>> I-TEMPLATE DATA
What is the i-Template?
within the data warehousing industry has evolved,
just as businesses have. With organizations now
required to comply with multiple regulations,
and with competition becoming an even bigger issue,
companies must rely on their data warehouses to
answer questions quickly, accurately, with an
eye on the big picture. This can be facilitated
through the i-Template, an evolutionary approach
to data warehouse modeling. The patent-pending
i-Template is an approach that combines the traditional
Star Schema with 3rd Normal Form (3NF) modeling
Why is the i-Template Important?
Efficiency. All are key components of a data warehouse
strategy that will stand the test of time. That
is what makes the i-Template an important part
of your data warehouse approach. The model is
flexible; it adapts to the functional needs of
an organization without compromising the existing
structure. The model is stable; it can support
small-scale environments as well as terabyte size
implementations – without worry about the
stability or integrity of the data. It is efficient;
by combining Star Schema and 3NF models we have
embraced the best of both techniques.
In addition the i-Template offers:
Rapid adaptability to the business community
Support for both batch and near real time processing
Decreased storage costs
no matter the scope
Extensibility, scalability, and repeatability
is the Value of the i-Template?
Implementation of the i-Template allows
organizations to integrate new functional areas
into their environment in a repeatable, efficient
manner. This adapts to the fast-paced world that
is realized once data warehouse infrastructures
are in production. As requirements tend to come
at a fast pace, so too can the implementation.
How Can Innovative Logic
Data Warehouse Assessment
i-Template Leadership and Mentoring
Data Warehouse Design using the i-Template
imagine walking into a business meeting where
all analysts in the meeting are working with the
same, accurate, complete set of data. The value
of decisions made in those types of meetings is
Do you 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...
of a data warehouse has taken on many meanings
and interpretations throughout the years. But
at its core, a data warehouse represents a consolidated
view of an entity's data – an integration
point for all sources into one vision of the organization.