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Perspectives on Intellectual Capital bridges the disciplinary gaps and facilitates knowledge transfer across disciplines, featuring views on intellectual capital from the fields of accounting, strategy, marketing, human resource management, operations management, information systems, and economics. It also offers interdisciplinary views on intellectual capital from the perspectives of public policy, knowledge management and epistemology. By analyzing the various perspectives, Editor Bernard Marr is able to present a truly comprehensive understanding of what intellectual capital is, including

Intellectual capital. --- Capital intellectuel --- kennismanagement --- bedrijven, management --- bedrijfsstrategie --- Human capital. --- Human assets --- Human beings --- Human resources --- Capital, Intellectual --- Economic value --- Capital --- Labor supply --- Human capital --- Knowledge management --- Knowledge workers --- Intellectual capital

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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.

Business information services. --- business data processing --- economic intelligence --- decision-making --- big data --- data collection --- Internet of Things --- Business --- Business enterprises --- Information services --- Internet de las cosas --- esineiden internet --- asjade internet --- Интернет ствари --- интернет на нещата --- internet rzeczy --- διαδίκτυο των πραγμάτων --- lietu internets --- Internet das Coisas --- Internet tal-Oġġetti --- internet věcí --- Интернет на нештата --- dolgok internete --- Internet der Dinge --- sakernas internet --- internet der dingen --- Internet des objets --- tingenes internet --- internet vecí --- daiktų internetas --- Idirlíon na nEarraí --- internetul obiectelor --- internet stvari --- Internet delle cose --- ΔτΠ --- Internet dos Objetos --- internet af ting --- Internet degli oggetti --- Idirlíon na Rudaí Nithiúla --- интернет на предметите --- asioiden internet --- IdC --- tárgyak internete --- IdO --- internet przedmiotów --- tavaroiden internet --- ИН --- IoT --- collecte de données --- ġbir ta' dejta --- colectarea datelor --- sběr dat --- zbiranje podatkov --- adatgyűjtés --- прикупљање података --- duomenų rinkimas --- recogida de datos --- recolha de dados --- prikupljanje podataka --- прибирање податоци --- grumbullim i të dhënave --- bailiú sonraí --- tietojen keruu --- verzamelen van gegevens --- raccolta dei dati --- gromadzenie danych --- datainsamling --- andmekogumine --- събиране на данни --- dataindsamling --- datu vākšana --- zber údajov --- συλλογή δεδομένων --- Datenerhebung --- tietojen koostaminen --- nxjerrje të dhënash --- chamada de dados --- očevidnik --- përpilim të dhënash --- andmete kogumine --- data retrieval --- συγκέντρωση δεδομένων --- shromažďování informací --- compilarea datelor --- ανάκτηση δεδομένων --- raggruppamento dei dati --- dataopsamling --- adatok kinyerése --- compiling data --- shromažďování dat --- adatok visszanyerése --- Datensammlung --- spájanie údajov --- andmeotsing --- sběr informací --- duomenų paieška --- reunião de dados --- rappel des données --- ricerca dei dati --- regăsirea informației --- kompiliuotieji duomenys --- datu izgūšana --- vyhľadávanie údajov --- datu apkopošana --- oproepen van gegevens --- hromadění dat --- macrodatos --- lielie dati --- data velkého objemu --- големи податоци --- големи информационни масиви --- duże zbiory danych --- mégadonnées --- mórshonraí --- megadados --- Big Data --- velepodatki --- μεγαδεδομένα --- volume mari de date --- veľké dáta --- velika količina podataka --- didieji duomenys --- stordata --- iso data --- suurandmed --- nagy adathalmazok --- grandes dados --- technologia dużych zbiorów danych --- données de masse --- veľký súbor dát --- análisis de macrodatos --- veliki skup podataka --- grote datasets --- technológia veľkých dát --- big-databronnen --- голяма съвкупност от данни --- tömeges adatok --- tecnologia dos megadados --- stort datasæt --- velkoobjemová data --- données massives --- analiza volumelor mari de date --- set mare de date --- date în masă --- massadatateknologia --- duży zbiór danych --- bigdatabronnen --- nagy adathalmazok elemzése --- analyse de mégadonnées --- množični podatki --- analitika tal-big data --- hromadné dáta --- μαζικά δεδομένα --- datos masivos --- grande insieme di dati --- τεχνολογία μεγαδεδομένων --- big data-teknologi --- grandes volumes de dados --- big data technológia --- технология на големите информационни масиви --- grande conjunto de dados --- massadata --- Massendatenanalyse --- masveida dati --- dejta bil-massa --- large data set --- голям масив от данни --- big-data-analyse --- tehnologija za velike količine podataka --- suurandmete haldamine --- ανάλυση μεγαδεδομένων --- didžiųjų duomenų technologija --- Massendaten --- teknoloġija tal-big data --- analytika veľkých dát --- massedata --- tecnologia big data --- analisi di big data --- анализиране на големи информационни масиви --- Big-Data-Technologie --- lielo datu tehnoloģija --- stordataanalys --- μεγάλο σύνολο δεδομένων --- analitika velepodatkov --- tehnologie de lucru cu volume mari de date --- massadatan analysointi --- golema količina podataka --- sett kbir ta’ dejta --- didžiųjų duomenų analitika --- massadata-analyysi --- óriási méretű adathalmazok --- bigdata-analyse --- dati di massa --- grand ensemble de données --- tehnologija velepodatkov --- velká data --- big data-analyse --- suuret tietoaineistot --- stordatasystem --- stordatateknik --- masiniai duomenys --- análise de megadados --- analiza velikih količina podataka --- olltiomsú sonraí --- amplio conjunto de datos --- tecnología de macrodatos --- hromadná data --- liela datu kopa --- big data analytics --- große Datenbasis --- big data technology --- suurandmete tehnoloogia --- technologie dat velkého objemu --- lielo datu analītika --- nagy adattömegek --- množica velepodatkov --- technologie de mégadonnées --- massa de dados --- mass data --- analýza dat velkého objemu --- massadatatekniikka --- podejmowanie decyzji --- Entscheidungsprozess --- besluitvorming --- доношење одлуке --- prise de décision --- донесување одлуки --- toma de decisiones --- взимане на решение --- határozathozatal --- teħid ta’ deċiżjonijiet --- vendim-marrje --- odločanje --- päätöksenteko --- otsuste tegemine --- beslutsfattande --- rozhodovanie --- processo decisionale --- tomada de decisão --- donošenje odluke --- beslutningstagning --- lēmuma pieņemšana --- sprendimų priėmimas --- λήψη απόφασης --- luarea deciziilor --- rozhodování --- beslutningsproces --- estrutura funcional --- beslutsprocess --- processus décisionnel --- döntéshozatali folyamat --- Beschlußfassung --- päätöksentekoprosessi --- decision-making process --- διαδικασία λήψης αποφάσεων --- beslutsförlopp --- proces i vendimmarrjes --- proceso decisorio --- határozathozatali eljárás --- processus de décision --- otsustamisprotsess --- besluitvormingsproces --- procedura di decisione --- processo decisorio --- beslutsprocedur --- lēmuma pieņemšanas process --- rozhodovací proces --- besluitvormingsprocedure --- proceso de toma de decisiones --- процес на одлучување --- procédure de décision --- proces de luare a deciziilor --- presa di decisioni --- proces odlučivanja --- Beschlussfassung --- processo di decisione --- beslutningsprocedure --- Beschlussverfahren --- proceso de decisión --- одлучување --- processo de decisão --- döntéshozatal --- Entscheidungsfindung --- odlučivanje --- majanduslik teabehaldus --- ekonomické zpravodajství --- inteligjencë ekonomike --- ekonomisk information --- gazdasági hírszerzés --- estrategia económica --- intelliġenza ekonomika --- taloudellinen tiedonhallinta --- informacja gospodarcza --- ekonominė informacija --- inteligência económica --- ekonomska špijunaža --- привредне информације --- økonomisk intelligens --- gospodarske informacije --- ekonomikas informācija --- hospodárska špionáž --- intelligenza economica --- intelligence économique --- inteligență economică --- οικονομική ενημέρωση --- икономическа информация --- Wirtschaftsinformation --- економско разузнавање --- economische informatievergaring --- konkurrencemæssig intelligens --- talouden tuntemus --- informazioni economiche --- ενημέρωση περί ανταγωνισμού --- gospodarska špijunaža --- konkurens által történő hírszerzés --- ekonomické informace --- ekonominė žvalgyba --- rozšiřování ekonomických informací --- intelligence concurrentielle --- estrategia competitiva --- inteligência competitiva --- bedrijfsbeheerssysteem --- komercdatu apstrāde --- informatika v obchodu a managementu --- informatique de gestion --- verslo duomenų apdorojimas --- spracovanie obchodných údajov --- обрада пословних података --- informatică de gestiune --- informatica gestionale --- proċessar ta' data kummerċjali --- administrativ databehandling --- обработка на деловни податоци --- μηχανοργάνωση --- informatyka w biznesie --- poslovna informatika --- informática de gestão --- Datenverarbeitung in der Verwaltung --- informatikë administrimi --- forvaltningsdatamatik --- informática de gestión --- üzleti informatika --- andmetöötlus halduses --- tietotekniikan käyttö hallinnossa --- управленска информатика --- obrada poslovnih podataka --- zpracování obchodních dat --- деловна информатика --- administrativ informatik --- zpracování komerčních informací --- zpracování obchodních informací --- zpracování informací v oblasti správy --- verslo informatika --- obchodní informatika --- zpracování řídicích informací --- zpracování manažerských informací --- zpracování dat v oblasti řízení --- cinnteoireacht --- faisnéis eacnamaíoch --- próiseáil sonraí gnó --- Business information services

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The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers; Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more; Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking; Develop your own big data strategy by accessing additional reading materials at the end of each chapter.

Consumer behavior. --- Strategic planning. --- Big data.

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Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands

Information technology --- Big data. --- Management --- Decision making --- Management. --- Statistical methods.

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Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.

Business planning. --- Artificial intelligence. --- Information technology --- Management.