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A balanced, holistic approach to understanding business analytics. This book provides readers with the fundamental concepts and tools needed to understand the emerging role of business analytics in organizations. Evans also shows readers how to apply basic business analytics tools in a spreadsheet environment, and how to communicate with analytics professionals to effectively use and interpret analytic models and results for making better business decisions.

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Genre: Business planning
Author: James R. Evans
Publisher:
Release: 2013
File: 665 Pages
ISBN-13: 0133051714

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This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content, which is especially relevant to students outside the United States. For undergraduate or graduate business students. A balanced and holistic approach to business analytics Business Analytics teaches the fundamental concepts of modern business analytics and provides vital tools in understanding how data analysis works in today's organizations. Author James Evans takes a fair and comprehensive, approach, examining business analytics from both descriptive and predictive perspectives. Students learn how to apply basic principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. And included access to commercial grade analytics software gives students real-world experience and career-focused value. As such, the 3rd Edition has gone through an extensive revision and now relies solely on Excel, enhancing students' skills in the program and basic understanding of fundamental concepts. Additionally, Analytic Solver can now be found in online supplements to accommodate any new software updates, so students are prepared to use these same tools when they graduate. Pearson MyLab Statistics not included. Students, if Pearson MyLab Statistics a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. Reach every student by pairing this text with Pearson MyLab Statistics MyLab(tm) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.

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Genre:
Author: JAMES R. EVANS
Publisher:
Release: 1920-07
File: 704 Pages
ISBN-13: 1292339063

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"While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!"—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results Deliver the right decision support to the right people at the right time Filled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions. Take a look inside and find: Proven guidance on developing an information strategy Tips for supporting your company's ability to innovate in the future by using analytics Practical insights for planning and implementing BA How to use information as a strategic asset Why BA is the next stepping-stone for companies in the information age today Discussion on BA's ever-increasing role Improve your business's decision making. Align your business processes with your business's objectives. Drive your company into a prosperous future. Taking BA from buzzword to enormous value-maker, Business Analytics for Managers helps you do it all with workable solutions that will add tremendous value to your business.

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Genre: Business & Economics
Author: Gert Laursen
Publisher: John Wiley & Sons
Release: 2010-07-13
File: 272 Pages
ISBN-13: 9780470890615

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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.

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Genre: Business & Economics
Author: Randy Bartlett
Publisher: McGraw Hill Professional
Release: 2013-01-25
File: 256 Pages
ISBN-13: 9780071807609

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Business analytics is a set of techniques and processes that can be used to analyze data to improve business performance through fact- based decision-making. Business analytics create capabilities for companies to compete in the market effectively. However, nowadays companies use analytics as competitive strategy of the business.1 Introduction to AnalyticsAnalytics2 Business Analytics.Evolution of business analyticsScope of business analyticsImportance of business analyticsData use for analytics3 Challenges of Business AnalyticsBenefits and advantages of implementingbusiness analyticsChallenges in implementing businessanalytics in an organization4 How Business Analytics Helps CompaniesHow business analytics helps a company5Business Analytics ProcessBusiness analytics processStep 1: Defining the business needs and requirementStep 2: Explore the structured and unstructured dataStep 3: Analyze the dataStep 4: Predict what is likely to happenStep 5: Optimize to find the best solutionStep 6: Make a strategic decision and measurethe outcomeStep 7: Update the system with the results of thestrategic decision6 Types of Business AnalyticsDescriptive analyticsPredictive analyticsDiagnostic analyticsPrescriptive analyticsDecision analytics7 Business Analytics Tools for BusinessOpen-source analytics toolsRPythonApache SparkApache StormPIG and HIVECommercial analytics toolsSASTableauExcelQlikViewSplunkOther business analytical tools8 Business Analytics ApplicationsBusiness analytics applicationsFinancial analyticsHuman resource analyticsMarketing analyticsHealth care analyticsSupply-chain analyticsWeb analyticsCRM analytics9 Career in Business AnalyticsNeed for business analyticsCareers in business analyticsBusiness analytics helps companies to find the most profitable customer and allows them to justify their marketing effort, especially when the competition is very high. By using the business analytical software, the corporate world has the ability to make better decisions, and it improves with analytical skills.Decision-making process is largely dependent on business analytics in organizations and businesses. When business analytics is carried out the right way, it can help companies put the right foot forward.Business analytics is based on the data and statistical methods. It focuses on using a set of metrics to investigate the past, present, and future of an organization or a business. This book helps you to know the analytics, analytics in business, challenges, process, types, tools, and applications of analytics.

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Genre:
Author: Hiriyappa B
Publisher: Independently Published
Release: 2020
File: 52 Pages
ISBN-13: 1652287663

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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.

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Genre: Business & Economics
Author: Steven Orla Kimbrough
Publisher: CRC Press
Release: 2018-09-03
File: 308 Pages
ISBN-13: 9781315360249

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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.

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Genre: Business & Economics
Author: Amar Sahay
Publisher: Business Expert Press
Release: 2018-08-23
File: 242 Pages
ISBN-13: 9781631573323

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Technological advances in the last five years have allowed organizations to use Business Analytics to provide insights, increase understanding and it is hoped, gain the elusive 'competitive edge'. The rapid development of Business Analytics is impacting all enterprise competences profoundly and classical business professions are being redefined by a much deeper interplay between business and information systems. As computing capabilities for analysis has moved outside the IT glass-house and into the sphere of individual workers, they are no longer the exclusive domain of IT professionals but rather accessible to all employees. Complex open-source data analytics packages and client-level visualization tools deployed in desktops and laptops equip virtually any end-user with the instruments to carry out significant analytical tasks. All the while, the drive to improve 'customer experience' has heightened the demand for data involving customers, providers and entire ecosystems. In response to the proliferation of Business Analytics, a new Center and Masters of Science Program was introduced at the National University of Singapore (NUS). The Center collaborates with over 40 different external partner organizations in Asia-Pacific with which all MSBA students undertake individual projects. Business Analytics: Progress on Applications in Asia Pacific provides a useful picture of the maturity of the Business Analytics domain in Asia Pacific.

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Genre: Business & Economics
Author: Sanz Jorge L C
Publisher: World Scientific
Release: 2016-09-29
File: 884 Pages
ISBN-13: 9789813149328

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Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Winner of the 2017 Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report, and analyze business data Describes how to use and apply business analytics software

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Genre: Business & Economics
Author: Jonathan P. Pinder
Publisher: Academic Press
Release: 2016-09-03
File: 448 Pages
ISBN-13: 9780128104866

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Learn everything you need to know to start using business analytics and integrating it throughout your organization. Business Analytics Principles, Concepts, and Applications with SAS brings together a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. They offer a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, this text demonstrates the use of SAS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. Business Analytics Principles, Concepts, and Applications with SAS will be a valuable resource for all beginning-to-intermediate level business analysts and business analytics managers; for MBA/Masters' degree students in the field; and for advanced undergraduates majoring in statistics, applied mathematics, or engineering/operations research.

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Genre: Computers
Author: Marc J. Schniederjans
Publisher: Pearson Education
Release: 2014-09-12
File: 99998 Pages
ISBN-13: 9780133989571

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