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Data Visualization Made Simple: Insights into Becoming Visual
by Kristen SosulskiData Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more. In nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.
Data Visualization with Microsoft Power BI
by Alex Kolokolov Maxim ZelenskyThe sheer volume of business data has reached an all-time high. Using visualizations to transform this data into useful and understandable information can facilitate better decision-making. This practical book shows data analysts as well as professionals in finance, sales, and marketing how to quickly create visualizations and build savvy dashboards.Alex Kolokolov from Data2Speak and Maxim Zelensky from Intelligent Business explain in simple and clear language how to create brilliant charts with Microsoft Power BI and follow best practices for corporate reporting. No technical background is required. Step-by-step guides help you set up any chart in a few clicks and avoid common mistakes. Also, experienced data analysts will find tips and tricks on how to enrich their reports with advanced visuals.This book helps you understand:The basic rules for classic charts that are used in 90% of business reportsExceptions to general rules based on real business casesBest practices for dashboard designHow to properly set up interactionsHow to prepare data for advanced visualsHow to avoid pitfalls with eye-catching charts
Data Warehouse Requirements Engineering: A Decision Based Approach
by Naveen Prakash Deepika PrakashAs the first to focus on the issue of Data Warehouse Requirements Engineering, this book introduces a model-driven requirements process used to identify requirements granules and incrementally develop data warehouse fragments. In addition, it presents an approach to the pair-wise integration of requirements granules for consolidating multiple data warehouse fragments. The process is systematic and does away with the fuzziness associated with existing techniques. Thus, consolidation is treated as a requirements engineering issue. The notion of a decision occupies a central position in the decision-based approach. On one hand, information relevant to a decision must be elicited from stakeholders; modeled; and transformed into multi-dimensional form. On the other, decisions themselves are to be obtained from decision applications. For the former, the authors introduce a suite of information elicitation techniques specific to data warehousing. This information is subsequently converted into multi-dimensional form. For the latter, not only are decisions obtained from decision applications for managing operational businesses, but also from applications for formulating business policies and for defining rules for enforcing policies, respectively. In this context, the book presents a broad range of models, tools and techniques. For readers from academia, the book identifies the scientific/technological problems it addresses and provides cogent arguments for the proposed solutions; for readers from industry, it presents an approach for ensuring that the product meets its requirements while ensuring low lead times in delivery.
Data-Warehouse-Systeme kompakt: Aufbau, Architektur, Grundfunktionen (Xpert.press)
by Kiumars FarkischIn dem Buch werden Data-Warehouse-Systeme als einheitliche, zentrale, vollständige, historisierte und analytische IT-Plattform untersucht und ihre Rolle für die Datenanalyse und für Entscheidungsfindungsprozesse dargestellt. Dabei behandelt der Autor die einzelnen Komponenten, die für den Aufbau, die Architektur und den Betrieb eines Data-Warehouse-Systems von Bedeutung sind. Die multidimensionale Datenmodellierung, der ETL-Prozess und Analysemethoden werden erörtert und Maßnahmen zur Performancesteigerung von Data-Warehouse-Systemen diskutiert.
Data Warehousing for Biomedical Informatics
by Richard E. BiehlData Warehousing for Biomedical Informatics is a step-by-step how-to guide for designing and building an enterprise-wide data warehouse across a biomedical or healthcare institution, using a four-iteration lifecycle and standardized design pattern. It enables you to quickly implement a fully-scalable generic data architecture that supports your organization's clinical, operational, administrative, financial, and research data. By following the guidelines in this book, you will be able to successfully progress through the Alpha, Beta, and Gamma versions, plus fully implement your first production release in about a year.
Data Wrangling with R
by Bradley C. BoehmkeThis guide for practicing statisticians, data scientists, and R users and programmers will teach the essentials of preprocessing: data leveraging the R programming language to easily and quickly turn noisy data into usable pieces of information. Data wrangling, which is also commonly referred to as data munging, transformation, manipulation, janitor work, etc., can be a painstakingly laborious process. Roughly 80% of data analysis is spent on cleaning and preparing data; however, being a prerequisite to the rest of the data analysis workflow (visualization, analysis, reporting), it is essential that one become fluent and efficient in data wrangling techniques.This book will guide the user through the data wrangling process via a step-by-step tutorial approach and provide a solid foundation for working with data in R. The author's goal is to teach the user how to easily wrangle data in order to spend more time on understanding the content of the data. By the end of the book, the user will have learned: How to work with different types of data such as numerics, characters, regular expressions, factors, and datesThe difference between different data structures and how to create, add additional components to, and subset each data structureHow to acquire and parse data from locations previously inaccessibleHow to develop functions and use loop control structures to reduce code redundancyHow to use pipe operators to simplify code and make it more readableHow to reshape the layout of data and manipulate, summarize, and join data sets
Data you need to know about China: Research Report of China Household Finance Survey•2012
by Li Gan Zhichao Yin Nan Jia Lu Zheng Shu XuSince the beginning of the 21st century, China has been going through a period of dramatically fast economic development. What is the real life of the Chinese like under China's continued rapid GDP growth? How rich are the rich and how poor are the poor? This book provides first-hand data on Chinese households' living standards, which may answer the above questions to some extent. The Survey and Research Center for China Household Finance conducted the first and only nationally representative survey on household finance in China in 2011. Based on the results from the China Household Finance Survey (CHFS), this book presents an analysis of the micro-level information on China households' demographics, housing and financial assets, debt and credit constraints, income and expenditures, social welfare and insurance, intergenerational transfer payments, employment and payment habits. The readers can get a vivid picture of wealth disparity, real estate market developments, social welfare status, household financial behaviors and other economic issues in present-day China. For more information, please visit www. chfsdata. org
Database Design, Query, Formulation, and Administration: Using Oracle and PostgreSQL
by Michael ManninoFormerly published by Chicago Business Press, now published by Sage Database Design, Query Formulation, and Administration, Eighth Edition, offers a comprehensive understanding of database technology. Author Michael Mannino equips students with the necessary tools to grasp the fundamental concepts of database management, and then guides them in honing their skills to solve both basic and advanced challenges in query formulation, data modeling, and database application development. Features of the Eighth Edition: Unmatched SQL coverage in both breadth and depth Oracle and PostgreSQL coverage Problem-solving guidelines Sample databases and examples Data modeling tools Data warehouse coverage NoSQL coverage Current and cutting-edge topics Comprehensive enough for multiple database courses
Database Design, Query, Formulation, and Administration: Using Oracle and PostgreSQL
by Michael ManninoFormerly published by Chicago Business Press, now published by Sage Database Design, Query Formulation, and Administration, Eighth Edition, offers a comprehensive understanding of database technology. Author Michael Mannino equips students with the necessary tools to grasp the fundamental concepts of database management, and then guides them in honing their skills to solve both basic and advanced challenges in query formulation, data modeling, and database application development. Features of the Eighth Edition: Unmatched SQL coverage in both breadth and depth Oracle and PostgreSQL coverage Problem-solving guidelines Sample databases and examples Data modeling tools Data warehouse coverage NoSQL coverage Current and cutting-edge topics Comprehensive enough for multiple database courses
Database Nation: the Death of Privacy in the 21st Century
by Simson GarfinkelDiscusses the many ways in which individual privacy has been and is being eroded, as personal information is gathered and stored without your knowledge.
Database Systems: Introduction to Databases and Data Warehouses
by Nenad Jukic Susan Vrbsky Svetlozar Nestorov Abhishek SharmaAn introductory, yet comprehensive, database textbook intended for use in undergraduate and graduate information systems database courses. This text also provides practical content to current and aspiring information systems, business data analysis, and decision support industry professionals. Database Systems: Introduction to Databases and Data Warehouses covers both analytical and operations databases as knowledge of both is integral to being successful in today’s business environment. It also provides a solid theoretical foundation and hands-on practice using an integrated web-based data-modeling suite.
Databases and Information Systems: 12th International Baltic Conference, DB&IS 2016, Riga, Latvia, July 4-6, 2016, Proceedings (Communications in Computer and Information Science #615)
by Guntis Arnicans Vineta Arnicane Juris Borzovs Laila NiedriteThis book constitutes the refereed proceedings of the 12th International Baltic Conference on Databases and Information Systems, DB&IS 2016, held in Riga, Latvia, in July 2016. The 25 revised full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on ontology, conceptual modeling and databases; tools, technologies and languages for model-driven development; decision support systems and data mining; advanced systems and technologies; business process modeling and performance measurement; software testing and quality assurance; linguistic components of IS; information technology in teaching and learning.
Databases for Small Business: Essentials of Database Management, Data Analysis, and Staff Training for Entrepreneurs and Professionals
by Anna ManningThis book covers the practical aspects of database design, data cleansing, data analysis, and data protection, among others. The focus is on what you really need to know to create the right database for your small business and to leverage it most effectively to spur growth and revenue. Databases for Small Business is a practical handbook for entrepreneurs, managers, staff, and professionals in small organizations who are not IT specialists but who recognize the need to ramp up their small organizations' use of data and to round out their own business expertise and office skills with basic database proficiency. Anna Manning--a data scientist who has worked on database design and data analysis in a computer science university research lab, her own small business, and a nonprofit--walks you through the progression of steps that will enable you to extract actionable intelligence and maximum value from your business data in terms of marketing, sales, customer relations, decision making, and business strategy. Dr. Manning illustrates the steps in the book with four running case studies of a small online business, an engineering startup, a small legal firm, and a nonprofit organization. What you'll learn Design a small business database from scratch Extract the maximum profit from your data Follow guidance on data protection law Effectively use data collection and data cleansing techniques Train staff to leverage your data Who this book is for Databases for Small Business is a practical handbook for entrepreneurs, managers, staff, and professionals in any small organization who are not IT specialists but who recognize the need to ramp up their small organization's use of data and to round out their own and their staff's business expertise and office skills with basic database proficiency. Table of Contents Chapter 1. How Data Can Benefit Your Small Business Chapter 2. A Small Engineering Company: Case Study Chapter 3. A Small Law Firm: Case Study Chapter 4. A Small Nonprofit: Case Study Chapter 5. Aligning Your Database With the Goals of Your Small Business Chapter 6. Choosing between Spreadsheets and Databases Chapter 7. Designing Your Small Business Database Chapter 8. Data Protection Laws and Your Data Security and Privacy Policy Chapter 9. Collecting Your Data Chapter 10. Cleansing Your Data Chapter 11. Maintaining Your Database Chapter 12. Searching Your Database Chapter 13. Analyzing Your Data Chapter 14. Reporting Your Small Business Data Analysis Chapter 15. Acting on Reports Chapter 16. Acting on Outside Requests Chapter 17. Archiving and Retrieving Your Small Business Data Chapter 18. Storing Your Database in the Cloud Chapter 19. Searching Online Databases for Your Small Business Needs Chapter 20. Training Your Staff Appendix
Databases with Access
by MOIRA StephenThis handy textbook covers all you need to know to begin to use databases such as Microsoft Access.Learning Made Simple books give readers skills without frills. They are matched to the main qualifications, and written by experienced teachers and authors to make often tricky subjects simple to learn. Every book is designed carefully to provide bite-sized lessons matched to learners’ needs. Building on the multi-million success of the previous series Made Simple Books, Learning Made Simple titles provide both a new colourful way to study and a useful adjunct to any training course. Using full colour throughout, and written by leading teachers and writers, Learning Made Simple books will help readers learn new skills and develop their talents. Whether studying at college, training at work, or reading at home, aiming for a qualification or simply getting up to speed, Learning Made Simple books will give readers the advantage of easy, well-organised training materials in a handy volume with two or four-page sections for each topic for ease of use.
The Datapreneurs: The Promise of AI and the Creators Building Our Future
by Bob Muglia Steve HammA leader in the data economy explains how we arrived at AI—and how we can navigate its future In The Datapreneurs, Bob Muglia helps us understand how innovation in data and information technology have led us to AI—and how this technology must shape our future. The long-time Microsoft executive, former CEO of Snowflake, and current tech investor maps the evolution of the modern data stack and how it has helped build today&’s economy and society. And he explains how humanity must create a new social contract for the artificial general intelligence (AGI)—autonomous machines intelligent as people—that he expects to arrive in less than a decade. Muglia details his personal experience in the foundational years of computing and data analytics, including with Bill Gates and Sam Altman, the CEO of OpenAI, the creator of ChatGPT, and others that are not household names—yet. He builds upon Isaac Asimov&’s Laws of Robotics to explore the moral, ethical, and legal implications of today&’s smart machines, and how a combination of human and machine intelligence could create an era of progress and prosperity where all the people on Earth can have what they need and want without destroying our natural environment.The Datapreneurs is a call to action. AGI is surely coming. Muglia believes that tech business leaders, ethicists, policy leaders, and even the general public must collaborate answer the short- and long-term questions raised by its emergence. And he argues that we had better get going, because advances are coming so fast that society risks getting caught flatfooted—with potentially disastrous consequences.
Datastory: Explain Data and Inspire Action Through Story
by Nancy DuarteScientists have proven that stories make the brain light up in ways no other form of communication does. Using story frameworks as a communication device for data will help make your recommendations stick and be acted on. <p><p>Organizations use data to identify problems or opportunities. The actions others may need to take today from your insights in data could reverse or improve the trajectory of your future data. So, communicating data well, drives very important outcomes. <p><p>Even though most roles depend on data, communicating well is the top skill gap in roles using data. The essential skill for today’s leaders (and aspiring leaders) is shaping data into narratives that make a clear recommendation and inspire others to act. <p><p>Almost every role today uses data for decision making. As you grow in your career, you can become a strategic advisor and ultimately a leader using data to shape a future where humanity and organizations flourish.
Datavision (A)
by Gregory C. Rogers Michael BeerDepicts a "team-building" intervention by an organizational consultant at a small computer company.
DataXu: Selling Ad Tech
by Frank V. Cespedes John Deighton Lisa Cox Olivia HullDataXu served marketers by buying digital advertising for brands using its demand-side platform. It sought a way to build a more predictable revenue stream in the very transactional media marketplace, and hoped that two new marketing analytics products would give it a more predictable revenue stream. But sales were behind forecast. DataXu's large brand and advertising agency clients found the new products interesting, but evidence suggested that their buying processes might be incompatible with the recurring sales model DataXu wanted to implement. Will DataXu need to change its sales organization, pricing approach, or hiring criteria to sell the new products?
Date Palm Byproducts: A Springboard for Circular Bio Economy (Materials Horizons: From Nature to Nanomaterials)
by Hamed EL-Mously Mohamad Midani Eman A. DarwishThis comprehensive book presents an alternative fresh look at date palm byproducts as a springboard for the future circular bio economy. The book shows and exemplifies how these sustainable biomaterials can be the base for a wide spectrum of products and uses. Examples of these numerous products and uses are demonstrated and categorized into five principal uses: i) pharmaceutical, cosmetics and natural wax ,ii) textiles and composites, cellulose and cellulose derivatives, iii)timber and wood substitutes, architecture insulation and building materials, iv) organic fertilizer, compost and soil amendment and water treatment purposes, v) natural fodder and silage , green fuels and bioenergy.
Daten in der wirtschaftswissenschaftlichen Forschung: Festschrift zum 65. Geburtstag von Prof. Dr. Joachim Merz
by Dierk Hirschel Peter Paic Markus ZwickDaten sind in der wirtschaftswissenschaftliche Forschung von hoher Bedeutung. Mit der drastischen Steigerung der Leistungsfähigkeit der Informationstechnik ist es heute möglich, riesige Datenmengen und insbesondere Mikrodaten zu speichern und zu analysieren. Mit dem Sonderforschungsbereich 3 der Deutschen Forschungsgemeinschaft ,Mikroanalytische Grundlagen der Gesellschaftspolitik' begann in den achtziger Jahren des letzten Jahrhunderts das Mikrodatenzeitalter in Deutschland. Seitdem ist die Entwicklung der mikrodatenbasierten Forschung und Politikberatung rasant fortgeschritten. Hierbei hatte und hat der mit diesem Buch geehrte Joachim Merz einen erheblichen Anteil. Der vorliegende Band zeigt einen Ausschnitt des Erfolges dieser wissenschaftlichen Arbeiten. Wegbegleiter wie der eigene wissenschaftliche Nachwuchs geben in insgesamt 12 Beiträgen einen vertiefenden Einblick in den Stand der empirischen wirtschaftswissenschaftlichen Forschung und zeigen mögliche weitere Entwicklungstendenzen auf.
Daten- und Identitätsschutz in Cloud Computing, E-Government und E-Commerce
by Jörg Schwenk Georg BorgesFür neue und künftige Geschäftsfelder von E-Commerce und E-Government stellen der Datenschutz und der Identitätsschutz wichtige Herausforderungen dar. Renommierte Autoren aus Wissenschaft und Praxis widmen sich in dem Band aktuellen Problemen des Daten- und Identitätsschutzes aus rechtlicher und technischer Perspektive. Sie analysieren aktuelle Problemfälle aus der Praxis und bieten Handlungsempfehlungen an. Das Werk richtet sich an Juristen und technisch Verantwortliche in Behörden und Unternehmen sowie an Rechtsanwälte und Wissenschaftler.
Daten- und Prozessmodellierung für Versicherer: Konzepte für moderne IT in Bestandsführung und Schadenmanagement
by Frank UrlaßMit diesem Buch unterstützt Frank Urlaß Versicherungsunternehmen bei der Entwicklung von effizienten, marktgerechten und aufsichtskonformen IT-Landschaften. Mit den vorgestellten Konzepten können sowohl veraltete Hostsysteme modernisiert als auch durch Zukäufe und Fusionen unübersichtlich gewordene Systeme entschlackt werden. Dazu werden in den ersten drei Kapiteln des Buches zunächst ausführlich die theoretischen Grundlagen für die Komplexe Daten- und Prozessmodellierung entwickelt. Jeweils anschließend folgt die Beschreibung der praktischen Ausgestaltungen der Daten- und der Prozessmodelle. Diese Teile werden im nächsten Kapitel durch eine Beschreibung abgeschlossen, in der gezeigt wird, wie das Daten- und das Prozessmodell zusammenwirken und sich wechselseitig bedingen und ergänzen. Nach der Beschreibung eines Vorgehensmodells für einen potenziellen Anwender, der die vorgestellten Konzepte als Vorlage für seine eigene Entwicklung verwenden möchte, folgen in zwei weiteren Kapiteln ein Modell zur fachlichen und technischen Weiterentwicklung der neuen IT sowie die Beschreibung des Preismodells. In zwei Anhängen werden abschließend zunächst eine Liste der Plausibilitäten für die meisten der eingabefähigen Attribute im Datenmodell und danach eine Beschreibung ausgewählter Geschäftsregeln für das Prozessmodell angefügt.
Datenanalyse mit SPSS: Realdatenbasierte Übungs- und Klausuraufgaben mit vollständigen Lösungen
by Peter P. EcksteinPeter P. Eckstein bietet in diesem Lehrbuch eine Vielzahl von Übungs- und Klausuraufgaben zur statistischen Datenanalyse mit SPSS an. Die Aufgaben sind nach inhaltlichen Schwerpunkten geordnet und decken jedes Anspruchsniveau ab. Basis sind reale Daten, die im Kontext von praktischen Problemstellungen der empirischen Wirtschafts- und Sozialforschung erhoben wurden. Vollständige und ausführliche Lösungen zu allen Aufgaben führen zu einer hohen Verständlichkeit des komplexen Stoffes und ermöglichen somit ein effektives Selbststudium und eine gezielte Klausurvorbereitung.Für die siebte Auflage wurde das Aufgabenspektrum auf insgesamt 195 komplexe Problemstellungen mit zahlreichen theoretischen und praktischen Fragen erweitert. Alle in diesem Lehrbuch verwendeten SPSS-Dateien sind im Anhang aufgelistet und stehen im Internet zur freien Verfügung bereit.
Datenbasiert entscheiden: Ein Leitfaden für Unternehmer und Entscheider (essentials)
by Paul Niebler Dominic LindnerDieses Buch befasst sich mit der zielgerichteten Auswertung von vorhandenen Daten im Unternehmen. Während früher viele Entscheidungen aus dem Bauch heraus getroffen wurden, sind heute die resultierenden Erfolge durch das gestiegene Datenvolumen so gut messbar wie nie zuvor. Doch nicht jede Entscheidung wird durch Daten automatisch besser. Es gilt, Daten im Unternehmen zu identifizieren, Ziele zu definieren und die vorhandenen Daten sinnvoll auszuwerten. Damit dieser Schritt gelingt, zeigt dieses Buch mit praktischen Tipps, wie auf Grundlage von Daten bessere Entscheidungen getroffen werden können. Neben den Grundlagen zur Datenanalyse wird ein Praxisbeispiel vorgestellt, aus dem anschließend Anregungen für Unternehmen abgeleitet werden.
Datenbasiert entscheiden: Data Analytics in der Unternehmenspraxis (essentials)
by Paul Niebler Dominic LindnerDieses Buch befasst sich mit der zielgerichteten Auswertung von vorhandenen Daten im Unternehmen. Während früher viele Entscheidungen aus dem Bauch heraus getroffen wurden, sind heute die resultierenden Erfolge durch das gestiegene Datenvolumen so gut messbar wie nie zuvor. Doch nicht jede Entscheidung wird durch Daten automatisch besser. Es gilt, Daten im Unternehmen zu identifizieren, Ziele zu definieren und die vorhandenen Daten sinnvoll auszuwerten. Damit dieser Schritt gelingt, zeigt dieses Buch anhand praktischer Tipps, wie auf Grundlage von Daten bessere Entscheidungen getroffen werden können. Neben den Grundlagen zur Datenanalyse werden Praxisbeispiele vorgestellt, aus denen anschließend Anregungen für Unternehmen abgeleitet werden.