{"product_id":"business-analytics-for-managers-isbn-9781119298588","title":"Business Analytics for Managers","description":"\u003cb\u003eThe intensified used of data based on analytical models to control digitalized operational business processes in an intelligent way is a game changer that continuously disrupts more and more markets. This book exemplifies this development and shows the latest tools and advances in this field\u003c\/b\u003e \u003cp\u003e\u003ci\u003eBusiness Analytics for Managers\u003c\/i\u003e offers real-world guidance for organizations looking to leverage their data into a competitive advantage. This new second edition covers the advances that have revolutionized the field since the first edition's release; big data and real-time digitalized decision making have become major components of any analytics strategy, and new technologies are allowing businesses to gain even more insight from the ever-increasing influx of data. New terms, theories, and technologies are explained and discussed in terms of practical benefit, and the emphasis on forward thinking over historical data describes how analytics can drive better business planning. Coverage includes data warehousing, big data, social media, security, cloud technologies, and future trends, with expert insight on the practical aspects of the current state of the field. \u003c\/p\u003e\u003cp\u003eAnalytics helps businesses move forward. Extensive use of statistical and quantitative analysis alongside explanatory and predictive modeling facilitates fact-based decision making, and evolving technologies continue to streamline every step of the process. This book provides an essential update, and describes how today's tools make business analytics more valuable than ever.   \u003c\/p\u003e\u003cul\u003e \u003cli\u003eLearn how Hadoop can upgrade your data processing and storage\u003c\/li\u003e \u003cli\u003eDiscover the many uses for social media data in analysis and communication\u003c\/li\u003e \u003cli\u003eGet up to speed on the latest in cloud technologies, data security, and more\u003c\/li\u003e \u003cli\u003ePrepare for emerging technologies and the future of business analytics\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eMost businesses are caught in a massive, non-stop stream of data. It can become one of your most valuable assets, or a never-ending flood of missed opportunity. Technology moves fast, and keeping up with the cutting edge is crucial for wringing even more value from your data—\u003ci\u003eBusiness Analytics for Managers\u003c\/i\u003e brings you up to date, and shows you what analytics can do for you now. \u003c\/p\u003e\u003cp\u003eForeword xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eIntroduction xiii\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is the Scope of Business Analytics? Information Systems—Not Technical Solutions xvii\u003c\/p\u003e \u003cp\u003ePurpose and Audience xix\u003c\/p\u003e \u003cp\u003eOrganization of Chapters xxiii\u003c\/p\u003e \u003cp\u003eWhy the Term \u003ci\u003eBusiness Analytics? \u003c\/i\u003exxiv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 The Business Analytics Model 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview of the Business Analytics Model 2\u003c\/p\u003e \u003cp\u003eStrategy Creation 4\u003c\/p\u003e \u003cp\u003eBusiness Processes and Information Use 4\u003c\/p\u003e \u003cp\u003eTypes of Reporting and Analytical Processes 5\u003c\/p\u003e \u003cp\u003eData Warehouse 5\u003c\/p\u003e \u003cp\u003eData Sources: IT Operations and Development 5\u003c\/p\u003e \u003cp\u003eDeployment of the Business Analytics Model 6\u003c\/p\u003e \u003cp\u003eCase Study: How to Make an Information Strategy for a Radio Station 6\u003c\/p\u003e \u003cp\u003eSummary 13\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Business Analytics at the Strategic Level 17\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eLink between Strategy and the Deployment of Business Analytics 19\u003c\/p\u003e \u003cp\u003eStrategy and Business Analytics: Four Scenarios 20\u003c\/p\u003e \u003cp\u003eScenario 1: No Formal Link between Strategy and Business Analytics 22\u003c\/p\u003e \u003cp\u003eScenario 2: Business Analytics Supports Strategy at a Functional Level 24\u003c\/p\u003e \u003cp\u003eScenario 3: Dialogue between the Strategy and the Business Analytics Functions 28\u003c\/p\u003e \u003cp\u003eScenario 4: Information as a Strategic Resource 30\u003c\/p\u003e \u003cp\u003eWhich Information Do We Prioritize? 32\u003c\/p\u003e \u003cp\u003eThe Product and Innovation Perspective 34\u003c\/p\u003e \u003cp\u003eCustomer Relations Perspective 38\u003c\/p\u003e \u003cp\u003eThe Operational Excellence Perspective 42\u003c\/p\u003e \u003cp\u003eSummary 44\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Development and Deployment of Information at the Functional Level 47\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eCase Study: A Trip to the Summerhouse 50\u003c\/p\u003e \u003cp\u003eSpecification of Requirements 51\u003c\/p\u003e \u003cp\u003eTechnical Support 52\u003c\/p\u003e \u003cp\u003eOff We Go to the Summerhouse 53\u003c\/p\u003e \u003cp\u003eLead and Lag Information 54\u003c\/p\u003e \u003cp\u003eMore about Lead and Lag Information 57\u003c\/p\u003e \u003cp\u003eEstablishing Business Processes with the Rockart Model 59\u003c\/p\u003e \u003cp\u003eExample: Establishing New Business Processes with the Rockart Model 61\u003c\/p\u003e \u003cp\u003eLevel 1: Identifying the Objectives 62\u003c\/p\u003e \u003cp\u003eLevel 2: Identifying an Operational Strategy 62\u003c\/p\u003e \u003cp\u003eLevel 3: Identifying the Critical Success Factors 64\u003c\/p\u003e \u003cp\u003eLevel 4: Identifying Lead and Lag Information 66\u003c\/p\u003e \u003cp\u003eOptimizing Existing Business Processes 72\u003c\/p\u003e \u003cp\u003eExample: Deploying Performance Management to Optimize Existing Processes 73\u003c\/p\u003e \u003cp\u003eConcept of Performance Management 74\u003c\/p\u003e \u003cp\u003eWhich Process Should We Start With? 78\u003c\/p\u003e \u003cp\u003eCustomer Relationship Management Activities 80\u003c\/p\u003e \u003cp\u003eCampaign Management 84\u003c\/p\u003e \u003cp\u003eProduct Development 85\u003c\/p\u003e \u003cp\u003eWeb Log Analyses 86\u003c\/p\u003e \u003cp\u003ePricing 89\u003c\/p\u003e \u003cp\u003eHuman Resource Development 91\u003c\/p\u003e \u003cp\u003eCorporate Performance Management 93\u003c\/p\u003e \u003cp\u003eFinance 94\u003c\/p\u003e \u003cp\u003eInventory Management 95\u003c\/p\u003e \u003cp\u003eSupply Chain Management 95\u003c\/p\u003e \u003cp\u003eLean 97\u003c\/p\u003e \u003cp\u003eA Catalogue of Ideas with Key Performance Indicators for the Company’s Different Functions 99\u003c\/p\u003e \u003cp\u003eSummary 101\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Business Analytics at the Analytical Level 103\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData, Information, and Knowledge 106\u003c\/p\u003e \u003cp\u003eAnalyst’s Role in the Business Analytics Model 107\u003c\/p\u003e \u003cp\u003eThree Requirements the Analyst Must Meet 109\u003c\/p\u003e \u003cp\u003eBusiness Competencies 110\u003c\/p\u003e \u003cp\u003eTool Kit Must Be in Order (Method Competencies) 111\u003c\/p\u003e \u003cp\u003eTechnical Understanding (Data Competencies) 112\u003c\/p\u003e \u003cp\u003eRequired Competencies for the Analyst 113\u003c\/p\u003e \u003cp\u003eAnalytical Methods (Information Domains) 113\u003c\/p\u003e \u003cp\u003eHow to Select the Analytical Method 114\u003c\/p\u003e \u003cp\u003eThe Three Imperatives 116\u003c\/p\u003e \u003cp\u003eDescriptive Statistical Methods, Lists, and Reports 122\u003c\/p\u003e \u003cp\u003eHypothesis-Driven Methods 129\u003c\/p\u003e \u003cp\u003eTests with Several Input Variables 130\u003c\/p\u003e \u003cp\u003eData Mining with Target Variables 133\u003c\/p\u003e \u003cp\u003eData Mining Algorithms 139\u003c\/p\u003e \u003cp\u003eExplorative Methods 140\u003c\/p\u003e \u003cp\u003eData Reduction 141\u003c\/p\u003e \u003cp\u003eCluster Analysis 141\u003c\/p\u003e \u003cp\u003eCross-Sell Models 142\u003c\/p\u003e \u003cp\u003eUp-Sell Models 143\u003c\/p\u003e \u003cp\u003eBusiness Requirements 143\u003c\/p\u003e \u003cp\u003eDefinition of the Overall Problem 144\u003c\/p\u003e \u003cp\u003eDefinition of Delivery 144\u003c\/p\u003e \u003cp\u003eDefinition of Content 145\u003c\/p\u003e \u003cp\u003eSummary 147\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Business Analytics at the Data Warehouse Level 149\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhy a Data Warehouse? 151\u003c\/p\u003e \u003cp\u003eArchitecture and Processes in a Data Warehouse 154\u003c\/p\u003e \u003cp\u003eSelection of Certain Columns To Be Loaded 156\u003c\/p\u003e \u003cp\u003eStaging Area and Operational Data Stores 158\u003c\/p\u003e \u003cp\u003eCauses and Effects of Poor Data Quality 159\u003c\/p\u003e \u003cp\u003eThe Data Warehouse: Functions, Components, and Examples 162\u003c\/p\u003e \u003cp\u003eAlternative Ways of Storing Data 170\u003c\/p\u003e \u003cp\u003eBusiness Analytics Portal: Functions and Examples 171\u003c\/p\u003e \u003cp\u003eTips and Techniques in Data Warehousing 175\u003c\/p\u003e \u003cp\u003eMaster Data Management 175\u003c\/p\u003e \u003cp\u003eService-Oriented Architecture 176\u003c\/p\u003e \u003cp\u003eHow Should Data Be Accessed? 177\u003c\/p\u003e \u003cp\u003eAccess to Business Analytics Portals 178\u003c\/p\u003e \u003cp\u003eAccess to Data Mart Areas 180\u003c\/p\u003e \u003cp\u003eAccess to Data Warehouse Areas 181\u003c\/p\u003e \u003cp\u003eAccess to Source Systems 182\u003c\/p\u003e \u003cp\u003eSummary 183\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 The Company’s Collection of Source Data 185\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat are Source Systems, and What Can They Be Used For? 187\u003c\/p\u003e \u003cp\u003eWhich Information is Best to Use for Which Task? 192\u003c\/p\u003e \u003cp\u003eWhen There is More Than One Way to Get the Job Done 194\u003c\/p\u003e \u003cp\u003eWhen the Quality of Source Data Fails 197\u003c\/p\u003e \u003cp\u003eSummary 198\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Structuring of a Business Analytics Competency Center 199\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eWhat is a Business Analytics Competency Center? 201\u003c\/p\u003e \u003cp\u003eWhy Set Up a Business Analytics Competency Center? 202\u003c\/p\u003e \u003cp\u003eTasks and Competencies 203\u003c\/p\u003e \u003cp\u003eEstablishing an Information Wheel 203\u003c\/p\u003e \u003cp\u003eCreating Synergies between Information Wheels 205\u003c\/p\u003e \u003cp\u003eEducating Users 207\u003c\/p\u003e \u003cp\u003ePrioritizing New Business Analytics Initiatives 208\u003c\/p\u003e \u003cp\u003eCompetencies 208\u003c\/p\u003e \u003cp\u003eCentralized or Decentralized Organization 208\u003c\/p\u003e \u003cp\u003eStrategy and Performance 210\u003c\/p\u003e \u003cp\u003eWhen the Analysts Report to the IT Department 213\u003c\/p\u003e \u003cp\u003eWhen Should a Business Analytics Competency Center Be Established? 215\u003c\/p\u003e \u003cp\u003eApplying the Analytical Factory Approach 217\u003c\/p\u003e \u003cp\u003eSummary 219\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Assessment and Prioritization of Business Analytics Projects 221\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIs It a Strategic Project or Not? 222\u003c\/p\u003e \u003cp\u003eUncovering the Value Creation of the Project 224\u003c\/p\u003e \u003cp\u003eWhen Projects Run Over Several Years 230\u003c\/p\u003e \u003cp\u003eWhen the Uncertainty is Too Big 232\u003c\/p\u003e \u003cp\u003eThe Descriptive Part of the Cost\/Benefit Analysis for the Business Case 233\u003c\/p\u003e \u003cp\u003eThe Cost\/Benefit Analysis Used for the Business Case 235\u003c\/p\u003e \u003cp\u003eProjects as Part of the Bigger Picture 235\u003c\/p\u003e \u003cp\u003eCase Study on How to Make an Information Strategy Roadmap 240\u003c\/p\u003e \u003cp\u003eSummary 243\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 Business Analytics in the Future 247\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAbout the Authors 255\u003c\/p\u003e \u003cp\u003eIndex 257\u003c\/p\u003e \u003cp\u003e\u003cb\u003eGERT H. N. LAURSEN \u003c\/b\u003eis a business consultant who builds analytical organizations around the world. He also builds disruptive business strategies for global market leaders and humanitarian organizations. He has an MBA in digital strategy, a master’s degree in marketing, and was named a global thought leader by IBM and SAS Institute.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJESPER THORLUND\u003c\/b\u003e is a business intelligence consultant and frequent speaker on business intelligence, business analytics, and microeconomics throughout Europe.  \u003c\/p\u003e\u003cp\u003eBig data. Cloud technology. Hadoop. These are all game-changing advances in technology with disruptive potential if a company has the business analytics (BA) systems to maximize their potential. What are you doing with your data? How are your people prepared to make better decisions using it? \u003ci\u003eBusiness Analytics for Managers\u003c\/i\u003e brings you up to speed on the latest advances and applications of a dependable framework for using information generated around the clock in business to skyrocket corporate performance.\u003c\/p\u003e \u003cp\u003eThis \u003ci\u003eSecond Edition\u003c\/i\u003e updates its widely successful approach to getting timely decision support to the right people and expands it to also include the right \u003ci\u003edigital processes\u003c\/i\u003e. Tremendous advances in technology have allowed BA to make inroads into automated and digitalized processes, omni-channel marketing, and even predictive automation and robotic workers. Failure to create or update a BA architecture in a company today means the difference between treading water and getting ahead. The easy-to-use framework inside enables you to align an organization’s overall strategy with the most insightful data for data-based decision-making—then it gives you a superior competitive advantage by opening the door to highly personalized and predictive applications, including optimizing individual human behavior. Brilliantly organized to be read cover to cover for a full primer and setup of a new business analytics system and then kept as an authoritative reference, this is a must-have for everyone in a business-focused role who wants to establish or contribute to BA. It provides: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eA versatile business analytics model featuring a single common frame of reference for goals and ways of reaching them\u003c\/li\u003e \u003cli\u003eA seamless approach to integrating data into a company’s value chain with maximum benefit\u003c\/li\u003e \u003cli\u003ePractical strategies for accurately assessing and prioritizing business analytics projects\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eUse your BA to step out of the present and operate in the future with the powerful framework and skillset in \u003ci\u003eBusiness Analytics for Managers, Second Edition.\u003c\/i\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988870185189,"sku":"NP9781119298588","price":52.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119298588.jpg?v=1761781851","url":"https:\/\/k12savings.com\/products\/business-analytics-for-managers-isbn-9781119298588","provider":"K12savings","version":"1.0","type":"link"}