Produkte zum Begriff Big Data Analytics:
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Digital Marketing Analytics: Making Sense of Consumer Data in a Digital World
Distill Maximum Value from Your Digital Data! Do It Now!Why hasn’t all that data delivered a whopping competitive advantage? Because you’ve barely begun to use it, that’s why! Good news: neither have your competitors. It’s hard! But digital marketing analytics is 100% doable, it offers colossal opportunities, and all of the data is accessible to you. Chuck Hemann and Ken Burbary will help you chop the problem down to size, solve every piece of the puzzle, and integrate a virtually frictionless system for moving from data to decision, action to results! Scope it out, pick your tools, learn to listen, get the metrics right, and then distill your digital data for maximum value for everything from R&D to customer service to social media marketing!Prioritize—because you can’t measure and analyze everything Use analysis to craft experiences that profoundly reflect each customer’s needs, expectations, and behaviors Measure real digital media ROI: sales, leads, and customer satisfaction Track the performance of all paid, earned, and owned digital channels Leverage digital data way beyond PR and marketing: for strategic planning, product development, and HR Start optimizing digital content in real time Implement advanced tools, processes, and algorithms for accurately measuring influence Make the most of surveys, focus groups, and offline research synergies Focus new marketing investments where they’ll deliver the most value • Identify and understand your most important audiences across the digital ecosystem“Chuck and Ken lead marketers clearly and efficiently through the minefield of digital marketing measurement. And they do so with a lightness of touch and absence of jargon so rare in this overhyped, much-misunderstood ecosystem.” —Sam Knowles, Founder & MD of Insight Agents; author of Narrative by Numbers: How to Tell Powerful & Purposeful Stories with Data
Preis: 29.95 € | Versand*: 0 € -
Digital Marketing Analytics: Making Sense of Consumer Data in a Digital World
Distill Maximum Value from Your Digital Data! Do It Now!Why hasn’t all that data delivered a whopping competitive advantage? Because you’ve barely begun to use it, that’s why! Good news: neither have your competitors. It’s hard! But digital marketing analytics is 100% doable, it offers colossal opportunities, and all of the data is accessible to you. Chuck Hemann and Ken Burbary will help you chop the problem down to size, solve every piece of the puzzle, and integrate a virtually frictionless system for moving from data to decision, action to results! Scope it out, pick your tools, learn to listen, get the metrics right, and then distill your digital data for maximum value for everything from R&D to customer service to social media marketing!Prioritize—because you can’t measure and analyze everything Use analysis to craft experiences that profoundly reflect each customer’s needs, expectations, and behaviors Measure real digital media ROI: sales, leads, and customer satisfaction Track the performance of all paid, earned, and owned digital channels Leverage digital data way beyond PR and marketing: for strategic planning, product development, and HR Start optimizing digital content in real time Implement advanced tools, processes, and algorithms for accurately measuring influence Make the most of surveys, focus groups, and offline research synergies Focus new marketing investments where they’ll deliver the most value • Identify and understand your most important audiences across the digital ecosystem“Chuck and Ken lead marketers clearly and efficiently through the minefield of digital marketing measurement. And they do so with a lightness of touch and absence of jargon so rare in this overhyped, much-misunderstood ecosystem.” —Sam Knowles, Founder & MD of Insight Agents; author of Narrative by Numbers: How to Tell Powerful & Purposeful Stories with Data
Preis: 29.95 € | Versand*: 0 € -
Internet Marketing Start to Finish: Drive measurable, repeatable online sales with search marketing, usability, CRM, and analytics
Internet Marketing Start to Finish A breakthrough system for attracting more customers on the Internet Internet marketing is the fastest, most efficient way to attract profitable new customers—if you run it strategically and systematically. This book shows you how. You’ll discover how to integrate marketing, sales, and operations functions to work together far more effectively, capture the right real-time data for decision-making, and apply it to drive dramatic improvements in performance. Drawing on extensive in-the-trenches experience, the authors help you implement a more iterative, measurable, and repeatable approach to Internet marketing, deliver better-qualified leads, build an online sales engine to track and improve every customer relationship…and, above all, grow profits! You’ll Learn How To: • Craft flexible strategies that can quickly learn from experience • Eliminate "silos" that prevent effective measurement and execution • Overcome obstacles ranging from culture to processes to individual behavior • Build a powerful online sales engine to track customers through the entire relationship • Avoid dangerous data and weed out junk leads • Integrate web KPIs into business decision-making • Link web to lead to CRM analysis • Redefine messages to respond to your key audiences’ personas • Architect and design sites to improve user experience and conversion • Write highly findable content, and then make it even more visible • Start a feedback loop for continually optimizing both tactics and strategy • Globalize Internet marketing for diverse languages and cultures • Translate your performance into boardroom-ready reports CATHERINE JUON, Co-Founder & Catalyst of Pure Visibility, has worked in the Internet space for nearly 20 years. She has extensive experience helping companies develop integrated online marketing strategies that leverage online advertising, search engine marketing, and social media. DUNRIE ALLISON GREILING, Director of Happiness at Pure Visibility, works with analysts to derive actionable recommendations from complex web data and develop strategic Internet marketing plans. She has more than a decade of web content and project-management experience. CATHERINE BUERKLE has 18+ years of experience in usability design, web-based media, technical communication, project management, and marketing. She founded ArborComm, Inc., and co-founded the Digital Design Institute of Michigan. ISBN-13: 978-0-7897-4789-1 ISBN-10: 0-7897-4789-8
Preis: 13.9 € | Versand*: 0 € -
Internet Marketing Start to Finish: Drive measurable, repeatable online sales with search marketing, usability, CRM, and analytics
Internet Marketing Start to Finish A breakthrough system for attracting more customers on the Internet Internet marketing is the fastest, most efficient way to attract profitable new customers—if you run it strategically and systematically. This book shows you how. You’ll discover how to integrate marketing, sales, and operations functions to work together far more effectively, capture the right real-time data for decision-making, and apply it to drive dramatic improvements in performance. Drawing on extensive in-the-trenches experience, the authors help you implement a more iterative, measurable, and repeatable approach to Internet marketing, deliver better-qualified leads, build an online sales engine to track and improve every customer relationship…and, above all, grow profits! You’ll Learn How To: • Craft flexible strategies that can quickly learn from experience • Eliminate "silos" that prevent effective measurement and execution • Overcome obstacles ranging from culture to processes to individual behavior • Build a powerful online sales engine to track customers through the entire relationship • Avoid dangerous data and weed out junk leads • Integrate web KPIs into business decision-making • Link web to lead to CRM analysis • Redefine messages to respond to your key audiences’ personas • Architect and design sites to improve user experience and conversion • Write highly findable content, and then make it even more visible • Start a feedback loop for continually optimizing both tactics and strategy • Globalize Internet marketing for diverse languages and cultures • Translate your performance into boardroom-ready reports CATHERINE JUON, Co-Founder & Catalyst of Pure Visibility, has worked in the Internet space for nearly 20 years. She has extensive experience helping companies develop integrated online marketing strategies that leverage online advertising, search engine marketing, and social media. DUNRIE ALLISON GREILING, Director of Happiness at Pure Visibility, works with analysts to derive actionable recommendations from complex web data and develop strategic Internet marketing plans. She has more than a decade of web content and project-management experience. CATHERINE BUERKLE has 18+ years of experience in usability design, web-based media, technical communication, project management, and marketing. She founded ArborComm, Inc., and co-founded the Digital Design Institute of Michigan. ISBN-13: 978-0-7897-4789-1 ISBN-10: 0-7897-4789-8
Preis: 18.18 € | Versand*: 0 €
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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.
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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.
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Was machen Online Marketing Agenturen?
Was machen Online Marketing Agenturen? Online Marketing Agenturen bieten eine Vielzahl von Dienstleistungen an, um Unternehmen bei der Vermarktung ihrer Produkte oder Dienstleistungen im Internet zu unterstützen. Dazu gehören unter anderem Suchmaschinenoptimierung (SEO), Suchmaschinenmarketing (SEM), Social Media Marketing, Content Marketing und E-Mail Marketing. Sie entwickeln Strategien, erstellen Kampagnen, analysieren Daten und optimieren kontinuierlich die Performance, um die Online-Präsenz und den Umsatz ihrer Kunden zu steigern. Letztendlich helfen Online Marketing Agenturen Unternehmen dabei, ihre Zielgruppe effektiv zu erreichen und ihre Online-Präsenz zu stärken.
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Welches Buch zum Thema Online-Marketing und Social-Media-Marketing könnt ihr empfehlen?
Ein Buch, das ich empfehlen kann, ist "Online-Marketing: Grundlagen, Konzepte und Instrumente" von Erwin Lammenett. Es bietet einen umfassenden Überblick über alle relevanten Themen im Online-Marketing, einschließlich Social-Media-Marketing. Das Buch ist gut strukturiert und vermittelt praxisnahe Tipps und Strategien für eine erfolgreiche Online-Marketing-Kampagne. Ein weiteres empfehlenswertes Buch ist "Social Media Marketing: Strategien für Twitter, Facebook & Co." von Tamar Weinberg. Es behandelt speziell das Thema Social-Media-Marketing und gibt einen detaillierten Einblick in die verschiedenen Plattformen und deren Nutzungsmöglichkeiten. Das Buch enthält viele praktische Beispiele und Fallstudien, die helfen, die Strategien besser zu verstehen und umzusetzen.
Ähnliche Suchbegriffe für Big Data Analytics:
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Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.
Preis: 48.14 € | Versand*: 0 € -
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.
Preis: 36.37 € | Versand*: 0 € -
Strategies on SEO Analytics - Content Marketing Tools Alpha Academy Code
Strategies on SEO Analytics - Content Marketing Tools Unlock the power of data with our "Strategies on SEO Analytics - Content Marketing Tools" course. This comprehensive training equips you with essential skills to optimise your SEO strategy using cutting-edge content marketing tools. Benefit from well-instructed sessions that cover analytics, keyword tracking, and performance evaluation to drive results. Enhance your digital marketing skills and stay ahead in a competitive market. Key Featu...
Preis: 11.99 € | Versand*: 0.00 EUR € -
Strategies on SEO Analytics - Content Marketing Tools Alpha Academy Code
Strategien zur SEO-Analyse - Content-Marketing-Tools Entfesseln Sie die Macht der Daten mit unserem Kurs „Strategien für SEO-Analysen – Content-Marketing-Tools". Diese umfassende Schulung vermittelt Ihnen wichtige Fähigkeiten zur Optimierung Ihrer SEO-Strategie mithilfe modernster Content-Marketing-Tools. Profitieren Sie von gut unterrichteten Sitzungen, die Analysen, Keyword-Tracking und Leistungsbewertung abdecken, um Ergebnisse zu erzielen. Verbessern Sie Ihre digitalen Marketingfähigkeite...
Preis: 11.99 € | Versand*: 0.00 EUR €
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Wie kann man mit Hilfe von Social Media und Suchmaschinenoptimierung erfolgreich Online Marketing betreiben?
Durch regelmäßige und ansprechende Beiträge auf Social Media Plattformen können Unternehmen ihre Reichweite erhöhen und Kundenbindung stärken. Mit Suchmaschinenoptimierung können Unternehmen ihre Sichtbarkeit in den Suchergebnissen verbessern und mehr Traffic auf ihre Website lenken. Eine Kombination aus beiden Strategien kann dazu beitragen, die Online-Präsenz zu steigern und den Umsatz zu steigern.
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Was ist der Unterschied zwischen Social Media Marketing und Social Network Marketing?
Social Media Marketing bezieht sich auf die Verwendung von sozialen Medienplattformen wie Facebook, Instagram oder Twitter, um Marketingbotschaften zu verbreiten und mit der Zielgruppe zu interagieren. Social Network Marketing hingegen konzentriert sich speziell auf die Nutzung von sozialen Netzwerken wie LinkedIn oder Xing, um geschäftliche Beziehungen aufzubauen und professionelle Kontakte zu knüpfen. Während Social Media Marketing eher auf breite Zielgruppen ausgerichtet ist, zielt Social Network Marketing darauf ab, gezielt mit bestimmten Personen oder Unternehmen in Verbindung zu treten.
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Was ist Content-Erstellung bei einer Social-Media-Marketing-Agentur?
Bei einer Social-Media-Marketing-Agentur beinhaltet die Content-Erstellung das Erstellen von ansprechenden und relevanten Inhalten für die Social-Media-Plattformen der Kunden. Dies kann die Erstellung von Texten, Bildern, Videos oder Grafiken umfassen, die darauf abzielen, die Zielgruppe zu erreichen und zu engagieren. Die Agentur muss sicherstellen, dass der erstellte Content den Markenrichtlinien entspricht und die gewünschte Botschaft effektiv vermittelt. Zudem ist es wichtig, den Content regelmäßig zu planen, zu erstellen und zu veröffentlichen, um eine konsistente Präsenz auf den Social-Media-Plattformen zu gewährleisten.
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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.
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