Business Intelligence in SQL Server 2005: A First Look











Jack Hakim


Program Track:
Technical Briefings

Program Duration:
50 Minutes  




Value Category: Navigation
Key Issues: How can an enterprise identify patterns, trends, rules, and relationships from volumes of information too large to be processed by human analysis alone? What is Business Intelligence (BI)? Is there a BI toolkit designed to help companies use data more effectively and make better decisions? What are the components of Microsoft’s BI package in SQL Server 2005, and what are some of the problems you can solve with these tools? Does Microsoft have a perspective on BI? How does BI improve the speed and reliability of business decisions? Are there significant architectural changes to SQL Server 2005, and how does it rely on Microsoft’s .NET framework? What are the new implementations of OLAP (Online Analytical Processing)? Is there a description of the new tools and techniques in Microsoft’s data mining?
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Application Development
Architecture and Infrastructure
Business Applications
Business Management
Customer Relationship Management
Data Management
IT Management
 
    
Business people are often faced with the challenge of identifying patterns, trends, rules, and relationships from volumes of information too large to be processed by human analysis alone. Business Intelligence (BI) is an approach to turning these large volumes of data into insight and action. Microsoft’s next version of its SQL Server DBMS features an enhanced BI toolkit designed to help companies use data more effectively and make better decisions. In this program, Jack Hakim, CEO and President of EC Wise, a BI practice, examines the components of Microsoft’s BI package in SQL Server 2005, and discusses some of the problems you can solve with these tools. In an interview, Bill Baker, General Manager, Business Intelligence, Microsoft’s Business Intelligence SQL Server Group, offers Microsoft’s perspective on BI. Hakim opens the program with a brief introduction to BI, noting how it can improve the speed and reliability of business decisions. He continues by examining the significant architectural changes to SQL Server 2005, focusing on its reliance on Microsoft’s .NET framework and the availability of the new BI tools. Hakim then turns his attention to new implementations of OLAP, addressing how it differs from previous incarnations, and showing how it can be used to solve typical business problems. He continues by describing new tools and techniques in Microsoft’s data mining, and concludes with a recap and recommendations.

By watching this program, you will learn about:
~ The important new features in SQL Server 2005;
~ The BI components of SQL Server 2005; and
~ How and when they should be used.

Viewers of the online and CD versions of the program will have instant access to Web links that include: ‘SQL Server 2005: Late but Loaded’; ‘ETL,’ from Computerworld Magazine; and numerous pages from the Microsoft Web site, such as ‘Introducing SQL Server 2005, Code-Named Yukon.’ White papers include: ‘Business Intelligence: Data Mining for Dynamic Customer Analysis’ and ‘Business Intelligence: Vendor Solutions, Features and Functionality.’

PROGRAM TOPICS:

  • INTRODUCTION
  • PROGRAM ROI
  • AGENDA
  • AN INTRODUCTION TO BUSINESS INTELLIGENCE
  • Questions About Business Intelligence
  • What is Business Intelligence?
  • Microsoft’s BI Activities
  • The Data Leveraging Process
  • How the Microsoft BI Stack Fits In
  • WHAT'S EXCITING ABOUT SQL SERVER 2005?
  • Microsoft BI Development Workbench
  • SQL Server 2005 Features
  • Where is Business Intelligence Useful?
  • ONLINE ANALYTICAL PROCESSING AND HOW IT’S IMPROVED
  • Online Analytical Processing
  • Multidimensional Structures: Cubes
  • IntelliCube Technology
  • Multidimensional Expressions
  • Proactive Caching
  • The Solution Explorer
  • NEW TOOLS AND TECHNIQUES IN MICROSOFT'S DATA MINING
  • Data Mining
  • Data Mining Algorithms
  • Patterns
  • The Classification Process
  • Bayesian Classification Methods
  • Naive Bayes
  • Microsoft Clustering
  • Sequence Clustering
  • Microsoft's Association Algorithm
  • Microsoft's Decision Trees
  • Disadvantages of Microsoft's Decision Trees
  • Microsoft's Time Series Algorithm
  • Neural Net Algorithms
  • TYING IT ALL TOGETHER AND RECAP
  • Data Mining Technologies
  • Business Intelligence Trends
  • Parting Thoughts
  • Concluding Thoughts

    AVAILABLE ON:

    Videotape, CD-ROM, Internet, Intranet

    Presenter:

    Jack Hakim
    View Bio | Email the Expert

    Guest:

    Bill Baker
    View Bio | Email the Expert

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