Business Analytics: Data Analysis & Decision Making

Author: S. Christian Albright,Wayne L. Winston

Publisher: Cengage Learning

ISBN: 1305947541

Category: Business & Economics

Page: 984

View: 3426

Master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, user-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, include increased emphasis on the tools commonly included under the Business Analytics umbrella -- including Microsoft Excel’s “Power BI” suite. In addition, up-to-date problem sets and cases provide realistic examples to show the relevance of the material. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Data Analysis and Decision Making

Author: S. Albright,Wayne Winston,Christopher Zappe

Publisher: Cengage Learning

ISBN: 0538476125

Category: Business & Economics

Page: 1080

View: 660

DATA ANALYSIS AND DECISION MAKING emphasizes data analysis, modeling, and spreadsheet use in statistics and management science. This text became a market leader in its first edition for its clarity of writing and teach-by-example approach, and it continues that tradition in this edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

A PRACTITIONER'S GUIDE TO BUSINESS ANALYTICS: Using Data Analysis Tools to Improve Your Organization’s Decision Making and Strategy

Author: Randy Bartlett

Publisher: McGraw Hill Professional

ISBN: 0071807608

Category: Business & Economics

Page: 256

View: 1523

Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice.

Data Analysis and Decision Making with Microsoft Excel

Author: S. Christian Albright,Wayne L. Winston,Christopher Zappe,Christopher James Zappe

Publisher: Duxbury Resource Center

ISBN: 9780534261245

Category: Business & Economics

Page: 996

View: 3533

In response to the growing market trend in quantitative education, Albright, Winston, and Zappe's integrated business-statistics and management-science book presents core statistics and management-science book presents core statistics and management-science methods in a modern, unified spreadsheet-oriented approach. With a focus on applications, not on mathematical techniques, the book covers business statistics with some essential management-science topics included. The example-based, Excel spreadsheet approach is useful in courses that combine traditional statistics and management-science topics, though it can be easily used for a one-term business statistics only course. The modeling and application focus, together with the Excel spreadsheet add-ins, provides a complete learning source for both students and practicing managers.

Practical Management Science

Author: Wayne L. Winston,S. Christian Albright

Publisher: Nelson Education

ISBN: N.A

Category: Business & Economics

Page: 888

View: 6653

Geared entirely to Excel 2013, PRACTICAL MANAGEMENT SCIENCE, 5e helps students understand and take full advantage of the power of spreadsheet modeling. It integrates modeling into all functional areas of business--finance, marketing, operations management--using real examples and real data. Emphasizing applied, relevant learning, the text presents just the right amount of theory to ensure students understand the foundation of the topic, followed by exercises that give them practical, hands-on experience with the methodologies. It focuses on modeling over algebraic formulations and memorization of particular models. The Fifth Edition includes the latest changes in the accompanying @RISK and PrecisionTree add-ins, incorporates BigPicture diagrams of spreadsheet models into the optimization chapters, and provides new and updated cases throughout. The online Chapter 16: Multiobjective Decision Making is now more conceptual, while Chapter 9: Decision Making Under Uncertainty extends a single new product decisions example throughout the chapter. In addition almost 30 new tutorial videos explain concepts and work through examples. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Business Analytics for Decision Making

Author: Steven Orla Kimbrough,Hoong Chuin Lau

Publisher: CRC Press

ISBN: 1315360241

Category: Business & Economics

Page: 308

View: 1389

Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.

Die Berechnung der Zukunft

Warum die meisten Prognosen falsch sind und manche trotzdem zutreffen - Der New York Times Bestseller

Author: Nate Silver

Publisher: Heyne Verlag

ISBN: 3641112702

Category: Business & Economics

Page: 656

View: 5971

Zuverlässige Vorhersagen sind doch möglich! Nate Silver ist der heimliche Gewinner der amerikanischen Präsidentschaftswahlen 2012: ein begnadeter Statistiker, als »Prognose-Popstar« und »Wundernerd« weltberühmt geworden. Er hat die Wahlergebnisse aller 50 amerikanischen Bundesstaaten absolut exakt vorausgesagt – doch damit nicht genug: Jetzt zeigt Nate Silver, wie seine Prognosen in Zukunft Terroranschläge, Umweltkatastrophen und Finanzkrisen verhindern sollen. Gelingt ihm die Abschaffung des Zufalls? Warum werden Wettervorhersagen immer besser, während die Terrorattacken vom 11.09.2001 niemand kommen sah? Warum erkennen Ökonomen eine globale Finanzkrise nicht einmal dann, wenn diese bereits begonnen hat? Das Problem ist nicht der Mangel an Informationen, sondern dass wir die verfügbaren Daten nicht richtig deuten. Zuverlässige Prognosen aber würden uns helfen, Zufälle und Ungewissheiten abzuwehren und unser Schicksal selbst zu bestimmen. Nate Silver zeigt, dass und wie das geht. Erstmals wendet er seine Wahrscheinlichkeitsrechnung nicht nur auf Wahlprognosen an, sondern auf die großen Probleme unserer Zeit: die Finanzmärkte, Ratingagenturen, Epidemien, Erdbeben, den Klimawandel, den Terrorismus. In all diesen Fällen gibt es zahlreiche Prognosen von Experten, die er überprüft – und erklärt, warum sie meist falsch sind. Gleichzeitig schildert er, wie es gelingen kann, im Rauschen der Daten die wesentlichen Informationen herauszufiltern. Ein unterhaltsamer und spannender Augenöffner!

Die Macht der Gewohnheit: Warum wir tun, was wir tun

Author: Charles Duhigg

Publisher: ebook Berlin Verlag

ISBN: 3827070740

Category: History

Page: 416

View: 6477

Seit kurzem versuchen Hirnforscher, Verhaltenspsychologen und Soziologen gemeinsam neue Antworten auf eine uralte Frage zu finden: Warum tun wir eigentlich, was wir tun? Was genau prägt unsere Gewohnheiten? Anhand zahlreicher Beispiele aus der Forschung wie dem Alltag erzählt Charles Duhigg von der Macht der Routine und kommt dem Mechanismus, aber auch den dunklen Seiten der Gewohnheit auf die Spur. Er erklärt, warum einige Menschen es schaffen, über Nacht mit dem Rauchen aufzuhören (und andere nicht), weshalb das Geheimnis sportlicher Höchstleistung in antrainierten Automatismen liegt und wie sich die Anonymen Alkoholiker die Macht der Gewohnheit zunutze machen. Nicht zuletzt schildert er, wie Konzerne Millionen ausgeben, um unsere Angewohnheiten für ihre Zwecke zu manipulieren. Am Ende wird eines klar: Die Macht von Gewohnheiten prägt unser Leben weit mehr, als wir es ahnen.

Work Rules!

Wie Google die Art und Weise, wie wir leben und arbeiten, verändert

Author: Laszlo Bock

Publisher: Vahlen

ISBN: 3800650940

Category: Business & Economics

Page: 370

View: 6432

Die Arbeitswelt ändert sich. Sind Sie bereit dafür? Warum Sie ausschließlich Leute einstellen sollten, die besser sind als Sie. Was Sie von Ihren besten und schwächsten Mitarbeitern lernen können. Warum Sie den Managern Macht entziehen sollten. Weshalb Sie Entwicklung nicht mit Leistungsmanagement verwechseln dürfen. Warum Sie unfair entlohnen sollten. „Google schreibt an unserer Kulturgeschichte. Work Rules zeigt mit verblüffender Offenheit, wie eines der innovativsten Biotope funktioniert. Auf Basis einer nicht hintergehbaren Mission präsentiert Laszlo Bock ein experimentelles und evidenzbasiertes People Management. Am Ende sehen wir einige unverrückbare Regeln, aber vor allem eine Fülle über die Eigenverantwortung des Einzelnen herausreichenden Gestaltungsmöglichkeiten. Hierauf kann und muss nun jeder selbst aufsetzen.“ Prof. Dr. Jürgen Weibler, Autor des Standardwerkes „Personalführung“ „Wer verbringen die meiste Zeit unseres Lebens am Arbeitsplatz. Es kann deshalb nicht richtig sein, wenn hier unsere Erfahrungen von Demotivation, Unfreundlichkeit und Menschenverachtung geprägt sind“, sagt Laszlo Bock. Damit beschreibt er den Kern seines Buches „Work Rules!“, ein fesselndes Manifest mit dem Potenzial, die Art und Weise, wie wir arbeiten, zu verändern. Google gehört zu den attraktivsten Arbeitgebern weltweit und erhält jährlich etwa zwei Millionen Bewerbungen für wenige Tausend offener Stellen. Was macht Google so attraktiv? Die Personalauswahl ist härter als an den Universitäten Harvard, Yale oder Princeton, und doch zieht das Unternehmen die talentiertesten Menschen an. Warum bekommen einige Mitarbeiter bestimmte Sozialleistungen, andere aber wiederum nicht? Warum verbringt das Unternehmen so viel Zeit mit der Einstellung eines Mitarbeiters? Und stimmt es, dass die Mitarbeiter mit 20 % ihrer Arbeitszeit tun können, was sie wollen? Work Rules! zeigt, wie eine Balance zwischen Kreativität und Struktur in Organisationen hergestellt werden kann, die zu nachweisbarem Erfolg führt – und zwar in der Lebensqualität der Mitarbeiter und den Marktanteilen des Unternehmens. Das Erfolgsgeheimnis von Google im Umgang mit seinen Mitarbeitern lässt sich kopieren – in großen wie in kleinen Organisationen, von einzelnen Mitarbeitern wie von Managern. Nicht in jeder Firma ist es möglich, Vergünstigungen wie kostenlose Mahlzeiten zu gewähren, aber buchstäblich jeder kann nachmachen, was Google ganz besonders auszeichnet. Laszlo Bock leitet das Personalressort bei Google, einschließlich aller Bereiche, die mit der Anwerbung, Entwicklung und Mitarbeiterbindung zu tun haben, von denen es weltweit über 50.000 an mehr als 70 Standorten gibt. Während seiner Zeit bei Google wurde das Unternehmen über 100 Mal zum herausragenden Arbeitgeber erklärt, darunter auch die Auszeichnung als „#1 Best Company to Work for“ in den USA, Argentinien, Australien, Brasilien, Kanada, Frankreich, Indien, Irland, Italien, Japan, Korea, Mexiko, den Niederlanden, Polen, Russland, der Schweiz und Großbritannien. 2010 wurde er vom Magazin Human Resource Executive als „Human Resources Executive of the Year“ ausgezeichnet. 2014 gelangte Laszlo als einziger HR-Executive auf der Liste der „zehn einflussreichsten Menschen im Bereich HR“ des Jahrzehnts.

Business Analytics, Volume I

A Data-Driven Decision Making Approach for Business

Author: Amar Sahay

Publisher: Business Expert Press

ISBN: 1631573322

Category: Business & Economics

Page: 242

View: 663

Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: (1) descriptive, (2) predictive, and (3) prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics-numerical methods; Case analysis with computer applications.

Encyclopedia of Business Analytics and Optimization

Author: Wang, John

Publisher: IGI Global

ISBN: 1466652039

Category: Business & Economics

Page: 2754

View: 7818

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.

Real-World Data Mining

Applied Business Analytics and Decision Making

Author: Dursun Delen

Publisher: FT Press

ISBN: 0133551113

Category: Computers

Page: 288

View: 2977

Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.

Data Driven Decision Making for Small Businesses

Unleashing the Power of Information to Drive Business Growth

Author: Tracey Smith

Publisher: Numerical Insights LLC

ISBN: 1470187450

Category: Business & Economics

Page: 114

View: 2173

The reader of this book need not be a mathematician. This book is intended for the business-minded individual interested in learning about the strategic advantages which can be obtained from business analytics. Small Business Trends magazine reported that, "you don't need to be a Fortune 500 company with revenue in the stratosphere to benefit from the application of business intelligence. A simple analysis of data your business may already be collecting could hold the answer." Perhaps you would like to reduce your inventory, determine product and customer profitability, gain insight into customer ordering behaviour. Perhaps you would like to know where you are spending your business dollars or how to determine if your cash flow is getting better or worse. Is your business becoming more or less efficient as it grows? Perhaps you would like to predict upcoming retirements to determine the impact of the baby boomer generation on your organization. This book will present some of the simpler approaches to data analysis and will show the value of these analyses to business. The intent is to show the reader what is possible rather than teaching the mathematical techniques. From simple to the more advanced, this book will deliver a series of analytics suitable for anyone wishing to take their business to the next level. I will present a series of real-world case studies from various functional areas, the majority of which will be conducted with every day software that most businesses already possess. The book will go on to examine the advantages and disadvantages of trying to build these capabilities in-house and will provide a realistic view of the challenges associated with analytics in the business world. Finally, I will provide some advice on data analysis and visualization tools. Specifically, I will focus on the tools that are available to the reader for prices that are in line with typical office software.

Erfolgreiches Consulting

das Berater-Handbuch

Author: Peter Block

Publisher: N.A

ISBN: 9783453155565

Category: Unternehmensberatung

Page: 316

View: 7737

Operations Research

Einführung

Author: Frederick S. Hillier,Gerald J. Liebermann

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3486792083

Category: Business & Economics

Page: 868

View: 7704

Aus dem Inhalt: Was ist Operations Research? Überblick über die Modellierungsgrundsätze des Operations Research. Einführung in die lineare Programmierung. Die Lösung linearer Programmierungsprobleme: Das Simplexverfahren. Stochastische Prozesse. Warteschlangentheorie. Lagerhaltungstheorie. Prognoseverfahren. Markov-Entscheidungsprozesse. Reliabilität. Entscheidungstheorie. Die Theorie des Simplexverfahrens Qualitätstheorie und Sensitivitätsanalyse Spezialfälle linearer Programmierungsprobleme. Die Formulierung linearer Programmierungsmodelle und Goal-Programmierung. Weitere Algorithmen der linearen Programmierung. Netzwerkanalyse einschließlich PERT-CPM. Dynamische Optimierung. Spieltheorie. Ganzzahlige Programmierung. Nichtlineare Programmierung Simulation. Anhang. Lösungen für ausgewählte Übungsaufgaben.

The Applied Business Analytics Casebook

Applications in Supply Chain Management, Operations Management, and Operations Research

Author: Matthew J. Drake

Publisher: FT Press

ISBN: 0133408698

Category: Business & Economics

Page: 280

View: 5823

The first collection of cases on “big data” analytics for supply chain, operations research, and operations management, this reference puts readers in the position of the analytics professional and decision-maker. Perfect for students, practitioners, and certification candidates in SCM, OM, and OR, these short, focused, to-the-point case studies illustrate the entire decision-making process. They provide realistic opportunities to perform analyses, interpret output, and recommend an optimal course of action. Contributed by leading “big data” experts, the cases in The Applied Business Analytics Casebook covers: Forecasting and statistical analysis: time series forecasting models, regression models, data visualization, and hypothesis testing Optimization and simulation: linear, integer, and nonlinear programming; Monte Carlo simulation and risk analysis; and stochastic optimization Decision analysis: decision making under uncertainty; expected value of perfect information; decision trees; game theory models; AHP; and multi-criteria decision making Advanced business analytics: data warehousing/mining; text mining; neural networks; financial analytics; CRM analytics; and revenue management models

Getting Started with Business Analytics

Insightful Decision-Making

Author: David Roi Hardoon,Galit Shmueli

Publisher: CRC Press

ISBN: 149875967X

Category: Business & Economics

Page: 190

View: 8188

Assuming no prior knowledge or technical skills, Getting Started with Business Analytics: Insightful Decision-Making explores the contents, capabilities, and applications of business analytics. It bridges the worlds of business and statistics and describes business analytics from a non-commercial standpoint. The authors demystify the main concepts and terminologies and give many examples of real-world applications. The first part of the book introduces business data and recent technologies that have promoted fact-based decision-making. The authors look at how business intelligence differs from business analytics. They also discuss the main components of a business analytics application and the various requirements for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data analytics. The book helps you understand the key concepts and ideas behind data mining and shows how data mining has expanded into data analytics when considering new types of data such as network and text data. The third part explores business analytics in depth, covering customer, social, and operational analytics. Each chapter in this part incorporates hands-on projects based on publicly available data. Helping you make sound decisions based on hard data, this self-contained guide provides an integrated framework for data mining in business analytics. It takes you on a journey through this data-rich world, showing you how to deploy business analytics solutions in your organization.