everywhere, growing in size and value. Data is
available from a myriad of sources: internal systems,
web sources, third-party value-add systems, departmental
data and a host of other possibilities. In today's
economy, these sources need to be integrated in
order to make the most informed, accurate decisions.
This leads to a potentially complex integration
environment – the creation of a Very Large
Data Warehouse (VLDW).
VLDW practice focuses on both the business and
technical aspects of building an infrastructure
to support the voluminous amounts of data and
information. To effectively integrate data from
CRM, supply chain, extranet, financial data and
other areas requires the ability to manage and
control the astounding volume and complexity of
data, business rules and synergy between the integrated
Why is VLDW Important?
have a good technique for nailing down VLDW requirements
with your end users? Do you have analysts trained
in capturing reporting and analysis requirements?
If not, we can help by supplying you with tools
and processes to optimize the time spent gathering
information from your business community. This
is always an important step in building a warehouse
environment. But it is imperative when it comes
It is important to implement all areas of VLDW
from the beginning. Because of the exponential
amounts of data, and potential complexity, it
is critical to understand all factors of VLDW
in order to make the most sound, strategic decisions.
If done correctly, with the incorporation of all
aspects of a VLDW environment, your project will
have a much higher likelihood of succeeding.
What is the Value of
seeing rapid change in both technology and the
requirements for analysis of massive sets of information.
More and more, businesses are looking at the related
issues and recognizing that patterns, trends and
analysis of these items are becoming critical
to the success of the business.
From a technical perspective, successful VLDW
environments must understand and strategize on
many areas of the infrastructure.
Performance Driven Data Warehouse
VLDW Project Plan Methodology
Data Cleansing and Quality
Meta Data Strategies
Business Rule Integration
Training Requirements and Options
From a business perspective,
successful VLDW environments must focus on the
increasingly challenging experience of managing
the expectations of the business users that will
be accessing the VLDW environment. A paramount
component of this management is keeping the business
closely aligned with the implementation. Many
of the issues experienced in a VLDW implementation
are misaligned business expectations. Though technology
plays a role in schedules and timelines, the business
must remain involved in the progress and implementation
Logic Inc. offers
expertise in the business of “managing business”.