DW - Data Warehousing & Modeling

09 Mar 2010 Tuesday
For quite a while, large enterprises now make use of Business Intelligence, solutions which enable them to get a better view on the management information and performance of the company.

Project Management in a BI/DW/PM environment

Portrait de Christophe Cabrera

Introduction

Business Intelligence and data warehouse projects are often seen as costly and never ending on time or even worst as costly projects that never deliver any benefits. As with any ICT related project, this can be true in some cases but quite often the root cause is incorrect or lack of project management during those projects.

Information requirements gathering

Portrait de Werner Engelen

Introduction

As in any project, also in Business Intelligence and Data Warehousing projects, a time exists for discovery of what is wanted and/or needed followed by a time for building what results from the requirements. In typical project management best practices, this discovery process is done through a phase called "requirements analysis”. Normally requirements analysis is a part of the "Analyze” project phase as depicted in the element61 project methodology elementary™ underneath.
17 Sep 2009 Thursday
During a gala-event on September 16th 2009 in Brussels, the Echo Group was awarded the Benelux BeyeNETWORK Vision Award for Business Impact in the category "Performance Management”. The awards and competition are an initiative of BI Community...

Multi-dimensional modeling in SAP BW: art or science?

Portrait de Thierry Helderweirt

Fast and reliable access to your information is one of the key success factors for any Business Intelligence or Data Warehousing application. Within the technological architecture of SAP BW the multi-dimensional model of InfoCubes has a tremendous impact on performance. A good dimension design optimizes performance in three ways:

23 Apr 2009 Thursday
Element61, the thought-leading Performance Management consulting company, today announced its intent to acquire privately held VRS Consulting, the Business Intelligence Innovator.

Data quality screening : an inside-out approach to improving data quality

Portrait de Werner Engelen

Introduction

Data quality is an often underestimated topic within data warehouse & business intelligence solutions.
 
Most companies are content in their belief that their data is good enough, although they have no factual basis for that belief. It takes facts to change their minds into a more correct awareness: ‘I had no idea the problem was that large'.
 

An undertaking of improving data quality or getting insight into the data quality provided, should answer amongst other the following questions;

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