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Analytics for Leaders
by N. I. FisherAnalytics for Leaders provides a concise, readable account of a complete system of performance measurement for an enterprise. Based on over 20 years of research and development, the system is designed to provide people at all levels with the quantitative information they need to do their jobs: board members to exercise due diligence about all facets of the business, leaders to decide where to focus attention next, and people to carry out their work well. For senior officers, chapter openers provide quick overviews about the overall approach to a particular stakeholder group and how to connect overall performance measures to business impact. For MBA students, extensive supporting notes and references provide in-depth understanding. For researchers and practitioners, a generic statistical approach is described to encourage new ways of tackling performance measurement issues. The book is relevant to all types of enterprise, large or small, public or private, academic or governmental.
Analytics for Managers: With Excel
by Gregory S. Zaric Peter C. BellAnalytics is one of a number of terms which are used to describe a data-driven more scientific approach to management. Ability in analytics is an essential management skill: knowledge of data and analytics helps the manager to analyze decision situations, prevent problem situations from arising, identify new opportunities, and often enables many millions of dollars to be added to the bottom line for the organization. The objective of this book is to introduce analytics from the perspective of the general manager of a corporation. Rather than examine the details or attempt an encyclopaedic review of the field, this text emphasizes the strategic role that analytics is playing in globally competitive corporations today. The chapters of this book are organized in two main parts. The first part introduces a problem area and presents some basic analytical concepts that have been successfully used to address the problem area. The objective of this material is to provide the student, the manager of the future, with a general understanding of the tools and techniques used by the analyst.
Analytics for Retail: A Step-by-Step Guide to the Statistics Behind a Successful Retail Business
by Rhoda OkunevExamine select retail business scenarios to learn basic mathematics, as well as probability and statistics required to analyze big data. This book focuses on useful and imperative applied analytics needed to build a retail business and explains mathematical concepts essential for decision making and communication in retail business environments. Everyone is a buyer or seller of products these days whether through a physical department store, Amazon, or their own business website. This book is a step-by-step guide to understanding and managing the mechanics of markups, markdowns, and basic statistics, math and computers that will help in your retail business. You'll tackle what to do with data once it is has accumulated and see how to arrange the data using descriptive statistics, primarily means, median, and mode, and then how to read the corresponding charts and graphs. Analytics for Retail is your path to creating visual representations that powerfully communicate information and drive decisions. What You'll LearnReview standard statistical concepts to enhance your understanding of retail dataUnderstand the concepts of markups, markdowns and profit margins, and probability Conduct an A/B testing email campaign with all the relevant analytics calculated and explainedWho This Book Is ForThis is a primer book for anyone in the field of retail that needs to learn or refresh their skills or for a reader who wants to move in their company to a more analytical position.
Analytics for Smart Energy Management: Tools and Applications for Sustainable Manufacturing (Springer Series in Advanced Manufacturing)
by Seog-Chan Oh Alfred J. HildrethThis book introduces the issues and problems that arise when implementing smart energy management for sustainable manufacturing in the automotive manufacturing industry and the analytical tools and applications to deal with them. It uses a number of illustrative examples to explain energy management in automotive manufacturing, which involves most types of manufacturing technology and various levels of energy consumption. It demonstrates how analytical tools can help improve energy management processes, including forecasting, consumption, and performance analysis, emerging new technology identification as well as investment decisions for establishing smart energy consumption practices. It also details practical energy management systems, making it a valuable resource for professionals involved in real energy management processes, and allowing readers to implement the procedures and applications presented.
Analytics for the Internet of Things (IoT)
by Andrew MinteerThis book targets developers, IoT professionals, and those in the field of data science who are trying to solve business problems through IoT devices and would like to analyze IoT data. IoT enthusiasts, managers, and entrepreneurs who would like to make the most of IoT will find this equally useful. A prior knowledge of IoT would be helpful but is not necessary. Some prior programming experience would be useful
Analytics for the Sharing Economy: Mathematics, Engineering and Business Perspectives
by Giovanni Russo Emanuele Crisostomi Robert Shorten Bissan Ghaddar Florian Häusler Joe Naoum-SawayaThe book provides an encompassing overview of all aspects relating to the sharing economy paradigm in different fields of study, and shows the ongoing research efforts in filling previously identified gaps in understanding in this area. Control and optimization analytics for the sharing economy explores bespoke analytics, tools, and business models that can be used to help design collaborative consumption services (the shared economy). It provides case studies of collaborative consumption in the areas of energy and mobility.The contributors review successful examples of sharing systems, and explore the theory for designing effective and stable shared-economy models. They discuss recent innovations in and uses of shared economy models in niche areas, such as energy and mobility. Readers learn the scientific challenging issues associated with the realization of a sharing economy. Conceptual and practical matters are examined, and the state-of-the-art tools and techniques to address such applications are explained. The contributors also show readers how topical problems in engineering, such as energy consumption in power grids, or bike sharing in transportation networks, can be formulated and solved from a general collaborative consumption perspective. Since the book takes a mathematical perspective to the topic, researchers in business, computer science, optimization and control find it useful. Practitioners also use the book as a point of reference, as it explores and investigates the analytics behind economy sharing.
Analytics in Finance and Risk Management (Information Technology, Management and Operations Research Practices)
by Ewa Ziemba Shivani Agarwal Nga Thi Hong NguyenThis book presents contemporary issues and challenges in finance and risk management in a time of rapid transformation due to technological advancements. It includes research articles based on financial and economic data and intends to cover the emerging role of analytics in financial management, asset management, and risk management. Analytics in Finance and Risk Management covers statistical techniques for data analysis in finance It explores applications in finance and risk management, covering empirical properties of financial systems. It addresses data science involving the study of statistical and computational models and includes basic and advanced concepts. The chapters incorporate the latest methodologies and challenges facing financial and risk management and illustrate related issues and their implications in the real world. The primary users of this book will include researchers, academicians, postgraduate students, professionals in engineering and business analytics, managers, consultants, and advisors in IT firms, financial markets, and services domains.
Analytics in Healthcare: A Practical Introduction (SpringerBriefs in Health Care Management and Economics)
by Christo El Morr Hossam Ali-HassanThis book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records, electronic patient record, clinical findings, diagnosis, prescription drug, medical imaging procedure, mobile health, resources available, etc. Managing the data and analyzing it to properly understand it and use it to make well-informed decisions can be a challenge for managers and health care professionals. A new generation of applications, sometimes referred to as end-user analytics or self-serve analytics, are specifically designed for non-technical users such as managers and business professionals. The ability to use these increasingly accessible tools with the abundant data requires a basic understanding of the core concepts of data, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and analytics for healthcare, while also looking towards future directions in the field.
Analytics in Healthcare: An Introduction (HIMSS Book Series)
by Raymond A. GensingerThe editors of the HIMSS Books' best-seller Health: From Smartphones to Smart Systems have returned to deliver an expansive survey of the initiatives, innovators, and technologies driving the patient-centered mobile healthcare revolution. mHealth Innovation: Best Practices from the Mobile Frontier explores the promise of mHealth as a balance between emerging technologies and process innovations leading to improved outcomes-with the ultimate aim of creating a patient-centered and consumer-driven healthcare ecosystem. Examining the rapidly changing mobile healthcare environment from myriad perspectives, the book includes a comprehensive survey of the current-state ecosystem-app development, interoperability, security, standards, organizational and governmental policy, innovation, next-generation solutions, and mBusiness-and 20 results-driven, world-spanning case studies covering behavior change, patient engagement, patient-provider decision making, mobile gaming, mobile prescription therapy, home monitoring, mobile-to-mobile online delivery, access to care, app certification and quality evaluations, mixed media campaigns, and much more.
Analytics in Smart Tourism Design: Concepts and Methods (Tourism on the Verge)
by Daniel R. Fesenmaier Zheng XiangThis book presents cutting edge research on the development of analytics in travel and tourism. It introduces new conceptual frameworks and measurement tools, as well as applications and case studies for destination marketing and management. It is divided into five parts: Part one on travel demand analytics focuses on conceptualizing and implementing travel demand modeling using big data. It illustrates new ways to identify, generate and utilize large quantities of data in tourism demand forecasting and modeling. Part two focuses on analytics in travel and everyday life, presenting recent developments in wearable computers and physiological measurement devices, and the implications for our understanding of on-the-go travelers and tourism design. Part three embraces tourism geoanalytics, correlating social media and geo-based data with tourism statistics. Part four discusses web-based and social media analytics and presents the latest developments in utilizing user-generated content on the Internet to understand a number of managerial problems. The final part is a collection of case studies using web-based and social media analytics, with examples from the Sochi Olympics on Twitter, leveraging online reviews in the hotel industry, and evaluating destination communications and market intelligence with online hotel reviews. The chapters in this section collectively describe a range of different approaches to understanding market dynamics in tourism and hospitality.
Analytics in a Big Data World
by Bart BaesensThe guide to targeting and leveraging business opportunities using big data & analyticsBy leveraging big data & analytics, businesses create the potential to better understand, manage, and strategically exploiting the complex dynamics of customer behavior. Analytics in a Big Data World reveals how to tap into the powerful tool of data analytics to create a strategic advantage and identify new business opportunities. Designed to be an accessible resource, this essential book does not include exhaustive coverage of all analytical techniques, instead focusing on analytics techniques that really provide added value in business environments.The book draws on author Bart Baesens' expertise on the topics of big data, analytics and its applications in e.g. credit risk, marketing, and fraud to provide a clear roadmap for organizations that want to use data analytics to their advantage, but need a good starting point. Baesens has conducted extensive research on big data, analytics, customer relationship management, web analytics, fraud detection, and credit risk management, and uses this experience to bring clarity to a complex topic.Includes numerous case studies on risk management, fraud detection, customer relationship management, and web analytics Offers the results of research and the author's personal experience in banking, retail, and governmentContains an overview of the visionary ideas and current developments on the strategic use of analytics for businessCovers the topic of data analytics in easy-to-understand terms without an undo emphasis on mathematics and the minutiae of statistical analysisFor organizations looking to enhance their capabilities via data analytics, this resource is the go-to reference for leveraging data to enhance business capabilities.
Analytics the Right Way: A Business Leader's Guide to Putting Data to Productive Use
by Tim Wilson Joe SutherlandCLEAR AND CONCISE TECHNIQUES FOR USING ANALYTICS TO DELIVER BUSINESS IMPACT AT ANY ORGANIZATION Organizations have more data at their fingertips than ever, and their ability to put that data to productive use should be a key source of sustainable competitive advantage. Yet, business leaders looking to tap into a steady and manageable stream of “actionable insights” often, instead, get blasted with a deluge of dashboards, chart-filled slide decks, and opaque machine learning jargon that leaves them asking, “So what?” Analytics the Right Way is a guide for these leaders. It provides a clear and practical approach to putting analytics to productive use with a three-part framework that brings together the realities of the modern business environment with the deep truths underpinning statistics, computer science, machine learning, and artificial intelligence. The result: a pragmatic and actionable guide for delivering clarity, order, and business impact to an organization’s use of data and analytics. The book uses a combination of real-world examples from the authors’ direct experiences—working inside organizations, as external consultants, and as educators—mixed with vivid hypotheticals and illustrations—little green aliens, petty criminals with an affinity for ice cream, skydiving without parachutes, and more—to empower the reader to put foundational analytical and statistical concepts to effective use in a business context.
Analytics und Artificial Intelligence: Datenprojekte mehrwertorientiert, agil und nachhaltig planen und umsetzen
by Matthias Böck David Berger Ramona GreinerDie Autoren zeigen in diesem Buch, wie man für eigene Data-Science-Projekte mit Data Analytics und AI einen echten (Mehr-)Wert schafft. Sie entwickeln einen Leitfaden, mit dem Sie Ihre Datenanalyse systematisch, agil und nutzer:innenzentriert aufbauen und betreiben können. Zunächst machen die Autoren klar, wie wichtig es ist zu Beginn Ihrer Analytics-Projekte die für Ihr Geschäftsmodell richtigen und wertstiftenden Fragen zu stellen. Im Anschluss erläutern sie, wie Sie Technologien und Daten so einsetzen, dass sie einen echten Mehrwert erzeugen können. Schließlich zeigen sie, wie Sie die Projekte effektiv, effizient und gewinnbringend umsetzen können. Das Fundament dafür bilden agile Methoden und Design Thinking, die die Autoren für alltägliche Analytics- und Data-Science-Projekte überführt und adaptiert haben.Mit zahlreichen Beispielen und Erfahrungen aus Daten-, Web- und Digital-Analytics-Projekten sowie zwei realen Beispielen, wie man von der Idee und dem Auftrag zum Prototypen kommt. Aus dem Inhalt Agile Basics: Agile Prinzipien und ErfolgsfaktorenVom Design Thinking zum Data Thinking – wie Design Thinking Datenprojekte besser machtArtificial Intelligence – wie Künstliche Intelligenz mehrwertorientiert in Data Analytics eingesetzt werden kannEthische, rechtliche und ökologische Implikationen – wie Data Analytics und AI doch kein Schreckgespenst werdenDer Data Value Loop - Datenmehrwert agil und nutzer:innenzentriertAnalytics in der Praxis – von der Konzeption über Tracking und Reporting bis zum Arbeitsmeeting im AlltagAI in der Praxis - Data Science und Agile, geht das überhaupt zusammen? Zwei exemplarische ProjektdurchführungenGlossar
Analytics, Innovation, and Excellence-Driven Enterprise Sustainability (Palgrave Studies in Democracy, Innovation, and Entrepreneurship for Growth)
by Elias G. Carayannis Stavros SindakisThis book offers a unique view of how innovation and competitiveness improve when organizations establish alliances with partners who have strong capabilities and broad social capital, allowing them to create value and growth as well as technological knowledge and legitimacy through new knowledge resources. Organizational intelligence integrates the technology variable into production and business systems, establishing a basis to advance decision-making processes. When strategically integrated, these factors have the power to promote enterprise resilience, robustness, and sustainability. This book provides a unique perspective on how knowledge, information, and data analytics create opportunities and challenges for sustainable enterprise excellence. It also shows how the value of digital technology at both personal and industrial levels leads to new opportunities for creating experiences, processes, and organizational forms that fundamentally reshape organizations.
Analytics, Machine Learning, and Artificial Intelligence: Second Analytics Global Conference, AGC 2024, Kolkata, India, March 6–7, 2024, Revised Selected Papers (Communications in Computer and Information Science #2224)
by Chandan Mazumdar Suparna Dhar Sanjay Goswami Indranil Bose Rameshwar Dubey Dinesh Kumar Unni KrishnanThis book constitutes the refereed proceedings of the Second Analytics Global Conference on Analytics, Machine Learning, and Artificial Intelligence, AGC 2024, held in Kolkata, India, during March 6-7, 2024. The 15 full papers and 3 short papers presented in these proceedings were carefully reviewed and selected from 60 submissions. The papers are organized in these topical sections: applications of analytics in business; analytics methods, tools & techniques.
Analytics, Policy, and Governance
by Benjamin Ginsberg Jennifer Bachner Kathryn Wagner HillThe first available textbook on the rapidly growing and increasingly important field of government analytics This first textbook on the increasingly important field of government analytics provides invaluable knowledge and training for students of government in the synthesis, interpretation, and communication of "big data," which is now an integral part of governance and policy making. Integrating all the major components of this rapidly growing field, this invaluable text explores the intricate relationship of data analytics to governance while providing innovative strategies for the retrieval and management of information.
Analytics: The Agile Way
by Phil SimonFor years, organizations have struggled to make sense out of their data. IT projects designed to provide employees with dashboards, KPIs, and business-intelligence tools often take a year or more to reach the finish line...if they get there at all. This has always been a problem. Today, though, it's downright unacceptable. The world changes faster than ever. Speed has never been more important. By adhering to antiquated methods, firms lose the ability to see nascent trends—and act upon them until it's too late. But what if the process of turning raw data into meaningful insights didn't have to be so painful, time-consuming, and frustrating? What if there were a better way to do analytics? Fortunately, you're in luck... Analytics: The Agile Way is the eighth book from award-winning author and Arizona State University professor Phil Simon. Analytics: The Agile Way demonstrates how progressive organizations such as Google, Nextdoor, and others approach analytics in a fundamentally different way. They are applying the same Agile techniques that software developers have employed for years. They have replaced large batches in favor of smaller ones...and their results will astonish you. Through a series of case studies and examples, Analytics: The Agile Way demonstrates the benefits of this new analytics mind-set: superior access to information, quicker insights, and the ability to spot trends far ahead of your competitors.
Analytische Biochemie: Eine praktische Einfuhrung in das Messen mit Biomolekulen
by Frank F. Bier Ulla Wollenberger Reinhard Renneberg Frieder W. SchellerZur Lösung analytischer Fragestellungen wird in der Biotechnologie, der Lebensmittel- und Umweltanalytik sowie der klinischen und pharmazeutischen Chemie neben der instrumentellen Analytik immer häufiger auf bioanalytische Methoden zurückgegriffen. Diese beruhen z. B. auf dem Einsatz von Enzymen, Nukleinsäuren oder Antikörpern. Dazu bietet das Buch eine praktische Einführung in die qualitative und quantitative Analytik mit biochemischen Reagenzien, die sowohl für das Studium wie für die Weiterbildung im Beruf geeignet ist. Die Autoren schlagen eine Brücke von den theoretischen Grundlagen hin zu den praktischen Anwendungen. Dem vertieften Verständnis dient die Beschreibung erprobter Praktikumsversuche. Die Autoren gehören zu einer der weltweit führenden Forschungsgruppen auf diesem Gebiet, lassen aber auch ihre langjährige Lehrerfahrung in dieses neue Buch einfließen.
Analytische Chemie
by Matthias OttoDer "Otto" hat sich zu einem Standardwerk für Studenten der Chemie, Pharmazie, Lebensmittelchemie und anderer chemischer Disziplinen entwickelt, das auch von Nicht-Chemikern und Chemieingenieuren wegen seines didaktischen Aufbaus und seiner klaren Darstellung geschätzt wird. In fünfter, nochmals aktualisierter und um neueste Analysemethoden ergänzter Auflage, wird das gesamte Analytik-Wissen auf Bachelor-Niveau dargestellt. Mit dem Blick für das Wesentliche erklärt der Autor, worauf es bei den vielen heute gebräuchlichen Analysemethoden wirklich ankommt. Von den Grundlagen der qualitativen und quantitativen Analyse bis zu modernen Hochdurchsatz-Analysegeräten und der Qualitätssicherung wird die gesamte Bandbreite der modernen Analytik vorgestellt. Die fünfte Auflage bietet noch mehr Aufgaben und Lösungen zur Selbstkontrolle, außerdem zahlreiche Beispielrechnungen. Die Begriffe und Konstanten sind nach harmonisierten IUPAC-Definitionen aktualisiert. Eine blaue Schmuckfarbe wird im Buch verwendet, um einen noch effizienteren Lernprozess zu ermöglichen.
Analytische Chemie I
by Ulf RitgenDas Arbeitsbuch führt durch das erfolgreiche Werk Harris, Lehrbuch der Quantitativen Analyse und ist vor allem für das Selbststudium konzipiert. In fünf Teilen werden die Vorlesungsinhalte der Analytischen Chemie zusammengefasst und anhand ausgewählter Beispiele erläutert. Grundbegriffe der Analytik werden ebenso dargelegt wie das Prinzip und die verschiedenen Techniken der Maßanalyse und der Chromatographie. Anhand von UV/VIS-, Infrarot- und Raman-Spektroskopie wird die Untersuchung molekular vorliegender Verbindungen erklärt, mit ausgewählten Techniken der Atomspektroskopie findet die Einführung in die Grundlagen der Analytik ihren Abschluss. Dabei wird immer wieder auf essenzielle Abschnitte und Abbildungen des Lehrbuches verwiesen, was das selbstständige Lernen der Grundlagen der Analytischen Chemie erleichtert.Leicht lesbar führt das Buch in die Grundlagen und die wichtigsten Techniken der Analytischen Chemie ein; es richtet sich an Studierende im Grundstudium der Chemie oder verwandter naturwissenschaftlicher Fächer. Dabei wird immer wieder auf die aus Lehrveranstaltungen der Allgemeinen Chemie bekannten Grundlagen Rückbezug genommen, sodass die Zusammenhänge zwischen bereits Bekanntem und Neuem sofort erkenntlich werden. Das Lernen mit diesem Arbeitsbuch ist in einem Fernstudiengang Chemie erprobt und erleichtert die Vorbereitung auf Modulprüfungen der Analytischen Chemie.
Analytische Chemie II
by Ulf RitgenDieses Arbeitsbuch führt durch das erfolgreiche Lehrbuch Skoog/Holler/Crouch, Instrumentelle Analytik und ist vor allem für das Selbststudium konzipiert.In fünf Teilen werden die Vorlesungsinhalte der fortgeschritteneren Analytischen Chemie zusammengefasst und anhand ausgewählter Beispiele erläutert: Mit der Untersuchung von Molekülen befassen sich Massenspektrometrie und Kernresonanzspektroskopie, zudem werden zahlreiche elektroanalytische Methoden wie Potentiometrie, Coulometrie, Amperometrie und Voltammetrie behandelt. In einem Überblick über speziellere Verfahren der Analytik geht es unter anderem ebenso um den Einsatz radioaktiver Substanzen und die Nutzung verschiedener Fluoreszenzverfahren wie um Methoden der Informationsgewinnung in der zunehmend wichtigen elektrochemischen und optischen Sensortechnik sowie deren Automatisierbarkeit. Den Abschluss bildet eine Zusammenfassung verschiedener Prinzipien und Anwendungsmethoden der Statistik, die im Rahmen der Analytik schlichtweg unverzichtbar sind. Um das selbstständige Lernen zu erleichtern, wird dabei in allen Teilen des Buches immer wieder auf essenzielle Abschnitte und Abbildungen des Lehrbuches verwiesen.Nicht zuletzt aufgrund der zahlreichen Beispiele führt das Buch, das sich an Studierende der Chemie oder verwandter naturwissenschaftlicher Fächer richtet, leicht nachvollziehbar auch in komplexere Aspekte der Analytischen Chemie ein. Dabei wird in direkter Fortführung des Arbeitsbuches Analytische Chemie I immer wieder auf bereits bekannte Grundlagen aus anderen Lehrveranstaltungen verwiesen, die das Verknüpfen von Vertrautem und Neuem erleichtern. Das Lernen mit diesem Arbeitsbuch ist in einem Fernstudiengang Chemie erprobt und erleichtert die Vorbereitung auf Modulprüfungen der fortgeschritteneren Analytischen Chemie.
Analytische Chemie für Dummies (Für Dummies)
by Ulf RitgenDie Analytik ist zwar ein grundlegendes Thema innerhalb der Chemie, hat es aber ganz schön in sich. Aber keine Sorge, Ulf Ritgen erklärt Ihnen in diesem Buch was Sie zur Analytischen Chemie Wissen sollten. Wie erhält man eigentlich analytische Infos? Welche Standards gibt es? Und wie sollte man überhaupt mit den Stoffgemischen umgehen? All diese Grundlagen werden ausführlich erläutert. Aber auch die Anwendungsgebiete und Methoden kommen keinesfalls zu kurz. Egal ob Gravimetrie, Titration, Fällung oder Konduktometrie, endlich wird alles verständlich erklärt. Jetzt können Prüfung und Praktikum kommen!
Analytische Chemie: Grundlagen, Methoden und Praxis
by Georg Schwedt Oliver J. Schmitz Torsten C. SchmidtAlle relevanten Aspekte der Analytischen Chemie werden in diesem Lehrbuch, das gleichzeitig auch als Referenz fur Praktiker dient, umfassend und klar auf den Punkt gebracht. Das Autorenteam wird durch zwei aktive und international bekannte Professoren verstarkt; dies sorgt fur frischen Wind, gleichzeitig wird der didaktisch ausgefeilte Stil der Vorauflagen beibehalten. Von der Analysenstrategie zur Probenvorbereitung, von der Ma?analyse uber spektroskopische und chromatographische Methoden bis zur Automatisierung - DAS Lehrbuch fur alle, die sich mit Analytischer Chemie beschaftigen.
Analytische Datenarchitekturen (IT kompakt)
by Michael SchulzLange Zeit waren Data Warehouse, Data Mart und Operational Data Store die einzigen verbreiteten Komponenten einer analytischen Datenarchitektur. Die zunehmende Verwendung komplexer Daten zur Entscheidungsunterstützung hat in den letzten Jahren Architekturkomponenten wie den Data Lake oder Möglichkeiten zur analytischen Verwendung von Stromdaten hervorgebracht. War ihr Einsatz in vielen Organisationen zunächst von Misserfolgen begleitet, haben sich mittlerweile Grundsätze etabliert, die einen sinnvollen Einsatz ermöglichen. Seit kurzem sind mit Data Lakehouse, Data Fabric und Data Mesh weitere Ansätze in der Diskussion. Durch diese Vielzahl existierender Ansätze ist der Themenkomplex unübersichtlich geworden und es wird immer schwieriger, den Überblick zu behalten. Genau darin liegt die Zielsetzung des vorliegenden Buches: Mit einem klaren Fokus auf derzeit relevante Architekturkomponenten sollen ihre Hauptmerkmale verdeutlicht werden.
Analytische Informationssysteme: Business Intelligence-Technologien und -Anwendungen
by Peter Gluchowski Peter ChamoniInformationssysteme für die analytischen Aufgaben von Fach- und Führungskräften treten verstärkt in den Vordergrund. Dieses etablierte Buch diskutiert und evaluiert Begriffe und Konzepte wie Business Intelligence und Big Data. Die aktualisierte und erweiterte fünfte Auflage liefert einen aktuellen Überblick zu Technologien, Produkten und Trends im Bereich analytischer Informationssysteme. Beiträge aus Wirtschaft und Wissenschaft geben einen umfassenden Überblick und eignen sich als fundierte Entscheidungsgrundlage beim Aufbau und Einsatz derartiger Technologien.