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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
- Improve end-user access to a variety of data.
- Obtain various kinds of trend reports such as sales in
a particular area/region in a given time period.
- Improve consistency in their data.
- Improve productivity while reducing the computing
costs.
- 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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