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Produkte zum Begriff Big Data Analytics:


  • Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics
    Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics

    Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You'll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics… how to become one of those deciders… and how to identify, foster, support, empower, and reward others to join you.   Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes:   How analytical and conventional decision making differ — and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.

    Preis: 39.58 € | Versand*: 0 €
  • Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics
    Applied Business Analytics: Integrating Business Process, Big Data, and Advanced Analytics

    Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You'll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics… how to become one of those deciders… and how to identify, foster, support, empower, and reward others to join you.   Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes:   How analytical and conventional decision making differ — and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.

    Preis: 29.95 € | Versand*: 0 €
  • Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics
    Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics

    How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering ExperienceAnalytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense.This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM’s pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn’t work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business.Coverage Includes Creating a smarter workforce through big data and analytics More effectively optimizing supply chain processes Systematically improving financial forecasting Managing financial risk, increasing operational efficiency, and creating business value Reaching more B2B or B2C customers and deepening their engagement Optimizing manufacturing and product management processes Deploying your sales organization to increase revenue and effectiveness Achieving new levels of excellence in services delivery and reducing risk Transforming IT to enable wider use of analytics  “Measuring the immeasurable” and filling gaps in imperfect data Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too.   Learn more about IBM Analytics

    Preis: 13.9 € | Versand*: 0 €
  • Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics
    Analytics Across the Enterprise: How IBM Realizes Business Value from Big Data and Analytics

    How to Transform Your Organization with Analytics: Insider Lessons from IBM’s Pioneering ExperienceAnalytics is not just a technology: It is a better way to do business. Using analytics, you can systematically inform human judgment with data-driven insight. This doesn’t just improve decision-making: It also enables greater innovation and creativity in support of strategy. Your transformation won’t happen overnight; however, it is absolutely achievable, and the rewards are immense.This book demystifies your analytics journey by showing you how IBM has successfully leveraged analytics across the enterprise, worldwide. Three of IBM’s pioneering analytics practitioners share invaluable real-world perspectives on what does and doesn’t work and how you can start or accelerate your own transformation. This book provides an essential framework for becoming a smarter enterprise and shows through 31 case studies how IBM has derived value from analytics throughout its business.Coverage Includes Creating a smarter workforce through big data and analytics More effectively optimizing supply chain processes Systematically improving financial forecasting Managing financial risk, increasing operational efficiency, and creating business value Reaching more B2B or B2C customers and deepening their engagement Optimizing manufacturing and product management processes Deploying your sales organization to increase revenue and effectiveness Achieving new levels of excellence in services delivery and reducing risk Transforming IT to enable wider use of analytics  “Measuring the immeasurable” and filling gaps in imperfect data Whatever your industry or role, whether a current or future leader, analytics can make you smarter and more competitive. Analytics Across the Enterprise shows how IBM did it--and how you can, too.   Learn more about IBM Analytics

    Preis: 18.18 € | Versand*: 0 €
  • Wie funktioniert Big Data Analytics?

    Wie funktioniert Big Data Analytics? Big Data Analytics beinhaltet die Verarbeitung und Analyse großer Mengen von Daten, um Muster, Trends und Erkenntnisse zu identifizieren. Zunächst werden die Daten gesammelt und gespeichert, dann werden sie mithilfe von speziellen Tools und Algorithmen analysiert. Durch den Einsatz von Data Mining, maschinellem Lernen und künstlicher Intelligenz können Unternehmen wertvolle Einblicke gewinnen und fundierte Entscheidungen treffen. Die Ergebnisse der Analyse können für verschiedene Anwendungen genutzt werden, wie z.B. zur Verbesserung von Produkten und Dienstleistungen, zur Optimierung von Geschäftsprozessen oder zur Vorhersage von zukünftigen Entwicklungen.

  • Wie können Big Data Analytics-Technologien im Projektmanagement eingesetzt werden?

    Big Data Analytics-Technologien können im Projektmanagement eingesetzt werden, um große Mengen an Daten aus verschiedenen Quellen zu sammeln und zu analysieren. Dies ermöglicht es Projektmanagern, Trends und Muster zu erkennen, Risiken frühzeitig zu identifizieren und fundierte Entscheidungen zu treffen. Darüber hinaus können Big Data Analytics-Technologien auch zur Vorhersage von Projektverzögerungen oder zur Optimierung von Ressourcen eingesetzt werden.

  • Wie entsteht Big Data?

    Big Data entsteht durch die Sammlung und Speicherung einer großen Menge von Daten aus verschiedenen Quellen wie Sensoren, Social Media, Transaktionen und mehr. Diese Daten werden dann mithilfe von speziellen Tools und Technologien analysiert und verarbeitet, um Muster, Trends und Erkenntnisse zu identifizieren. Durch die kontinuierliche Erfassung und Analyse von Daten in Echtzeit können Unternehmen fundierte Entscheidungen treffen und ihre Geschäftsprozesse optimieren. Letztendlich ermöglicht Big Data eine tiefere Einblicke in das Verhalten von Kunden, Trends auf dem Markt und ermöglicht die Entwicklung innovativer Produkte und Dienstleistungen.

  • Wie funktioniert Big Data?

    Wie funktioniert Big Data?

Ähnliche Suchbegriffe für Big Data Analytics:


  • Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data
    Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data

    The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.

    Preis: 22.46 € | Versand*: 0 €
  • Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data
    Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data

    The Definitive Guide to Enterprise-Level Analytics Strategy, Technology, Implementation, and Management Organizations are capturing exponentially larger amounts of data than ever, and now they have to figure out what to do with it. Using analytics, you can harness this data, discover hidden patterns, and use this knowledge to act meaningfully for competitive advantage. Suddenly, you can go beyond understanding “how, when, and where” events have occurred, to understand why – and use this knowledge to reshape the future. Now, analytics pioneer Tom Davenport and the world-renowned experts at the International Institute for Analytics (IIA) have brought together the latest techniques, best practices, and research on analytics in a single primer for maximizing the value of enterprise data. Enterprise Analytics is today’s definitive guide to analytics strategy, planning, organization, implementation, and usage. It covers everything from building better analytics organizations to gathering data; implementing predictive analytics to linking analysis with organizational performance. The authors offer specific insights for optimizing supply chains, online services, marketing, fraud detection, and many other business functions. They support their powerful techniques with many real-world examples, including chapter-length case studies from healthcare, retail, and financial services. Enterprise Analytics will be an invaluable resource for every business and technical professional who wants to make better data-driven decisions: operations, supply chain, and product managers; product, financial, and marketing analysts; CIOs and other IT leaders; data, web, and data warehouse specialists, and many others.

    Preis: 29.95 € | Versand*: 0 €
  • Network Security with Netflow and IPFIX: Big Data Analytics for Information Security
    Network Security with Netflow and IPFIX: Big Data Analytics for Information Security

    A comprehensive guide for deploying, configuring, and troubleshooting NetFlow and learning big data analytics technologies for cyber security   Today’s world of network security is full of cyber security vulnerabilities, incidents, breaches, and many headaches. Visibility into the network is an indispensable tool for network and security professionals and Cisco NetFlow creates an environment where network administrators and security professionals have the tools to understand who, what, when, where, and how network traffic is flowing.   Network Security with NetFlow and IPFIX is a key resource for introducing yourself to and understanding the power behind the Cisco NetFlow solution. Omar Santos, a Cisco Product Security Incident Response Team (PSIRT) technical leader and author of numerous books including the CCNA Security 210-260 Official Cert Guide, details the importance of NetFlow and demonstrates how it can be used by large enterprises and small-to-medium-sized businesses to meet critical network challenges. This book also examines NetFlow’s potential as a powerful network security tool.   Network Security with NetFlow and IPFIX explores everything you need to know to fully understand and implement the Cisco Cyber Threat Defense Solution. It also provides detailed configuration and troubleshooting guidance, sample configurations with depth analysis of design scenarios in every chapter, and detailed case studies with real-life scenarios.   You can follow Omar on Twitter: @santosomar   NetFlow and IPFIX basics Cisco NetFlow versions and features Cisco Flexible NetFlow NetFlow Commercial and Open Source Software Packages Big Data Analytics tools and technologies such as Hadoop, Flume, Kafka, Storm, Hive, HBase, Elasticsearch, Logstash, Kibana (ELK) Additional Telemetry Sources for Big Data Analytics for Cyber Security Understanding big data scalability Big data analytics in the Internet of everything Cisco Cyber Threat Defense and NetFlow Troubleshooting NetFlow Real-world case studies    

    Preis: 33.16 € | Versand*: 0 €
  • Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself
    Big Data Analytics with Microsoft HDInsight in 24 Hours, Sams Teach Yourself

    Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 HoursIn just 24 lessons of one hour or less, Sams Teach Yourself Big Data Analytics with Microsoft HDInsight in 24 Hours helps you leverage Hadoop’s power on a flexible, scalable cloud platform using Microsoft’s newest business intelligence, visualization, and productivity tools. This book’s straightforward, step-by-step approach shows you how to provision, configure, monitor, and troubleshoot HDInsight and use Hadoop cloud services to solve real analytics problems. You’ll gain more of Hadoop’s benefits, with less complexity–even if you’re completely new to Big Data analytics. Every lesson builds on what you’ve already learned, giving you a rock-solid foundation for real-world success. Practical, hands-on examples show you how to apply what you learn Quizzes and exercises help you test your knowledge and stretch your skills Notes and tips point out shortcuts and solutions   Learn how to… ·         Master core Big Data and NoSQL concepts, value propositions, and use cases ·         Work with key Hadoop features, such as HDFS2 and YARN ·         Quickly install, configure, and monitor Hadoop (HDInsight) clusters in the cloud ·         Automate provisioning, customize clusters, install additional Hadoop projects, and administer clusters ·         Integrate, analyze, and report with Microsoft BI and Power BI ·         Automate workflows for data transformation, integration, and other tasks ·         Use Apache HBase on HDInsight ·         Use Sqoop or SSIS to move data to or from HDInsight ·         Perform R-based statistical computing on HDInsight datasets ·         Accelerate analytics with Apache Spark ·         Run real-time analytics on high-velocity data streams ·         Write MapReduce, Hive, and Pig programs   Register your book at informit.com/register for convenient access to downloads, updates, and corrections as they become available. 

    Preis: 27.81 € | Versand*: 0 €
  • Was ist Big Data?

    Big Data bezieht sich auf große Mengen an Daten, die mit hoher Geschwindigkeit und Vielfalt generiert werden. Diese Daten können aus verschiedenen Quellen stammen, wie zum Beispiel sozialen Medien, Sensoren oder Transaktionen. Big Data ermöglicht es Unternehmen, Muster und Trends zu identifizieren, um fundierte Entscheidungen zu treffen und ihre Geschäftsprozesse zu optimieren.

  • Was ist das Big Data?

    Was ist das Big Data? Big Data bezieht sich auf die riesigen Mengen an Daten, die in unserer digitalen Welt generiert werden. Diese Daten stammen aus verschiedenen Quellen wie sozialen Medien, Sensoren, Mobilgeräten und mehr. Big Data zeichnet sich durch die 3Vs aus: Volumen, Vielfalt und Geschwindigkeit. Unternehmen nutzen Big Data, um Muster und Trends zu erkennen, fundierte Entscheidungen zu treffen und ihre Geschäftsprozesse zu optimieren. Es erfordert spezielle Tools und Technologien wie Data Mining, maschinelles Lernen und künstliche Intelligenz, um Big Data effektiv zu verarbeiten und zu analysieren.

  • Wo wird Big Data gespeichert?

    Big Data wird in speziellen Datenbanken und Datenlagern gespeichert, die für die Verarbeitung und Analyse großer Datenmengen optimiert sind. Oft werden dafür auch Cloud-Speicherlösungen genutzt, die skalierbar sind und eine hohe Verfügbarkeit bieten. Zudem können Unternehmen ihre Big Data in eigenen Rechenzentren oder auf dedizierten Servern speichern. Ein weiterer Trend ist die Nutzung von verteilten Systemen wie Hadoop oder Spark, die es ermöglichen, große Datenmengen auf mehreren Servern zu verteilen und parallel zu verarbeiten. Letztendlich hängt die Wahl des Speicherorts für Big Data von den individuellen Anforderungen und Ressourcen eines Unternehmens ab.

  • Wie wichtig ist Big Data?

    Wie wichtig ist Big Data? Big Data spielt heutzutage eine entscheidende Rolle in nahezu allen Branchen, da Unternehmen immer mehr Daten sammeln und analysieren, um fundierte Entscheidungen zu treffen. Durch die Analyse großer Datenmengen können Unternehmen wertvolle Einblicke gewinnen, Trends erkennen und ihre Geschäftsstrategien optimieren. Zudem ermöglicht Big Data die Personalisierung von Produkten und Dienstleistungen, um die Bedürfnisse der Kunden besser zu verstehen und zu erfüllen. Insgesamt ist Big Data also von großer Bedeutung für den Erfolg und die Wettbewerbsfähigkeit von Unternehmen in der heutigen digitalen Welt.

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