Building Business Intelligence Application With .Net

Data is the lifeblood of modern business. As computerized systems have spread throughout all facets of business, the amount of data collected has exploded. Data is captured in almost every consumer activity, and most of this data ends up in some kind of transaction processing system, but it only has value if it can be used to make better decisions. Business intelligence allows you to pull all of this data together to help form a unified view of your enterprise that executives and analysts can use to generate insights and make better decisions. Making this data accessible, however, is a challenge facing all businesses. The commercial tools available do not always address all of the issues of particular data, so most companies create their own solutions. Building Business Intelligence Applications with .NET provides a practical guide to creating these tools, by teaching corporate software developers how to use .NET technologies to build applications for data mining, statistical analysis, or OLAP, and explains how to integrate them with existing transactional applications. By using the compelling technologies offered by .NET (such as Web Services, Smart Clients, and XML for Analysis) developers can construct BI applications that address their critical data, analytical, and flexiblity issues. 1 Business Intelligence Building a Business Intelligence Platform Steps to Successful Business Intelligence Understand the Problem Collect the Data Analyze the Data Share the Results Act on the Information Overcoming Obstacles Managerial Control Systems Performance Measurement Business Intelligence Technologies Data Warehouse On-line Analytical Processing (OLAP) Reports Data Mining Analytic Applications .NET Business Intelligence End Notes and References 2 The .NET Data Warehouse Top-down versus Bottom-up Top-down Bottom-up Hybrid Approach Data Warehouse vs. Transactional Systems Atomicity Consistency Isolation Durability Performance Impact Different Uptime Requirements Operational Data Store Dimensional Modeling Star Schema Slowly Changing Dimensions Shared Dimensions Sizing of a Data Warehouse Extraction, Transformation, and Loading (ETL) Metadata Data Preparation and Cleansing Loading Data Data Transformation Service Import/Export Wizard DTS Designer Package Templates DTS Programming Creating a Cube in Analysis Services End Notes and References 3 OLAP Cubes Cube Concepts Defining a Cube Querying with MDX Built-in Functions Registered Functions 4 Analysis Service Clients Client Technologies OLE DB for OLAP Getting Data in a Recordset Getting Data in a Cellset Putting It All Together Using Decision Support Objects 5 XML for Analysis Overview SOAP Goals Methods Sample Application 6 ADOMD.NET Overview XMLA 1.1 Object Model Accessing Data Create a Connection Get Metadata Run Commands Close Connection 169 Security A Simple Example of ADOMD.NET 7 Reporting Overview Designing Reports Crystal Reports for Visual Studio .NET Reporting Example Report Web Services Crystal Enterprise Printing Reports on the Web 8 Data Mining What Is Data Mining? Data Mining vs. Statistical Analysis Data Mining Techniques Decision Trees Clustering Neural Networks Steps for Data Mining Step One: Definition Step Two: Training Step Three: Prediction The Importance of Quality Data Legalities of Data Use Should You Do Data Mining? Data Mining with Analysis Services OLE DB for Data Mining Using Analysis Server Tools 9 Analytic Applications Steps for Analytic Applications Getting a Return Digital Dashboards Microsoft SharePoint Windows SharePoint Services SharePoint Portal Server 2003 ASP.NET Controls HTML Controls Web Controls Web Parts A MDX Functions B MDX Properties C Standard MDX Operators D XMLA Rowsets DISCOVER_DATASOURCES DISCOVER_SCHEMA_ROWSETS E OLE DB for OLAP Schemas F A Statistics Primer Probability and Distributions Descriptive Statistics Descriptive Graphics Statistical Tests Hypothesis Testing Correlation The One-sample t-test The Two-sample t-test The Paired t-test The F-test Regression Analysis Tests of Proportion Analysis of Variance (ANOVA) End Notes and References G About the CD-ROM CD-ROM Folders System Requirements 1584502711 Details   Quantity 500 item(s) available Weight 2.00 lbs Price: $49.95 Options   Quantity 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50  Add to cart

Send to friend

Your name: * Your e-mail: * Recipient's e-mail: *  Send to friend

Recommended products list

Algorithms: Sequential, Parallel, and Distributed Microsoft Access 2002 - Illustrated Brief The CCNA Exam Prep Guide: The TestTaker's Guide Series Graphic Design Solutions Publishing with Illustrator & Freehand Microsoft Office Publisher 2003?Illustrated Introductory Microsoft Office 2003 BASICS Student Guide to Blackboard Version 6 (Pin-Protected) Microsoft Office XP, Windows XP Edition?Illustrated Introductory TOM Student Tutorial/CD - 1.3

Product rating

Product rating Voting Select your rating... Excellent! Very good Good Fair Poor   Add your review here Your name: Your message: