Experiments, surveys, measurements, and observations all generate data. These data can provide useful insights for solving problems, guiding decisions, and formulating strategy. Progressing from relatively unprocessed data to insight, and doing so efficiently, reliably, and confidently, does not come easily, and yet gaining insights from data is a fundamental skill for science as well as many other fields and often overlooked in most textbooks of statistics and data analysis. This accessible and engaging book provides readers with the knowledge, experience, and confidence to work with data and unlock essential information (insights) from data summaries and visualisations. Based on a proven and successful undergraduate course structure, it charts the journey from initial question, through data preparation, import, cleaning, tidying, checking, double-checking, manipulation, and final visualization. These basic skills are sufficient to gain useful insights from data without the need for any statistics; there is enough to learn about even before delving into that world! The book focuses on gaining insights from data via visualisations and summaries. The journey from raw data to insights is clearly illustrated by means of a comprehensive Workflow Demonstration in the book featuring data collected in a real-life study and applicable to many types of question, study, and data. Along the way, readers discover how to efficiently and intuitively use R, RStudio, and tidyverse software, learning from the detailed descriptions of each step in the instructional journey to progress from the raw data to creating elegant and informative visualisations that reveal answers to the initial questions posed. There are an additional three demonstrations online! Insights from Data with R is suitable for undergraduate students and their instructors in the life and environmental sciences seeking to harness the power of R, RStudio, and tidyverse software to master the valuable and prerequisite skills of working with and gaining insights from data.

Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated each day became huge, and continues to grow exponentially. It includes all our uploaded documents, video, and photos, all our social media traffic, our online shopping, even the GPS data from our cars. 'Big Data' represents a qualitative change, not simply a quantitative one. The term refers both to the new technologies involved, and to the way it can be used by business and government. Dawn E. Holmes uses a variety of case studies to explain how data is stored, analysed, and exploited by a variety of bodies from big companies to organizations concerned with disease control. Big data is transforming the way businesses operate, and the way medical research can be carried out. At the same time, it raises important ethical issues; Holmes discusses cases such as the Snowden affair, data security, and domestic smart devices which can be hijacked by hackers. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

The social sciences are becoming datafied. The questions once considered the domain of sociologists are now answered by data scientists operating on large datasets and breaking with methodological tradition, for better or worse. The traditional social sciences, such as sociology or anthropology, are under the double threat of becoming marginalized or even irrelevant, both from new methods of research which require more computational skills and from increasing competition from the corporate world which gains an additional advantage based on data access. However, unlike data scientists, sociologists and anthropologists have a long history of doing qualitative research. The more quantified datasets we have, the more difficult it is to interpret them without adding layers of qualitative interpretation. Big Data therefore needs Thick Data. This book presents the available arsenal of new methods and tools for studying society both quantitatively and qualitatively, opening ground for the social sciences to take the lead in analysing digital behaviour. It shows that Big Data can and should be supplemented and interpreted through thick data as well as cultural analysis. Thick Big Data is critically important for students and researchers in the social sciences to understand the possibilities of digital analysis, both in the quantitative and qualitative area, and to successfully build mixed-methods approaches.

Statistical data and evidence-based claims are increasingly central to our everyday lives. Critically examining 'Big Data', this book charts the recent explosion in sources of data, including those precipitated by global developments and technological change. It sets out changes and controversies related to data harvesting and construction, dissemination and data analytics by a range of private, governmental and social organisations in multiple settings. Analysing the power of data to shape political debate, the presentation of ideas to us by the media, and issues surrounding data ownership and access, the authors suggest how data can be used to uncover injustices and to advance social progress.

There's growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do well--until now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities. Authors Ellen Friedman and Kostas Tzoumas show technical and nontechnical readers alike how Flink is engineered to overcome significant tradeoffs that have limited the effectiveness of other approaches to stream processing. You'll also learn how Flink has the ability to handle both stream and batch data processing with one technology. * Learn the consequences of not doing streaming well--in retail and marketing, IoT, telecom, and banking and finance* Explore how to design data architecture to gain the best advantage from stream processing* Get an overview of Flink's capabilities and features, along with examples of how companies use Flink, including in production* Take a technical dive into Flink, and learn how it handles time and stateful computation* Examine how Flink processes both streaming (unbounded) and batch (bounded) data without sacrificing performance

Dieses neuartige Lehrbuch gibt den Studierenden der neuen Masterstudiengange in zwolf Lern- und Arbeitsmodulen die Grundlage fur einen sicheren Studien- und Prufungserfolg. Der Studierende wird nicht mit Wissen zugeschuttet, sondern kann sich auf der Grundlage einer sehr guten Ubersicht alle relevanten Themengebiete selbststandig erarbeiten. Die Module sind alle gleichermassen aufgebaut. Ausgehend von bestehendem Grundwissen werden exemplarisch Aufgabenstellungen vorgestellt, die vom Leser sukzessive gelost werden. Tests, Projektarbeiten, Fallstudien und weitere Aufgaben unterstutzen den Selbstlern-Effekt. Das Buch zeichnet sich durch ein hohes Mass an Verstandlichkeit und Praxisnahe aus. Ein Buch, das den Leser an die Hand nimmt, ohne ihn zu bevormunde

The essential textbook on agent-based modeling-now fully updated and expanded Agent-Based and Individual-Based Modeling has become the standard textbook on the subject for classroom use and self-instruction. Drawing on the latest version of NetLogo and fully updated with new examples, exercises, and an enhanced text for easier comprehension, this is the essential resource for anyone seeking to understand how the dynamics of biological, social, and other complex systems arise from the characteristics of the agents that make up these systems. Steven Railsback and Volker Grimm lead students stepwise through the processes of designing, programming, documenting, and doing scientific research with agent-based models, focusing on the adaptive behaviors that make these models necessary. They cover the fundamentals of modeling and model analysis, introduce key modeling concepts, and demonstrate how to implement them using NetLogo. They also address pattern-oriented modeling, an invaluable strategy for modeling real-world problems and developing theory. This accessible and authoritative book focuses on modeling as a tool for understanding real complex systems. It explains how to pose a specific question, use observations from actual systems to design models, write and test software, and more. A hands-on introduction that guides students from conceptual design to computer implementation to analysis Filled with new examples and exercises and compatible with the latest version of NetLogo Ideal for students and researchers across the natural and social sciences Written by two leading practitioners Supported by extensive instructional materials at www.railsback-grimm-abm-book.com

What are your organization's policies for generating and using huge datasets full of personal information? This book examines ethical questions raised by the big data phenomenon, and explains why enterprises need to reconsider business decisions concerning privacy and identity. Authors Kord Davis and Doug Patterson provide methods and techniques to help your business engage in a transparent and productive ethical inquiry into your current data practices.

Both individuals and organizations have legitimate interests in understanding how data is handled. Your use of data can directly affect brand quality and revenue--as Target, Apple, Netflix, and dozens of other companies have discovered. With this book, you'll learn how to align your actions with explicit company values and preserve the trust of customers, partners, and stakeholders.Review your data-handling practices and examine whether they reflect core organizational valuesExpress coherent and consistent positions on your organization's use of big dataDefine tactical plans to close gaps between values and practices--and discover how to maintain alignment as conditions change over timeMaintain a balance between the benefits of innovation and the risks of unintended consequences

Einleitung.- I. Web 2.0 = Kommunikation 2.0?.- Web 2.0 - Einfluss auf Kommunikation und Marke.- Mehr gewinnen als verlieren.- Einfluss auf Mitarbeiter und einzelne Geschaftsbereiche.- Der Faktor Vertrauen.- Kommunikationsqualitat in sozialen Medien als Unternehmenskultuelement.- Chancen und Risiken im Unternehmenseinsatz.- Bildkommunikation - Visualisierung von Brands.- II. Social Media in der Praxis.- "In drei Jahren weg von der E-Mail" - Wie kunftig in Unternehmen kommuniziert wird.- Social Security - Gefahren auf Facebook & Co.- Social Media @ IT Governance.- Analyst Relations im Web 2.0-Zeitalter.- Social Media: "... we can't rewind we've gone too far...".- Im Web 2.0-Zeitalter mussen Unternehmn selbst zu Medien werden.- Social Media Measurement.- Appendix 1: Branchenbeispiele.- Abhangigkeit von Branchen.- IT-Services / System-Integration.- Social Media in pharmazeutischen Unternehmen.- Appendix 2: Internaitionale Entwicklungen.- Im Social Web der Mitte.- Die Autoren.- Index.

Focus on the most important and most often overlooked factor in a successful Tableau project-data. Without a reliable data source, you will not achieve the results you hope for in Tableau. This book does more than teach the mechanics of data preparation. It teaches you: how to look at data in a new way, to recognize the most common issues that hinder analytics, and how to mitigate those factors one by one. Tableau can change the course of business, but the old adage of "garbage in, garbage out" is the hard truth that hides behind every Tableau sales pitch. That amazing sales demo does not work as well with bad data. The unfortunate reality is that almost all data starts out in a less-than-perfect state. Data prep is hard. Traditionally, we were forced into the world of the database where complex ETL (Extract, Transform, Load) operations created by the data team did all the heavy lifting for us. Fortunately, we have moved past those days. With the introduction of the Tableau Data Prep tool you can now handle most of the common Data Prep and cleanup tasks on your own, at your desk, and without the help of the data team. This essential book will guide you through: The layout and important parts of the Tableau Data Prep tool Connecting to data Data quality and consistency The shape of the data. Is the data oriented in columns or rows? How to decide? Why does it matter? What is the level of detail in the source data? Why is that important? Combining source data to bring in more fields and rows Saving the data flow and the results of our data prep work Common cleanup and setup tasks in Tableau Desktop What You Will Learn Recognize data sources that are good candidates for analytics in Tableau Connect to local, server, and cloud-based data sources Profile data to better understand its content and structure Rename fields, adjust data types, group data points, and aggregate numeric data Pivot data Join data from local, server, and cloud-based sources for unified analytics Review the steps and results of each phase of the Data Prep process Output new data sources that can be reviewed in Tableau or any other analytics tool Who This Book Is For Tableau Desktop users who want to: connect to data, profile the data to identify common issues, clean up those issues, join to additional data sources, and save the newly cleaned, joined data so that it can be used more effectively in Tableau

This is a glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the "DAMA Data Management Body of Knowledge (DAMA-DMBOK)". Topics include: Analytics & Data Mining; Architecture; Artificial Intelligence; Business Analysis; DAMA & Professional Development; Databases & Database Design; Database Administration; Data Governance & Stewardship; Data Management; Data Modeling; Data Movement & Integration; Data Quality Management; Data Security Management; Data Warehousing & Business Intelligence; Document, Record & Content Management; Finance & Accounting; Geospatial Data; Knowledge Management; Marketing & Customer Relationship Management; Meta-Data Management; Multi-dimensional & OLAP; Normalization; Object-Orientation; Parallel Database Processing; Planning; Process Management; Project Management; Reference & Master Data Management; Semantic Modeling; Software Development; Standards Organizations; Structured Query Language (SQL); and, XML Development.

A four-color journey through a complete Tableau visualization Tableau is a popular data visualization tool that's easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visually for easy understanding, it's no surprise that Tableau is an essential tool in our data-driven economy. Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards. - Learn the different types of charts you can create - Use aggregation, calculated fields, and parameters - Create insightful maps - Share interactive dashboards Geared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away.

The second edition of this internationally acclaimed title is the ideal handbook for those involved in conducting epidemiological research. The objective of most epidemiological studies is to relate exposure to putative causal agents to the occurrence of a particular disease. The achievement of this objective depends critically on accurate measurement of exposure. This book reviews principles and techniques that can be applied to measuring a wide range of exposures, including demographic, behavioral, medical, genetic, and environmental factors. The book covers questionnaire design, conducting personal interviews, abstracting information from medical records, use of proxy respondents, and measurements from human specimens and in the environment. It gives a comprehensive account of measurement error and the estimation of its effects, and the design, analysis, and interpretation of validity and reliability studies. Emphasis is given to the ways in which the validity of measurements can be increased. Techniques to maximize participation of subjects in epidemiological studies are discussed, and ethical issues relevant to exposure measurement are outlined.

Das essential stellt die Preistrager und Nominierten des Hermes Awards im Zusammenhang mit dem Paradigmenwechsel der industriellen Fertigung im Internetzeitalter vor. Zunachst erlautern drei Experten das Konzept der Industrie 4.0. Im Anschluss werden Gewinner und nominierte Firmen des Hermes Awards 2015 sowie die Preistrager der ersten Jahre unter Einbeziehung aktueller technischer Innovationen und wirtschaftlicher Auswirkungen der pramierten Leistungen vorgestellt.

Die Autoren zeigen einen neuen Weg auf, gamifizierte Wissensmanagementsysteme mit der Anwendung spielerischer Elemente zu gestalten, und beschreiben die Anforderungserhebung, die Gestaltung und Evaluation des Systems. Hierbei gehen sie auf die theoretischen Grundlagen sowie die Umsetzung und Nutzung in einem Unternehmen ein. Mithilfe von Gamification-Mechanismen sollen Projektteams dazu motiviert werden, ihr Wissen und ihre Erfahrungen zu dokumentieren und in anderen Projekten wiederzuverwenden. Damit erhalt der Leser einen umfassenden Einblick in die Theorie und Praxis des modernen Wissensmanagements in Projekten.

Andreas Gadatsch beschreibt, was IT-Controlling konkret ist und wie man es nutzen kann. Hierzu erklart der Autor die zentralen Aspekte und stellt praxistaugliche Methoden anhand von Beispielen vor. Erleichtern Sie sich die tagliche Praxis im IT-Management! Nach der Lekture dieses essentials koennen Sie u. a. mit Hilfe der IT-Balanced Scorecard IT-Strategien umsetzen und steuern oder mit Hilfe des Portfoliomanagements Projektbundel zusammenstellen und uberwachen. Die Earned-Value-Analyse hilft Ihnen bei der Projektplanung und deren UEberwachung. Mit Hilfe der IT-Kosten- und Leistungsrechnung und IT-Kennzahlen liefern Sie die Basis fur rationale Entscheidungen und ein zielorientiertes Reporting. Wer mehr wissen moechte, findet hier auch geeignete Hinweise auf weitere Literatur und aktuelle Studien.

In diesem essential werden die ubergeordneten Zielsetzungen der Applikationsentwicklung und einfuhrung auf vier Evolutionsphasen verteilt, um unterschiedlichen Anforderungen gerecht zu werden. Durch den daraus resultierenden strategischen Applikationslebenszyklus (SALZ) koennen innovative Neuentwicklungen in fruhen Phasen von technischen und architekturbezogenen Vorgaben befreit und agil entwickelt werden, wahrend fur operative Kernsysteme weiterhin ein ausfuhrliches AEnderungsmanagement betrieben wird. Damit bietet der SALZ auch die Grundlage, um in Unternehmen IT-Entwicklungsprojekte adaptiv mit unterschiedlichen Geschwindigkeiten zu realisieren. Alle Erkenntnisse werden am erfolgreichen Praxisbeispiel des Q-Cockpit-Projekts demonstriert.

Frank Rechsteiner liefert neue Strategien und Handlungsempfehlungen zur Rekrutierung von hochqualifizierten IT-Spezialisten. Basierend auf zahlreichen Umfragen und Studien zeigt er wichtige Trends fur den Arbeits- und Bewerbermarkt im IT-Bereich auf und gibt Tipps zum erfolgreichen Umgang mit den derzeitigen Herausforderungen. Das essential ladt HR-Verantwortliche und Geschaftsfuhrer ein, spezialisierte IT-Mitarbeiter nicht nur als Ressource zu betrachten, sondern auf die besonderen Bedurfnisse dieser Berufsgruppe einzugehen. Die daraus abgeleiteten Massnahmen ermoeglichen es, geeignete Experten zu finden und dauerhaft an das Unternehmen zu binden.

Das Lernpaket vermittelt medienadaquat die notwendigen Kenntnisse, um Konzeptionen und Drehbucher fur interaktive Lernprogramme zu erstellen. Das Paket enthalt eine CD-ROM mit dem interaktiven multimedialen Lernprogramm, eine Referenz-CD-ROM mit professionellen und praxiserprobten Beispielen sowie ein umfassendes Handbuch. Von den Qualitatskriterien bis zum Einsatz von Computer- und Web-Based-Training, vom Medienrecht bis zur Projektorganisation bietet das Lernpaket alles fur die Qualifikation zum Projektleiter fur CBT-Entwicklungen.

Das Buch orientiert sich an drei thematischen Schwerpunkten. Nach einer Einleitung zum Forschungsstand widmet sich der erste Schwerpunkt Das elektronische Wegetagebuch Praxisberichten bzw. Methodenkonzepten. Der zweite Schwerpunkt fokussiert die technischen Aspekte der Erfassung von Wegedaten. Dabei wird auf unterschiedliche Ortungstechnologien Bezug genommen, auf Methoden der Ortung und auf Anwendungsfalle eingegangen. Der dritte Schwerpunkt richtet den Blick auf den Nutzer. Hier stehen vor allem Fragen zum Datenschutz und zur Akzeptanz sowie zur Nutzerintegration im Postprozessing der Datenaufbereitung im Vordergrund. Das Buch schliesst mit einer Zusammenfassung der wesentlichen Ergebnisse und einem Ausblick uber Anforderungen an ein Smartphone basiertes Wegetracking als wissenschaftliche Methode."

Diskrete und kontinuierliche Methoden der mathematischen Optimierung werden in diesem Lehrbuch integriert behandelt. Nach einer Einfuhrung werden konvexe Mengen (mit einer Anwendung auf notwendige Optimalitatsbedingungen bei Ungleichungsrestriktionen) behandelt, gefolgt von einer genaueren Betrachtung des Spezialfalls von Polyedern und dessen Zusammenhang zum Linearen Programmieren. Eine ausfuhrliche Darstellung des Simplexverfahrens schliesst diesen Teil ab. Danach wird die Konvexitat von Funktionen (inklusive einiger Abschwachungen) untersucht und fur ein grundliches Studium von Optimalitatskriterien sowie der Lagrange-Dualitat verwendet. Schliesslich folgen noch ein Ausblick auf allgemeine Algorithmen sowie ein kurzer Anhang zur affinen Geometrie. In der Neuauflage ist Anordnung und Darstellung des behandelten Stoffs nochmals grundlich im Sinne der aktuellen BA-Studiengange Mathematik, Wirtschaftswissenschaften und Informatik uberarbeitet worden.