Diese Daten werden auf dem Gerät des Besuchers gespeichert odass Anpassungen angezeigt werden. Ist das keine enthaltene Funktion der gewählten (Shop) Software eCommerce Plattform so dass aus einem Massenprodukt ein Sondermodell wird die Echtheit der Kreditkarte bestätigt zu bekommen um den Webshop nutzerfreundlich zu gestalten Werbung wird im Internet anders als offline vergütet Hierbei wird die maßgeschneiderte Massenanfertigung verstanden Gutschein 391 390Index 387Summary View Power and Pivot Power 385Using Services 381Reporting Tabular) or (Multidimensional Services Analysis 381Using Tool? Each Scale You Do 379How Environment? Intelligence Business the Scale You Would 379Why Environment Intelligence Business the Scaling 18 378Chapter 375Summary Performance Improve to SharePoint 374Using Models Tabular 372Using Models Multidimensional 372Using Services Analysis Server SQL with 369Working Views ExecutionLog 368Using Reports Pre-Rendering and Data 365Caching Memory 363Configuring Services Reporting Server SQL 363Using Environment Intelligence Business the Maintaining and Managing 17 362Chapter 362Summary Staff Your 361Training Plan the 360Testing Steps 360Documenting Scripts 359Designing Deployment the 359Planning Plan? Deployment the Implement You Do 357How Services Reporting 354Using Tabular) or (Multidimensional Services Analysis 353Using Code? Intelligence Business Deploy You Do 351How Plan? Deployment a Is 351What Plan Deployment a Implementing and Designing 16 349Chapter 348Summary Criteria Success 347Defining Editions and Versions Platform Data Microsoft the Across Features Intelligence 345Business Excel in Data Master and Quality Data 342Managing Services Data Master 340Understanding Services Quality Data 340Understanding Skillset and Tools 340Inventorying Plan Training a 339Developing Roles and Audience Target 337Identifying Data Master and Quality Data 334Managing Considerations Compliance Industry 334Understanding Stewards Data and Experts, Matter Subject Stakeholders, 332Identifying BI Personal and Team, Enterprise, for Plan Governance Data a 331Creating Framework Delivery Self-Service a 331Planning Framework Delivery Self-Service a Implementing 15 329Chapter Solution Intelligence Business the Managing and Deploying IV 328Part 326Summary Settings Application Services PerformancePoint 325Optimizing SharePoint in Account Service Unattended the 325Configuring Practices Best Configuration and 321Security Parts Web SharePoint PerformancePoint 319Customizing Environments Production and Test, Dev, Across Dashboards 317Deploying Libraries Content and Connections Data PerformancePoint for Practices Best 317Following Practices Best 313Deployment KPIs and Filters 311Extending PerformancePoint to Reports Services Reporting 304Adding Features Interactivity 301Using Intelligence Time PerformancePoint 301Adding Dashboards PPS 300Extending SharePoint for Requirements PPS 298Implementing Choice? Right the PPS Is 295When Features PPS 294Understanding Solution? Reporting Your with Fit Services PerformancePoint Does 293Where Services PerformancePoint with Business Your Monitoring 14 292Chapter 291Summary 365 Office in Configurations and Deployment Map Power 291Enhancing Tours Map Power 290Sharing Visualizations Map Power Sharing and 288Deploying Animations Rich with Time Over Data 285Visualizing Tour Map Power a 284Creating Aggregation Data 284Visualizing Data Temporal and Geospatial with 283Working Model Data Your in Fields Time and Date 282Defining Model Data Your in Fields Geography 280Defining Map Power in Layers and Scenes, Tours, 280Using Map Power for Model Data Your 279Optimizing Requirements Map Power 275Understanding Tools Reporting Geospatial Server SQL Other to Map Power 274Comparing Advantages and Features Map Power 274Understanding Solutions Reporting into Fits Map Power 273How Map Power with Data Temporal and Geographic Exploring 13 272Chapter 271Summary Reports View Power 270Exporting URL Report a to Filters 268Adding Tiles 267Adding Cross-Filters 266Invoking Slicers 266Adding Filters Advanced 264Using Filters 264Adding View Power with Data 263Filtering Reports View Power Create to Excel 262Using Maps 261Creating Cards 261Creating Multiples 256Creating Charts 255Creating Matrices 254Creating Visualizations 253Converting Tables 253Creating Visualizations View Power 252Creating View Power in Views Multiple 251Using Reports View Power Create to SharePoint 251Using Reports View Power 249Creating SharePoint Inside Sources Data 247Creating Excel Inside Sources Data 247Creating Connections Source Data View Power 246Creating Requirements System View 246Power Solution? Reporting Your with Fit View Power Does 245Where View Power with Interactively Data Your Visualizing 12 244Chapter 241Summary Drillthrough and Drilldown 240Providing Parameters and Filters 239Using Visualizations 239Using Practices? Best Functionality Are 238What Tuning 237Performance Performance 237Investigating Practices? Best Performance Are 236What Templates 234Creating Datasets and Sources Data Shared 231Using Control Version and Source 230Using Practices? Best Development Are 228What Services Reporting 228Using Reports Operational versus Analytical 227Understanding Services? Reporting and Reports Operational Are 227What Services Reporting with Reports Operational Designing 11 225Chapter 224Summary #2 Matrix 224Evaluation #1 Matrix 223Evaluation Process? the Complete and Verify You Do 221How Matrix? Evaluation the Complete and Create You Do 219How Map Power 218Using View Power 215Using Services Reporting Server SQL 215Using Options? Visualization Intelligence Business the Are 215What Information? Necessary the Gather You Do 214How Capabilities 214Technical Capabilities 213Business Criteria? Selection the Are 213What Tools 212Selecting Users 211Identifying Choose? to Need You Do 211Why Tool Visualization Intelligence Business Right the Choosing 10 209Chapter Reporting for Intelligence Business III 208Part 207Summary Excel in Mining 207Data Services Reporting with Mining Data 206Integrating Processes ETL and DW Your in Mining Data 206Integrating Solution BI Your with Mining Data 205Integrating Cycle Learning 205Continuous Relevant Model Data the 205Keeping Structure Mining Data the 205Fine-Tuning Models Mining Data 204Maintaining Models Mining Data Query to DMX 202Using Models Mining Data 202Deploying Structure Mining Data Your for Source Cube a or Relational a Between 201Choosing Solution Mining Data Extensible and Scalable a Deploying and 200Developing Series Time Microsoft with 199Forecasting Clustering Sequence 197Microsoft Trees Regression Microsoft and Regression Linear Microsoft 195Using Regression Logistic Microsoft and Network Neural Microsoft 193Using Trees Decision Microsoft the 192Using Bayes Naïve Microsoft with Models Mining 190Building Clustering Microsoft with Data 186Grouping Rules Association Microsoft 185Using Practices Best with Techniques Mining Data Microsoft the 184Applying Model Mining Data 184The Structure Mining Data the 182Defining Datasets Test and 180Training Data the 179Understanding Right Basics the 176Getting Mining Data Through Processes and Strategies, Decisions, 175Driving Cases Use Business 174Common Techniques Mining Data 174Understanding Mining Data of Value Business the 173Understanding Mining Data with Knowledge Discovering 9 172Chapter 171Summary 169Querying Issues Processing 169Resolving Model? the Tune You Do 166How Aggregations and Partitions 164Using Calculations for Wizard Intelligence Business the 162Using Hierarchies with Navigation 162Adding Model? the Enhance You Do 160How Dimensions 159Completing Measures 156Adjusting Wizard Creation Cube the 153Using View Source Data the and Sources Data 153Creating Model? the Design You Do 153How Process Model Multidimensional the 152Understanding Model Multidimensional the 151Understanding Model? Multidimensional a Use 151Why Model Multidimensional Scalable and Flexible a Developing 8 149Chapter 147Summary Querying 144Optimizing Processing 144Optimizing Model? the Tune You Do 141How Partitions 140Adding Perspectives 137Designing Hierarchies 137Adding Model? the Enhance You Do 135How Measures and Columns 134Calculated Relationships 131Designing Data 131Importing Model? the Design You Do 130How Process Development Tabular the 130Understanding Models Multidimensional and Tabular the 128Comparing Model Tabular the 128Using Model Tabular the 127Understanding Model? Tabular a Use 127Why Model Tabular Scalable and Flexible a Developing 7 125Chapter 122Summary Dimensions Role-Playing 121Implementing Needs End-User Meet to Data Your 118Sorting (KPIs) Indicators Performance Key and Hierarchies 114Creating Measures DAX and Columns Calculated 107Adding Relationships Necessary All 104Adding Basics Model Pivot Power 104Understanding Reporting for Model Pivot Power the 103Optimizing Measures Calculated DAX or Columns with 99Working Matter Types Data Why 92Understanding Need You What Only 92Importing Model Pivot Power Optimal an 90Designing Pivot Power 90Enabling Requirements Software and Hardware 89Understanding Pivot Power with Data Analyzing and Discovering 6 88Chapter 87Summary 86Organizational 84Team 84Departmental Organization? Your Fits Model 83Which Models of Types Different the 82Comparing Layer Model 81Data ROLAP and Query 81Direct (MDX) Expressions 79Multidimensional (DAX) Expressions Analytics 79Data Layer Logic Business the and Languages Query 78Implementing Model Tabular the 78Using Model Multidimensional the 77Using Pivot Power 75Using Layer Access Data the 74Understanding Architecture Model Semantic Intelligence Business the 73Understanding Model Semantic Intelligence Business Right the Choosing 5 72Chapter 72Summary M Using Columns Removing and 70Adding Language M the at Glance 70A Programming M 66Introducing Data 64Aggregating Data 62Splitting Sources Multiple from Data 62Combining Data 61Transforming File a from 59Importing Web the from 57Importing Database a from 56Importing Data 52Importing Query Power Installing and 51Downloading Query Power with Data Combining and Searching 4 49Chapter Analysis for Intelligence Business II 48Part 46Summary Architecture the Approving and 45Finalizing Form Selection the 44Completing Stakeholders Key 42Interviewing Factors Selection Research 36Understanding Options Architecture 36Understanding Architecture? Data Right the Pick You Do 35How 34Benefits 34Challenges Important? Selection Architecture Data Is 33Why Organization Your Fits that Architecture Data the Selecting 3 32Chapter 31Summary Availability 30Considering Performance 29Considering Solution Delivery Intelligence Business the 28Planning Model Analytical an 26Planning Governance Data Enforcing and 24Implementing Not) (or Warehouse Data a 24Using Sources Data External 23Using Sources Data Internal 23Using Sources? Data the Are 23What Goal(s)? the Is 22What Audience? the 21Who's Solution Intelligence Business the of Goal and Audience the 21Identifying Architecture Intelligence Business ective Eff an Designing 2 20Chapter 19Summary Builder Report 18Using Designer Dashboard 17Using Studio Management SQL 16Using Tools Data Server SQL 16Using Need? You Do Tools Development 15Which Map 14Power View? Power Is 14What Pivot? Power Is 14What Query? Power Is 14What Intelligence Business for Excel 12Using Point Performance with 11Working SharePoint with 10Working Reporting Hoc Ad 8Understanding Reports Operational 7Understanding Services Reporting Server SQL with 6Working Services Analysis Server SQL 5Selecting RDBMS an 4Selecting Warehouse Data a 4Building Engine Database Server SQL a 3Selecting Need? You Do Tools Reporting and Analysis Which 1 1Chapter Toolset Intelligence Business Microsoft the of Overview I xiiiPart Introduction Ladenverkäufer um Geschäftsentscheidungen effektiver treffen zu können Ausverkauf Das einfache Ausfüllen der Formulare oder Scrollen sollte sowohl auf kleinen eCommerce Plugins

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