecoms and enterprise clients on architecting, building, and operating OSS/BSS and cloud management stacks. He is Cisco's lead architect for several Tier 1 public cloud projects. Greg Page has spent the last eleven years with Cisco in technical consulting roles relating to data center architecture/technology and service provider security. He is now exclusively focused on developing cloud/IaaS solutions with service providers and systems integrator partners. - Review the key concepts needed to successfully deploy clouds and cloud-based services - Transition common enterprise design patterns and use cases to the cloud - Master architectural principles and infrastructure designs for real-time managed IT services - Understand the Cisco approach to cloud-related technologies, systems, and services - Develop a cloud management architecture using ITIL, TMF, and ITU-TMN standards - Implement best practices for cloud service provisioning, activation, and management - Automate cloud infrastructure to simplify service delivery, monitoring, and assurance - Choose and implement the right billing/chargeback approaches for your business - Design and build IaaS services, from start to finish - Manage the unique capacity challenges associated with sporadic, real-time demand - Provide a consistent and optimal cloud user experience This book is part of the Networking Technology Series from Cisco Press(R), which offers networking professionals valuable information for constructing efficient networks, understanding new technologies, and building successful careers. Category: Cloud Computing Covers: Virtualized Data Centers |
| data cloud for marketing: 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 cloud for marketing: The Data Warehouse Toolkit Ralph Kimball, Margy Ross, 2011-08-08 This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts. |
| data cloud for marketing: Designing Cloud Data Platforms Danil Zburivsky, Lynda Partner, 2021-04-20 Centralized data warehouses, the long-time defacto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms. Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is an hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you read, you''ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams. You''ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyse it. about the technology Access to affordable, dependable, serverless cloud services has revolutionized the way organizations can approach data management, and companies both big and small are raring to migrate to the cloud. But without a properly designed data platform, data in the cloud can remain just as siloed and inaccessible as it is today for most organizations. Designing Cloud Data Platforms lays out the principles of a well-designed platform that uses the scalable resources of the public cloud to manage all of an organization''s data, and present it as useful business insights. about the book In Designing Cloud Data Platforms, you''ll learn how to integrate data from multiple sources into a single, cloud-based, modern data platform. Drawing on their real-world experiences designing cloud data platforms for dozens of organizations, cloud data experts Danil Zburivsky and Lynda Partner take you through a six-layer approach to creating cloud data platforms that maximizes flexibility and manageability and reduces costs. Starting with foundational principles, you''ll learn how to get data into your platform from different databases, files, and APIs, the essential practices for organizing and processing that raw data, and how to best take advantage of the services offered by major cloud vendors. As you progress past the basics you''ll take a deep dive into advanced topics to get the most out of your data platform, including real-time data management, machine learning analytics, schema management, and more. what''s inside The tools of different public cloud for implementing data platforms Best practices for managing structured and unstructured data sets Machine learning tools that can be used on top of the cloud Cost optimization techniques about the reader For data professionals familiar with the basics of cloud computing and distributed data processing systems like Hadoop and Spark. about the authors Danil Zburivsky has over 10 years experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years. |
| data cloud for marketing: Data Driven: Harnessing Data and AI to Reinvent Customer Engagement Tom Chavez, Chris O’Hara, Vivek Vaidya, 2018-10-05 Axiom Business Book Award Silver Medalist in Business TechnologyThe indispensable guide to data-powered marketing from the team behind the data management platform that helps fuel Salesforce―the #1 customer relationship management (CRM) company in the worldA tectonic shift in the practice of marketing is underway. Digital technology, social media, and e-commerce have radically changed the way consumers access information, order products, and shop for services. Using the latest technologies―cloud, mobile, social, internet of things (IoT), and artificial intelligence (AI)―we have more data about consumers and their needs, wants, and affinities than ever before. Data Driven will show you how to:●Target and delight your customers with unprecedented accuracy and success●Bring customers closer to your brand and inspire them to engage, purchase, and remain loyal●Capture, organize, and analyze data from every source and activate it across every channel●Create a data-powered marketing strategy that can be customized for any audience●Serve individual consumers with highly personalized interactions●Deliver better customer service for the best customer experience●Improve your products and optimize your operating systems●Use AI and IoT to predict the future direction of marketsYou’ll discover the three principles for building a successful data strategy and the five sources of data-driven power. You’ll see how top companies put these data-driven strategies into action: how Pandora used second- and third-hand data to learn more about its listeners; how Georgia-Pacific moved from scarcity to abundance in the data sphere; and how Dunkin’ Brands leveraged CRM data as a force multiplier for customer engagement. And if you’re wondering what the future holds, you’ll receive seven forecasts to better prepare you for what may come next. Sure to be a classic, Data Driven is a practical road map to the modern marketing landscape and a toolkit for success in the face of changes already underway and still to come. |
| data cloud for marketing: Web Services: Concepts, Methodologies, Tools, and Applications Management Association, Information Resources, 2018-12-07 Web service technologies are redefining the way that large and small companies are doing business and exchanging information. Due to the critical need for furthering automation, engagement, and efficiency, systems and workflows are becoming increasingly more web-based. Web Services: Concepts, Methodologies, Tools, and Applications is an innovative reference source that examines relevant theoretical frameworks, current practice guidelines, industry standards and standardization, and the latest empirical research findings in web services. Highlighting a range of topics such as cloud computing, quality of service, and semantic web, this multi-volume book is designed for computer engineers, IT specialists, software designers, professionals, researchers, and upper-level students interested in web services architecture, frameworks, and security. |
| data cloud for marketing: Handbook of Research on End-to-End Cloud Computing Architecture Design Chen, Jianwen “Wendy”, Zhang, Yan, Gottschalk, Ron, 2016-10-06 Cloud computing has become integrated into all sectors, from business to quotidian life. Since it has revolutionized modern computing, there is a need for updated research related to the architecture and frameworks necessary to maintain its efficiency. The Handbook of Research on End-to-End Cloud Computing Architecture Design provides architectural design and implementation studies on cloud computing from an end-to-end approach, including the latest industrial works and extensive research studies of cloud computing. This handbook enumerates deep dive and systemic studies of cloud computing from architecture to implementation. This book is a comprehensive publication ideal for programmers, IT professionals, students, researchers, and engineers. |
| data cloud for marketing: Hyperautomation in Business and Society Darwish, Dina, 2024-07-17 The demand for efficiency and intelligent decision-making has become paramount, prompting a crucial examination of the limitations of traditional automation. Organizations find themselves at a crossroads, searching for a transformative solution that transcends conventional approaches. Enter the era of Hyperautomation an innovative paradigm that goes beyond simple automation by integrating artificial intelligence, robotic process automation, and advanced techniques such as cognitive computing and data mining. Hyperautomation in Business and Society is a comprehensive exploration of how Hyperautomation addresses the complexities of modern challenges, offering a compelling solution to propel businesses and society into a new era of efficiency and intelligent decision-making. This book sets out to achieve a dual purpose: to enlighten and to guide. Starting with a breakdown of intelligent automation, the book progresses to dissect the latest IA technologies, platforms, and the intricate ways in which it optimizes workflows. Spanning diverse applications across sectors such as logistics, marketing, finance, and customer care, it paints a vivid picture of IA's transformative influence. Notably, it addresses the challenges faced by IA implementation, offering a nuanced exploration of real-world applications and their impact on businesses. Geared towards undergraduate and postgraduate students, researchers, and practitioners, this book is a compass for those navigating the ever-changing landscape of intelligent automation. |
| data cloud for marketing: Data Governance Evren Eryurek, Uri Gilad, Jessi Ashdown, Valliappa Lakshmanan, Anita Kibunguchy, 2021-04-13 As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work together to support business efficiency. With this practical guide, chief information, data, and security officers will learn how to effectively implement and scale data governance throughout their organizations. You'll explore how to create a strategy and tooling to support the democratization of data and governance principles. Through good data governance, you can inspire customer trust, enable your organization to extract more value from data, and generate more-competitive offerings and improvements in customer experience. This book shows you how. Enable auditable legal and regulatory compliance with defined and agreed-upon data policies Employ better risk management Establish control and maintain visibility into your company's data assets, providing a competitive advantage Drive top-line revenue and cost savings when developing new products and services Implement your organization's people, processes, and tools to operationalize data trustworthiness |
| data cloud for marketing: Primer of Public Relations Research, Third Edition Don W. Stacks, 2016-11-23 Thousands of public relations (PR) students and professionals have relied on this authoritative text to understand the key role of research in planning and evaluating PR campaigns. Revised and expanded to reflect today's emphasis on standards-based practice, the third edition has a heightened emphasis on setting baselines, creating benchmarks, and assessing progress. Stacks presents step-by-step guidelines for using a wide range of qualitative and quantitative methods to track output, outtakes, and outcomes, and shows how to present research findings clearly to clients. Every chapter features review questions and a compelling practice problem. PowerPoint slides for use in teaching are provided at the companion website. Instructors requesting a desk copy also receive a supplemental Instructor's Manual with a test bank, suggested readings, and case studies. New to This Edition: *Chapter on standardization, moving beyond the prior edition's focus on best practices. *Chapter on different types of data sets, with attention to the advantages and disadvantages of using Big Data. *Addresses the strategic use of key performance indicators. *Covers the latest content analysis software. Pedagogical Features: *Each chapter opens with a chapter overview and concludes with review questions. *End-of-chapter practice problems guide readers to implement what they have learned in a PR project. *Appendix provides a dictionary of public relations measurement and research terms. *Supplemental Instructor's Manual and PowerPoint slides. |
| data cloud for marketing: 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 cloud for marketing: Cloud Security and Privacy Tim Mather, Subra Kumaraswamy, Shahed Latif, 2009-09-04 You may regard cloud computing as an ideal way for your company to control IT costs, but do you know how private and secure this service really is? Not many people do. With Cloud Security and Privacy, you'll learn what's at stake when you trust your data to the cloud, and what you can do to keep your virtual infrastructure and web applications secure. Ideal for IT staffers, information security and privacy practitioners, business managers, service providers, and investors alike, this book offers you sound advice from three well-known authorities in the tech security world. You'll learn detailed information on cloud computing security that-until now-has been sorely lacking. Review the current state of data security and storage in the cloud, including confidentiality, integrity, and availability Learn about the identity and access management (IAM) practice for authentication, authorization, and auditing of the users accessing cloud services Discover which security management frameworks and standards are relevant for the cloud Understand the privacy aspects you need to consider in the cloud, including how they compare with traditional computing models Learn the importance of audit and compliance functions within the cloud, and the various standards and frameworks to consider Examine security delivered as a service-a different facet of cloud security |
| data cloud for marketing: Data Science on the Google Cloud Platform Valliappa Lakshmanan, 2017-12-12 Learn how easy it is to apply sophisticated statistical and machine learning methods to real-world problems when you build on top of the Google Cloud Platform (GCP). This hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. Through the course of the book, you’ll work through a sample business decision by employing a variety of data science approaches. Follow along by implementing these statistical and machine learning solutions in your own project on GCP, and discover how this platform provides a transformative and more collaborative way of doing data science. You’ll learn how to: Automate and schedule data ingest, using an App Engine application Create and populate a dashboard in Google Data Studio Build a real-time analysis pipeline to carry out streaming analytics Conduct interactive data exploration with Google BigQuery Create a Bayesian model on a Cloud Dataproc cluster Build a logistic regression machine-learning model with Spark Compute time-aggregate features with a Cloud Dataflow pipeline Create a high-performing prediction model with TensorFlow Use your deployed model as a microservice you can access from both batch and real-time pipelines |
| data cloud for marketing: The Circular Supply Chain Ifeyinwa Juliet Orji, Frank Ojadi, 2022-09-07 Organizations need to stay competitive and transition from a linear make-use-dispose supply chain model to a sustainable one. This book covers techniques and basic principles, historical developments and recent issues facing the adoption of a circular supply chain model. The Circular Supply Chain: Basic Principles and Techniques presents the key principles and techniques for the effective integration of a circular economy into supply chains. It discusses sustainability, digitization and the application of blockchain to enhance operations within the realm of Industry 4.0. Principles to assist managers in effectively adopting circularity business models for sustainability improvements are provided, along with the historical background, so the reader can have a better understanding for implementation. Case studies and reading comprehension questions are also offered to help with the effective integration of a circular economy into supply chains. This book is written to assist students, practicing engineers and business professionals that work in the industrial and manufacturing sectors, supply chain management, and with advanced technologies associated with Industry 4.0, sustainability, blockchain and digitalization integration techniques of circular supply chains. |
| data cloud for marketing: Data Warehousing For Dummies Thomas C. Hammergren, 2009-04-13 Data warehousing is one of the hottest business topics, and there’s more to understanding data warehousing technologies than you might think. Find out the basics of data warehousing and how it facilitates data mining and business intelligence with Data Warehousing For Dummies, 2nd Edition. Data is probably your company’s most important asset, so your data warehouse should serve your needs. The fully updated Second Edition of Data Warehousing For Dummies helps you understand, develop, implement, and use data warehouses, and offers a sneak peek into their future. You’ll learn to: Analyze top-down and bottom-up data warehouse designs Understand the structure and technologies of data warehouses, operational data stores, and data marts Choose your project team and apply best development practices to your data warehousing projects Implement a data warehouse, step by step, and involve end-users in the process Review and upgrade existing data storage to make it serve your needs Comprehend OLAP, column-wise databases, hardware assisted databases, and middleware Use data mining intelligently and find what you need Make informed choices about consultants and data warehousing products Data Warehousing For Dummies, 2nd Edition also shows you how to involve users in the testing process and gain valuable feedback, what it takes to successfully manage a data warehouse project, and how to tell if your project is on track. You’ll find it’s the most useful source of data on the topic! |
| data cloud for marketing: Jumpstart Snowflake Dmitry Anoshin, Dmitry Shirokov, Donna Strok, 2019-12-20 Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud. With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use. Snowflake was built specifically for the cloud and it is a true game changer for the analytics market. This book will help onboard you to Snowflake, present best practices to deploy, and use the Snowflake data warehouse. In addition, it covers modern analytics architecture and use cases. It provides use cases of integration with leading analytics software such as Matillion ETL, Tableau, and Databricks. Finally, it covers migration scenarios for on-premise legacy data warehouses. What You Will Learn Know the key functionalities of Snowflake Set up security and access with cluster Bulk load data into Snowflake using the COPY command Migrate from a legacy data warehouse to Snowflake integrate the Snowflake data platform with modern business intelligence (BI) and data integration tools Who This Book Is For Those working with data warehouse and business intelligence (BI) technologies, and existing and potential Snowflake users |
| data cloud for marketing: Architecting Solutions with SAP Business Technology Platform Serdar Simsekler, Eric Du, 2022-10-28 A practical handbook packed with expert advice on architectural considerations for designing solutions using SAP BTP to drive digital innovation Purchase of the print or Kindle book includes a free eBook in the PDF format Key FeaturesGuide your customers with proven architectural strategies and considerations on SAP BTPTackle challenges in building process and data integration across complex and hybrid landscapesDiscover SAP BTP services, including visualizations, practical business scenarios, and moreBook Description SAP BTP is the foundation of SAP's intelligent and sustainable enterprise vision for its customers. It's efficient, agile, and an enabler of innovation. It's technically robust, yet its superpower is its business centricity. If you're involved in building IT and business strategies, it's essential to familiarize yourself with SAP BTP to see the big picture for digitalization with SAP solutions. Similarly, if you have design responsibilities for enterprise solutions, learning SAP BTP is crucial to produce effective and complete architecture designs. This book teaches you about SAP BTP in five parts. First, you'll see how SAP BTP is positioned in the intelligent enterprise. In the second part, you'll learn the foundational elements of SAP BTP and find out how it operates. The next part covers integration architecture guidelines, integration strategy considerations, and integration styles with SAP's integration technologies. Later, you'll learn how to use application development capabilities to extend enterprise solutions for innovation and agility. This part also includes digital experience and process automation capabilities. The last part covers how SAP BTP can facilitate data-to-value use cases to produce actionable business insights. By the end of this SAP book, you'll be able to architect solutions using SAP BTP to deliver high business value. What you will learnExplore value propositions and business processes enabled by SAP's Intelligent and Sustainable EnterpriseUnderstand SAP BTP's foundational elements, such as commercial and account modelsDiscover services that can be part of solution designs to fulfill non-functional requirementsGet to grips with integration and extensibility services for building robust solutionsUnderstand what SAP BTP offers for digital experience and process automationExplore data-to-value services that can help manage data and build analytics use casesWho this book is for This SAP guide is for technical architects, solutions architects, and enterprise architects working with SAP solutions to drive digital transformation and innovation with SAP BTP. Some IT background and an understanding of basic cloud concepts is assumed. Working knowledge of the SAP ecosystem will also be beneficial. |
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 …
