Page 5 - DCAP606_BUSINESS_INTELLIGENCE
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SYLLABUS
                                                  Business Intelligence

            Objectives: To impart the skills needed to manage database of large scale organization, techniques for data mining. Student
            will learn OLAP and generating quick reports.

              S. No.                                          Description
                1.     Business  Intelligence:  Introduction,  Meaning,  Purpose  and  Structure  of  Business  Intelligence  Systems.
                       Understanding  Multidimensional  Analysis  Concepts:  Attributes,  Hierarchies  and  Dimensions  in  data
                       Analysis. Understanding  Dimensional  Data  Warehouse: Fact  Table,  Dimension  Tables,  Surrogate  Keys  and
                       alternative Table Structure. What is multi-dimension OLAP?
                2.     Understanding  OLAP:  Fast  response,  Meta-data  based  queries,  Spread  sheet  formulas.  Understanding
                       Analysis Services speed and meta-data. Microsoft’s Business intelligence Platform. Analysis Services Tools.
                       Data Extraction, Transformation and Load. Meaning and Tools for the same.
                3.     Creating your First Business Intelligence Project: Creating Data source, Creating Data view. Modifying the
                       Data view. Creating Dimensions, Time, and Modifying dimensions. Parent-Child Dimension.
                4.     Creating Cube: Wizard to Create Cube. Preview of Cube. Adding measure and measure groups to a cube.
                       Calculated members. Deploying and Browsing a Cube.
                5.     Advanced  Measures  and  Calculations:  Aggregate  Functions.  Using  MDX  to  retrieve  values  from  cube.
                       Calculation Scripting. Creation of KPI’s.
                6.     Advanced  Dimensional  Design:  Creating  reference,  fact  and  many  to  many  dimensions.  Using  Financial
                       Analysis Cubes. Interacting with a cube. Creating Standard and Drill Down Actions.
                7.     Retrieving Data from Analysis Services: Creating Perspectives, MDX Queries, Excel with Analysis Services.
                8.     Data Mining: Meaning and purpose. Creating data for data mining. Data mining model creation. Selecting
                       data mining algorithm. Understanding data mining tools. Mapping Mining Structure to Source Data columns.
                       Using Cube Sources. Configuring Algorithm parameters.
                9.     Creating Data mining queries and reports: Creation of Prediction queries. Understanding DMX language.
                10.    Reporting Tools: Using SQL Server Reporting Services to develop reports for analysis services.
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