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Are the digital data standards used in the models compatible with the Governments standards? What are technical definitions for digital data? Should there be scope to share data for broader, system-wide purposes? How do you ensure the long-term security of digital data collections in an uncertain funding climate? How well are you able to integrate your applications and digital data to create a unified customer view? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Digital Data investments work better. This Digital Data All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Digital Data Self-Assessment. Featuring 921 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Digital Data improvements can be made. In using the questions you will be better able to: - diagnose Digital Data projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Digital Data and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Digital Data Scorecard, you will develop a clear picture of which Digital Data areas need attention. Your purchase includes access details to the Digital Data self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Digital Data Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Scholars and scrapbookers alike need your help with saving their most important digital content. But how do you translate your professional knowledge as a librarian or archivist into practical skills that novices can apply to their own projects? The Complete Guide to Personal Archiving will show you the way, helping you break down archival concepts and best practices into teachable solutions for your patrons’ projects. Whether it’s a researcher needing to cull their most important email correspondence, or an empty-nester transferring home movies and photographs to more easily shared and mixed digital formats, this book will show you how to offer assistance, providing explanations of common terms in plain language;quick, non-technical solutions to frequent patron requests;a look at the 3-2-1 approach to backing up files;guidance on how to archive Facebook posts and other social media;methods for capturing analog video from obsolete physical carriers like MiniDV;proven workflows for public facing transfer stations, as used at the Washington, D.C. Memory Lab and the Queens Library mobile scanning unit;talking points to help seniors make proactive decisions about their digital estates;perspectives on balancing core library values with the business goals of Google, Amazon, Facebook, and other dominant platforms; andadditional resources for digging deep into personal digital archiving. Featuring expert contributors working in a variety of contexts, this resource will help you help your patrons take charge of their personal materials.
What is your organization of big data technology? What are the advantages of mobile data technology? How does Big Data technology work? What data technology makes the project possible? How has the history of data storage and management influenced Big Data technology? This astounding Data Technology self-assessment will make you the assured Data Technology domain visionary by revealing just what you need to know to be fluent and ready for any Data Technology challenge. How do I reduce the effort in the Data Technology work to be done to get problems solved? How can I ensure that plans of action include every Data Technology task and that every Data Technology outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data Technology costs are low? How can I deliver tailored Data Technology advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data Technology essentials are covered, from every angle: the Data Technology self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data Technology outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data Technology practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data Technology are maximized with professional results. Your purchase includes access details to the Data Technology self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data Technology Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Who are the Digital Health Data strategy decision makers? Who are the key stakeholders for the Digital Health Data strategy evaluation? Are you making progress, and are you making progress as Digital Health Data strategy leaders? Who will be responsible for documenting the Digital Health Data strategy requirements in detail? What sources do you use to gather information for a Digital Health Data strategy study? This astounding Digital Health Data Strategy self-assessment will make you the trusted Digital Health Data Strategy domain master by revealing just what you need to know to be fluent and ready for any Digital Health Data Strategy challenge. How do I reduce the effort in the Digital Health Data Strategy work to be done to get problems solved? How can I ensure that plans of action include every Digital Health Data Strategy task and that every Digital Health Data Strategy outcome is in place? How will I save time investigating strategic and tactical options and ensuring Digital Health Data Strategy costs are low? How can I deliver tailored Digital Health Data Strategy advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Digital Health Data Strategy essentials are covered, from every angle: the Digital Health Data Strategy self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Digital Health Data Strategy outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Digital Health Data Strategy practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Digital Health Data Strategy are maximized with professional results. Your purchase includes access details to the Digital Health Data Strategy self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Digital Health Data Strategy Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
An accessible fast paced introduction to all aspects of Power BI for new or aspiring BI professionals, data analysts, and data visualizers. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Updated with the latest features in Power BI including Dataflow, AI insights, visuals and row level security Get faster and more intuitive data insights using Microsoft Power BI and its business intelligence capabilities Build accurate analytical models, reports, and dashboards Book Description This revised edition has been fully updated to reflect the latest enhancements to Power BI. It includes a new chapter dedicated to dataflow, and covers all the essential concepts such as installation, designing effective data models, as well as building basic dashboards and visualizations to help you and your organization make better business decisions. You'll learn how to obtain data from a variety of sources and clean it using Power BI Query Editor. You'll then find out how you can design your data model to navigate and explore relationships within it and build DAX formulas to make your data easier to work with. Visualizing your data is a key element in this book, and you'll get to grips rapidly with data visualization styles and enhanced digital storytelling techniques. In addition, you will acquire the skills to build your own dataflows, understand the Common Data Model, and automate data flow refreshes to eradicate data cleansing inefficiency. This guide will help you understand how to administer your organization's Power BI environment so that deployment can be made seamless, data refreshes can run properly, and security can be fully implemented. By the end of this Power BI book, you'll have a better understanding of how to get the most out of Power BI to perform effective business intelligence. What you will learn Connect to data sources using import and DirectQuery options Use Query Editor for data transformation and data cleansing processes, including writing M and R scripts and dataflows to do the same in the cloud Design optimized data models by designing relationships and DAX calculations Design effective reports with built-in and custom visuals Adopt Power BI Desktop and Service to implement row-level security Administer a Power BI cloud tenant for your organization Use built-in AI capabilities to enhance Power BI data transformation techniques Deploy your Power BI desktop files into the Power BI Report Server Who this book is for Aspiring business intelligence professionals who want to learn Power BI will find this book useful. If you have a basic understanding of BI concepts and want to learn how to apply them using Microsoft Power BI, this book is for you.
A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin
Digital Strategy A Complete Guide - 2020 Edition.