Recenze Making the Case for SAP HANA. Business Cases for SAP HANA

Introduction ... 15§§1 ... Big Data: More than Just Performance ... 23§§1.1 ... What Does Big Data Mean? ... 25§§1.2 ... How Do Benefits from Big Data Come About? ... 41§§1.3 ... Where Are Benefits from Big Data to Be Found? ... 48§§1.4 ... How Benefits Turn Into Shareholder Value ... 58§§1.5 ... Evaluating Business Cases ... 74§§2 ... SAP HANA: Capabilities and Limitations ... 87§§2.1 ... Big Data and SAP HANA ... 90§§2.2 ... Implementation Scenarios for SAP HANA ... 143§§2.3 ... Trends and Future Developments ... 164§§3 ... SAP HANA in Specific Industries and Business Processes ... 173§§3.1 ... Creating Shareholder Value with SAP HANA ... 178§§3.2 ... SAP HANA in Different Industries ... 181§§3.3 ... SAP HANA in (SAP's) Business Processes ... 196§§3.4 ... The Case Studies in this Book ... 200§§4 ... Flexible Planning ... 203§§4.1 ... What Does 'Planning' Mean? ... 205§§4.2 ... Scenario: Sales and Results Planning with a Multinational Tire Manufacturer ... 208§§4.3 ... Planning Errors: Costs, Risks, and Opportunities ... 217§§4.4 ... Solution: Monitoring Forecasts and Models in Real Time ... 229§§4.5 ... Implementation Scenario and Architecture with SAP HANA ... 255§§5 ... Reducing Travel Costs and Travel Times ... 279§§5.1 ... Time is Money ... 281§§5.2 ... Scenario: Travel Costs with an International Consulting Firm ... 288§§5.3 ... One-Dimensional Optimization: Costs, Risks, and Opportunities ... 292§§5.4 ... Solution: Induction Instead of Deduction ... 296§§5.5 ... Implementation Scenario and Architecture with SAP HANA ... 307§§6 ... Decision-Oriented Data Models ... 323§§6.1 ... Data Governance: Rhetoric and Reality ... 325§§6.2 ... Scenario: Determining Trade Margins in Retail ... 333§§6.3 ... Inconsistent Data Models: Costs, Risks, and Opportunities ... 334§§6.4 ... Solution: Generating Layers and Domains Automatically ... 343§§6.5 ... Implementation Scenario and Framework Architecture with SAP HANA ... 372§§7 ... Managing Customer Behavior ... 387§§7.1 ... Understand, Predict, and Manage Customer Behavior ... 389§§7.2 ... Scenario: Setting Prices in Gas Station Kiosks ... 393§§7.3 ... Static Customer Segmentation: Costs, Risks, and Opportunities ... 394§§7.4 ... Solution: Dynamic-Empirical Algorithms ... 398§§7.5 ... Implementation Scenario and Architecture with SAP HANA ... 410§§8 ... Analyzing Sensor Data Automatically and Generating Metadata ... 425§§8.1 ... Handling Sensor Data ... 430§§8.2 ... Scenario: Cooperation among Car Manufacturer, Telephone Company, and Insurance Firm ... 440§§8.3 ... Exchanging Data: Costs, Risks, and Opportunities ... 441§§8.4 ... Solution: Extracting and Managing Sensor-Specific Metadata in a Big Data Environment ... 447§§8.5 ... Implementation Scenario and Framework Architecture with SAP HANA ... 469§§9 ... Health Management as a Service ... 487§§9.1 ... Medical Sensor Data ... 489§§9.2 ... Scenario: Premium Services for the Elderly ... 494§§9.3 ... Monitoring Health: Costs, Risks, and Opportunities ... 495§§9.4 ... Solution: Big Data-Based Early Warning Systems ... 500§§9.5 ... Implementation Scenario and Framework Architecture with SAP HANA ... 508§§10 ... Detecting Fraud Automatically ... 51510.1 ... What Does Fraud Management Mean? ... 518§§10.2 ... Scenario: Theft in a Surface-Mining Operation ... 522§§10.3 ... Traditional Investigation Methods: Costs, Risks, and Opportunities ... 522§§10.4 ... Solution: Flexible Fraud Management Using a High-Performance Appliance ... 526§§10.5 ... Implementation Scenario and Data Architecture with SAP HANA ... 538§§11 ... Automating Service-Level Management ... 557§§11.1 ... IT-Related Services as a Commodity ... 560§§11.2 ... Scenario: Sizing an IT System ... 564§§11.3 ... Sizing: Costs, Risks, and Opportunities ... 566§§11.4 ... Solution: Data Linearization before Analysis ... 572§§11.5 ... Implementation Scenario and Arc schovat popis