<?xml version="1.0" encoding="iso-8859-1"?>
<!DOCTYPE rss PUBLIC "-//Netscape Communications//DTD RSS 0.91//EN"
"http://p.moreover.com/xml_dtds/rss-0_91.dtd">
<rss version="0.91">

<channel>
<title>Data Warehousing Explained</title> 
<link>http://www.dwreview.com</link> 
<description>Data Warehouses are increasingly used by enterprises to increase efficiency and competitiveness. Using Scorecarding, Data Mining and OLAP analysis, business value can be extracted from Data Warehouses.

Generating positive return-on-investments (ROI) from Data Warehouses requires a blend of  business intuitiveness and technical skills.  

This web site covers strategies and technologies that will enhance the ROI of Data Warehousing.
</description> 
<language>en-us</language> 
<copyright>Copyright 2004 Hari Mailvaganam.</copyright>
<managingEditor>info@dwreview.com</managingEditor> 
<webMaster>info@dwreview.com</webMaster> 

<image>
<title>Data Warehousing Explained</title>
<url>http://www.dwreview.com/Images/HomeLogo.gif</url>
<link>http://www.dwreview.com</link>
<width>32</width>
<height>31</height>
<description>Data warehouses are used to have an understanding of an organization's data. Data warehousing encompasses many tools and design methodologies.

In this web site, we go through some of the issues facing data warehousing design and methodology. We will strive to do so in an unbiased manner.
</description> 
</image>



<item>
<title>Data Cleansing for Data Warehousing</title>
<link>http://www.dwreview.com/Articles/Data_Cleansing.html</link>
<description>
<![CDATA[
How important is Extract, Transform, Load (ETL) to data Warehousing?
]]>
</description>
</item>



<item>
<title>Introduction to OLAP
</title>
<link>http://www.dwreview.com/OLAP/Introduction_OLAP.html</link>
<description>
<![CDATA[
Slice, Dice and Drill!

]]>
</description>
</item>



<item>
<title>Selecting an OLAP Application</title>
<link>http://www.dwreview.com/OLAP/OLAP_Selection.html</link>
<description>
<![CDATA[
Minimizing risks in the product selection process
]]>
</description>
</item>



<item>
<title>Planning for a Data Warehouse</title>
<link>http://www.dwreview.com/Articles/PlannningDW.html</link>
<description>
<![CDATA[
Starting a Data Warehousing Project? Three words - Plan, Plan and Plan!
]]>
</description>
</item>



<item>
<title>Designing OLAP Solutions</title>
<link>http://www.dwreview.com/OLAP/OLAP_Comparison.html</link>
<description>
<![CDATA[
MOLAP, ROLAP, HOLAP and other acronyms!
]]>
</description>
</item>



<item>
<title>Introduction to Metadata</title>
<link>http://www.dwreview.com/Articles/Metadata.html</link>
<description>
<![CDATA[
Case study of an implementation in the insurance industry
]]>
</description>
</item>



<item>
<title>Integrated Data Mining and OLAP for MySQL</title>
<link>http://www.dwreview.com/Data_mining/Review_Data.html</link>
<description>
<![CDATA[
Case study for using DAT-A in the retail industry for data mining. Also included in the article is an overview of a data center built on Linux boxes instead of servers.
]]>
</description>
</item>



<item>
<title>Evolution of Analysis - Microsoft's NetScan and Project Aura</title>
<link>http://www.dwreview.com/Data_mining/Microsoft_netscan.html</link>
<description>
<![CDATA[
Data mining, OLAP and reporting combined!
]]>
</description>
</item>



<item>
<title>Data, Data Everywhere!!
</title>
<link>http://www.dwreview.com/index.html</link>
<description>
<![CDATA[

]]>
</description>
</item>



<item>
<title>Future of Data Mining
</title>
<link>http://www.dwreview.com/Data_mining/Future_data_mining.html</link>
<description>
<![CDATA[
From obscurity to center stage

]]>
</description>
</item>



<item>
<title>Relationship Mining</title>
<link>http://www.dwreview.com/Data_mining/Relationship_Mining.html</link>
<description>
<![CDATA[
Data mining six degrees of separation
]]>
</description>
</item>



<item>
<title>Intelligent Data Mining</title>
<link>http://www.dwreview.com/Data_mining/Intelligent_DataMining.html</link>
<description>
<![CDATA[
Open source application for data mining on MySQL
]]>
</description>
</item>



<item>
<title>Text Mining for Fraud Detection</title>
<link>http://www.dwreview.com/Data_mining/Effective_Text_Mining.html</link>
<description>
<![CDATA[
Creating cost effective data mining solutions for fraud analysis
]]>
</description>
</item>



<item>
<title>Data Warehousing RFP
</title>
<link>http://www.dwreview.com/Articles/DW_RFP.html</link>
<description>
<![CDATA[
Writing a Proper Data Warehousing Request for Proposal!

]]>
</description>
</item>



<item>
<title>Data Warehouse Design
</title>
<link>http://www.dwreview.com/Articles/KimballInmon.html</link>
<description>
<![CDATA[
Design Methodologies of Kimball and Inmon...Plus a Third Way

]]>
</description>
</item>



<item>
<title>Data Modeling and Mining</title>
<link>http://www.dwreview.com/Data_mining/DM_models.html</link>
<description>
<![CDATA[
Modeling for data mining
]]>
</description>
</item>



<item>
<title>Data Life Cycle Management
</title>
<link>http://www.dwreview.com/Articles/Data_LifeCycle.html</link>
<description>
<![CDATA[
Evolution of Data in Enterprises

]]>
</description>
</item>



<item>
<title>OLAP Analysis</title>
<link>http://www.dwreview.com/OLAP/index.html</link>
<description>
<![CDATA[
Online Analytical Processing
]]>
</description>
</item>



<item>
<title>Text Mining
</title>
<link>http://www.dwreview.com/Data_mining/text_mining.html</link>
<description>
<![CDATA[
This article gives an overview of Text Mining and also describes an application the author is developing for Text Mining

]]>
</description>
</item>



<item>
<title>Data Warehouse Project Management
</title>
<link>http://www.dwreview.com/Articles/Project_Management.html</link>
<description>
<![CDATA[
Listen, Listen, Listen to the Stakeholders

]]>
</description>
</item>



</channel>
</rss>

