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A data warehouse a repository of an organization's historical
data, in other words it can be stated as its corporate memory, which can be
used to generate the information required by its management or decision support
system. The data warehouse is normally optimized for simplicity and speed. A
data warehouse can gather data from a range of different data sources - such as
mainframe computers, minicomputers, personal computers and office automation
software such as spreadsheet - integrate and then store it in a single place.
This capability, coupled with user-friendly reporting tools and freedom from
operational impacts, is what business organizations need today. Use of a data
warehouse technology can help organizations
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Improve end-user access to a variety of data.
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Obtain various kinds of trend reports such as sales in a particular area/region
in a given time period.
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Improve consistency in their data.
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Improve productivity while reducing the computing costs.
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Have an infrastructure that is capable of supporting changes to data and
replication of the changed data back into the operational systems.
Taksheel provides a complete range of data warehouse services including Strategy
Consulting, Systems Architecture and Systems Implementation. Our consultants
are experienced in deploying mission-critical data warehouse solutions of
varying architectures and sizes for online and offline industries, including
financial services, retailing, manufacturing pharmaceutical and
telecommunications. Our capabilities include expertise in ETL
(Extract-Transform-Load), using third-party products and reporting application
(using query and OLAP tools).
Taksheel's data warehouse solution provides an integrated software platform to
enable corporations to gain access to the information that will provide unique
insight into their business performance. This platform reduces the complexity
of integrating the analytic needs of a corporation with the underlying
transactional systems, providing an environment, which is powerful, scalable
and responsive to change.
Taksheel's Data Warehousing methodology includes the following steps;
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