Angebote zu "Analytics" (34 Treffer)

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Lean Analytics
27,99 € *
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Whether you?re a startup founder trying to disrupt an industry or an intrapreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. * Understand Lean Startup, analytics fundamentals, and the data-driven mindset * Look at six sample business models and how they map to new ventures of all sizes * Find the One Metric That Matters to you * Learn how to draw a line in the sand, so you?ll know it?s time to move forward * Apply Lean Analytics principles to large enterprises and established products

Anbieter: buecher.de
Stand: 23.05.2019
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Mastering Azure Analytics
30,99 € *
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Offers information, organized into a reference framework, to help users decide which Azure service best fits their requirements and explains how to implement a complete solution that scales, provides human fault tolerance, and supports future needs.

Anbieter: buecher.de
Stand: 23.05.2019
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Data Analytics in Professional Soccer
52,99 € *
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Daniel Link explores how data analytics can be used for studying performance in soccer. Based on spatiotemporal data from the German Bundesliga, the six individual studies in this book present innovative mathematical approaches for game analysis and player assessment. The findings can support coaches and analysts to improve performance of their athletes and inspire other researchers to advance the research field of sports analytics.

Anbieter: buecher.de
Stand: 23.05.2019
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Data Analytics with Hadoop
17,99 € *
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Provides a solid introduction to the world of clustered computing and analytics with Hadoop, focusing on particular analyses users can build, the data warehousing techniques that Hadoop provides and the higher order data workflows it can produce. Original.

Anbieter: buecher.de
Stand: 23.05.2019
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BI & Analytics in der Cloud
59,90 € *
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Business Intelligence und Analytics (BIA) in der Cloud bietet zahlreiche Möglichkeiten, existierende Infrastrukturen sinnvoll zu ergänzen. Doch viele Anwenderunternehmen sind im Hinblick auf die praktische Umsetzung noch zurückhaltend. Was genau ist Cloud Business Intelligence und Analytics, welche Besonderheiten sind zu beachten und welche Einsatzfelder bieten sich an? Die Autoren dieses Buches beantworten all diese Fragen, geben einen fundierten Überblick und behandeln im Einzelnen folgende Themen: - Mehrwerte von Cloud-Services in hybriden DWH-Architekturen - Die Cloud als Agilitätshebel für BIA - Treiber einer ´´Data Warehouse as a Service´´-Lösung - Wirtschaftlichkeitsbewertung von Cloud-BIALösungen - Big Data in der Cloud - Welche Vorteile haben Cloud-Lösungen bei großen Datenmengen? - Analytisches CRM unter Einbeziehung von Social-Media-Daten - Monitoring und Steuerung der Supply Chain mit BI-Lösungen in der Cloud - Cloud-Nutzungsstrategien für Data Analytics Auch auf Fragen des Datenschutzes in der Cloud wird eingegangen. Abgerundet wird das Buch mit einem Marktüberblick und Markttrends zu Cloud BI.

Anbieter: buecher.de
Stand: 23.05.2019
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Business and Consumer Analytics: New Ideas
204,99 € *
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This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.

Anbieter: buecher.de
Stand: 23.05.2019
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Predictive Analytics für Dummies
26,99 € *
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Sie möchten endlich wissen, was es mit Predictive Analytics auf sich hat und ob es vielleicht mathematische Verfahren gibt, die Ihnen die Prognose zukünftiger Entwicklungen erleichtern? Dieses Buch versetzt Sie mit den passenden Werkzeugen schnell in die Lage, Daten zu sammeln und zu analysieren und dann Vorhersagen zu machen. Die Autoren werden Sie nicht mit höherer Mathematik behelligen, sondern stattdessen anhand von zahlreichen Beispielen deutlich machen, welche Algorithmen wann zum Ziel führen und wie man die richtigen Modelle für die Zukunft wählt. Auch vermeintliche Randthemen werden angesprochen wie ´´Wie erkläre und präsentiere ich die Erkenntnisse den Kollegen?´´, ´´Was sind realistische Ziele?´´ und ´´Was kann ich mir finanziell leisten?´´

Anbieter: buecher.de
Stand: 23.05.2019
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Advanced Analytics with Spark
33,99 € *
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Anbieter: buecher.de
Stand: 23.05.2019
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Social Media Data Mining and Analytics
34,99 € *
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Harness the power of social media to predict customer behavior and improve sales Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in Big Data initiatives that will help them predict consumer behavior to produce better sales results. Written by Dr. Gabor Szabo, a Senior Data Scientist at Twitter, and Dr. Oscar Boykin, a Software Engineer at Twitter, Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses. Social Media Data Mining and Analytics isn´t just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Facebook, Pinterest, Wikipedia, Reddit, Flickr, Web hyperlinks, and other rich data sources. In it, you will learn: * The four key characteristics of online services-users, social networks, actions, and content * The full data discovery lifecycle-data extraction, storage, analysis, and visualization * How to work with code and extract data to create solutions * How to use Big Data to make accurate customer predictions Szabo and Boykin wrote this book to provide businesses with the competitive advantage they need to harness the rich data that is available from social media platforms.

Anbieter: buecher.de
Stand: 23.05.2019
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