Table Of Contents

  1. Business Intelligence Introduction
    1. The Need
    2. The Need - 2
    3. Roadmap
    4. Balanced scorecard and Key Performance Indicators
  2. Statistics for Business Intelligence- Theory
    1. Introduction
    2. Descriptive Statistics
    3. Shape
    4. Distribution
    5. Sampling
    6. Inferential Statistics
    7. Hypothesis Testing
    8. Inference for two populations
    9. ANOVA
    10. Chi-Square Tests
    11. Simple Regression
    12. Multiple Regression
    13. Multiple Regression Model Building
    14. Non parametric statistics
  3. Statistics for Business Intelligence- Implementation
    1. T-test, F-test and p-value
    2. Use of Statistics- Practical considerations
    3. Statistics-Examples
    4. Design Of Experiments - Introduction
    5. Examples using R- Comparing two conditions
    6. Examples using R- Analysis of Variance
  4. Oracle Business Intelligence Enterprise Edition (OBIEE)
    1. OBIEE - Introduction
    2. OBIEE - Creating a MySql Datasource
    3. OBIEE - Creating an OBIEE repository and importing a physical schema
    4. OBIEE - Creating logical model and presentation catalog
    5. OBIEE - Creating Hierarchy and drill down table
    6. OBIEE - Using a Column Selector for additional Drill down
    7. OBIEE - Creating a Rank measure
    8. OBIEE - Managing Cache
    9. OBIEE - Creating and Using dynamic repository variable
    10. OBIEE - Session variables and row level security
    11. OBIEE - Configuring the publisher/scheduler for MySql
  5. R
    1. R and Java - JRI using eclipse
    2. R and Java - JRI using eclipse on 64 bit machines
    3. R and Java - JRI using Netbeans
    4. R - Tutorial I (Basics and Vectors)
  6. Data Management
    1. Introduction to Data warehouse
    2. Dimensional Modeling

Monday, June 28, 2010

OBIEE - Creating a Rank Measure

We look at creating a rank measure in this post. We will use the sales_fact_1997 table for this example. Join the sales_fact_1997 table with the product, store, time_by_day and promotion table in the physical layer. Drag the sales_fact_1997 and product table to the logical layer and create appropriate joins.
We will create a salesRank logical column in the sales_fact_1997 logical table. Follow this steps to create the column.
1. Right click on the logical table and select new logical column. Enter the name of the column as SalesRank and select on the check box that says 'use existing logical column as source'. use the expression builder to build the rank expression as shown


Create a sales table in the presentation catalog and add the salesrank unit_sales and the product name columns.

Open Answers and create a new request. Drag the columns from the sales table to the request.

This creates a report of products with ranked sales. To select the top 10 use a filter.

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