Introducing Six Sigma Strategy in Data Warehousing

a warehouse is used to gather information frominformation extraction, transformation and loading are
different parts of the business process and thenthe most time consuming exercises in data
making them a part of a centralized database. In awarehousing. If the data structures are strategic and
broader sense, a data warehouse is the collection offunctional the importance of a data warehouse
data that is used by employees of an organizationincreases automatically.
for easy and smooth working.How to Quantify the Data Warehouse Effect?
What is a Six Sigma Strategy?In recent times we have started treating data
Six Sigma is a business management strategy that iswarehouses as belonging to the same group or
used to improve the quality of process outputs byfamily. While designing a data warehouse you must
removing the reasons of defects in a manufacturingdedicate each family to a particular geographical
or business process. It includes statistical methods forlocation as per the hierarchical data. The warehousing
creating special infrastructure within the organization.modules for individual data groups are developed at
Six sigma requires heavy involvement from people atthe initial stage and the new ones are just plugged
all levels of the organization to produce the type ofinto the main data warehouse. The three
change that is necessary to make the program afundamental tables to store attributes of data, linking
success. Six sigma is an expensive program toinformation and aggregated data ready for use are
implement on the front end, but a program that canusually included in a data warehouse.
significantly increase the efficiency and effectivenessHow Can You Apply Six Sigma Elements into
of your work force in the long run.Software Development
The most important reason why corporations includeIf you apply six sigma elements into data warehouse
six-sigma into data warehousing is because it affectssoftware development, it will help in easily identifying
the cost reduction in a positive manner. If the projectthe potential problems in the production at the early
is in early stages, data warehousing and six-sigmastages of a project.
strategy will together allow for better planning, designAnother benefit of including the elements is that the
and implementation.task of data warehousing can give positive results if
The Basics of Data Warehousingall the deployment plans are refined before
The components of data warehousing areimplementation.
multifaceted and complex in nature. They are eitherData warehouse is necessary to remove the
developed in-house or by a third party. Whilecomplexity of tasks in an organization. It has a
designing a data warehouse most of the designersself-assessing nature and provisions for internal
focus on functional and business needs, leaving theauditing that can make the course of implementation
performance constraints aside. This one mistakeeasier. We cannot deny the fact that a data
increases the possibility of missing deadlines andwarehouse remains tied to the system architecture in
reworking on projects that reflect operationalwhich it is built and also makes highly accurate
inefficiencies.predictions in the always-fluctuating business
Today all the data warehouses designed areenvironment.
compatible for real time updating. We know that