Download or read book Digital Transformation with Dataverse for Teams written by Srikumar Nair and published by Packt Publishing Ltd. This book was released on 2021-10-29 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, build, and deploy multi-platform apps to overcome crucial business problems by leveraging the capabilities of low-code and no-code development enabled through Microsoft Power Platform and Teams Key Features Find out how you can accelerate the digital transformation of your organization as a citizen developer Build your first app with the help of step-by-step guidance and add capabilities with flows and bots Learn about lifecycle management for applications, environments, and licensing Book Description Microsoft Dataverse for Teams is a built-in, low-code data platform for Teams and enables everyone to easily build and deploy apps, flows, and intelligent chatbots using Power Apps, Power Automate, and Power Virtual Agents (PVA) embedded in Microsoft Teams. Without learning any coding language, you will be able to build apps with step-by-step explanations for setting up Teams, creating tables to store data, and leverage the data for your digital solutions. With the techniques covered in the book, you'll be able to develop your first app with Dataverse for Teams within an hour! You'll then learn how to automate repetitive tasks or build alerts using Power Automate and Power Virtual Agents. As you get to grips with building these digital solutions, you'll also be able to understand when to consider upgrading from Dataverse for Teams to Dataverse, along with its advanced features. Finally, you'll explore features for administration and governance and understand the licensing requirements of Microsoft Dataverse for Teams and PowerApps. Having acquired the skills to build and deploy an enterprise-grade digital solution, by the end of the book, you will have become a qualified citizen developer and be ready to lead a digital revolution in your organization. What you will learn Gain a deeper understanding of Microsoft Dataverse for Teams by exploring various business scenarios Design, build, and deploy enterprise-grade applications for Teams Develop Power Automate flows and PVA bots using Dataverse for Teams Discover administration and security best practices Understand the licensing requirements and advanced features of Microsoft Dataverse Identify scenarios in your organizations where your citizen development skills can be leveraged Who this book is for The book is for citizen developers, business professionals, or anyone looking to develop applications to solve critical business problems. Basic knowledge of using software like PowerPoint, Excel-like formulae, and navigating between application screens is all you need to get started with this book.

Download or read book Digital transformation with dataverse written by Aaron Brooke and published by BPB Publications. This book was released on 2022-03-04 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lead the digital transformation wave with Microsoft Teams KEY FEATURES ● Explore numerous business scenarios to gain a better grasp of Microsoft Dataverse for Teams ● Build your first app with step-by-step instructions and expand features with flows and bots. ● Find more about the application, environment, and licensing lifecycle management. DESCRIPTION Microsoft Dataverse for Teams is a low-code data platform built into Microsoft Teams that allows anybody to create and deploy apps, processes, and intelligent chatbots utilizing Power Apps, Power Automate, and Power Virtual Agents (PVA). You will be able to construct apps using step-by-step instructions for building up Teams, generating tables to hold data, and leveraging the data for your digital solutions without having to learn any coding languages. You'll be able to create your first app with Dataverse for Teams in under an hour if you follow the ideas in the book. You will learn how to use Power Automate and Power Virtual Agents to automate repetitive processes and create alerts. As you gain experience constructing these digital solutions, you'll be able to tell when it's time to upgrade from Dataverse for Teams to Dataverse, which includes more advanced features. Finally, you will learn about the administration and governance aspects of Microsoft Dataverse for Teams and PowerApps, as well as the license needs. By the end of the book, you will have acquired the skills necessary to build and implement an enterprise-grade digital solution. The readers will be prepared to lead a digital revolution in your organization. WHAT YOU WILL LEARN ● Create enterprise-grade applications for Teams by designing, developing, and deploying them. ● Build Up Your Strength Using Dataverse for Teams, automate flows, and PVA bots. ● Learn about the best practices in administration and security. ● Learn about Microsoft Dataverse's licensing requirements and advanced features. ● Identify instances in which your citizen development talents can be put to use in your business. WHO THIS BOOK IS FOR This book is for developers, business experts. Basic understanding of how to use softwares like PowerPoint, Excel is required TABLE OF CONTENTS 1. Introduction to Digital transformation 2. Exploring Microsoft Dataverse for Teams 3. Using Microsoft Dataverse for Teams to Create Your First App 4. Adding Images, Screens, and File Attachments to Your App 5. Understanding Microsoft Dataverse 6. Automating using Microsoft Dataverse for Teams 7. Creating Effective Virtual Agents Bots for Teams using Microsoft Dataverse 8. Managing the Application Life Cycle and the Application Life Cycle in the Environment 9. Microsoft Dataverse Environment Upgrade 10. Security and Governance to Ensure Enterprise Readiness 11. Microsoft Dataverse and Dataverse for Teams licensing

Download or read book Microsoft Dataverse the Power Platform Series written by David Yack and published by . This book was released on 2021-01-04 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: As businesses look to modernize their line of business applications Microsoft Power Platform is the tool of choice to accelerate and implement digital transformation. Microsoft Power Platform is made up of Power Apps, Power Automate, Power BI and Power Virtual Agent. Microsoft Dataverse is a key component of the Power Platform and provides for data storage and related business logic execution. Dataverse implements Microsoft's Common Data Model (CDM) allowing it to be part of the data fabric in an organization with a common way of describing core business data. In this book, we are focused on using Microsoft Dataverse to build business applications. Specifically, we will look at the capabilities required to build data models for real world business applications. These applications can be built by power users (e.g. Joe or Sue from accounting) or by professional app makers whose job is focused on building Power Platform solutions.

Download or read book Digital Transformation of Higher Education in India written by Dr. Swapan Kumar Bera and published by Rudra Publications. This book was released on with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considering the acceleration of the Indian Higher Education sector’s digitalization due to the recent Covid-19 pandemic, this book entitled “Digital Transformation of Higher Education in India” aims to help academicians as well as library and information science professionals at all levels in India and globally to survive and thrive in the 21st century. ‘All levels’ include those in careers spread across all sectors of library and information work (such as local government, private or ‘special’ and academic libraries) and electronic information related posts such as webmasters and knowledge managers, Information Scientist.

Download or read book Digital Transformation and Global Society written by Andrei V. Chugunov and published by Springer. This book was released on 2016-11-24 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the First International Conference on Digital Transformation and Global Society, DTGS 2016, held in St. Petersburg, Russia, in June 2016. The 43 revised full papers and 15 revised short papers, presented together with 3 poster papers and an invited paper were carefully reviewed and selected from 157 submissions. The papers are organized in topical sections on eSociety: New Social Media Studies; eSociety: eGovernment and eParticipation: Perspectives on ICTs in Public Administration and Democracy; eKnowledge: ICTs in Learning and Education Management; eCity: ICTs for Better Urban (Rural) Planning and Living; eHealth: ICTs in Healthcare; eScience: Big Data Complex Calculations.

Download or read book Data Analytics and Digital Transformation written by Erik Beulen and published by Taylor & Francis. This book was released on 2023-12-01 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the significance of data analytics is paramount for digital transformation but in many organizations they are separate units without fully aligned goals. As organizations are applying digital transformations to be adaptive and agile in a competitive environment, data analytics can play a critical role in their success. This book explores the crossroads between them and how to leverage their connection for improved business outcomes. The need to collaborate and share data is becoming an integral part of digital transformation. This not only creates new opportunities but also requires well-considered and continuously assessed decision-making as competitiveness is at stake. This book details approaches, concepts, and frameworks, as well as actionable insights and good practices, including combined data management and agile concepts. Critical issues are discussed such as data quality and data governance, as well as compliance, privacy, and ethics. It also offers insights into how both private and public organizations can innovate and keep up with growing data volumes and increasing technological developments in the short, mid, and long term. This book will be of direct appeal to global researchers and students across a range of business disciplines, including technology and innovation management, organizational studies, and strategic management. It is also relevant for policy makers, regulators, and executives of private and public organizations looking to implement successful transformation policies.

Download or read book Data Driven Business Transformation written by Peter Jackson and published by John Wiley & Sons. This book was released on 2019-05-28 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: OPTIMIZE YOUR BUSINESS DATA FOR FIRST-CLASS RESULTS Data Driven Business Transformation illustrates how to find the secrets to fast adaptation and disruptive origination hidden in your data and how to use them to capture market share. Digitalisation – or the Digital Revolution – was the first step in an evolving process of analysis and improvement in the operations and administration of commerce. The popular author team of Caroline Carruthers and Peter Jackson, two global leaders in data transformation and education, pick up the conversation here at the next evolutionary step where data from these digital systems generates value, and really use data science to produce tangible results. Optimise the performance of your company through data-driven processes by: Following step-by-step guidance for transitioning your company in the real world to run on a data-enabled business model Mastering a versatile set of data principles powerful enough to produce transformative results at any stage of a business’s development Winning over the hearts of your employees and influencing a cultural shift to a data-enabled business Reading first-hand stories from today’s thought leaders who are shaping data transformation at their companies Enable your company’s data to lift profits with Data Driven Business Transformation.

Download or read book Formula 4 0 for Digital Transformation written by Venkatesh Upadrista and published by CRC Press. This book was released on 2021-05-26 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: A staggering 70% of digital transformations have failed as per McKinsey. The key reason why enterprises are failing in their digital transformation journey is because there is no standard framework existing in the industry that enterprises can use to transform themselves to digital. There are several books that speak about technologies such as Cloud, Artificial Intelligence and Data Analytics in silos, but none of these provides a holistic view on how enterprises can embark on a digital transformation journey and be successful using a combination of these technologies. FORMULA 4.0 is a methodology that provides clear guidance for enterprises aspiring to transform their traditional operating model to digital. Enterprises can use this framework as a readymade guide and plan their digital transformation journey. This book is intended for all chief executives, software managers, and leaders who intend to successfully lead this digital transformation journey. An enterprise can achieve success in digital transformation only of it can create an IT Platform that will enable them to adopt any new technology seamlessly into existing IT estate; deliver new products and services to the market in shorter durations; make business decisions with IT as an enabler and utilize automation in all its major business and IT processes. Achieving these goals is what defines a digital enterprise -- Formula 4.0 is a methodology for enterprises to achieve these goals and become digital. Essentially, there is no existing framework in the market that provides a step-by-step guide to enterprises on how to embark on their successful digital transformation journey. This book enables such transformations. Overall, the Formula 4.0 is an enterprise digital transformation framework that enables organizations to become truly digital.

Download or read book Making Data Work written by Edosa Odaro and published by CRC Press. This book was released on 2022-04-04 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you care about AI transformation, empowering people or advancing organisational success in an increasingly digital world, then you should read this book.—Yomi Ibosiola, Chief Data and Analytics Officer, Union Bank A retail giant already struggling due to the Covid-19 pandemic was faced with a disastrous situation when—at the end of a critical investment in an artificial intelligence project that had been meant to save money—it suddenly discovered that its implementation was likely to leave it worse off. An entire critical service stream within an insurer’s production system crashed. This critical failure resulted in the detentions of fully insured motorists for allegedly not carrying required insurance. Making Data Work: Enabling Digital Transformation, Empowering People and Advancing Organisational Success details these two scenarios as well as others illustrating the consequences that arise when organizations do not know how to make data work properly. It is a journey to determine what to do to "make data work" for ourselves and for our organisations. It is a journey to discover how to bring it all together so organisations can enable digital transformation, empower people, and advance organisational success. It is the journey to a world where data and technology finally live up to the hype and deliver better human outcomes, where artificial intelligence can move us from reacting to situations to predicting future occurrences and enabling desirable possibilities.

Download or read book Accelerating Digital Transformation on Z Using Data Virtualization written by Blanca Borden and published by IBM Redbooks. This book was released on 2021-04-13 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: This IBM® RedpaperTM publication introduces a new data virtualization capability that enables IBM z/OS® data to be combined with other enterprise data sources in real-time, which allows applications to access any live enterprise data anytime and use the power and efficiencies of the IBM Z® platform. Modern businesses need actionable and timely insight from current data. They cannot afford the time that is necessary to copy and transform data. They also cannot afford to secure and protect each copy of personally identifiable information and corporate intellectual property. Data virtualization enables direct connections to be established between multiple data sources and the applications that process the data. Transformations can be applied, in line, to enable real-time access to data, which opens up many new ways to gain business insight with less IT infrastructure necessary to achieve those goals. Data virtualization can become the backbone for advanced analytics and modern applications. The IBM Data Virtualization Manager for z/OS (DVM) can be used as a stand-alone product or as a utility that is used by other products. Its goal is to enable access to live mainframe transaction data and make it usable by any application. This enables customers to use the strengths of mainframe processing with new agile applications. Additionally, its modern development environment and code-generating capabilities enable any developer to update, access, and combine mainframe data easily by using modern APIs and languages. If data is the foundation for building new insights, IBM DVM is a key tool for providing easy, cost-efficient access to that foundation.

Download or read book Data Based Decision Making and Digital Transformation written by Daniel J. Power and published by Business Expert Press. This book was released on 2018-05-31 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital disruption is accelerating. Implementing a successful digital transformation strategy requires that senior managers make trade-off decisions to reinvent a business. Equally important all decision makers must learn to ask the right questions, use data and computer support in decision making, and increase their knowledge and skills. Creating a data-centric culture and rewarding data-based decision making leads to successful digital transformation. Join the digital journey. This book is targeted at managers, especially middle-level managers who are trying to come to grips with using data-based decision making in a transforming organization. The authors explore a number of broad questions including: How can managers become data-based decision makers? How can digital transformation become part of an organi­zational strategy? What new skills do managers need to implement digital transformation? How will we know an organization has been successfully transformed?

Download or read book The Economics of Data Analytics and Digital Transformation written by Bill Schmarzo and published by Packt Publishing Ltd. This book was released on 2020-11-30 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a continuously learning and adapting organization that can extract increasing levels of business, customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning Key Features Master the Big Data Business Model Maturity Index methodology to transition to a value-driven organizational mindset Acquire implementable knowledge on digital transformation through 8 practical laws Explore the economics behind digital assets (data and analytics) that appreciate in value when constructed and deployed correctly Book Description In today's digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization's data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company's operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization's digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon." What you will learn Train your organization to transition from being data-driven to being value-driven Navigate and master the big data business model maturity index Learn a methodology for determining the economic value of your data and analytics Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used Become aware of digital transformation misconceptions and pitfalls Create empowered and dynamic teams that fuel your organization's digital transformation Who this book is for This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.

Download or read book A Field Guide to Digital Transformation written by Thomas Erl and published by Addison-Wesley Professional. This book was released on 2021-12-22 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your Complete Guide to Digital Transformation A Field Guide to Digital Transformation is the definitive book on digital transformation. Top-selling IT author Thomas Erl and long-time practitioner Roger Stoffers combine to provide comprehensive, yet easy-to-understand coverage of essential digital transformation concepts, practices, and technologies in the format of a plain-English tutorial written for any IT professionals, students, or decision-makers. With more than 160 diagrams, this guide provides a highly visual exploration of what digital transformation is, how it works, and the techniques and technologies required to successfully build modern-day digital transformation solutions. Learn from the experts and: Discover what digital transformation is, why it emerged and when to apply it Identify the significant business benefits that successful digital transformations can deliver and how to turn your organization into a “disruptive” force Prepare for and overcome the common challenges associated with digital transformation initiatives Understand the data-driven nature of digital transformation solutions and how they use and continually accumulate data intelligence Understand how digital transformation solutions can utilize AI technology for intelligent automated decision-making Gain insight into customer-centricity and how its practices are applied as part of digital transformations Explore key digital transformation automation technologies, such as Robotic Process Automation (RPA), Internet of Things (IoT), Blockchain. and Cloud Computing Explore key digital transformation data science technologies, such as Artificial Intelligence (AI), Machine Learning, and Big Data Analysis and Analytics The book concludes with a uniquely detailed and highly visual real-world business scenario that provides step-by-step insights into how a digital transformation solution works, how it utilizes data intelligence to improve customer relationship building, and how it collects new data intelligence in support of enhancing future business capabilities.

Download or read book Agile Data Oriented Research Tools to Support Smallholder Farm System Transformation written by James Hammond and published by Frontiers Media SA. This book was released on 2023-05-09 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smallholder farming systems contribute a substantial quantity of the food consumed in many lower and middle-income countries and contribute to the national and local economies. Despite the importance of smallholder farming, a transformation is needed in order to deliver food security and decent incomes for the farmers themselves and at the national level. This transformation must also be sustainable in terms of environmental impacts and social equity in order to be successful in the long term. The pressures of population growth, climate change, and land fragmentation compound the problem. Addressing these overlapping issues is a big challenge. One obstacle is the lack of good quality granular data linking these issues together. Household surveys are the workhorse method for gathering such data, but there are well-known problems that prevent household survey data from building up a “big picture” and delivering insights beyond the geographical boundary of each individual study. Such obstacles include the lack of access to datasets, differences in survey design, and respondent biases. Agile, data-oriented research tools can help to overcome these challenges. We use the term “agile” to imply methods that do not attempt exhaustive measurements, which are designed to be easy to use, and which entail some degree of flexibility in terms of adaptation to local conditions and integration with other tools or methods. Often these methods also nudge the behavior of tool users towards best practices. In recent years various research tools and approaches have been published which fit within our definition of “agile data-oriented research tools”. The domains these tools function in include monitoring and evaluation, intervention targeting, tailored information delivery, citizen science, credit scoring, and user feedback collection; all with the over-arching aim to improve data quality and access for those studying the sustainable development of smallholder farming systems. The goal of this Research Topic is to better define that niche, the ecosystem of tools and current practices, and to explore how such approaches can provide the underpinning knowledge required for the transformation of smallholder farming systems. One example of an agile data-oriented research tool is the Rural Household Multi-Indicator Survey (RHoMIS). It is a modular, digital system for building household surveys addressing the common topics in smallholder development. It was purposefully designed to give a broad overview of the farm system whist keeping survey duration to a minimum, to be user-friendly in implementation, and to be sufficiently flexible to function in a broad variety of locations and projects. Since 2015 it has been used by 30 organizations in 32 countries to interview over 34,000 households. The tool and database are open access and a community of practice is developing around the tool. We particularly welcome contributions that engage with the RHoMIS tool and data. However, we also describe the tool in order to provide an example of what is meant by an agile data-oriented research tool, and welcome contributions focusing on other tools or methodologies. We encourage the submission of manuscripts addressing the above topic, and those which fit within one of the following three sub-themes: (i) Perspectives or review articles which explore the niche, best practices, or promising approaches in agile data-oriented research tools for smallholder farm system transformation. Also, technology and code articles that describe new tools are welcomed. (ii) Original research articles presenting analyses based on data derived from agile data-oriented tools used at the project level. Examples include impact evaluations, adoption studies, targeting studies, or adaptive management, and should reflect on the additional benefit leveraged by the agile method applied. (iii) Original research articles that make use of the large amounts of data generated by such agile methods and/or link between agile data and other data sources. Examples include meta-analyses of data from multiple studies, layering data collected from different agile tools, or linking agile data to remote sensing or large-scale modeling outputs.

Download or read book Common Data Service written by David Yack and published by . This book was released on 2019-11-18 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: As businesses look to modernize their line of business applications Microsoft Power Platform is the tool of choice to accelerate and implement digital transformation. Microsoft Power Platform is made up of Power Apps, Power Automate and Power BI. The Common Data Service (CDS) is a key component of the Power Platform and provides for data storage and related business logic execution. CDS implements Microsoft's Common Data Model (CDM) allowing it to be part of the data fabric in an organization with a common way of describing core business data. In this book, we are focused on using the Common Data Service to build business applications. Specifically, we will look at the capabilities required to build data models for real world business applications. These applications can be built by power users (e.g. Joe or Sue from accounting) or by professional app makers whose job is focused on building Power Platform solutions.

Download or read book The Digital Transformation Playbook written by David L. Rogers and published by Columbia University Press. This book was released on 2016-04-05 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rethink your business for the digital age. Every business begun before the Internet now faces the same challenge: How to transform to compete in a digital economy? Globally recognized digital expert David L. Rogers argues that digital transformation is not about updating your technology but about upgrading your strategic thinking. Based on Rogers's decade of research and teaching at Columbia Business School, and his consulting for businesses around the world, The Digital Transformation Playbook shows how pre-digital-era companies can reinvigorate their game plans and capture the new opportunities of the digital world. Rogers shows why traditional businesses need to rethink their underlying assumptions in five domains of strategy—customers, competition, data, innovation, and value. He reveals how to harness customer networks, platforms, big data, rapid experimentation, and disruptive business models—and how to integrate these into your existing business and organization. Rogers illustrates every strategy in this playbook with real-world case studies, from Google to GE, from Airbnb to the New York Times. With practical frameworks and nine step-by-step planning tools, he distills the lessons of today's greatest digital innovators and makes them usable for businesses at any stage. Many books offer advice for digital start-ups, but The Digital Transformation Playbook is the first complete treatment of how legacy businesses can transform to thrive in the digital age. It is an indispensable guide for executives looking to take their firms to the next stage of profitable growth.

Download or read book Learning Microsoft Power Apps written by Arpit Shrivastava and published by "O'Reilly Media, Inc.". This book was released on 2024-07-17 with total page 587 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's fast-paced world, more and more organizations require rapid application development with reduced development costs and increased productivity. This practical guide shows application developers how to use PowerApps, Microsoft's no-code/low-code application framework that helps developers speed up development, modernize business processes, and solve tough challenges. Author Arpit Shrivastava provides a comprehensive overview of designing and building cost-effective applications with Microsoft Power Apps. You'll learn fundamental concepts behind low-code and no-code development, how to build applications using pre-built and blank templates, how to design an app using Copilot AI and drag and drop PowerPoint-like controls, use Excel-like expressions to write business logic for an app, and integrate apps with external data sources. With this book, you'll: Learn the importance of no-code/low-code application development Design mobile/tablet (canvas apps) applications using pre-built and blank templates Design web applications (model-driven apps) using low-code, no-code, and pro-code components Integrate PowerApps with external applications Learn basic coding concepts like JavaScript, Power Fx, and C# Apply best practices to customize Dynamics 365 CE applications Dive into Azure DevOps and ALM concepts to automate application deployment