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SAS Text Analytics for Business Applications

SAS Text Analytics for Business Applications

Autor: Teresa Jade , Biljana Belamaric-wilsey , Michael Wallis

Número de Páginas: 260

Extract actionable insights from text and unstructured data. Information extraction is the task of automatically extracting structured information from unstructured or semi-structured text. SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models focuses on this key element of natural language processing (NLP) and provides real-world guidance on the effective application of text analytics. Using scenarios and data based on business cases across many different domains and industries, the book includes many helpful tips and best practices from SAS text analytics experts to ensure fast, valuable insight from your textual data. Written for a broad audience of beginning, intermediate, and advanced users of SAS text analytics products, including SAS Visual Text Analytics, SAS Contextual Analysis, and SAS Enterprise Content Categorization, this book provides a solid technical reference. You will learn the SAS information extraction toolkit, broaden your knowledge of rule-based methods, and answer new business questions. As your practical experience grows, this book will serve as a reference to deepen your expertise.

Text Mining and Analysis

Text Mining and Analysis

Autor: Dr. Goutam Chakraborty , Murali Pagolu , Satish Garla

Número de Páginas: 340

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text...

Text as Data

Text as Data

Autor: Barry Deville , Gurpreet Singh Bawa

Número de Páginas: 240

Text As Data: Combining qualitative and quantitative algorithms within the SAS system for accurate, effective and understandable text analytics The need for powerful, accurate and increasingly automatic text analysis software in modern information technology has dramatically increased. Fields as diverse as financial management, fraud and cybercrime prevention, Pharmaceutical R&D, social media marketing, customer care, and health services are implementing more comprehensive text-inclusive, analytics strategies. Text as Data: Computational Methods of Understanding Written Expression Using SAS presents an overview of text analytics and the critical role SAS software plays in combining linguistic and quantitative algorithms in the evolution of this dynamic field. Drawing on over two decades of experience in text analytics, authors Barry deVille and Gurpreet Singh Bawa examine the evolution of text mining and cloud-based solutions, and the development of SAS Visual Text Analytics. By integrating quantitative data and textual analysis with advanced computer learning principles, the authors demonstrate the combined advantages of SAS compared to standard approaches, and show how...

SAS For Dummies

SAS For Dummies

Autor: Stephen Mcdaniel , Chris Hemedinger

Número de Páginas: 395

The fun and easy way to learn to use this leading business intelligence tool Written by an author team who is directly involved with SAS, this easy-to-follow guide is fully updated for the latest release of SAS and covers just what you need to put this popular software to work in your business. SAS allows any business or enterprise to improve data delivery, analysis, reporting, movement across a company, data mining, forecasting, statistical analysis, and more. SAS For Dummies, 2nd Edition gives you the necessary background on what SAS can do for you and explains how to use the Enterprise Guide. SAS provides statistical and data analysis tools to help you deal with all kinds of data: operational, financial, performance, and more Places special emphasis on Enterprise Guide and other analytical tools, covering all commonly used features Covers all commonly used features and shows you the practical applications you can put to work in your business Explores how to get various types of data into the software and how to work with databases Covers producing reports and Web reporting tools, analytics, macros, and working with your data In the easy-to-follow, no-nonsense For Dummies...

SAS Visual Analytics for SAS Viya

SAS Visual Analytics for SAS Viya

Autor: Sas

Número de Páginas: 362

Discover your data and create reports in an elegant and intuitive web-based interface! SAS Visual Analytics for SAS Viya is a practical guide designed to get you started investigating your data and creating reports with SAS Visual Analytics, a web-based tool that enables you to explore huge volumes of data to identify patterns, trends, and opportunities. Learn how to report, share, and collaborate on insights from data with no SAS programming skills necessary – this book is accessible to all, including decision makers, business analysts, report creators, and citizen data scientists. SAS Visual Analytics for SAS Viya first introduces the basics needed to prepare and explore your data, make discoveries, and create a report in SAS Visual Analytics. Then, the second section describes more advanced topics, such as using automated explanation and creating advanced interactive reports with parameters. The book covers: Adding and manipulating data items within SAS Visual Analytics Analyzing data with SAS Visual Analytics Designing and sharing reports using SAS Visual Analytics Demonstrations and practices are included for you to follow to gain hands-on experience with SAS Visual...

Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner

Autor: Olivia Parr-rud

Número de Páginas: 182

This tutorial for data analysts new to SAS Enterprise Guide and SAS Enterprise Miner provides valuable experience using powerful statistical software to complete the kinds of business analytics common to most industries. This beginnner's guide with clear, illustrated, step-by-step instructions will lead you through examples based on business case studies. You will formulate the business objective, manage the data, and perform analyses that you can use to optimize marketing, risk, and customer relationship management, as well as business processes and human resources. Topics include descriptive analysis, predictive modeling and analytics, customer segmentation, market analysis, share-of-wallet analysis, penetration analysis, and business intelligence. --

Practical Business Analytics Using SAS

Practical Business Analytics Using SAS

Autor: Shailendra Kadre , Venkat Reddy Konasani

Número de Páginas: 565

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big data experts—first show how SAS is used in business, and then how to get started programming in SAS by importing data and learning how to manipulate it. Besides illustrating SAS basic functions, you will see how each function can be used to get the information you need to improve business performance. Each chapter offers hands-on exercises drawn from real business situations. The book then provides an overview of statistics, as well as instruction on exploring data, preparing it for analysis, and testing hypotheses. You will learn how to use SAS to perform analytics and model using both basic and advanced techniques like multiple regression, logistic regression, and time series analysis, among other topics. The book concludes with a chapter on analyzing big data. Illustrations from banking and other industries make the principles and methods come to life. Readers will find just...

Text Mining and Analysis

Text Mining and Analysis

Autor: Goutam Chakraborty , Murali Pagolu , Satish Garla

Número de Páginas: 340

Big data: It's unstructured, it's coming at you fast, and there's lots of it. In fact, the majority of big data is text-oriented, thanks to the proliferation of online sources such as blogs, emails, and social media. However, having big data means little if you can't leverage it with analytics. Now you can explore the large volumes of unstructured text data that your organization has collected with Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS. This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries. Text analytics enables you to gain insights about your customers' behaviors and sentiments. Leverage your organization's text data, and use those insights for making better business decisions with Text...

Insightful Data Visualization with SAS Viya

Insightful Data Visualization with SAS Viya

Autor: Falko Schulz , Travis Murphy

Número de Páginas: 219

Elevate your storytelling with SAS Visual Analytics Data visualization is the gateway to artificial intelligence (AI) and big data. Insightful Data Visualization with SAS Viya shows how the latest SAS Viya tools can be used to create data visualizations in an easier, smarter, and more engaging way than ever before. SAS Visual Analytics combined with human creativity can produce endless possibilities. In this book, you will learn tips and techniques for getting the most from your SAS Visual Analytics investment. From beginners to advanced SAS users, this book has something for everyone. Use AI wizards to create data visualization automatically, learn to use advanced analytics in your dashboards to surface smarter insights, and learn to extend SAS Visual Analytics with advanced integrations and options. Topics covered in this book include: SAS Visual Analytics Data visualization with SAS Reports and dashboards SAS code examples Self-service analytics SAS data access Extending SAS beyond drag and drop

SAS Essentials

SAS Essentials

Autor: Alan C. Elliott , Wayne A. Woodward

Número de Páginas: 582

SAS ESSENTIALS Valuable step-by-step introduction to using SAS® statistical software as a foundational approach to data analysis and interpretation Presenting a straightforward introduction from the ground up, SAS® Essentials illustrates SAS using hands-on learning techniques and numerous real-world examples; keeping different experience levels in mind, the highly qualified author team has developed the book over 25 years of teaching introductory SAS courses. This book introduces data manipulation, statistical techniques, and the SAS programming language, including SAS macros, reporting results in tables, and factor analysis, as well as sections on character functions, variable manipulation, and merging, appending, and updating files. It features self-contained chapters to enhance the learning process and includes programming approaches for the latest version of the SAS platform. The Third Edition has been updated with expanded examples, a new chapter introducing PROC SQL as well as new end-of-chapter exercises. The Third Edition also includes a companion website with data sets, additional code, notes on SAS programming, functions, ODS, PROC SQL, and SAS Arrays, along with...

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Getting Started With Sas Text Miner Software, Release 8.2

Número de Páginas: 46

SAS Text Miner software provides tools for exploring and extracting information from a collection of text documents. SAS Text Miner uncovers the themes and concepts that exist in the collection. The software enables you to evaluate a wide variety of unstructured textual data, such as e-mails, white papers, news articles, and research data. Through text mining, documents can be clustered into groups or classified into predefined categories. Tasks that are described in this guide include file preprocessing, text parsing, quantitative representation of a document collection, clustering, classification, and prediction. Text Miner supports the analysis of unstructured documents in various languages, including English, French, and German. This introductory guide includes real-world examples that show you how to set up a project and then obtain and analyze results. This title is designed for business analysts and statisticians, as well as for marketing representatives, researchers, and anyone who examines large amounts of text in order to extract information and trends. Readers should have basic computer knowledge and should be familiar with SAS Enterprise Miner software.

SAS Add-in 2. 1 for Microsoft Office

SAS Add-in 2. 1 for Microsoft Office

Autor: Sas Publishing

Número de Páginas: 0

Provides step-by-step instructions for analyzing data in Microsoft Excel. You will be guided through several SAS tasks and shown how you can harness the power of SAS in Microsoft Excel. The scenarios in the book use sample data that is provided with Base SAS software, so you can follow the instructions to perform this analysis. This title is print on demand and is non-returnable and non-refundable.

Data Mining Using SAS Applications

Data Mining Using SAS Applications

Autor: George Fernandez

Número de Páginas: 536

Most books on data mining focus on principles and furnish few instructions on how to carry out a data mining project. Data Mining Using SAS Applications not only introduces the key concepts but also enables readers to understand and successfully apply data mining methods using powerful yet user-friendly SAS macro-call files. These methods stress the use of visualization to thoroughly study the structure of data and check the validity of statistical models fitted to data. Learn how to convert PC databases to SAS data Discover sampling techniques to create training and validation samples Understand frequency data analysis for categorical data Explore supervised and unsupervised learning Master exploratory graphical techniques Acquire model validation techniques in regression and classification The text furnishes 13 easy-to-use SAS data mining macros designed to work with the standard SAS modules. No additional modules or previous experience in SAS programming is required. The author shows how to perform complete predictive modeling, including data exploration, model fitting, assumption checks, validation, and scoring new data, on SAS datasets in less than ten minutes!

Predictive Modeling with SAS Enterprise Miner

Predictive Modeling with SAS Enterprise Miner

Autor: Kattamuri S. Sarma

Número de Páginas: 0

Providing an in-depth explanation of the methodology and the theory behind each tool in SAS Enterprise Miner software, Dr. Sarma covers such topics as data collection, data cleaning, data exploration, logistic regression models, and more. The CD-ROM includes data sets and SAS code.

Text Analytics

Text Analytics

Autor: Domenica Fioredistella Iezzi , Damon Mayaffre , Michelangelo Misuraca

Número de Páginas: 302

Focusing on methodologies, applications and challenges of textual data analysis and related fields, this book gathers selected and peer-reviewed contributions presented at the 14th International Conference on Statistical Analysis of Textual Data (JADT 2018), held in Rome, Italy, on June 12-15, 2018. Statistical analysis of textual data is a multidisciplinary field of research that has been mainly fostered by statistics, linguistics, mathematics and computer science. The respective sections of the book focus on techniques, methods and models for text analytics, dictionaries and specific languages, multilingual text analysis, and the applications of text analytics. The interdisciplinary contributions cover topics including text mining, text analytics, network text analysis, information extraction, sentiment analysis, web mining, social media analysis, corpus and quantitative linguistics, statistical and computational methods, and textual data in sociology, psychology, politics, law and marketing.

Practical Text Analytics

Practical Text Analytics

Autor: Murugan Anandarajan , Chelsey Hill , Thomas Nolan

Número de Páginas: 288

This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field. Using text analytics, organizations can derive insights from content such as emails, documents, and social media. Practical Text Analytics is divided into five parts. The first part introduces text analytics, discusses the relationship with content analysis, and provides a general overview of text mining methodology. In the second part, the authors discuss the practice of text analytics, including data preparation and the overall planning process. The third part covers text analytics techniques such as cluster analysis, topic models, and machine learning. In the fourth part of the book, readers learn about techniques used to communicate insights from text analysis, including data storytelling. The final part of Practical Text Analytics offers examples of the application of software programs for text analytics, enabling readers to mine their own text data to uncover information.

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Business Analytics Principles, Concepts, and Applications with SAS

Autor: Marc J. Schniederjans , Marc J. Schniederjans. Dara G. Schniederjans. Christopher M. Starkey

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Business Performance Management Platforms Overview Part 6

Autor: Sandu M. Daniela Ioana

Número de Páginas: 5

SAS (Statistical Analysis System) is a fourth-generation programming language consisting of a suite of modules designed for business intelligence and customer relationship management. SAS software is the standard used in statistical analysis in the pharmaceutical industry and in the public health, partially due to the powerful data import, handling, and manipulation functions added to the base package over the years, to extend the analytical capabilities to different types and formats of data. Other modules available provide for construction of applications for such tasks as data entry or validation. SAS also provides data mining, data warehousing, business intelligence, sustainability and business performance management software. The spectrum of offerings is so wide that many users are expert in one area of the SAS package, but have little or no experience in another.

Unstructured Data Analysis

Unstructured Data Analysis

Autor: Matthew Windham

Número de Páginas: 166

Unlock the power of regular expressions and entity resolution to transform your analytics projects Unstructured data is the most voluminous form of data in the world, and analysts rarely receive it in perfect condition for processing. In other words, textual data needs to be cleaned, transformed, and enhanced before value can be derived from it. Unstructured Data Analysis: Entity Resolution and Regular Expressions in SAS shows SAS programmers of virtually all skill levels how to harness the robust power of regular expressions and entity resolution within the SAS programming language for a wide array of everyday applications of unstructured data analyses. This book uses a practical, examples-based approach to present techniques for unstructured data processing and provides the foundational information needed to perform advanced applications. Beginning with regular expressions in SAS, readers will progress to learning the building blocks of Entity Resolution Analytics including entity extraction, ETL, entity resolution, network mapping and analysis, and management concepts. Filled with motivational examples and helpful guidelines, this book is a critical reference for every...

Predictive Modeling with SAS Enterprise Miner

Predictive Modeling with SAS Enterprise Miner

Autor: Kattamuri S. Sarma

Número de Páginas: 0

Learn the theory behind and methods for predictive modeling using SAS Enterprise Miner. Learn how to produce predictive models and prepare presentation-quality graphics in record time with Predictive Modeling with SAS Enterprise Miner: Practical Solutions for Business Applications, Second Edition. If you are a graduate student, researcher, or statistician interested in predictive modeling; a data mining expert who wants to learn SAS Enterprise Miner; or a business analyst looking for an introduction to predictive modeling using SAS Enterprise Miner, you'll be able to develop predictive models quickly and effectively using the theory and examples presented in this book. Author Kattamuri Sarma offers the theory behind, programming steps for, and examples of predictive modeling with SAS Enterprise Miner, along with exercises at the end of each chapter. You'll gain a comprehensive awareness of how to find solutions for your business needs. This second edition features expanded coverage of the SAS Enterprise Miner nodes, now including File Import, Time Series, Variable Clustering, Cluster, Interactive Binning, Principal Components, AutoNeural, DMNeural, Dmine Regression, Gradient...

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Predictive Modeling with SAS Enterprise Miner

Autor: Kattamuri S. Sarma

Número de Páginas: 574

Written for business analysts, data scientists, statisticians, students, predictive modelers, and data miners, this comprehensive text provides examples that will strengthen your understanding of the essential concepts and methods of predictive modeling. --

Exploring SAS Viya

Exploring SAS Viya

Autor: Sas Education

Número de Páginas: 110

Data visualization enables decision makers to see analytics presented visually so that they can grasp difficult concepts or identify new patterns. SAS offers several solutions for visualizing your data, many of which are powered by SAS Viya. This book includes four visualization solutions powered by SAS Viya: SAS Visual Analytics, SAS Visual Statistics, SAS Visual Text Analytics, and SAS Visual Investigator. SAS visualization software is designed for anyone in your organization who wants to use and derive insights from data-from influencers, decision makers, and analysts to statisticians and data scientists. Also available as a free e-book from sas.com/books.

Las nuevas fuentes de productividad: perspectiva en América Latina

Las nuevas fuentes de productividad: perspectiva en América Latina

Autor: Darío Jesús Quiroga Parra , César Alveiro Montoya Agudelo , Edwin Arbey Hernández García , Marlit Marín Hernández , Joan Torrent Sellens , Josefina Mayra De Llano Feliú , Beatriz Elena Hernández Arias , Claudia Patricia Murcia Zorrilla , Diana Milena Caicedo Concha , Jhon Pinedo López , Carmen Lora Ochoa , Manuel Guerrero Martelo , Carmen Elisa Gómez Tobón , William Alejandro Giraldo Zuluaga , Esteban Arturo Chamorro

Número de Páginas: 199

Los procesos de globalización e internacionalización de los mercados y las econo-mías de los países han hecho que la sociedad global internacional comprenda que el mundo del siglo xxi está conformado por países ricos y pobres, esto es países desarrollados y países en desarrollo. La marcada diferencia entre los dos bloques económicos fue la pregunta que se hicieron los unos y los otros. La respuesta a la pregunta se mostró más allá de la lectura literal de los textos, en la lectura abduc-tiva de la dinámica de los contextos históricos globales del desarrollo económico, educativo, institucional, cultural, del capital social, como también de la ciencia, la tecnología y la innovación (ct&i) en cada país y región. Por una parte, estuvieron las realidades empíricas vividas de cada país, las cuales, mediante las experiencias económicas, sociales, culturales, tecnológicas e institucionales de las personas, quienes expresaron las vivencias en cada espacio y en cada época. Por otro lado, está la ciencia que, igualmente a través del tiempo, ha estado mostrando con el conocimiento y las evidencias científicas, las realidades de las diferencias entre países en...

BIG DATA - Técnicas, herramientas y aplicaciones

BIG DATA - Técnicas, herramientas y aplicaciones

Autor: María PÉrez MarquÉs

Número de Páginas: 425

En la era de grandes conjuntos de datos, procedentes de diversos orígenes, en formatos variados y con una necesidad de procesamiento y análisis rápido y efectivo, las técnicas de Big Data persiguen complementar el manejo ordenado de estos volúmenes, con las técnicas de análisis de la información más avanzadas y efectivas para extraer de modo óptimo el conocimiento contenido en los datos. Las herramientas de Big Data se basan en el paquete de código abierto llamado Hadoop para el análisis masivo de datos, que forma parte de prácticamente todo el software de Big Data. Por ejemplo, SAS incorpora Hadoop en sus aplicaciones (SAS Base, SAS Data Integration, SAS Visual Analytics, SAS Visual Statistics, etc.). IBM trabaja con Hadoop en su plataforma IBM InfoSphere BigInsights. Microsoft incluye Hadoop en su plataforma Windows Azure, SQL Server 2014, HDInsight y Polybase. Oracle incluye Hadoop en Oracle Big Data Appliance, Oracle Big Data Connectors y Oracle Loader for Hadoop. Se describen y analizan estas herramientas de Big Data que implementan SAS, IBM, Microsoft y Oracle, para extraer el conocimiento contenido en los datos. Ventajas: · Los principales comandos Conozca: · ...

La nueva era de los servicios globales

La nueva era de los servicios globales

Autor: Javier Peña Capobianco

Número de Páginas: 299

La nueva era de los servicios globales pretende, por medio de la investigación realizada con más de setenta líderes internacionales durante 2020, poner foco y proyectar la mirada en el futuro de una de las áreas del sector más importantes en las economías modernas. El resultado, a través del espacio de confluencia del Triple-Win (tecnología, modelos de negocios y ser humano), permite identificar las claves del éxito de los emprendimientos de servicios globales en el futuro. Pensado para ser leído por emprendedores, referentes de la política pública y por quienes sientan el llamado a ser protagonistas del cambio de nuestra realidad, se diferencia por las historias que anteceden a cada capítulo y que dan vida al relato.

El Principito

El Principito

Autor: Antoine De Saint- Exupery

Número de Páginas: 64

El clásico de Antoine de Saint-Exupéry, recontado en un libro álbum de gran formato, con las entrañables ilustraciones de Carlos Denis.

Big Data en Educación

Big Data en Educación

Autor: Ben Williamson

Número de Páginas: 315

Los macrodatos o la inteligencia de datos tienen el poder de transformar la educación y la investigación educativa. Gobiernos, investigadoras e investigadores y empresas están comprendiendo el potencial que ofrecen para informar ideas, políticas, contribuir al desarrollo de nuevas herramientas educativas y de formas innovadoras de realizar la enseñanza y de llevar a cabo investigaciones. Este libro focaliza en un imaginario poder de los macrodatos en educación que anima las actividades de quienes desarrollan aplicaciones educativas; en las potencialidades del análisis de datos a alta velocidad en tiempo real, en la supuesta objetividad de los algoritmos, en la posibilidad de aprehender una gran diversidad de actividades de aprendizaje, en el potencial para predecir o anticipar eventos futuros y en la posibilidad de poder dar forma al futuro a través de intervenciones tecnológicas específicas. Por tanto, se requieren nuevos tipos de alfabetización para que los datos personales y escolares se utilicen de manera informada y ética, pues entre otros asuntos, la próxima ola de desarrollos está diseñada para extraer datos mucho más íntimos de los cuerpos del alumnado, de ...

Familias empresarias y grandes empresas familiares en América Latina y España

Familias empresarias y grandes empresas familiares en América Latina y España

Autor: Paloma Fernández Pérez , Andrea Lluch

Número de Páginas: 473

Son numerosos los libros y artículos que analizan las claves del éxito de las familias empresarias y grupos familiares que perduran en el tiempo, si bien la gran mayoría de los negocios registrados como empresas desaparecen en dos generaciones. Aunque esos datos pudieran hacer pensar en el fracaso de este tipo de empresas, a través del estudio de los mayores negocios familiares de ocho países de América Latina y España a lo largo de más de un siglo, esta obra pone de manifiesto que las familias empresarias desaparecen de una empresa y surgen en otras continuando con la actividad a lo largo de décadas en un continuo proceso de adaptación, diversificándose en sectores que presentan mayores expectativas de rentabilidad o seguridad, alterando para ello la denominación jurídica de los negocios, el organigrama o los esquemas de gobierno. Con la metodología propia de la historia empresarial que combina archivos públicos y privados, entrevistas con un enfoque interdisciplinar, y con la participación de veintidós especialistas de once países, este libro revela que en América Latina y España son las familias empresarias, a través de empresas independientes o grupos, la...

Ahorrar para desarrollarse

Ahorrar para desarrollarse

Autor: Eduardo A. Cavallo , Tomás Serebrisky , Verónica Frisancho , Jonathan Karver , Andrew Powell , Diego Margot , Ancor Suárez-alemán , Eduardo Fernández-arias , Matías Marzani , Solange Berstein , Mariano Bosch , María Laura Oliveri , Alejandro Izquierdo , Matías Busso , Andres Fernandez , Cesar Tamayo

Número de Páginas: 395

¿Por qué deberían ahorrar las personas y las economías? La respuesta típica suele centrarse en la necesidad de protegerse ante shocks en el futuro y moderar el consumo durante los tiempos difíciles, en resumen, se ahorra pensando en los proverbiales tiempos difíciles. Este libro aborda esta pregunta desde una perspectiva ligeramente diferente. Si bien ahorrar para superar los tiempos difíciles es importante, lo que realmente importa es ahorrar para prosperar en los tiempos favorables. Las personas deben ahorrar para invertir en su propia salud y educación y en la de sus hijos, para vivir vidas productivas y plenas y acabar sus días en paz y comodidad. Las empresas deben ahorrar para desarrollar empresas productivas que empleen a más trabajadores en mejores empleos y produzcan bienes de calidad para los mercados internos y externos. Los gobiernos deben ahorrar para construir puentes, carreteras y aeropuertos que son el soporte de una economía productiva, para proporcionar servicios de calidad a sus ciudadanos, para asegurar a las personas en edad avanzada una jubilación digna y libre de preocupaciones. En pocas palabras, los países deben ahorrar para los buenos...

Manejo forestal comunitario en América Latina : experiencias, lecciones aprendidas y retos para el futuro

Manejo forestal comunitario en América Latina : experiencias, lecciones aprendidas y retos para el futuro

Autor: Sabogal, C. De Jong, W. Pokorny, B. Louman, B.

Número de Páginas: 294

Antecedentes, realidad y oportunidades del manejo forestal comunitario en América Latina; Capacidades técnicas y desafios del manejo forestal comunitario; Capacidades empresariales para el desarrollo de empresas forestales comunitarias; Capacidades organizativas para el manejo forestal comunitario frente a las demandas y expectativas oficiales; Políticas públicas que afectam el manejo forestal comunitario; Estrategias de acompanãmiento al manejo forestal comunitario; Síntesis y recomendaciones.

Fronteras de la economía del desarrollo

Fronteras de la economía del desarrollo

Autor: Banco Mundial

Número de Páginas: 612

La vieja generación de economistas del desarrollo y la nueva / Gerald M. Meier / - Sobre las metas del desarrollo / Kaushik Basu / - Falacias en la teoría del desarrollo y sus implicaciones de política / Irma Adelman / - Retornando al desafío del desarrollo / Vinod Thomas / - La evolución del pensamiento sobre la pobreza : explorando las interacciones / Ravi Kanbur / - Aspectos del desarrollo : resueltos y pendientes / Shahid Yusuf / - Conflictos distributivos, acción colectiva y economía institucional / Pranab Bardhan / - Perspectivas históricas sobre el desarrollo / Nicholas Crafts / - En busca de lo político : la economía política de la formulación de políticas de desarrollo / Merilee S. Grindle / - La teoría económica moderna y el desarrollo / Karla Hoff.

Gestión del conocimiento en las organizaciones

Gestión del conocimiento en las organizaciones

Autor: Mario Pérez-montoro Gutiérrez

Número de Páginas: 260

Desde el comienzo de la década de los noventa, asistimos a la emergencia y consolidación de una nueva disciplina centrada en el ámbito de las organizaciones: la gestión del conocimiento. Esta disciplina se encarga de diseñar estrategias para aprovechar de forma sistemática el conocimiento involucrado en una organización. El objetivo principal que persigue es que todo el conocimiento que reside en una organización pueda ser utilizado por quien lo necesite para actuar de manera adecuada en cada momento. La aplicación de la gestión del conocimiento al contexto de las empresas hace que estas mejoren su funcionamiento interno y consigan un valor añadido que las distinga frente a sus competidoras y que les permita garantizar, de esta manera, su supervivencia en el actual escenario económico, caracterizado por una dura competitividad y por la globalización de los mercados. En esta obra se aborda, desde sus vertientes conceptual, metodológica y pragmática, esta poliédrica disciplina. Por un lado, se ofrecen, de manera clara, concisa y abundantemente ilustrada con ejemplos, los principales conceptos y los elementos estratégicos involucrados en la gestión del conocimiento...

METODOLOGÍA DE LA INVESTIGACIÓN

METODOLOGÍA DE LA INVESTIGACIÓN

Autor: Roberto Hernandez Sampieri

Número de Páginas: 752

Esta nueva edición de la obra clásica de metodología de la investigación que se ha publicado durante casi 28 años, aborda los tres enfoques actuales de la investigación visualizados como procesos que constituyen rutas alternativas para resolver problemas de investigación, estudiar fenómenos y generar conocimiento y desarrollo tecnológico: el cuantitativo, el cualitativo y el mixto. Se integra el capítulo “Elaboración de la propuesta, proyecto o protocolo de la investigación”

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El emprendedor de éxito

Autor: Rafael Eduardo Alcaraz Rodríguez

Número de Páginas: 0

Esta quinta edición continúa brindando al estudiante y al emprendedor una guía del proceso de planeación, evaluación e implantación de un plan de negocios de forma que se cristalice en una empresa real capaz de alcanzar sus metas. Se trata de una obra esencialmente práctica que le permite al estudiante concretar ideas y plasmarlas de una manera formal y estructurada, por lo que es una herramienta de la actividad diaria del emprendedor. La obra cuenta con un sitio web que contiene un software basado en Excel para que el emprendedor realice paso a paso la implantación de su plan de negocios

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