you + data warehouse
DESCRIPTION
A primer on Data Warehouse for businesses who aims to grow and adapt to the increasingly data-driven world.TRANSCRIPT
You + DataWarehouse
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YOU + DATA WAREHOUS E
In this increasingly data-driven world, proactive
data management is no longer a luxury, it is a
necessity. Too much is at stake when data is not
maintained purposefully and fall into the state of
chaos. A business equipped with a Data
Warehouse can prevent that from happening --
also, stands to gain both in cost-cutting and
revenue-increasing fronts.
WHAT IS A DATA WAREHOUSE?
Let's start with what it is not. It is not
simply a Database. It goes beyond by
providing much needed data visibility,
correctibility, analysis, and alerts -- all
in an automated fashion.
A Data Warehouse brings data closer
to the side of the business that takes
care of Accounting and Forecasting
make it a crucial tool for making
important, strategic business decisions.
To put it simply, a Data Warehouse is an
implementation of tools and process that allows
businesses to harness their existing data, to
form a solid foundation to increase efficiency --
and a launchpad to grow.
HOW SERIOUS IS THIS?
Over the past two decades, large corporations
have spent billions of dollars on data marts and
warehouses. The body of knowledge that was
generated through these efforts is vast in
volume. There is a good reason for this:
Business data is valuable.
Not only it is valuable to
the owner, but it is also
useful for the data owner's
customers, vendors, and
other parties. For
example: A smart business
owner, using a Data
Warehouse, could offer
customized views that is
relevant and helpful to their customers; thus
creating a potential new source of revenue.
This revenue model was impractical to
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"Realizing thepotential ofyour existingdata is thefirst steptowardsproactive datamanagement"
3© 2013 [email protected]
implement before Data Warehouse technology came into existence.
DO I NEED ANOTHER SYSTEM?
Most small to medium enterprises today already have a system that
records transaction data. This system could be anything from a set of
spreadsheets to a custom-built software. Unfortunately, understanding
-- let alone analyzing -- data in the format that is stored within those
systems is difficult and time-consuming. Why is that? Simply because
those are designed for computers to process, which is important for
the sake of data integrity, but as-is, it is not useful in helping us make
decisions.
Data Warehouse technology changes this. Now we are able to Extract,
Transform, and Load (ETL) those same data into the
format that is far more condusive for us to analyze, and
to produce meaningful reports, and dashboards.
Having a Data Warehouse give us the ability to not only
see our data better, but also to process it more efficiently
(cutting the cost of manual and error-prone data
transalation labor) and to bring more revenue into the
business.
HOW MUCH IS THE COST?
An Enterprise-level Data Warehouse used to cost
hundreds of thousands of dollars to implement and
maintain annually. Not anymore.
There are two forces that work together to make
affordable, high-quality Data Warehouse a reality in today's world:
1 . The increasing awareness of the value of existing business data
among small to medium enterprises
2 . The maturity of Open Source software tools that allows businesss to
implement and maintain a Data Warehouse without being saddled by
expensive license and support contracts
Questions that a DataWarehouse Answers:
1 . How is the business doing?
2 . How accurate is my forecasts?
3. How come the numbers do not
add up?
4. Why some of the figures do not
make sense?
5. How can I show my customers
that I am doing a good job for
them?
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The most important fact that every business
owners considering the cost of a Data Warehouse
is represented in the chart at the center of this
page: SEVENTY-PERCENT OF THE COST OF
IMPLEMENTING AND MAINTAINING A DATA WAREHOUSE
IS TO SUPPORT THE REQUIRED team of personnels.
Who are these personnels? BI Consultants,
database administrators, ETL developers, and
other positions that may be
required by specific industries.
The good news is that for the
majority of businesses, the Data
Warehouse will quickly pay for
itself once it is operational. And
when it matures, it will become
an indispensible part of the
business, not unlike a physical warehouse for a
business that distributes goods. Is there an
upkeep cost? Certainly. But to run that type of
business without one is simply unthinkable.
HOW TO GET STARTED?
A typical Data Warehouse implementation starts
with a review of the existing data. A competent
BI consultant -- especially the ones who have
experience across different industry domains --
should then be able to come up with the analytic
data model for your existing data without too
much difficulties.
Next comes the installation of the software tools
on a server. A cloud virtual server instance
which is easy to acquire nowadays is a good
candidate for hosting the Data Warehouse. Some
of these already come with the BI tools, which
helps in terms of software infrastructure but still
requires the right personnel to build the Data
Warehouse with.
With the tools in place, ETL scripts and reports
can start to be written. Again, the level of
experience and best practices that the BI
consultant should come into play here to speed
up the process. At this point, the
personnel who will maintain the
Data Warehouse should come
into the picture and start to be
familiar with the analytical data
model.
The next and final phase is the
installation of alerts and the
maturing of the Data Warehouse which brings
about the self-montoring and correcting aspects.
Usually, by this time the business already reaped
the benefit of increased visibility, error detection,
and automated reports and dashboards.
CONCLUSION
Without any doubt, one of the most useful
innovation in the field of enterprise systems is
the knowledge base of Data Warehouses design
and construction. The number of decisions that
are made by businesses running everyday is
getting more predictive and accurate. If you
have not yet considered a Data Warehouse as a
part of your system, maybe it is time to have a
second look.
WG