Ask, Measure, Learn

Using Social Media Analytics to Understand and Influence Customer Behavior

Author: Lutz Finger,Soumitra Dutta

Publisher: "O'Reilly Media, Inc."

ISBN: 1449336833

Category: Business & Economics

Page: 338

View: 919


You can measure practically anything in the age of social media, but if you don’t know what you’re looking for, collecting mountains of data won’t yield a grain of insight. This non-technical guide shows you how to extract significant business value from big data with Ask-Measure-Learn, a system that helps you ask the right questions, measure the right data, and then learn from the results. Authors Lutz Finger and Soumitra Dutta originally devised this system to help governments and NGOs sift through volumes of data. With this book, these two experts provide business managers and analysts with a high-level overview of the Ask-Measure-Learn system, and demonstrate specific ways to apply social media analytics to marketing, sales, public relations, and customer management, using examples and case studies.

Guide to Mobile Data Analytics in Refugee Scenarios

The 'Data for Refugees Challenge' Study

Author: Albert Ali Salah,Alex Pentland,Bruno Lepri,Emmanuel Letouzé

Publisher: Springer Nature

ISBN: 3030125548

Category: Computers

Page: 500

View: 3565


After the start of the Syrian Civil War in 2011–12, increasing numbers of civilians sought refuge in neighboring countries. By May 2017, Turkey had received over 3 million refugees — the largest refugee population in the world. Some lived in government-run camps near the Syrian border, but many have moved to cities looking for work and better living conditions. They faced problems of integration, income, welfare, employment, health, education, language, social tension, and discrimination. In order to develop sound policies to solve these interlinked problems, a good understanding of refugee dynamics isnecessary. This book summarizes the most important findings of the Data for Refugees (D4R) Challenge, which was a non-profit project initiated to improve the conditions of the Syrian refugees in Turkey by providing a database for the scientific community to enable research on urgent problems concerning refugees. The database, based on anonymized mobile call detail records (CDRs) of phone calls and SMS messages of one million Turk Telekom customers, indicates the broad activity and mobility patterns of refugees and citizens in Turkey for the year 1 January to 31 December 2017. Over 100 teams from around the globe applied to take part in the challenge, and 61 teams were granted access to the data. This book describes the challenge, and presents selected and revised project reports on the five major themes: unemployment, health, education, social integration, and safety, respectively. These are complemented by additional invited chapters describing related projects from international governmental organizations, technological infrastructure, as well as ethical aspects. The last chapter includes policy recommendations, based on the lessons learned. The book will serve as a guideline for creating innovative data-centered collaborations between industry, academia, government, and non-profit humanitarian agencies to deal with complex problems in refugee scenarios. It illustrates the possibilities of big data analytics in coping with refugee crises and humanitarian responses, by showcasing innovative approaches drawing on multiple data sources, information visualization, pattern analysis, and statistical analysis.It will also provide researchers and students working with mobility data with an excellent coverage across data science, economics, sociology, urban computing, education, migration studies, and more.

Information Systems Development

Towards a Service Provision Society

Author: George Angelos Papadopoulos,Wita Wojtkowski,Gregory Wojtkowski,Stanislaw Wrycza,Jože Zupancic

Publisher: Springer Science & Business Media

ISBN: 038784810X

Category: Computers

Page: 974

View: 3931


This volume constitutes the published proceedings of the 17th International Conference on Information Systems Development. They present the latest and greatest concepts, approaches, and techniques of systems development - a notoriously transitional field.

R: Recipes for Analysis, Visualization and Machine Learning

Author: Viswa Viswanathan,Shanthi Viswanathan,Atmajitsinh Gohil,Yu-Wei, Chiu (David Chiu)

Publisher: Packt Publishing Ltd

ISBN: 178728879X

Category: Computers

Page: 959

View: 1916


Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning About This Book Proficiently analyze data and apply machine learning techniques Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R Construct a predictive model by using a variety of machine learning packages Who This Book Is For This Learning Path is ideal for those who have been exposed to R, but have not used it extensively yet. It covers the basics of using R and is written for new and intermediate R users interested in learning. This Learning Path also provides in-depth insights into professional techniques for analysis, visualization, and machine learning with R – it will help you increase your R expertise, regardless of your level of experience. What You Will Learn Get data into your R environment and prepare it for analysis Perform exploratory data analyses and generate meaningful visualizations of the data Generate various plots in R using the basic R plotting techniques Create presentations and learn the basics of creating apps in R for your audience Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm Visualize associations in various graph formats and find frequent itemset using the ECLAT algorithm Build, tune, and evaluate predictive models with different machine learning packages Incorporate R and Hadoop to solve machine learning problems on big data In Detail The R language is a powerful, open source, functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics. This Learning Path is chock-full of recipes. Literally! It aims to excite you with awesome projects focused on analysis, visualization, and machine learning. We'll start off with data analysis – this will show you ways to use R to generate professional analysis reports. We'll then move on to visualizing our data – this provides you with all the guidance needed to get comfortable with data visualization with R. Finally, we'll move into the world of machine learning – this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: R Data Analysis Cookbook by Viswa Viswanathan and Shanthi Viswanathan R Data Visualization Cookbook by Atmajitsinh Gohil Machine Learning with R Cookbook by Yu-Wei, Chiu (David Chiu) Style and approach This course creates a smooth learning path that will teach you how to analyze data and create stunning visualizations. The step-by-step instructions provided for each recipe in this comprehensive Learning Path will show you how to create machine learning projects with R.

Practical Business Intelligence with SQL Server 2005

Author: John C. Hancock,Roger Toren

Publisher: Pearson Education

ISBN: 9780321614872

Category: Computers

Page: 432

View: 2592


Design, Build, and Manage High-Value BI Solutions with SQL Server 2005 In this book, two of Microsoft’s leading consultants illustrate how to use SQL Server 2005 Business Intelligence (BI) technologies to solve real-world problems in markets ranging from retail and finance to healthcare. Drawing on extensive personal experience with Microsoft’s strategic customers, John C. Hancock and Roger Toren offer unprecedented insight into BI systems design and step-by-step best practices for implementation, deployment, and management. Hancock and Toren introduce practical BI concepts and terminology and provide a concise primer on the Microsoft BI platform. Next, they turn to the heart of the book–constructing solutions. Each chapter-length case study begins with the customer’s business goals, and then guides you through detailed data modeling. The case studies show how to avoid the pitfalls that derail many BI projects. You’ll translate each model into a working system and learn how to deploy it into production, maintenance, and efficient operation. Whether you’re a decision-maker, architect, developer, or DBA, this book brings together all the knowledge you’ll need to derive maximum business value from any BI project. • Leverage SQL Server 2005 databases, Integration Services, Analysis Services, and Reporting Services • Build data warehouses and extend them to support very large databases • Design effective Analysis Services databases • Ensure the superior data quality your BI system needs • Construct advanced enterprise scorecard applications • Use data mining to segment customers, cross-sell, and increase the value of each transaction • Design real-time BI applications • Get hands-on practice with SQL Server 2005’s BI toolset

Information Security and Ethics: Concepts, Methodologies, Tools, and Applications

Concepts, Methodologies, Tools, and Applications

Author: Nemati, Hamid

Publisher: IGI Global

ISBN: 1599049384

Category: Education

Page: 4478

View: 1351


Presents theories and models associated with information privacy and safeguard practices to help anchor and guide the development of technologies, standards, and best practices. Provides recent, comprehensive coverage of all issues related to information security and ethics, as well as the opportunities, future challenges, and emerging trends related to this subject.

Scientific American

Author: N.A

Publisher: N.A


Category: Science

Page: N.A

View: 9050


Monthly magazine devoted to topics of general scientific interest.

Materials Science, Computer and Information Technology

Author: S.Z. Cai,Q.F. Zhang,X.P. Xu,D.H. Hu,Y.M. Qu

Publisher: Trans Tech Publications Ltd

ISBN: 303826556X

Category: Technology & Engineering

Page: 6160

View: 3731


Selected, peer reviewed papers from the 2014 4th International Conference on Materials Science and Information Technology (MSIT 2014), June 14-15, 2014, Tianjin, China