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This innovative new textbook, co-authored by an established academic and a leading practitioner, is the first to bring together issues of cloud computing, business intelligence and big data analytics in order to explore how organisations use cloud technology to analyse data and make decisions. In addition to offering an up-to-date exploration of key issues relating to data privacy and ethics, information governance, and the future of analytics, the text describes the options available in deploying analytic solutions to the cloud and draws on real-world, international examples from companies such as Rolls Royce, Lego, Volkswagen and Samsung. Combining academic and practitioner perspectives that are crucial to the understanding of this growing field, Business Analytics acts an ideal core text for undergraduate, postgraduate and MBA modules on Big Data, Business and Data Analytics, and Business Intelligence, as well as functioning as a supplementary text for modules in Marketing Analytics. The book is also an invaluable resource for practitioners and will quickly enable the next generation of 'Information Builders' within organisations to understand innovative cloud based-analytic solutions.

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Genre:
Author: A CONTEMPORARY APPROACH
Publisher: Macmillan International Higher Education
Release:
File: Pages
ISBN-13: 9781137610614

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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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Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 4E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R and JMP Pro to solve more advanced analytics concepts. As instructor, you have the flexibility to choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time, while providing students with critical practice. This edition covers topics beyond the traditional quantitative concepts, such as data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable digital course solutions offer an interactive eBook, auto-graded exercises from the printed book, algorithmic practice problems with solutions and Exploring Analytics visualizations to strengthen students' understanding of course concepts.

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Genre: Business & Economics
Author: Jeffrey D. Camm
Publisher: Cengage AU
Release: 2020-03-10
File: 816 Pages
ISBN-13: 9780357131787

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Discover the breakthrough tool your company can use to make winning decisions This forward-thinking book addresses the emergence of predictive business analytics, how it can help redefine the way your organization operates, and many of the misconceptions that impede the adoption of this new management capability. Filled with case examples, Predictive Business Analytics defines ways in which specific industries have applied these techniques and tools and how predictive business analytics can complement other financial applications such as budgeting, forecasting, and performance reporting. Examines how predictive business analytics can help your organization understand its various drivers of performance, their relationship to future outcomes, and improve managerial decision-making Looks at how to develop new insights and understand business performance based on extensive use of data, statistical and quantitative analysis, and explanatory and predictive modeling Written for senior financial professionals, as well as general and divisional senior management Visionary and effective, Predictive Business Analytics reveals how you can use your business's skills, technologies, tools, and processes for continuous analysis of past business performance to gain forward-looking insight and drive business decisions and actions.

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Genre: Business & Economics
Author: Lawrence Maisel
Publisher: John Wiley & Sons
Release: 2013-10-07
File: 272 Pages
ISBN-13: 9781118175569

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This book provides a guide to businesses on how to use analytics to help drive from ideas to execution. Analytics used in this way provides “full lifecycle support” for business and helps during all stages of management decision-making and execution. The framework presented in the book enables the effective interplay of business, analytics, and information technology (business intelligence) both to leverage analytics for competitive advantage and to embed the use of business analytics into the business culture. It lays out an approach for analytics, describes the processes used, and provides guidance on how to scale analytics and how to develop analytics teams. It provides tools to improve analytics in a broad range of business situations, regardless of the level of maturity and the degree of executive sponsorship provided. As a guide for practitioners and managers, the book will benefit people who work in analytics teams, the managers and leaders who manage, use and sponsor analytics, and those who work with and support business analytics teams.

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Genre: Business & Economics
Author: Rahul Saxena
Publisher: Springer Science & Business Media
Release: 2012-12-05
File: 164 Pages
ISBN-13: 9781461460800

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The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book will motivate the need for data and data-driven solutions, using real data from real business scenarios. It will allow managers to better interact with personnel specializing in analytics by exposing managers and decision makers to the key ideas and concepts of data-driven decision making. Business Analytics for Managers conveys ideas and concepts from both statistics and data mining with the goal of extracting knowledge from real business data and actionable insight for managers. Throughout, emphasis placed on conveying data-driven thinking. While the ideas discussed in this book can be implemented using many different software solutions from many different vendors, it also provides a quick-start to one of the most powerful software solutions available. The main goals of this book are as follows: to excite managers and decision makers about the potential that resides in data and the value that data analytics can add to business processes and provide managers with a basic understanding of the main concepts of data analytics and a common language to convey data-driven decision problems so they can better communicate with personnel specializing in data mining or statistics.

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Genre: Business & Economics
Author: Wolfgang Jank
Publisher: Springer Science & Business Media
Release: 2011-09-08
File: 189 Pages
ISBN-13: 1461404061

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Plain English guidance for strategic business analytics and bigdata implementation In today's challenging economy, business analytics and big datahave become more and more ubiquitous. While some businesses don'teven know where to start, others are struggling to move from beyondbasic reporting. In some instances management and executives do notsee the value of analytics or have a clear understanding ofbusiness analytics vision mandate and benefits. Win withAdvanced Analytics focuses on integrating multiple types ofintelligence, such as web analytics, customer feedback, competitiveintelligence, customer behavior, and industry intelligence intoyour business practice. Provides the essential concept and framework to implementbusiness analytics Written clearly for a nontechnical audience Filled with case studies across a variety of industries Uniquely focuses on integrating multiple types of big dataintelligence into your business Companies now operate on a global scale and are inundated with alarge volume of data from multiple locations and sources: B2B data,B2C data, traffic data, transactional data, third party vendordata, macroeconomic data, etc. Packed with case studies frommultiple countries across a variety of industries, Win withAdvanced Analytics provides a comprehensive framework andapplications of how to leverage business analytics/big data tooutpace the competition.

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Genre: Business & Economics
Author: Jean-Paul Isson
Publisher: John Wiley & Sons
Release: 2012-09-25
File: 416 Pages
ISBN-13: 9781118417089

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Business professionals who want to advance their careers need to have a strong understanding of how to utilize business intelligence. This new book provides a comprehensive introduction to the basic business and technical concepts they’ll need to know. It integrates case studies that demonstrate how to apply the material. Business professionals will also find suggested further readings that will develop their knowledge and help them succeed.

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Genre: Business & Economics
Author: Rajiv Sabherwal
Publisher: John Wiley & Sons
Release: 2011
File: 295 Pages
ISBN-13: 9780470461709

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Genre:
Author: Richard Vidgen
Publisher: Red Globe Press
Release:
File: Pages
ISBN-13: 9781352007268

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This book provides a first-hand account of business analytics and its implementation, and an account of the brief theoretical framework underpinning each component of business analytics. The themes of the book include (1) learning the contours and boundaries of business analytics which are in scope; (2) understanding the organization design aspects of an analytical organization; (3) providing knowledge on the domain focus of developing business activities for financial impact in functional analysis; and (4) deriving a whole gamut of business use cases in a variety of situations to apply the techniques. The book gives a complete, insightful understanding of developing and implementing analytical solution.

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Genre: Business & Economics
Author: Dinabandhu Bag
Publisher: Routledge
Release: 2016-11-10
File: 230 Pages
ISBN-13: 9781315464671

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