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| data mapping in excel example: 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 in excel example: 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 in excel example: 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 in excel example: 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 in excel example: Excel Basics to Blackbelt Elliot Bendoly, 2013-07-29 This second edition of Excel Basics to Blackbelt capitalizes on the success of the first edition and leverages some of the advancements in visualization, data analysis, and sharing capabilities that have emerged over the past five years. As with the original text, the second edition is intended to serve as an accelerated guide to decision support designs for consultants and service professionals. This 'fast track' enables a ramping up of skills in Excel for those who may have never used it to reach a level of mastery that will allow them to integrate Excel with widely available associated applications, make use of intelligent data visualization and analysis techniques, automate activity through basic VBA designs, and develop easy-to-use interfaces for customizing use. In other words, this book provides users with lessons and examples on integrative Excel use that are not available from alternative texts. |
| data mapping in excel example: 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. |
| data mapping in excel example: 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. |
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| data mapping in excel example: 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 in excel example: 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 in excel example: Programming Excel with VBA and .NET Jeff Webb, Steve Saunders, 2006-04-25 Why program Excel? For solving complex calculations and presenting results, Excel is amazingly complete with every imaginable feature already in place. But programming Excel isn't about adding new features as much as it's about combining existing features to solve particular problems. With a few modifications, you can transform Excel into a task-specific piece of software that will quickly and precisely serve your needs. In other words, Excel is an ideal platform for probably millions of small spreadsheet-based software solutions. The best part is, you can program Excel with no additional tools. A variant of the Visual Basic programming language, VB for Applications (VBA) is built into Excel to facilitate its use as a platform. With VBA, you can create macros and templates, manipulate user interface features such as menus and toolbars, and work with custom user forms or dialog boxes. VBA is relatively easy to use, but if you've never programmed before, Programming Excel with VBA and .NET is a great way to learn a lot very quickly. If you're an experienced Excel user or a Visual Basic programmer, you'll pick up a lot of valuable new tricks. Developers looking forward to .NET development will also find discussion of how the Excel object model works with .NET tools, including Visual Studio Tools for Office (VSTO). This book teaches you how to use Excel VBA by explaining concepts clearly and concisely in plain English, and provides plenty of downloadable samples so you can learn by doing. You'll be exposed to a wide range of tasks most commonly performed with Excel, arranged into chapters according to subject, with those subjects corresponding to one or more Excel objects. With both the samples and important reference information for each object included right in the chapters, instead of tucked away in separate sections, Programming Excel with VBA and .NET covers the entire Excel object library. For those just starting out, it also lays down the basic rules common to all programming languages. With this single-source reference and how-to guide, you'll learn to use the complete range of Excel programming tasks to solve problems, no matter what you're experience level. |
| data mapping in excel example: 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 in excel example: 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 in excel example: How to Make a Map , 2008 |
| data mapping in excel example: 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 in excel example: Exploring the U.S. Census Francis P. Donnelly, Frank Donnelly, 2019-10-07 Exploring the U.S. Census gives social science students and researchers the tools to understand, extract, process, and analyze census data, including the American Community Survey and other datasets. This text provides background on the data collection methods, structures, and potential pitfalls for unfamiliar researchers with applied exercises and software walk-throughs. |
| data mapping in excel example: Using Microsoft Excel 97 Joshua C. Nossiter, 1996 Readers of this to-the-point resource can quickly become users! Whether for personal or business needs, this complete guide teaches readers the fundamentals of understanding and using Excel in a non-technical, practical fashion. -- Learn how to make lists and charts look good and find out how to put them to work -- Designed for comfort, ease-of-use, and ready access so jobs can be accomplished quickly -- Informative sidebars can be easily located for quick reference by busy readers |
| data mapping in excel example: 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 in excel example: Using Microsoft Excel for Social Research Charlotte Brookfield, 2021-01-20 Full of practical advice and real-world examples, this step-by-step guide offers you an accessible introduction to doing quantitative social research using Microsoft Excel. |
| data mapping in excel example: 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 in excel example: Complete Guide to the CITP Body of Knowledge Tommie W. Singleton, 2017-05-15 Looking for tools to help you prepare for the CITP Exam? The CITP self-study guide consists of an in-depth and comprehensive review of the fundamental dimensions of the CITP body of knowledge. This guide features various and updated concepts applicable to all accounting professionals who leverage Information Technology to effectively manage financial information. There are five dimensions covered in the guide: Dimension I Risk Assessment Dimension 2 Fraud Considerations Dimension 3 Internal Controls & Information Technology General Controls Dimension 4 Evaluate, Test and Report Dimension 5 Information Management and Business Intelligence The review guide is designed not only to assist in the candidate's preparation of the CITP examination but will also enhance your knowledge base in today's marketplace. Using the complete guide does not guarantee the candidate of successfully passing the CITP exam. This guide addresses most of the subjects on the CITP exam’s content specification outline and is not meant to teach topics to the candidate for the first time. A significant amount of cooperating and independent readings will be necessary to prepare for the exam, regardless of whether the candidate completes the review course or not. |
| data mapping in excel example: Data Mining for Business Analytics Galit Shmueli, Peter C. Bruce, Nitin R. Patel, 2016-04-18 An applied approach to data mining and predictive analytics with clear exposition, hands-on exercises, and real-life case studies. Readers will work with all of the standard data mining methods using the Microsoft® Office Excel® add-in XLMiner® to develop predictive models and learn how to obtain business value from Big Data. Featuring updated topical coverage on text mining, social network analysis, collaborative filtering, ensemble methods, uplift modeling and more, the Third Edition also includes: Real-world examples to build a theoretical and practical understanding of key data mining methods End-of-chapter exercises that help readers better understand the presented material Data-rich case studies to illustrate various applications of data mining techniques Completely new chapters on social network analysis and text mining A companion site with additional data sets, instructors material that include solutions to exercises and case studies, and Microsoft PowerPoint® slides https://www.dataminingbook.com Free 140-day license to use XLMiner for Education software Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics. The new edition is also a unique reference for analysts, researchers, and practitioners working with predictive analytics in the fields of business, finance, marketing, computer science, and information technology. Praise for the Second Edition ...full of vivid and thought-provoking anecdotes... needs to be read by anyone with a serious interest in research and marketing.– Research Magazine Shmueli et al. have done a wonderful job in presenting the field of data mining - a welcome addition to the literature. – ComputingReviews.com Excellent choice for business analysts...The book is a perfect fit for its intended audience. – Keith McCormick, Consultant and Author of SPSS Statistics For Dummies, Third Edition and SPSS Statistics for Data Analysis and Visualization Galit Shmueli, PhD, is Distinguished Professor at National Tsing Hua University’s Institute of Service Science. She has designed and instructed data mining courses since 2004 at University of Maryland, Statistics.com, The Indian School of Business, and National Tsing Hua University, Taiwan. Professor Shmueli is known for her research and teaching in business analytics, with a focus on statistical and data mining methods in information systems and healthcare. She has authored over 70 journal articles, books, textbooks and book chapters. Peter C. Bruce is President and Founder of the Institute for Statistics Education at www.statistics.com. He has written multiple journal articles and is the developer of Resampling Stats software. He is the author of Introductory Statistics and Analytics: A Resampling Perspective, also published by Wiley. Nitin R. Patel, PhD, is Chairman and cofounder of Cytel, Inc., based in Cambridge, Massachusetts. A Fellow of the American Statistical Association, Dr. Patel has also served as a Visiting Professor at the Massachusetts Institute of Technology and at Harvard University. He is a Fellow of the Computer Society of India and was a professor at the Indian Institute of Management, Ahmedabad for 15 years. |
| data mapping in excel example: Fundamentals of Crime Mapping Rebecca Paynich, Bryan Hill, 2009 Criminal Investigations & Forensic Science |
| data mapping in excel example: Automated Data Analysis Using Excel Brian D. Bissett, 2020 This new edition includes some key topics relating to the latest version of MS Office, including use of the ribbon, current Excel file types, Dashboard, and basic Sharepoint integration. It shows how to automate operations, such as curve fitting, sorting, filtering, and analyzing data from a variety of sources. The book allows users to analyze data and automate the preparation of custom reports and demonstrates how to assign Excel VBA code to the new Ribbon user interface. |
| data mapping in excel example: Programming MapPoint in .NET Chandu Thota, 2006 The author demonstrates to developers how to use the web service to build custom applications with interactive mapping abilities for the desktop, the Web, and for mobile devices. |
| data mapping in excel example: Microsoft Mapping Ray Rischpater, Carmen Au, 2013-11-11 Geospatial mapping applications have become hugely popular in recent years. With smart-phone and tablet numbers snow-balling this trend looks set to continue well into the future. Indeed, it is true to say that in today’s mobile world location-aware apps are becoming the norm rather than the exception. In Microsoft Mapping author Ray Rischpater showcases Microsoft's Bing Maps API and demonstrates how its integration features make it by far the strongest mapping candidate for business that are already using Windows 8 or the .NET Framework. Whether you want to build a new app from scratch of add a few modest geospatial features to your existing website Ray's carefully chosen examples will provide you with both the inspiration and the code you need to achieve your goals. What you’ll learnFully working code samples that show the concepts in use with ASP.NET 4.5, Windows 8 and Windows Phone. Complete solutions to the common problems of geospatial development: visualisation, hosting and localization of services are all explained. Demonstrates how the Bing Maps API can be connected to the Azure Cloud in order to provide a stand-alone mapping bolt-on with little additional up-front cost and great reliability. Unique coverage of how the Bing Maps API can be implanted within Windows Phone and iOS apps to provide a robust service tailored to the capabilities of each device.Who this book is for This book is for experienced Microsoft developers with a grounding in C# and .NET together with a basic understanding of WCF. Table of Contents Getting Started with Microsoft and Mapping Painless Hosting with Azure Geospatial with Azure SQL Database Hosting WCF Services on Windows Azure Map Visualization with Bing Maps for the Web Doing More with Bing Maps Bing Maps for WPF Bing Maps for Windows Store Apps Bing Maps for Windows Phone 8 Power Map for Excel |
| data mapping in excel example: 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 in excel example: QuickBooks 2011: The Missing Manual Bonnie Biafore, 2010-11-01 Your bookkeeping workflow will be smoother and faster with QuickBooks 2011 -- but only if you spend more time using the program than figuring out how it works. This Missing Manual puts you in control: You'll not only find out how and when to use specific features, you'll also get basic accounting advice to help you through the learning process. Set up QuickBooks. Arrange files and preferences to suit your company. Manage your business. Track inventory, control spending, run payroll, and handle income. Follow the money. Examine everything from customer invoices to year-end tasks. Find key info quickly. Take advantage of QuickBooks’ reports, Company Snapshot, and search tools. Streamline your workflow. Set up the Home page and Online Banking Center to meet your needs. Build and monitor budgets. Learn how to keep your company financially fit. Share your financial data. Work with your accountant more efficiently. |
| data mapping in excel example: Data Analysis Using SQL and Excel Gordon S. Linoff, 2010-09-16 Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like. |
| data mapping in excel example: E-discovery: Creating and Managing an Enterprisewide Program Karen A. Schuler, 2011-04-18 One of the hottest topics in computer forensics today, electronic discovery (e-discovery) is the process by which parties involved in litigation respond to requests to produce electronically stored information (ESI). According to the 2007 Socha-Gelbmann Electronic Discovery Survey, it is now a $2 billion industry, a 60% increase from 2004, projected to double by 2009. The core reason for the explosion of e-discovery is sheer volume; evidence is digital and 75% of modern day lawsuits entail e-discovery.A recent survey reports that U.S. companies face an average of 305 pending lawsuits internationally. For large U.S. companies ($1 billion or more in revenue)that number has soared to 556 on average, with an average of 50 new disputes emerging each year for nearly half of them. To properly manage the role of digital information in an investigative or legal setting, an enterprise--whether it is a Fortune 500 company, a small accounting firm or a vast government agency--must develop an effective electronic discovery program. Since the amendments to the Federal Rules of Civil Procedure, which took effect in December 2006, it is even more vital that the lifecycle of electronically stored information be understood and properly managed to avoid risks and costly mistakes. This books holds the keys to success for systems administrators, information security and other IT department personnel who are charged with aiding the e-discovery process. - Comprehensive resource for corporate technologists, records managers, consultants, and legal team members to the e-discovery process, with information unavailable anywhere else - Offers a detailed understanding of key industry trends, especially the Federal Rules of Civil Procedure, that are driving the adoption of e-discovery programs - Includes vital project management metrics to help monitor workflow, gauge costs and speed the process |
| data mapping in excel example: 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 in excel example: Machine Learning for Business Analytics Galit Shmueli, Peter C. Bruce, Kuber R. Deokar, Nitin R. Patel, 2023-03-28 MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning—also known as data mining or predictive analytics—is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications with Analytic Solver® Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter on deep learning A new chapter on experimental feedback techniques, including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology. |
| data mapping in excel example: Canadian Semantic Web Weichang Du, Faezeh Ensan, 2010-08-19 The emergence of Web technologies for the distribution of an immense amount of data and knowledge has given rise to the need for supportive frameworks for kno- edge management. Semantic Web technologies aim at providing shared semantic spaces for Web contents, such that people, applications and communities can use a common platform to share information. Canadian Semantic Web: Technologies and Applications aims at contributing to the advancement of the Semantic Web by providing the most recent signi?cant - search on Semantic Web theory, techniques and applications in academia, industry and government in Canada and all over the world. It also enlightens possible - mantic Web research directions in future by reporting some works in-progress that presenton-goingresearchonprinciplesandapplicationsoftheSemanticWeb,while their implementation or deployment may have not been completed. This book consists of ten chapters. The chapters are extended versions of a - lected set of papers from the second Canadian Semantic Web Working Symposium (CSWWS 2009) and the twenty-?rst international Conference on Software En- neering and Knowledge Engineering (SEKE 2009). CSWWS 2009 was held in Kelowna, British Columbia in May 2009. Since many of the challenging aspects of the research problems tackled in the Semantic Web area fall in the realm of Ar- ?cial Intelligence or employ of AI techniques, CSWWS 2009 was organized in - nd sociation with the 22 Canadian Conference on Arti?cial Intelligence. |
| data mapping in excel example: How Charts Lie: Getting Smarter about Visual Information Alberto Cairo, 2019-10-15 A leading data visualization expert explores the negative—and positive—influences that charts have on our perception of truth. Today, public conversations are increasingly driven by numbers. While charts, infographics, and diagrams can make us smarter, they can also deceive—intentionally or unintentionally. To be informed citizens, we must all be able to decode and use the visual information that politicians, journalists, and even our employers present us with each day. Demystifying an essential new literacy for our data-driven world, How Charts Lie examines contemporary examples ranging from election result infographics to global GDP maps and box office record charts, as well as an updated afterword on the graphics of the COVID-19 pandemic. |
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| data mapping in excel example: Software Engineering Perspectives in Intelligent Systems Radek Silhavy, Petr Silhavy, Zdenka Prokopova, 2020-12-15 This book constitutes the refereed proceedings of the 4th Computational Methods in Systems and Software 2020 (CoMeSySo 2020) proceedings. Software engineering, computer science and artificial intelligence are crucial topics for the research within an intelligent systems problem domain. The CoMeSySo 2020 conference is breaking the barriers, being held online. CoMeSySo 2020 intends to provide an international forum for the discussion of the latest high-quality research results. |
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Data and Digital Outputs Management Plan (DDOMP)
Data and Digital Outputs Management Plan (DDOMP)
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Belmont Forum Data Accessibility Statement and Policy
The DAS encourages researchers to plan for the longevity, reusability, and stability of the data attached to their research publications and results. Access to data promotes reproducibility, …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data Management Annex (Version 1.4) - Belmont Forum
A full Data Management Plan (DMP) for an awarded Belmont Forum CRA project is a living, actively updated document that describes the data management life cycle for the data to be …
AUTOSAR ECU Development Process Using DaVinci and …
CAN communication data and SWC input/output data were mapped. DaVinci Developer features an automatic data mapping function, which is extremely useful when dealing with large amount …
NJDEP MS4 Inventory and Mapping Assistance - New Jersey …
Jan 9, 2018 · Stormwater Basin Inventory and Mapping Example ... • Excel • Geodatabase Transfer 24. Stormwater Basin Inventory and Mapping Example • Verify Existing Equipment …
Insights to preparing for IFC-SG
Missing data in IFC • IFC properties cannot be exported • Existing in-house properties not mapped properly (to wrong IFC properties), thus also can’t be exported Solution: Check …
XMC4800 EtherCAT App and SSC Slave Example - Infineon
mapping. › Open the file “XMC_ESC.xlsx” in the SSC folder using the Microsoft Excel. › This excel file already contains both the Inputs (2 push buttons) and outputs (8 LEDs) variables of the …
ADaM Compliance Starts with ADaM Specifications
mentioned, this is essentially the ADaMIG converted into Excel. The ADSL, OCCDS, and BDS macro parameters are used to group the ADaM data sets defined in the specification into data …
Data mapping and merge mapping in Salesforce - Adobe Inc.
3. Bring it all together in the Agreement Templates tab. Add your data mapping to your agreement template with associated files, settings and so on. Be sure to review your agreement template …
Sample Catalogs, Matrices and Diagrams - togaf.info
houses architecturally relevant assets, such as data centers or end-user computing equipment. It contains the following metamodel entities: •Location Location Catalog A functional …
Streamline process: To Generate SDTM Program by …
annotations of the CRF in line with the SDTM structures by analyzing the raw data. This mapping spec development is time overwhelming, doing it initial time right can save time & efforts. ...
Ensuring Consistent Data Mapping Across SDTM-based …
On the data warehouse side, the three sources of SDTM metadata and data, i.e., annotated CRF (aCRF) in PDF, SDTM data set Specifications (Specs) in Excel and SDTM SAS data sets, …
A Step-by-Step Guide to Advanced Data Visualization
however, Microsoft Excel continues to the be the workhorse for their data visualization needs. If you are an Excel user, the default chart types in do not need to limit your data visualization …
DIY: Create your own SDTM mapping framework
During the process of generating SDTM data from CDASH-based operational data or other source datasets many ... One of the most important aspects of the framework is that there is a single …
P6 Professional XLS Import/Export Data Map Guide
ZZZ.01. However, both of these cost accounts will be exported to Excel with 01 in Cost Account ID column. Attempts to use the resulting Excel spreadsheet to import data into P6 Professional …
Advanced Excel Specification for Automatic SDTM Generation
Agenda • Information-flow pipeline in the project life cycle • SDTM-generating “junction” via standard Excel specification List of required domains List of variables organized by domains …
Best Practices for MITRE ATT&CK® Mapping - CISA
mapping finished reporting to ATT&CK, as there are often more clues within finished reports that can aid an analyst in determining the appropriate mapping. For additional resources on …
PY 2021-2022_Open.Payments.Submission Data Mapping …
To understand changes to the Submission Data Mapping Document, follow these steps: 1. Note which tab in the Submission Data Mapping Document is affected. Then, note the Data …
AAMC CURRICULUM INVENTORY
Jul 1, 2021 · For example, we have likely all been to a lecture that was disappointing. Perhaps too much content was planned, or the material was not presented in a way that engaged the …
Is your organization ready for CDISC 360 View and Challenges?
Feb 27, 2020 · Industry runs macros to automate processing SDTM and ADaM specification excel files, Raw Metadata State and Mapping and Data to create SDTMs, ADaMs and Define.xml …
Lidar 101: An Introduction to Lidar Technology, Data, and …
The ability to “see under trees” is a recurring goal when acquiring elevation data using remote sensing data collected from ab ove the Earth’s surface (e.g., airplanes or satellites). Most of …
RUN Powered by ADP®
4. Go back to the GL mapping page. The GL account should now be available under the. QuickBooks ® Online GL Guide. Update GL Mapping Task on the Home Page. 1. Select the …
Cost allocation and ABC costing in Excel - Excel With Wayne
Cost allocation and ABC costing in Excel Wayne Winston Winston@indiana.edu Cost Value Profit (CVP) Analysis (worksheet CVP) • Profit = (Price-Unit Cost)*Units Sold – Fixed Cost • Can use …
Importing and Mapping Model Load Data - PADT, Inc
data in a non-structured form (unstructured mesh data, for example, in which constructing a simple table to describe the data is not possible) that doesn’t conform to their mesh. • In such …
Sample DPIA template - GDPR.eu
This template is an example of how you can record your DPIA process and outcome. It follows the process set out in our DPIA guidance, and should be read ... the use of personal data, or if you …
6 Semantic Excel - OK
Figure 2a-c. Demonstrates how to Create and Import Data into Semantic Excel. Demo data on depression and worry This tutorial uses a subset of data (Figure 3) from Chapter 4 and 5. …
How to Work with Excel Report and Interactive Analysis - SAP …
Example Words or characters quoted from the screen. These include field names, screen titles, ... Changes mainly focus on the new feature of looking up data sources in the Select Data …
Programmatically mapping source variables to output SDTM …
1. Read an Excel domain worksheet and create a data set of mappings 2. Read an Excel merge worksheet and create a data set of merge relationships. 3. Integrity checks. 4. Read each raw …
Modbus Register Mapping
i Table of Contents SECTION TITLE PAGE SAFETY PRECAUTIONS ...
Donor Mapping and Tracking How -to Guide - NGO In A Box
Donor Mapping and Tracking How -to Guide . AEM Associates, 5 November 2021 . Step 0 – Blank template . a. Begin with a blank template. b. Note there are two tabs: 1) the calendar …
Practical Guidance for ADaM Dataset Specifications and …
Analysis Data Model (ADaM) version 2.1 • Analysis Data Model Implementation Guide . Version 1.1. • Define-XML Version 2.0 Completion Guidelines version 1.0 Draft. PhUSE guidance …
Data Import with the EH&S Open Content Connector - SAP …
To load specification data into the specification database, you must provide data in a table-based format, such as a relational database, Microsoft Excel file or a text file. In most cases, data is …
Manual for CO-PO Mapping and Attainment
Subject:-Data Structures and File Processing Subject code : BC2DS CO’s DESCRIPTION OF THE OUTCOMES BT LEVEL BC2DS.1 Describe different types of data structures, their …
Here is a Trial Balance sample, generated and exported into …
Here is a Trial Balance sample, generated and exported into an Excel spreadsheet, by an accounting software* (*) It should be straightforward to put the trial balance produced by …
Chapter 10: Multidimensional Scaling - University of Illinois …
perceptual mapping is a technique of relative positioning. Similarity versus Preference Data To this point we have discussed perceptual mapping and MDS mainly in terms of similarity data. …
Oracle ARCS Importing Data Using Data Management - BISP …
6.9 Data Load Workbench Step#7 Alternatively, Import Data from Periods option in ARCS. Alternatively, Import data can also be executed directly from ARCS, Periods. Select Period …
About the Tutorial
Data Analysis with Excel i About the Tutorial Data Analysis with Excel is a comprehensive tutorial that provides a good insight into the latest and advanced features available in Microsoft Excel. …
Blue Cross Blue Shield of Michigan - BCBSM
When testing with the CollabT Tool, do not send PHI data in the test file.Be sure to send test member data and not the actual member enrollment data. Keep the test file small, limiting it to …
Using Excel 3D Maps to Visualize and Share Your Community …
4. Clean the data: ‘Fill down’ (ctl+d) any missing categorical data for each record (e.g. geography and age in this case) 5. Format as Table: Select table data. On the Home tab, click Format as …
Group Concept Mapping in R - University of Connecticut
A file browser will open, and you will be asked to select the Excel file that you created. The program will look for structural errors in the data. Fix any problems in the data file before …
[draft] GRI-ESRS Interoperability Index - Global Reporting …
Nov 30, 2023 · This [draft] Interoperability Index follows a columnar format mapping the GRI Standards disclosures to the corresponding ESRS disclosure requirements at a granular level. …
Excel Spreadsheet Import Format - GVERSE
This is a sample of lease ownership information as stored in an Excel file. Data from this spreadsheet will be copied and pasted into a GeoGraphix template from which it will be …
Community Asset Mapping - National Oceanic and …
Community Asset Mapping . MEETING ENGAGEMENT TOOL . Description . Community asset mapping is a process for identifying and mapping the assets of a community. Assets are the …
NIST Cybersecurity Framework 2.0
The table below shows a notional example of a single row from an Organizational Profile. This is meant for illustrative purposes only. Here are some tips drawn from the example: • Add and …
User manual for Excel Map
be changed in columns J:S (maximum of 10 additional columns are available) and complete data for these columns. Next apply command Choose data range and select right column …
Some Examples for CO-PO(1-3)Mapping - NBA), Ind
Course:- Environmental Engineering-I Example-3 Example situation 1: CO3: Able to Describe basic structure of drinking water supply systems and design the component systems of water …
Data Workbench - SAP Online Help
For example, you want to transfer all the existing data ... Do you want to enable ID mapping? 1.1 Data Preparation. Overview. The data that is either downloaded from a legacy system, a third …
Building PI System Assets and Analytics with PI AF - AVEVA
PI Interfaces feeding data to a Data Archive from which the data can be consumed by various applications. The following is an example of a fully developed PI System, which includes most …
Fire Hazard Analysis Techniques
Statistical data from NFPA or from the National Fire Incident Reporting System (NFIRS) on ignition sources, first items ignited, rooms of origin, and the like can provide valuable insight …
How to Create a 13F XML Information Table using Excel …
Errors made when inputting the data will cause subsequent schema validation errors ... table in Excel: • No blank rows above or below the table. • Header information must be on one row (for …
Part 2: PLO/CLO Mapping Part 3: Program Learning …
Part 4: Assessment Data Source(s) and Documentation A. Please identify the source of the PLO data that you are assessing: ☐ AEFIS ☐ Excel Spreadsheet ☐ Other: _____ B. Please …
Poster PP06 - How to write ADaM specifications like a ninja
This document contains the mappings from the raw data to the SDTM datasets. If the database is set up to be CDASH compliant then this mapping will be straightforward. In here will be the …
UCF Mapping Report - National Institute of Standards and …
Jan 12, 2018 · data flows are mapped. 10059 Maintain up-to-date data flow diagrams. ID.AM-4 External information systems are catalogued 04885 Include interconnected systems and …
