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| business analytics que es: Business Analytics and Cyber Security Management in Organizations Rajagopal,, Behl, Ramesh, 2016-11-17 Traditional marketing techniques have become outdated by the emergence of the internet, and for companies to survive in the new technological marketplace, they must adopt digital marketing and business analytics practices. Unfortunately, with the benefits of improved storage and flow of information comes the risk of cyber-attack. Business Analytics and Cyber Security Management in Organizations compiles innovative research from international professionals discussing the opportunities and challenges of the new era of online business. Outlining updated discourse for business analytics techniques, strategies for data storage, and encryption in emerging markets, this book is ideal for business professionals, practicing managers, and students of business. |
| business analytics que es: Computational Science and Its Applications – ICCSA 2022 Workshops Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Ana Maria A. C. Rocha, Chiara Garau, 2022-07-25 The eight-volume set LNCS 13375 – 13382 constitutes the proceedings of the 22nd International Conference on Computational Science and Its Applications, ICCSA 2022, which was held in Malaga, Spain during July 4 – 7, 2022. The first two volumes contain the proceedings from ICCSA 2022, which are the 57 full and 24 short papers presented in these books were carefully reviewed and selected from 279 submissions. The other six volumes present the workshop proceedings, containing 285 papers out of 815 submissions. These six volumes includes the proceedings of the following workshops: Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2022); Workshop on Advancements in Applied Machine-learning and Data Analytics (AAMDA 2022); Advances in information Systems and Technologies for Emergency management, risk assessment and mitigation based on the Resilience (ASTER 2022); Advances in Web Based Learning (AWBL 2022); Blockchain and Distributed Ledgers: Technologies and Applications (BDLTA 2022); Bio and Neuro inspired Computing and Applications (BIONCA 2022); Configurational Analysis For Cities (CA Cities 2022); Computational and Applied Mathematics (CAM 2022), Computational and Applied Statistics (CAS 2022); Computational Mathematics, Statistics and Information Management (CMSIM); Computational Optimization and Applications (COA 2022); Computational Astrochemistry (CompAstro 2022); Computational methods for porous geomaterials (CompPor 2022); Computational Approaches for Smart, Conscious Cities (CASCC 2022); Cities, Technologies and Planning (CTP 2022); Digital Sustainability and Circular Economy (DiSCE 2022); Econometrics and Multidimensional Evaluation in Urban Environment (EMEUE 2022); Ethical AI applications for a human-centered cyber society (EthicAI 2022); Future Computing System Technologies and Applications (FiSTA 2022); Geographical Computing and Remote Sensing for Archaeology (GCRSArcheo 2022); Geodesign in Decision Making: meta planning and collaborative design for sustainable and inclusive development (GDM 2022); Geomatics in Agriculture and Forestry: new advances and perspectives (GeoForAgr 2022); Geographical Analysis, Urban Modeling, Spatial Statistics (Geog-An-Mod 2022); Geomatics for Resource Monitoring and Management (GRMM 2022); International Workshop on Information and Knowledge in the Internet of Things (IKIT 2022); 13th International Symposium on Software Quality (ISSQ 2022); Land Use monitoring for Sustanability (LUMS 2022); Machine Learning for Space and Earth Observation Data (MALSEOD 2022); Building multi-dimensional models for assessing complex environmental systems (MES 2022); MOdels and indicators for assessing and measuring the urban settlement deVElopment in the view of ZERO net land take by 2050 (MOVEto0 2022); Modelling Post-Covid cities (MPCC 2022); Ecosystem Services: nature’s contribution to people in practice. Assessment frameworks, models, mapping, and implications (NC2P 2022); New Mobility Choices For Sustainable and Alternative Scenarios (NEMOB 2022); 2nd Workshop on Privacy in the Cloud/Edge/IoT World (PCEIoT 2022); Psycho-Social Analysis of Sustainable Mobility in The Pre- and Post-Pandemic Phase (PSYCHE 2022); Processes, methods and tools towards RESilient cities and cultural heritage prone to SOD and ROD disasters (RES 2022); Scientific Computing Infrastructure (SCI 2022); Socio-Economic and Environmental Models for Land Use Management (SEMLUM 2022); 14th International Symposium on Software Engineering Processes and Applications (SEPA 2022); Ports of the future - smartness and sustainability (SmartPorts 2022); Smart Tourism (SmartTourism 2022); Sustainability Performance Assessment: models, approaches and applications toward interdisciplinary and integrated solutions (SPA 2022); Specifics of smart cities development in Europe (SPEED 2022); Smart and Sustainable Island Communities (SSIC 2022); Theoretical and Computational Chemistryand its Applications (TCCMA 2022); Transport Infrastructures for Smart Cities (TISC 2022); 14th International Workshop on Tools and Techniques in Software Development Process (TTSDP 2022); International Workshop on Urban Form Studies (UForm 2022); Urban Regeneration: Innovative Tools and Evaluation Model (URITEM 2022); International Workshop on Urban Space and Mobilities (USAM 2022); Virtual and Augmented Reality and Applications (VRA 2022); Advanced and Computational Methods for Earth Science Applications (WACM4ES 2022); Advanced Mathematics and Computing Methods in Complex Computational Systems (WAMCM 2022). |
| business analytics que es: Customer analytics Núria Braulio Gil, Josep Curto Díaz, 2015-01-01 Las organizaciones han usado estrategias, como la inteligencia de negocio, para tomar mejores decisiones a partir de los datos. Actualmente, en la era de los datos, nuestros clientes son más inteligentes, están más informados y ya no son tan leales con nuestra marca. Esperan experiencias inolvidables y profundamente personalizadas en cada una de las interacciones con nuestra organización. Como resultado, las organizaciones están obligadas a transformar sus estrategias para conocer mejor las necesidades y preferencias de sus clientes, basándose en una enorme cantidad de datos. |
| business analytics que es: BUSINESS INTELLIGENCE NARAYAN CHANGDER, 2024-01-10 THE BUSINESS INTELLIGENCE MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE BUSINESS INTELLIGENCE MCQ TO EXPAND YOUR BUSINESS INTELLIGENCE KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY. |
| business analytics que es: Inteligencia de negocios y analítica de datos Luis Joyanes Aguilar, 2020-04-30 El término Inteligencia de Negocios (Business Intelligence) con frecuencia también se utiliza el término Inteligencia de Negocio (en singular) fue acuñado por Gartner a mitad de la década de los 90, aunque el concepto tiene su origen en el comienzo de los sistemas de información gerenciales (MIS, Management Information System) de los años 70, cuando comenzaba la automatización de las tareas en las empresas. Hoy en día los sistemas de información son la espina dorsal de las empresas y su soporte diario y el eje sobre el que se vertebran los sistemas de Inteligencia de Negocios. El libro hace una introducción teórico-práctica a la Inteligencia de Negocios y a la Analítica de Negocios, extendida a la Analítica de Datos y sus diferentes categorías, así como a la Analítica de Big Data, dada la expansión de esta tendencia tecnológica en todo tipo de organizaciones y empresas, además de en los mundos académicos y de investigación. Se da respuesta a las preguntas más utilizadas en la gestión empresarial y en los campos de la educación y de la investigación. Se describe el panorama general del empleo y tendencias de esta tecnología con estadísticas e información muy actualizada. CONOZCA Inteligencia de negocios Analítica de negocios Empresas líderes en el mundo Productos disponibles Tendencias actuales APRENDA A buscar y elegir las mejores soluciones para su empresa. REALICE Comparaciones entre diferentes productos y estrategias para decidir lo mejor para su empresa. |
| business analytics que es: Strengthening Industrial Cybersecurity to Protect Business Intelligence Saeed, Saqib, Azizi, Neda, Tahir, Shahzaib, Ahmad, Munir, Almuhaideb, Abdullah M., 2024-02-14 In the digital transformation era, integrating business intelligence and data analytics has become critical for the growth and sustainability of industrial organizations. However, with this technological evolution comes the pressing need for robust cybersecurity measures to safeguard valuable business intelligence from security threats. Strengthening Industrial Cybersecurity to Protect Business Intelligence delves into the theoretical foundations and empirical studies surrounding the intersection of business intelligence and cybersecurity within various industrial domains. This book addresses the importance of cybersecurity controls in mitigating financial losses and reputational damage caused by cyber-attacks. The content spans a spectrum of topics, including advances in business intelligence, the role of artificial intelligence in various business applications, and the integration of intelligent systems across industry 5.0. Ideal for academics in information systems, cybersecurity, and organizational science, as well as government officials and organizations, this book serves as a vital resource for understanding the intricate relationship between business intelligence and cybersecurity. It is equally beneficial for students seeking insights into the security implications of digital transformation processes for achieving business continuity. |
| business analytics que es: Big Data at Work Thomas Davenport, 2014-02-04 Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource. |
| business analytics que es: Behind Every Good Decision Piyanka Jain, Puneet Sharma, 2014-11-05 There is a misconception in business that the only data that matters is BIG data, and that elaborate tools and data scientists are required to extract any practical information. However, nothing could be further from the truth. If you feel that you can’t understand how to read, let alone implement, these complex software programs that crunch the data and spit out more data, that will no longer be a problem! Authors and analytics experts Piyanka Jain and Puneet Sharma demystify the process of business analytics and demonstrate how professionals at any level can take the information at their disposal and in only five simple steps--using only Excel as a tool--make the decision necessary to increase revenue, decrease costs, improve product, or whatever else is being asked of them at that time. In Behind Every Good Decision, you will learn how to: Clarify the business question Lay out a hypothesis-driven plan Pull relevant data Convert it to insights Make decisions that make an impact Packed with examples and exercises, this refreshingly accessible book explains the four fundamental analytic techniques that can help solve a surprising 80 percent of all business problems. It doesn’t take a numbers person to know that is a formula you need! |
| business analytics que es: Big data Patricia Fernández, Eva (coord.), 2017-02-27 El big data, entendido como la gestión y el almacenamiento masivo de datos, es una tendencia por explotar a día de hoy. La industria audiovisual, consciente de ello, empieza a orientar estrategias de negocio con ideas de personalización de contenidos, segmentación de perfiles o predicción de tendencias. Comprender todas las posibilidades que nos ofrece el big data supone entender las dinámicas internas del negocio, así como las fuentes de datos de las que podemos extraer información y la interacción que podemos realizar con ellas. Y también nos permite formular mejores preguntas y tomar decisiones acertadas. Este libro ofrece un recorrido por el proceso de gestión de datos en la empresa, con introducción de explicaciones técnicas y especial atención a la toma de decisiones del business intelligence. |
| business analytics que es: Big Data Amandeep Singh, Rohit Bansal, Sandhir Sharma, 2022-09-06 Imagine being able to target an audience made up of highly qualified and purchase-ready prospects and easily building them into loyal clients by anticipating their needs and hence offering true value. This is the power of big data for digital marketing. Big Data: A Roadmap for Successful Digital Marketing explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, mobile marketing, search engine optimization and customer relationship management. As the marketing world moves into a data-focused future, the success of marketing efforts will be wholly based on attention to detail in data analysis and effectively acting on insights in order to implement changes that will deliver improved results. This book will help professionals succeed in their digital marketing efforts as well as provide food for thought for students and researchers in the fields of digital marketing, customer behavior and big data analytics. |
| business analytics que es: INFORMATION TECHNOLOGY NARAYAN CHANGDER, 2022-12-24 THE INFORMATION TECHNOLOGY MCQ (MULTIPLE CHOICE QUESTIONS) SERVES AS A VALUABLE RESOURCE FOR INDIVIDUALS AIMING TO DEEPEN THEIR UNDERSTANDING OF VARIOUS COMPETITIVE EXAMS, CLASS TESTS, QUIZ COMPETITIONS, AND SIMILAR ASSESSMENTS. WITH ITS EXTENSIVE COLLECTION OF MCQS, THIS BOOK EMPOWERS YOU TO ASSESS YOUR GRASP OF THE SUBJECT MATTER AND YOUR PROFICIENCY LEVEL. BY ENGAGING WITH THESE MULTIPLE-CHOICE QUESTIONS, YOU CAN IMPROVE YOUR KNOWLEDGE OF THE SUBJECT, IDENTIFY AREAS FOR IMPROVEMENT, AND LAY A SOLID FOUNDATION. DIVE INTO THE INFORMATION TECHNOLOGY MCQ TO EXPAND YOUR INFORMATION TECHNOLOGY KNOWLEDGE AND EXCEL IN QUIZ COMPETITIONS, ACADEMIC STUDIES, OR PROFESSIONAL ENDEAVORS. THE ANSWERS TO THE QUESTIONS ARE PROVIDED AT THE END OF EACH PAGE, MAKING IT EASY FOR PARTICIPANTS TO VERIFY THEIR ANSWERS AND PREPARE EFFECTIVELY. |
| business analytics que es: Information Systems and Technologies to Support Learning Álvaro Rocha, Mohammed Serrhini, 2018-10-24 This book features a selection of articles from the second edition of the conference Europe Middle East & North Africa Information Systems and Technologies to Support Learning 2018 (EMENA-ISTL'18), held in Fez, Morocco between 25th and 27th October 2018. EMENA-ISTL’18 was a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, professional experiences and challenges in information systems & technologies to support learning. The main topics covered are: A) information systems technologies to support education; B) education in science, technology, engineering and Mathematics; C) emerging technologies in education learning innovation in the digital age; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer communications and networks; G) IOT, smart cities and people, wireless, sensor and ad-hoc networks; H) organizational models and information systems and technologies; I) human–computer Interaction; J) computers & security, ethics and data-forensic; K) health informatics, and medical informatics security; l) information and knowledge management; m) big data analytics and applications, intelligent data systems, and machine learning; n) artificial intelligence, high performance computing; o) mobile, embedded and ubiquitous systems; p) language and image processing, computer graphics and vision; and q) the interdisciplinary field of fuzzy logic and data mining. |
| business analytics que es: Competing on Analytics Thomas H. Davenport, Jeanne G. Harris, 2007-03-06 You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics. |
| business analytics que es: R for Business Analytics A Ohri, 2012-09-14 This book examines common tasks performed by business analysts and helps the reader navigate the wealth of information in R and its 4000 packages to create useful analytics applications. Includes interviews with corporate users of R, and easy-to-use examples. |
| business analytics que es: Knowledge Management in Organizations Lorna Uden, Darcy Fuenzaliza Oshee, I-Hsien Ting, Dario Liberona, 2014-08-25 This book contains the refereed proceedings of the 9th International Conference on Knowledge Management in Organizations (KMO) held in Santiago, Chile, during September 2014. The theme of the conference is Knowledge Management to Improve Innovation and Competitiveness through Big Data. The KMO conference brings together researchers and developers from industry and academia to discuss and research how knowledge management using big data can improve innovation and competitiveness. The 39 contributions accepted for KMO 2014 were selected from 89 submissions and are organized in sections on: big data and knowledge management, knowledge management practice and case studies, information technology and knowledge management, knowledge management and social networks, knowledge management in organizations, and knowledge transfer, sharing and creation. |
| business analytics que es: Business Analytics Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann, 2020-03-10 Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts. |
| business analytics que es: Inteligencia de negocios en las Pymes Alexander Fernando Haro Sarango , Mirian Noemí Carranza Guerrero , Juan Carlos Pico Lescano , Silvia Guadalupe Naranjo Lozada , Rosa Marcela Nuela Sevilla , 2023-04-21 |
| business analytics que es: Ciencia de los datos con Python Francisco J. Toro López, 2022-05-23 Esta obra demuestra una metodología de desarrollo de investigaciones, proyectos e iniciativas aplicadas en muchas áreas del conocimiento, que en diversas instancias se fundamentan en base de datos e información proveniente de fuentes internas y externas en el marco de objetivos de las sociedades abiertas al cambio. Se repasa el lenguaje de programación Python muy utilizado en estos casos. La estructura está compuesta por funciones, algoritmos y metodologías hechos con Python y otras herramientas computacionales, con varias técnicas de corte administrativo y funcional. La intención es facilitar los procesos de análisis en diversos proyectos e investigaciones de acuerdo a un plan estratégico. Los ejercicios disponibles están en un formato de presentación sencilla; son de fácil desarrollo y seguimiento. Dirigido a aquellas personas que examinan, prueban, ensayan y realizan funciones orientadas a dar respuestas a diversas inquietudes comerciales, administrativas y científicas, analizando múltiples datos y forjando la planeación y desarrollo de proyectos, con un enfoque que busque siempre la efectividad al emplear funciones y algoritmos diseñados e implementados para tales casos. |
| business analytics que es: Nuevos modelos de formación para empleados públicos Jesús Martínez Marín, 2016-11-08 |
| business analytics que es: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry Chkoniya, Valentina, 2021-06-25 The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students. |
| business analytics que es: Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications Rahman El Sheikh, Asim Abdel, 2011-09-30 Business intelligence applications are of vital importance as they help organizations manage, develop, and communicate intangible assets such as information and knowledge. Organizations that have undertaken business intelligence initiatives have benefited from increases in revenue, as well as significant cost savings.Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications highlights the marriage between business intelligence and knowledge management through the use of agile methodologies. Through its fifteen chapters, this book offers perspectives on the integration between process modeling, agile methodologies, business intelligence, knowledge management, and strategic management. |
| business analytics que es: Organizaciones orientadas al dato Josep Curto Díaz, 2017-04-15 Para competir en el contexto actual, las organizaciones necesitan reconocer que el dato se ha convertido en uno de sus activos más relevantes. El dato permite comprender en profundidad todos los aspectos de la organización: clientes, proveedores, productos, empleados y procesos. Pero no solo se trata de ser capaces de capturar, almacenar y analizar datos, sino de transformar la forma en la que operan y se gestionan las organizaciones. Este es el gran reto que afrontan todas las empresas en su transformación digital: pasar de ser empresas e instituciones que se fundamentan en la intuición a organizaciones orientadas al dato. Este libro busca capacitar a profesionales, en el contexto del análisis de la información, con el objetivo de desarrollar estrategias de transformación y orientación hacia el dato en el seno de su propia organización. |
| business analytics que es: Effective Strategies for Communicating Insights in Business Jackson, Ross, Reboulet, Amanda, 2021-05-07 Because insights can be viewed as fragments of knowledge collected through experience and education, they are not easily communicated to organizational leaders. Successful organizational leaders make use of different strategies to effectively communicate insights at various levels and types of organizations, from both academic and perspectives. Synthesizing creative, critical, and existential insights across analytics, communication, and management provides an intersection to address a need for an edited collection of original research in this area. Effective Strategies for Communicating Insights in Business is an essential reference book that provides relevant theoretical frameworks, critical and creative insights, and the latest empirical research findings in communication approaches within organizations. Covering topics that include knowledge transfer, data visualization, and decision making, the book seeks to inspire the understanding of effective strategies for improving organizational performance through improved utilization of insights in different types of work communities, environments, and contexts. The target audience of this book is composed of executives and managers, as well as professionals, academicians, students, and researchers working in the field of analytics, business, communication, and knowledge management across various disciplines, for example, decision science, organizational behavior, political science, communication sciences, administrative sciences, and management. |
| business analytics que es: Data Strategy Bernard Marr, 2017-04-03 BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category Less than 0.5 per cent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from Big Data, analytics and the Internet of Things (IoT). |
| business analytics que es: Negocios Digitales Daniel Salazar, 2020-06-20 8 de cada 10 negocios en México fracasan a los 2 años. Negocios digitales recompila todo el aprendizaje adquirido platicando con más de 1,000 emprendedores, empresarios, directivos y ejecutivos sobre cómo empiezan proyectos o negocios. Todo desde encontrar un motivo del negocio, cómo hacer tu marca, ventas, hacer publicidad, herramientas digitales y algunos consejos generales. Es para todos los quieran emprender o que ya tengan un negocio y quieran evolucionar en medios digitales. |
| business analytics que es: Big Data and Business Analytics Jay Liebowitz, 2013-04-23 The chapters in this volume offer useful case studies, technical roadmaps, lessons learned, and a few prescriptions to ‘do this, avoid that.’ —From the Foreword by Joe LaCugna, Ph.D., Enterprise Analytics and Business Intelligence, Starbucks Coffee Company With the growing barrage of big data, it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on equity. Big Data and Business Analytics helps you quickly grasp the trends and techniques of big data and business analytics to make your organization more competitive. Packed with case studies, this book assembles insights from some of the leading experts and organizations worldwide. Spanning industry, government, not-for-profit organizations, and academia, they share valuable perspectives on big data domains such as cybersecurity, marketing, emergency management, healthcare, finance, and transportation. Understand the trends, potential, and challenges associated with big data and business analytics Get an overview of machine learning, advanced statistical techniques, and other predictive analytics that can help you solve big data issues Learn from VPs of Big Data/Insights & Analytics via case studies of Fortune 100 companies, government agencies, universities, and not-for-profits Big data problems are complex. This book shows you how to go from being data-rich to insight-rich, improving your decision making and creating competitive advantage. Author Jay Liebowitz recently had an article published in The World Financial Review. www.worldfinancialreview.com/?p=1904 |
| business analytics que es: Entrepreneurship Ladislav Mura, 2018-01-24 In context of entrepreneurship, this book was motivated by a desire of a team of well-known authors. The book consists of 23 closely related thematic contributions, which fall into 4 separate sections: Interactions between Economy and Entrepreneurship; Innovation in Entrepreneurship and Economic Growth; Current Trends in Family Business, Social Entrepreneurship and Responsibility; and The Role of Human Resource Management, Education and Gender in Entrepreneurship. Authors-contributors have submitted the results of their recent research and presented essential findings about the decision-making process of entrepreneurs in order to maintain their businesses competitive. The reader can get an insight into the selection of the best scientific contributions that have been reviewed and ready for debate. Our piece of work, Entrepreneurship: Development Tendencies and Empirical Approach, has interdisciplinary features. This work by authors from different countries - Finland, Germany, Czech Republic, Slovakia, Italy, Spain, Turkey and Malaysia - is dedicated to readers providing up-to-date research data and background for further research as well as implementation techniques in business practice. |
| business analytics que es: Competing on analytics Thomas H. Davenport, Jeanne G. Harris, 2012-11-13 En un mundo donde las bases tradicionales de la ventaja competitiva se han evaporado en gran medida, ¿cómo destacar la actuación de su empresa de la del resto? Utilice la inteligencia analítica para tomar mejores decisiones y sacar el máximo valor de sus procesos empresariales. En Competing on Analytics: Inteligencia competitiva para ganar, Thomas H. Davenport y Jeanne G. Harris sostienen que la frontera hasta donde se utilizan los datos ha cambiado de forma espectacular. Las compañías líderes están haciendo algo más que simplemente recoger y almacenar información en grandes cantidades. Están construyendo sus estrategias competitivas alrededor de nuevos conocimientos basados en datos que a su vez están generando unos resultados de negocio impresionantes. ¿Su arma secreta? La inteligencia analítica: análisis cuantitativos y cualitativos sofisticados y modelos de predicción respaldados por expertos en el manejo de los datos y una potente tecnología de la información. ¿Por qué la competitividad basada en la inteligencia analítica? En una época en que las empresas de muchos sectores de actividad ofrecen productos similares y emplean tecnologías parecidas, los procesos de gestión de negocio distintivos se cuentan entre los últimos aspectos diferenciales que aún siguen vigentes. Muchas bases previas de competitividad –como la ventaja geográfica o una normativa protectora– han sido erosionados por la globalización. Las tecnologías propias y exclusivas se copian con rapidez, y las innovaciones importantes en productos o servicios son cada vez más difíciles de lograr. |
| business analytics que es: A Guide to the Business Analysis Body of Knowledger International Institute of Business Analysis, IIBA, 2009 The BABOK Guide contains a description of generally accepted practices in the field of business analysis. Recognised around the world as a key tool for the practice of business analysis and has become a widely-accepted standard for the profession. |
| business analytics que es: Industria 4.0 Luis Joyanes, 2017-11-30 El término Industria 4.0 se acuñó en Alemania en el año 2011 en la Feria tecnológica de Hannover-Messe, si bien fue en la edición de dicha feria en 2013 cuando se presentó la Iniciativa oficial del Gobierno de Alemania. El documento fundacional de Industria 4.0 y de la plataforma asociada (Platform Industrie 4.0) denominado Recommendations for implementig the strategic initiative Industrie 4.0 fue redactado por Acatech (Academia Nacional de Ciencia e Ingeniería de Alemania) y presentado en abril de 2013. Contó con la colaboración del DFKI (Centro de Investigación alemán para la Inteligencia Artificial) así como el apoyo de la industria y grandes empresas alemanas. |
| business analytics que es: From Analyst to Leader Lori Lindbergh, Lori Lindbergh PMP, Richard VanderHorst, Kathleen B. Hass, Richard VanderHorst PMP, Kathleen B. Hass PMP, Kimi Ziemski, Kimi Ziemski PMP, 2007-12 Become equipped with the principles, knowledge, practices, and tools need to assume a leadership role in an organization. From Analyst to Leader: Elevating the Role of the Business Analyst uncovers the unique challenges for the business analyst to transition from a support role to a central leader serving as change agent, visionary, and credible leader. |
| business analytics que es: Digital Work and Personal Data Protection Lourdes Mella Méndez, Nuno Cerejeira Namora, Duarte Abrunhosa e Sousa, 2018-12-21 This book gathers contributions related to the most pressing problems and challenges that new information and communications technologies (ICT) and digital platforms introduce into the labour market, and the impact they have on the way that people work, their rights and even their health and dignity. In addition, there are also chapters studying personal data protection, which is currently a topic of maximum interest due to the New European Regulation about it. The contributors here are drawn from around the world, with several countries represented, such as Portugal, Spain, Italy, Brazil, Australia and Venezuela. The book will appeal lawyers, legal and human resources experts, economists, judges, academics and staff from trade unions, and employers’ representation. The volume features insights and contributions in different languages, with chapters in Spanish (12), English (6) and Portuguese (4). |
| business analytics que es: Leadership Analytics Juan Pablo Ventosa, 2024-08-22 «El libro es un positivo alineamiento entre el expertise de HHRR con las necesidades del CEO, la operación y el negocio». Raül Giménez Chavarría CEO Latin America at The Adecco Group «Es una lectura obligada para los miembros del C-Suite que busquen aspirar a tener una organización de clase mundial». José Antonio Quesada Presidente del Colegio Nacional de Consejeros Independientes «Una extraordinaria hoja de ruta para conseguir resultados en la gestión de personas y en la calidad de liderazgo». Pilar Jericó Premio Nacional de Management. Presidenta de beUp, escritora y conferenciante «Con Leadership Analytics. Hacia un Liderazgo consciente, Juan Pablo Ventosa hace una contribución importante a la discusión y, lo que es más importante, proporciona una herramienta innovadora para que los líderes dirijan su pensamiento y acción. La combinación de Cultura, Calidad y Análisis es extremadamente poderosa y con el enfoque de sistema tiene todos los ingredientes para llevar a los Líderes al siguiente nivel». Bettina Schaller Adecco SVP Head Group Public Affairs President of the World Employment Confederation «Leadership Analytics. Hacia un Liderazgo consciente es una lectura imprescindible para aquellos que buscan liderar el cambio y construir culturas organizacionales sólidas y sostenibles». Horacio Arredondo Decano EGADE Business School «Una lectura indispensable que nos comparte experiencias reales y que sustentan algo único como es el “Sistema de Gestión de la Calidad del Liderazgo”». Mauricio Reynoso DG de AMEDIRH Asociación Mexicana de Dirección de Recursos Humanos «Un completo modelo de análisis para medir el impacto de los líderes de nuestras organizaciones. Ofrece una visión “moderna” de un líder consciente que busca reconciliar los resultados empresariales con el impacto positivo hacia dentro de la organización». Ignacio de la Vega Professor of Business Strategy and Entrepreneurial Management and Associate Provost for Academic Affairs, Faculty and Internationalization at Tecnológico de Monterrey «Este libro presenta un sistema de gestión de la calidad del liderazgo que nos ayuda, de forma extraordinaria, a su implantación y ajuste a la estrategia de la compañía». Antonio Ortega, Ph.D. Autor. Exdirector General Grupo BBVA. Ex Consejero Ejecutivo de BANKIA «Se aborda la complejidad de medir la Calidad del Liderazgo de una forma metodológica y clara». Miguel Rosa CEO MAPFRE RE |
| business analytics que es: Information Management and Big Data Juan Antonio Lossio-Ventura, Jorge Valverde-Rebaza, Eduardo Díaz, Denisse Muñante, Carlos Gavidia-Calderon, Alan Demétrius Baria Valejo, Hugo Alatrista-Salas, 2022-04-21 This book constitutes the refereed proceedings of the 8th International Conference on Information Management and Big Data, SIMBig 2021, held as a virtual event in December 2021. The 25 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining and applications; deep learning and applications; data-driven software engineering; health, NLP, and social media; image processing, machine learning, and semantic web. |
| business analytics que es: OECD Digital Government Studies Digital Government in Mexico Sustainable and Inclusive Transformation OECD, 2020-01-06 Digital Government in Mexico discusses and assesses the efforts of the Mexican Government to build a stronger system of digital government under the Coordination of the National Digital Strategy of the Office of the President. It presents the key policy actions, achievements and co-ordination challenges, and looks at how policy objectives are implemented. |
| business analytics que es: Socio-Economic Approach to Management Treatise Henri Savall, Veronique Zardet, 2023-05-01 The result of half a century of research and experimentation in economics and management, this Treatise is intended for management practitioners. Socio-economic management (SEAM) makes the demands of humanism in professional life and sustainable economic prosperity compatible. It is illustrated with numerous cases from 2,150 companies and organizations from a wide variety of sectors and presents observed and measured results. Most of these chapters are written jointly by managers or executives of companies and organizations, and scholars or consultants involved in the pilot actions. This book is the work of 193 authors, from 16 countries and 4 continents, practitioners or academics in management sciences and management. This reflects the diversity of national and sectoral contexts of SEAM applications. Some chapters situate this concept in relation to the major currents of current thought. Each chapter is preceded by abstracts in French, English and Spanish. The prefaces, signed by Herman Aguinis and Rene Ricol, show the scope of socio-economic theory and management beyond the borders of the company. The book illustrates the international influence (48 countries) of the innovative and robust methods created and developed by the ISEOR team. Socio-economic theory constitutes a breakthrough innovation, both in terms of its conceptual contribution and the practical methods and tools of its applications. This holistic approach touches on the different functions of the company and its multiple problems. It provides a structured change management method, focused on stimulating Human Potential and on self-financing the development of the company or organization, through the periodic recycling of hidden costs. |
| business analytics que es: Business Analytics for Managers Gert Laursen, Jesper Thorlund, 2010-07-13 While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results Deliver the right decision support to the right people at the right time Filled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions. Take a look inside and find: Proven guidance on developing an information strategy Tips for supporting your company's ability to innovate in the future by using analytics Practical insights for planning and implementing BA How to use information as a strategic asset Why BA is the next stepping-stone for companies in the information age today Discussion on BA's ever-increasing role Improve your business's decision making. Align your business processes with your business's objectives. Drive your company into a prosperous future. Taking BA from buzzword to enormous value-maker, Business Analytics for Managers helps you do it all with workable solutions that will add tremendous value to your business. |
| business analytics que es: Nuevas tendencias en comunicación estratégica Teresa Pintado Blanco, Joaquín Sánchez Herrera, 2014-11-06 De todas las áreas implicadas en la comercialización de productos y servicios, la comunicación es la que está experimentando los cambios más rápidos y drásticos. La fragmentación de medios y soportes de comunicación, la aparición de nuevas tecnologías y los cambios en el comportamiento del consumidor hacen que sea necesario actualizar su contexto, y exponer las tendencias más importantes. Realizar un seguimiento de esos cambios, e intentar comprender su utilidad y conveniencia, se convierte en algo crucial para agencias, anunciantes, e incluso consumidores, más activos que nunca en sus “diálogos” con las marcas. Son muchas las novedades que el lector encontrará en esta edición revisada y actualizada, pero por encima de todo, se ha hecho especial hincapié en la adaptación de los casos prácticos, las cifras asociadas y en la inclusión de tres nuevos capítulos dedicados al Neuromarketing, al Big Data, y a la Comunicación y Marketing de Contenidos. Estas nuevas corrientes probablemente marcarán el futuro de la gestión de la comunicación comercial en las organizaciones. El manual supone un compendio muy completo, didáctico y riguroso sobre las nuevas tendencias en comunicación comercial. Desde esta perspectiva, se analiza no solo la comunicación online, sino también el Buzz Marketing, el Advergaming, la Comunicación Sensorial y muchas otras tendencias, puestas en práctica por empresas como Apple, BMW, Coca Cola, Adidas o Starbucks. En definitiva, un completo estudio de cómo evoluciona la comunicación y qué es lo que podemos esperar en el futuro del área más compleja y apasionante del marketing. Índice Comunicación 360º.- Técnicas publicitarias online y presencia web.- Comunicación social en la web.- Comunicación viral y buzz marketing.- Técnicas de comunicación en dispositivos móviles.- Nuevas tendencias en comunicación interna.- Comunicación y marketing de contenidos.- La importancia del advergaming como herramienta publicitaria.- Comunicación integrada en el entorno: el Street Marketing y Ambient Marketing.- Gestión de la comunicación experiencial y sensorial.- Neuromarketing y comunicación.- Big data y comunicación.- Tendencias emergentes en comunicación. |
| business analytics que es: Los mercados financieros ante la disrupción de las nuevas tecnologías digitales Luis Fernando López Roca , Mauricio Baquero Herrera , Jorge Armando Corredor Higuera, 2022-01-11 Bajo el nombre de Los mercados financieros ante la disrupción de las nuevas tecnologías digitales, la Universidad Externado de Colombia y el Departamento de Derecho Financiero y Bursátil de la misma casa de estudios presentan ante la comunidad académica una obra sin par en el concierto nacional, que recoge casi una veintena de trabajos que tienen como común denominador ocuparse de diversos tópicos tradicionales de los mercados financieros, mirados ahora a partir del prisma de las nuevas tecnologías digitales. De esta manera el libro que usted, amigo lector, tiene en sus manos, lo paseará desde las interesantes facetas del asesoramiento financiero, ahora desde la visión del llamado robo advice, hasta lo relacionado con la naturaleza jurídica de los criptoactivos y la función de la blockchain en la compensación y liquidación de los mercado de valores, pasando por las características y problemáticas de los denominados neobancos y de los eco-sistemas de pago digitales, para solo mencionar algunos de los principales temas tratados. Esta breve descripción del enfoque y de los temas que fueron tratados por los distintos autores a lo largo de la obra muestran su riqueza y su valor doctrina-rio para los distintos interesados en el ecosistema FinTech. El abanico de temas tratados en el presente libro pretende dar al lector un material de con-sulta que le permita comprender de manera reflexiva y profunda las distintas manifestaciones de esta revolución disruptiva en los mercados financieros, para luego aplicar las lecciones en un ámbito académico o profesional. |
| business analytics que es: Neuroinsights Pepe Martínez Rodríguez, 2021-09-01 Neuroinsights nos adentra de una forma clara, amena y cercana, en la interrelación entre las marcas, la neurociencia y el mundo que nos rodea. Se divide en los siguientes bloques: • las marcas y la mente del consumidor, • situación actual del neuromarketing, • neurociencia aplicada a las marcas, • el mundo, la mente y las marcas. Pepe Martínez nos ofrece una visión práctica presentando la realidad del neuromarketing como herramienta de consultoría para impulsar el crecimiento de las empresas, sean del tamaño que sean. En este contexto, recurre a múltiples ejemplos de la aplicación diaria de esta disciplina al desarrollo de las marcas y se incluyen diez investigaciones reales: Carrefour, Fedex, Light Blue (Dolce & Gabbana), Euphoria (Calvin Klein), Santander-Ferrari, Ruavieja, Estrella Damm, Amazon, Mercadona y Netflix. «Pepe Martínez nos muestra cómo la neurociencia nos ayuda a entender la mente del consumidor y a medir la fuerza emocional y el alcance de los diferentes estímulos de marketing» Cécile Conaré, consultora «Mientras que los humanos estamos extraordinariamente orgullosos de nuestra capacidad racional, nuestros perezosos cerebros recurren a menudo a las emociones inconscientes, a los instintos y a los impulsos irracionales » Nigel Hollis, autor de The Global Brand «El neuromarketing puede ayudar a las marcas y a los negocios a ser más competitivos» Alexia de la Morena, consultora «Este libro supone una importante aportación a la cultura del marketing del bueno» Enrique Larumbe, presidente de Eurogap «La neurociencia nos ayuda a entender la enorme cantidad de decisiones diarias que llevamos a cabo de forma inconsciente» Stanislaw Mencwel, managing director CPC |
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