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Business
Intelligence Solutions -
Solutions
Utilizing the Q4bis solution eliminates the need for your team to
waste precious time and resources gathering information, and allows
your team to focus on making smarter business judgments.
Efficient
Resource Use
+ Superior Information + Smarter
Decisions = Increased Profit
Examples
The following are some sample solution scenarios to illustrate the
various ways Q4bis can assist organizations in turning their data
into dollars. Q4bis offers numerous, flexible components allowing
it to deliver Business Intelligence Solutions that meet the needs
of most. This means organizations, can select the components they
require to address their unique requirements.
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ERP Turnkey Solution
An organization has an ERP system containing all source data. They
want enhanced reporting and analysis capability for specified business
modules.
Solution
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- Implement
Q4bis DataServer module with source data from the ERP system
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- Cleansed
- Pre-aggregated
- In
a star, non-relational, schema to facilitate rapid analysis
- All
extract, transform and load procedures are pre-defined
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- Deploy
Q4-Analysis to management allowing simple point and click
analysis of key business drivers.
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Existing
Microsoft SQL Server Database
An
organization has an existing Microsoft SQL Server database with
a custom/local database and needs to conduct some analysis of the
data contained within.
Solution
- Develop
a star-schema data repository suitable for OLAP reporting
- Develop
necessary OLAP cubes to analyze repository data
- Use
Q4bis Analysis to present the OLAP data
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Existing
Business Intelligence Tool User
An Organization already has a Business Intelligence (BI) tool but
suffers from poor performance and management find the tool difficult
to use.
Solution
- If
necessary, implement a data repository to extract, transform,
and load information from source systems.
Many BI tools create the OLAP cube directly from the source data.
By doing so, load times for the cube can be significantly greater
than loading from a data repository. This also drastically reduces
the load placed on transactional servers and the time taken to format
data ready for analysis. By shifting the processing off the transactional
server to a dedicated analysis server, performance improvements
in the transactional server should be realized.
- Redirect
the existing BI tool to reference the data repository. Business
analysts and power users continue to use that tool because of
flexibility and know how.
- Deploy
Q4-Analysis to management allowing simple point and click
analysis of key business drivers.
The solution described here adds two things to the existing solution:
first the star schema data repository, and secondly Q4-Analysis
for management/administrative users. The existing BI users will
benefit from the improved performance of their current BI tool while
the remaining new and existing users will see improved data integrity
that comes as a by-product of this type of project.
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