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| data mapping example excel: Data Mapping for Data Warehouse Design Qamar Shahbaz, 2015-12-08 Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle. - Covers all stages of data warehousing and the role of data mapping in each - Includes a data mapping strategy and techniques that can be applied to many situations - Based on the author's years of real-world experience designing solutions |
| data mapping example excel: Metrics-Based Process Mapping Karen Martin, Mike Osterling, 2012-10-22 Metrics-Based Process Mapping (MBPM) is a tactical-level, visual mapping approach that enables improvement teams to make effective, data-based decisions regarding waste elimination and measure ongoing process performance. The mapping technique, often used to drill down from a value stream map, integrates the functional orientation of traditional swim-lane process maps with time and quality metrics that are essential for designing improved processes. Building on the success of its popular predecessor, Metrics-Based Process Mapping: An Excel-Based Solution, this book takes readers to the next level in understanding processes and process improvement. Included with the book is an interactive macro-driven Excel tool, which allows users to electronically capture their current and future state maps. The tool also audits the maps for completeness, summarizes the metrics, and auto-calculates the improvements. Improvements to this version include: Foundational content about processes—what they are and how they vary A description of the difference between value-stream and process-level maps New content about how to bridge the gap between your current state and your desired future state Tips for effective team formation and mapping facilitation An implementation plan for those using the mapping methodology as a standalone tool and not part of a Kaizen Event The Excel-based tool included on the accompanying CD provides readers with a user-friendly way to electronically archive manually created maps in team settings for easier storage and distribution across your entire organization. While current and future state MBPMs are initially created during team-based activities using butcher paper and post-its, the electronic maps serve as standard work documentation for the improved process, enabling training, communication, and process monitoring activities. This flexible, user-friendly tool includes: A custom toolbar that simplifies map creation and editing Automated calculation of key metrics An audit feature to prevent mapping errors The ability to simulate how improvements will impact staffing requirements System Requirements: The tool is intended for use on PCs using Excel 2003 or later—it will NOT function with earlier versions of Excel, or on Macintosh computers. View a demo of the Excel tool at: www.mbpmapping.com |
| data mapping example excel: High Impact Data Visualization with Power View, Power Map, and Power BI Adam Aspin, 2014-06-24 High Impact Data Visualization with Power View, Power Map, and Power BI helps you take business intelligence delivery to a new level that is interactive, engaging, even fun, all while driving commercial success through sound decision-making. Learn to harness the power of Microsoft’s flagship, self-service business intelligence suite to deliver compelling and interactive insight with remarkable ease. Learn the essential techniques needed to enhance the look and feel of reports and dashboards so that you can seize your audience’s attention and provide them with clear and accurate information. Also learn to integrate data from a variety of sources and create coherent data models displaying clear metrics and attributes. Power View is Microsoft's ground-breaking tool for ad-hoc data visualization and analysis. It's designed to produce elegant and visually arresting output. It's also built to enhance user experience through polished interactivity. Power Map is a similarly powerful mechanism for analyzing data across geographic and political units. Power Query lets you load, shape and streamline data from multiple sources. PowerPivot can extend and develop data into a dynamic model. Power BI allows you to share your findings with colleagues, and present your insights to clients. High Impact Data Visualization with Power View, Power Map, and Power BI helps you master this suite of powerful tools from Microsoft. You'll learn to identify data sources, and to save time by preparing your underlying data correctly. You'll also learn to deliver your powerful visualizations and analyses through the cloud to PCs, tablets and smartphones. Simple techniques take raw data and convert it into information. Slicing and dicing metrics delivers interactive insight. Visually arresting output grabs and focuses attention on key indicators. |
| data mapping example excel: Integrating Excel and Access Michael Schmalz, 2005-11-01 In a corporate setting, the Microsoft Office Suite is an invaluable set of applications. One of Offices' biggest advantages is that its applications can work together to share information, produce reports, and so on. The problem is, there isn't much documentation on their cross-usage. Until now. Introducing Integrating Excel and Access, the unique reference that shows you how to combine the strengths of Microsoft Excel with those of Microsoft Access. In particular, the book explains how the powerful analysis tools of Excel can work in concert with the structured storage and more powerful querying of Access. The results that these two applications can produce together are virtually impossible to achieve with one program separately. But the book isn't just limited to Excel and Access. There's also a chapter on SQL Server, as well as one dedicated to integrating with other Microsoft Office applications. In no time, you'll discover how to: Utilize the built in features of Access and Excel to access data Use VBA within Access or Excel to access data Build connection strings using ADO and DAO Automate Excel reports including formatting, functions, and page setup Write complex functions and queries with VBA Write simple and advanced queries with the Access GUI Produce pivot tables and charts with your data With Integrating Excel and Access, you can crunch and visualize data like never before. It's the ideal guide for anyone who uses Microsoft Office to handle data. |
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| data mapping example excel: Excel 2003 VBA Programming with XML and ASP Julitta Korol, 2006 |
| data mapping example excel: Advanced Excel for Scientific Data Analysis Robert De Levie, 2004 This guide to Excel focuses on three areas--least squares, Fourier transformation, and digital simulation. It illustrates the techniques with detailed examples, many drawn from the scientific literature. It also includes and describes a number of sample macros and functions to facilitate common data analysis tasks. De Levie is affiliated with Bowdoin College. Annotation : 2004 Book News, Inc., Portland, OR (booknews.com). |
| data mapping example excel: PC Mag , 2004-09-07 PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology. |
| data mapping example excel: Database Technology for Life Sciences and Medicine Claudia Plant, Christian Bhm, 2010 This book presents innovative approaches from database researchers supporting the challenging process of knowledge discovery in biomedicine. Ranging from how to effectively store and organize biomedical data via data quality and case studies to sophisticated data mining methods, this book provides the state-of-the-art of database technology for life sciences and medicine. A valuable source of information for experts in life sciences who want to be updated about the possibilities of database technology in their field, this volume will also be inspiring for students and researchers in informatics who are keen to contribute to this emerging field of interdisciplinary research. |
| data mapping example excel: Disease Mapping with WinBUGS and MLwiN Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro, 2003-09-12 Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages – such as WinBUGS and MLwiN – are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping. Adopts a practical approach, with many detailed worked examples. Includes introductory material on WinBUGS and MLwiN. Discusses three applications in detail – relative risk estimation, focused clustering, and ecological analysis. Suitable for public health workers and epidemiologists with a sound statistical knowledge. Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data. |
| data mapping example excel: GeoSpatial Semantics Frederico Fonseca, M. Andrea Rodriguez, Sergei Levashkin, 2007-11-17 This book constitutes the refereed proceedings of the Second International Conference on GeoSpatial Semantics, GeoS 2007, held in Mexico City, Mexico, in November 2007. The papers are organized in topical sections on models and languages for geo-ontologies, alignment and integration of geo-ontologies, ontology-based spatial information retrieval, formal representation for geospatial data, and integration of semantics into spatial query processing. |
| data mapping example excel: Unlocking Financial Data Justin Pauley, 2017-10-06 Investors recognize that technology is a powerful tool for obtaining and interpreting financial data that could give them the one thing everyone on Wall Street wants: an edge. Yet, many don’t realize that you don’t need to be a programmer to access behind-the-scenes financial information from Bloomberg, IHS Markit, or other systems found at most banks and investment firms. This practical guide teaches analysts a useful subset of Excel skills that will enable them to access and interpret financial information—without any prior programming experience. This book will show analysts, step-by-step, how to quickly produce professional reports that combine their views with Bloomberg or Markit data including historical financials, comparative analysis, and relative value. For portfolio managers, this book demonstrates how to create professional summary reports that contain a high-level view of a portfolio’s performance, growth, risk-adjusted return, and composition. If you are a programmer, this book also contains a parallel path that covers the same topics using C#. Topics include: Access additional data that isn’t visible on Bloomberg screens Create tables containing corporate data that makes it possible to compare multiple companies, bonds, or loans side-by- side Build one-page analytic (“Tear Sheet”) reports for individual companies that incorporates important financials, custom notes, relative value comparison of the company to its peers, and price trends with research analyst targets Build two-page portfolio summary report that contains a high-level view of the portfolio’s performance, growth, risk-adjusted return, and composition Explore daily prices and facility information for most of the tradable corporate bond and loan market Determine the relationship between two securities (or index) using correlation and regression Compare each security’s performance to a cohort made of up of securities with similar risk and return characteristics Measure portfolio risk-adjusted return by calculating variance, standard deviation, and Sharpe ratio Use Markit data to identify meaningful trends in prices, new issue spreads, and refinancings |
| data mapping example excel: Epidemiology For Dummies Amal K. Mitra, 2023-04-11 Become a disease detective with this easy-to-understand resource Epidemiology For Dummies is packed with key concepts, practical applications, and real-life examples in the study of disease transmission and control. It's a must-have for students in all public-health-related fields, and for curious learners, too. This Dummies guide will help you conquer even the trickiest epidemiological concepts. In this introduction to the fascinating, complex science, you’ll learn—in terms anyone can understand—all the basic principles of epidemiology, plus how those concepts translate to public health outcomes and policy decisions. Learn the basic principles and concepts of epidemiology Discover real-world examples and public health threats Understand the complex social factors that influence health Embark on a public health career or just pass your epidemiology course Anyone who wants or needs to understand the fundamentals of epidemiology and the science behind public health will love Epidemiology For Dummies. |
| data mapping example excel: Textbook of Information Technology S.k.bansal, 2004-12 |
| data mapping example excel: The Data Vault Guru Patrick Cuba, 2020-10-06 The data vault methodology presents a unique opportunity to model the enterprise data warehouse using the same automation principles applicable in today's software delivery, continuous integration, continuous delivery and continuous deployment while still maintaining the standards expected for governing a corporation's most valuable asset: data. This book provides at first the landscape of a modern architecture and then as a thorough guide on how to deliver a data model that flexes as the enterprise flexes, the data vault. Whether the data is structured, semi-structured or even unstructured one thing is clear, there is always a model either applied early (schema-on-write) or applied late (schema-on-read). Today's focus on data governance requires that we know what we retain about our customers, the data vault provides that focus by delivering a methodology focused on all aspects about the customer and provides some of the best practices for modern day data compliance.The book will delve into every data vault modelling artefact, its automation with sample code, raw vault, business vault, testing framework, a build framework, sample data vault models, how to build automation patterns on top of a data vault and even offer an extension of data vault that provides automated timeline correction, not to mention variation of data vault designed to provide audit trails, metadata control and integration with agile delivery tools. |
| data mapping example excel: Fundamentals of Crime Mapping: Principles and Practice Rebecca Paynich, Bryan Hill, 2011-11-14 Fundamentals of Crime Mapping introduces the topic of crime mapping and the history of GIS in law enforcement. This valuable text includes a workbook for hands-on instruction. Special topics discussed include: an up-to-date discussion of the current crime trends in rural and urban areas, the major ecological theories of crime, the notion of geographic profiling, empirical research using crime mapping tools, basic mapping terminology, and more! |
| data mapping example excel: Excel University Volume 2 - Featuring Excel 2013 for Windows Jeff Lenning, Jeff Lenning Cpa, 2013-11-07 Building on the firm foundation established in the first volume, the second installment in the Excel University series continues to explore the Excel features, functions and techniques relevant to accounting and finance professionals. Volume 2 focuses on how to automate recurring-use reports. Amounts in hands-free reports update the instant updated data is inserted into the workbook, for example, when an updated trial balance is pasted into the data sheet. This volume covers the Excel items needed to build and automate reports, including lookups, dynamic headers, mapping tables, error trapping, conditional summing, and date related functions. Excel practice files and solutions videos are available online so you can work hands-on as you read through the content. The skills developed in this volume will help you get your work done in less time. |
| data mapping example excel: Strategic Green Infrastructure Planning Karen Firehock, R. Andrew Walker, 2015-09-30 This book addresses the nuts and bolts of planning and preserving natural assets at a variety of scales--from dense urban environments to scenic rural landscapes. A practical guide to creating effective and well-crafted plans and then implementing them, the book presents a six-step process developed and field-tested by the Green Infrastructure Center in Charlottesville, Virginia. Well-organized chapters explain how each step, from setting goals to implementing opportunities, can be applied to a variety of scenarios, customizable to the reader's target geographical location. |
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| data mapping example excel: Office 2003 XML for Power Users Matthew MacDonald, 2008-01-01 * Edit standard XML files with all the tools of Word and Excel (like formulas and the spell checker) * Take existing Word or Excel documents, transform all or part of them into XML, and plug them into business processes. * Mine the data in an Office document, using custom macros or applications—on any platform. * Create rich Word or Excel documents programmatically, without even needing to have Office installed. * Create smart documents that have built-in user guidance and validation rules to prevent errors. |
| data mapping example excel: SharePoint 2013 Field Guide Errin O'Connor, 2014-05-27 Covers SharePoint 2013, Office 365’s SharePoint Online, and Other Office 365 Components In SharePoint 2013 Field Guide, top consultant Errin O’Connor and the team from EPC Group bring together best practices and proven strategies drawn from hundreds of successful SharePoint and Office 365 engagements. Reflecting this unsurpassed experience, they guide you through deployments of every type, including the latest considerations around private, public, and hybrid cloud implementations, from ECM to business intelligence (BI), as well as custom development and identity management. O’Connor reveals how world-class consultants approach, plan, implement, and deploy SharePoint 2013 and Office 365’s SharePoint Online to maximize both short- and long-term value. He covers every phase and element of the process, including initial “whiteboarding”; consideration around the existing infrastructure; IT roadmaps and the information architecture (IA); and planning for security and compliance in the new IT landscape of the hybrid cloud. SharePoint 2013 Field Guide will be invaluable for implementation team members ranging from solution architects to support professionals, CIOs to end-users. It’s like having a team of senior-level SharePoint and Office 365 hybrid architectureconsultants by your side, helping you optimize your success from start to finish! Detailed Information on How to… Develop a 24-36 month roadmap reflecting initial requirements, longterm strategies, and key unknowns for organizations from 100 users to 100,000 users Establish governance that reduces risk and increases value, covering the system as well as information architecture components, security, compliance, OneDrive, SharePoint 2013, Office 365, SharePoint Online, Microsoft Azure, Amazon Web Services, and identity management Address unique considerations of large, global, and/or multilingual enterprises Plan for the hybrid cloud (private, public, hybrid, SaaS, PaaS, IaaS) Integrate SharePoint with external data sources: from Oracle and SQL Server to HR, ERP, or document management for business intelligence initiatives Optimize performance across multiple data centers or locations including US and EU compliance and regulatory considerations (PHI, PII, HIPAA, Safe Harbor, etc.) Plan for disaster recovery, business continuity, data replication, and archiving Enforce security via identity management and authentication Safely support mobile devices and apps, including BYOD Implement true records management (ECM/RM) to support legal/compliance requirements Efficiently build custom applications, workflows, apps and web parts Leverage Microsoft Azure or Amazon Web Services (AWS) |
| data mapping example excel: SharePoint 2013 Errin O'Connor, 2014 Covers SharePoint 2013, Office 365's SharePoint Online, and Other Office 365 Components In SharePoint 2013 Field Guide, top consultant Errin O'Connor and the team from EPC Group bring together best practices and proven strategies drawn from hundreds of successful SharePoint and Office 365 engagements. Reflecting this unsurpassed experience, they guide you through deployments of every type, including the latest considerations around private, public, and hybrid cloud implementations, from ECM to business intelligence (BI), as well as custom development and identity management. O'Connor reveals how world-class consultants approach, plan, implement, and deploy SharePoint 2013 and Office 365's SharePoint Online to maximize both short- and long-term value. He covers every phase and element of the process, including initial whiteboarding; consideration around the existing infrastructure; IT roadmaps and the information architecture (IA); and planning for security and compliance in the new IT landscape of the hybrid cloud. SharePoint 2013 Field Guide will be invaluable for implementation team members ranging from solution architects to support professionals, CIOs to end-users. It's like having a team of senior-level SharePoint and Office 365 hybrid architectureconsultants by your side, helping you optimize your success from start to finish! Detailed Information on How to... Develop a 24-36 month roadmap reflecting initial requirements, longterm strategies, and key unknowns for organizations from 100 users to 100,000 users Establish governance that reduces risk and increases value, covering the system as well as information architecture components, security, compliance, OneDrive, SharePoint 2013, Office 365, SharePoint Online, Microsoft Azure, Amazon Web Services, and identity management Address unique considerations of large, global, and/or multilingual enterprises Plan for the hybrid cloud (private, public, hybrid, SaaS, PaaS, IaaS) Integrate SharePoint with external data sources: from Oracle and SQL Server to HR, ERP, or document management for business intelligence initiatives Optimize performance across multiple data centers or locations including US and EU compliance and regulatory considerations (PHI, PII, HIPAA, Safe Harbor, etc.) Plan for disaster recovery, business continuity, data replication, and archiving Enforce security via identity management and authentication Safely support mobile devices and apps, including BYOD Implement true records management (ECM/RM) to support legal/compliance requirements Efficiently build custom applications, workflows, apps and web parts Leverage Microsoft Azure or Amazon Web Services (AWS) |
| data mapping example excel: Fundamentals of Crime Mapping Rebecca Paynich, Bryan Hill, 2013-03-18 The Second Edition of the popular Fundamentals of Crime Mapping: Principles and Practice walks readers through the research, theories, and history of GIS in law enforcement. This accessible text explains the day-to-day practical application of crime analysis for mapping. Factual data from real crime analysis is included to reflect actual crime patterns, trends, series and what an officer or analyst can expect to see when he or she sits down to analyze and apply concepts learned. Special topics discussed include: an up-to-date discussion of the current crime trends in rural and urban areas, the major ecological theories of crime, the notion of geographic profiling, empirical research using crime mapping tools, basic mapping terminology, and more. New to the Second Edition: • All exercises and examples have been updated to reflect ArcGIS 10.0 and Excel 2010. • Includes a workbook with engaging exercises to offer hands-on application of the material. • All exercises and graphics have been updated to account for ArcGIS 10.0 and Excel 2010, though all exercises and examples for Excel 2007 remain. • Contains a NEW chapter discussing the various types of policing, with an emphasis on the Compstat process, intelligence led policing, and problem-oriented policing. |
| data mapping example excel: Implementing MLOps in the Enterprise Yaron Haviv, Noah Gift, 2023-11-30 With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production. Authors Yaron Haviv and Noah Gift take a production-first approach. Rather than beginning with the ML model, you'll learn how to design a continuous operational pipeline, while making sure that various components and practices can map into it. By automating as many components as possible, and making the process fast and repeatable, your pipeline can scale to match your organization's needs. You'll learn how to provide rapid business value while answering dynamic MLOps requirements. This book will help you: Learn the MLOps process, including its technological and business value Build and structure effective MLOps pipelines Efficiently scale MLOps across your organization Explore common MLOps use cases Build MLOps pipelines for hybrid deployments, real-time predictions, and composite AI Learn how to prepare for and adapt to the future of MLOps Effectively use pre-trained models like HuggingFace and OpenAI to complement your MLOps strategy |
| data mapping example excel: Excel University Jeff Lenning, Jeff Lenning Cpa, 2017-03-11 During live CPE training sessions, and through Excel articles featured in magazines such as the Journal of Accountancy and California CPA Magazine, Jeff Lenning, founder of Excel University, Inc., has shown thousands of CPAs and accounting professionals across the country how to use Excel more effectively. Drawing on his experience as an auditor, a financial analyst in industry, an accounting manager at a public company, and a consultant, he has demonstrated how to leverage Excel in order to improve efficiency by reducing the time it takes to complete job tasks. Written to reach those he won't have the opportunity to meet in one of his CPE sessions, Lenning's series, Excel University: Microsoft Excel Training for CPAs and Accounting Professionals, offers a comprehensive collection of the features, functions, and techniques that are of direct benefit to accountants working in industry, public practice, consulting, or not-for-profit. Concentrating on Excel for Windows, his books offer a hands-on approach to learning and include narrative, screenshots, video content, Excel practice files, and exercises that demonstrate the practical application of the items presented in each chapter. Visit http: //www.excel-university.com to access the Excel University video library and to download the practice files. Features, functions and techniques are presented in a sequential and progressive manner, so the books are best read in order. In Volume 1, the author presents material and information that will prove useful to every accountant, regardless of the type of work they do. Blown away by the power of Excel, readers are sure to find this series relevant, enlightening, and extremely easy-to-follow. |
| data mapping example excel: Financial Instrument Pricing Using C++ Daniel J. Duffy, 2018-09-05 An integrated guide to C++ and computational finance This complete guide to C++ and computational finance is a follow-up and major extension to Daniel J. Duffy's 2004 edition of Financial Instrument Pricing Using C++. Both C++ and computational finance have evolved and changed dramatically in the last ten years and this book documents these improvements. Duffy focuses on these developments and the advantages for the quant developer by: Delving into a detailed account of the new C++11 standard and its applicability to computational finance. Using de-facto standard libraries, such as Boost and Eigen to improve developer productivity. Developing multiparadigm software using the object-oriented, generic, and functional programming styles. Designing flexible numerical algorithms: modern numerical methods and multiparadigm design patterns. Providing a detailed explanation of the Finite Difference Methods through six chapters, including new developments such as ADE, Method of Lines (MOL), and Uncertain Volatility Models. Developing applications, from financial model to algorithmic design and code, through a coherent approach. Generating interoperability with Excel add-ins, C#, and C++/CLI. Using random number generation in C++11 and Monte Carlo simulation. Duffy adopted a spiral model approach while writing each chapter of Financial Instrument Pricing Using C++ 2e: analyse a little, design a little, and code a little. Each cycle ends with a working prototype in C++ and shows how a given algorithm or numerical method works. Additionally, each chapter contains non-trivial exercises and projects that discuss improvements and extensions to the material. This book is for designers and application developers in computational finance, and assumes the reader has some fundamental experience of C++ and derivatives pricing. HOW TO RECEIVE THE SOURCE CODE Once you have purchased a copy of the book please send an email to the author dduffyATdatasim.nl requesting your personal and non-transferable copy of the source code. Proof of purchase is needed. The subject of the mail should be “C++ Book Source Code Request”. You will receive a reply with a zip file attachment. |
| data mapping example excel: Microsoft Project 2010 Step by Step Carl S. Chatfield, Timothy D. Johnson, 2010 Microsoft Project 2010 offers flexibility and choice for individuals, teams, and the enterprise to effectively manage all types of work - from simple tasks to complex projects and programs. |
| data mapping example excel: Creating and Verifying Data Sets with Excel Robert E. McGrath, 2014-01-21 Accurate data entry and analysis can be deceptively labor-intensive and time-consuming. Creating and Verifying Data Sets with Excel is a focused, easy-to-read guide that gives readers the wherewithal to make use of a remarkable set of data tools tucked within Excel—tools most researchers are entirely unaware of. Robert E. McGrath’s book is the first to focus exclusively on Excel as a data entry system. It incorporates a number of learning tools such as screenshots, text boxes that summarize key points, examples from across the social sciences, tips for creating professional-looking tables, and questions at the end of each chapter. Providing practical strategies to improve and ease the processes of data entry, creation and analysis, this step-by-step guide is a brief, but invaluable resource for both students and researchers. |
| data mapping example excel: Business Process Optimization Jan Stentoft Arlbjørn, Anders Haug, 2010 |
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| data mapping example excel: AutomationML Rainer Drath, 2021-07-19 This book is a beginner's guide to AutomationML Edition 2, written for students, engineers, lecturers, developers and those interested. In guides through the basics of AutomationML Edition 2, CAEX and the AutomationML Editor. AutomationML stands for digitisation of engineering data and engineering workflows. AutomationML achieves both human readability and machine-readability. It is a method for converting data into digital information, and it supports the special needs of iterative engineering data exchange. AutomationML is in the hot spot of the digitisation of automation engineering data. It enables the modelling and transport of engineering data in a vendor neutral and machine-readable models, a valuable source of digital innovation. Machine readable engineering data makes the data accessible and interpretable by software, enabling a plethora of opportunities. This book carefully introduces AutomationML, its goals, values and innovations. It teaches the architecture of AutomationML and explains the language elements with a multitude of examples and step-by-step instructions. Additional material to the book and more information about AutomationML on the website: https://www.automationml.org/about-automationml/publications/amlbook/ |
| data mapping example excel: Learn Excel 97 Through Excel 2007 from Mr. Excel Bill Jelen, 2007-10-27 Updating the previous edition's tips to make them compatible with Excel 2007, and featuring new tips that are only available in Excel 2007, this new edition of Mr. Excel's popular software guide even incorporates suggestions sent in by readers. Each featured topic has a problem statement and description, followed by a broad strategy for solving the problem. Mr. Excel then walks readers through through the specific steps to solve the issue. Alternate strategies are also provided, along with common gotchas that trip users up, leaving readers with not only answers to their specific dilemmas, but also with new and quicker ways to use formulas and spreadsheets. |
| data mapping example excel: Microsoft Project 2010 Inside Out Teresa Stover, Bonnie Biafore, Andreea Marinescu, 2011-05-15 Conquer Microsoft Project 2010—from the inside out! You're beyond the basics, so dive right in and really put your project management skills to work! This supremely organized reference packs hundreds of timesaving solutions, troubleshooting tips, and workarounds. It's all muscle and no fluff. Discover how the experts tackle Project 2010—and challenge yourself to new levels of mastery. Take charge of the project triangle—time, money, and scope—to balance your plan Enable collaboration among team members, sponsors, and other project stakeholders Manually schedule tasks or use the automatic scheduling engine Track and control your project using earned value analysis Create pivot views of project data with Microsoft Excel(R) 2010 and Visio(R) 2010 Manage project activities in an enterprise project-management environment Apply your experience to future projects by creating your own custom templates |
| data mapping example excel: Using Microsoft Project 2000 Tim Pyron, 2000 Necessity for greater flexibility and understanding of project management is coming into its own--even though most people manage projects as part of other duties. This guide seeks to provide consumers with a comprehensive understanding of the features, functions, and best practices of project management by thorough coverage of the industry's leading project management tool. |
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| data mapping example excel: CIO , 2006-05-01 |
| data mapping example excel: Comparative Causal Mapping Mauri Laukkanen, Mingde Wang, 2016-03-03 Comparative Causal Mapping: The CMAP3 Method, by Mauri Laukkanen and Mingde Wang, is an introduction to the conceptual backgrounds of causal (cognitive) mapping and to the typical methods in comparative and composite causal mapping, based on either interview or questionnaire primary data or on secondary documentary data. The discussed CCM research is supported by CMAP3, a freely downloadable (www.uef.fi/cmap3) Windows software platform for CCM studies. The book has three parts. The first discusses the theoretical underpinnings and methodological issues in causal mapping including the target phenomena and different interpretations of causal maps/mapping, the motives for using CCM methods and the criteria of method selection. The second part focuses on the technical aspects of using CMAP3 in typical CCM research. The third part presents three CCM study cases: a classical document-based study; a semi-structured interview-based (SIM) study; and a methodological study comparing SIM with an electronically administered structured hybrid CCM approach. In addition to demonstrating CCM practices, they suggest that different methods produce divergent results and are thus not substitutable. The research task should determine which CCM approach is appropriate. The book will appeal to both academic and professional audiences, in particular to doctoral students and experienced researchers looking for new topics and method approaches, but also to practitioners in fields such as management and organization studies, organizational development, public policy and education, and knowledge management. |
| data mapping example excel: InfoWorld , 1991-07-29 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
| data mapping example excel: Access 2007 Forms and Reports For Dummies Brian Underdahl, Darlene Underdahl, 2011-02-08 Do you have tons and tons of data on your computer but you’re not quite sure how to make heads or tails of them—or even organize them? Are you using Access as spreadsheet rather than what it was really meant for? If you have trouble finding meaning in your data, then Access 2007 Forms & Reports for Dummies let you discover the wonders of this highly useful program. This no-nonsense guide gets right down to business by showing you the easy way to use this powerful tool. It gets you started with selective, targeted queries; forms that improve efficiency; and reports that communicate—while sparing you of any fancy language. This hands-on guide features clear, concise instructions that show you how to: Orient yourself with forms and reports Create and modify queries Build and edit forms Design and update reports Troubleshoot queries, forms, and reports Make your forms useful Add multiple tables to forms Add finishing touches to reports Thanks to the included references, Web sites, and informative tips, putting your data to good use has never been easier. You’ll even add some pizzazz to your reports with handy suggestions on ways to wow your viewers. With Access 2007 Forms & Reports for Dummies, you will be creating effective queries, forms, and reports in no time! |
| data mapping example excel: Digital Mapping Techniques '03, Workshop Proceedings David R. Soller, 2003 |
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a Transnationa…
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; …
Belmont Forum Adopts Open Data Principles for Environmental Chan…
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e …
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 …
