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| Basic Philosophy |
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| In order to understand the basic philosophy of the CEC solution,
one should firstly understand the industry accepted process for
developing a Business intelligence System as well as the 6 typical
steps with the process |
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- Step 1 : Define and agree reporting outcomes with the
client
- Step 2 : Align the reporting requirements with the ERP
system objects
- Step 3 : Identify data sources required to populate objects
- Step 4 : Validate the quality of the data source
- Step 5 : Collate data from all sources into the objects
structure
- Step 6 : Report information in the required reporting
outputs
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| Although this process is sound, CEC realises that the business
purposes of such a process is not to generate a report (data
and information) but rather to support a business decision within a
timely fashion. The figure below demonstrates how data, information,
business decisions and the resulting actions are related to each
other within the strategic decision making framework. |
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| The traditional B1 approach takes a large amount of time to
generate data and distil it into information. CEC speeds up the
process to allow clients to move from data to information in a
fraction of the time leading to more time being available for better
quality decisions and also being able to make decisions quicker than
in the traditional approach. This is done through the following
innovations. |
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- Step 1 : We have predefined operational and management
reports based on years of practical management experience
- Step 2 : Pre-defined ERP object alignment based on
extensive experience in the ERP systems environment
- Step 4 : Pre-defined automated validation routines again
based on years of solving source data validity problems
- Step 5 & 6 : Once validated, collation and reporting of data
is automated within the CEC Product Suite. Furthermore,
CEC's competency development ensures optimal use of the CEC
Product Suite.
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| The proprietary intellectual capital within these innovations
provides CEC with the ability to harness your enterprise
intelligence and use your existing information assets better. |
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