الفهرس 
The impact of data mining and analysis techniques on decision making to add a competitive advantage in the private Egyptian business sector
ContentsOnly 14 pages are availabe for public view
 |  | from | 120 |  |  |
| | | from | 120 | | |
Abstract
In today’s challenging and rapidly changing environment, the
competition become more tough and complex. An organization want
to overcome its competitors has to create and leverage its capabilities.
The heart of high-performance entities is decision making process.
The decision-making process will be highly effective as long as it’s
based on data analysis and mining techniques.
Conventional methods of data analysis, based mainly on human
being dealing directly with the particular data, which do not really scale
to handle along with large data sets. The particular explosive growth in
information and databases has produced an urgent need with regard to
new techniques and equipment that may intelligently and instantly
transform the processed info into useful information and knowledge.
Consequently, data mining has changed into a research area together
with increasing importance.
Organizations of all sizes have started to develop and deploy data
mining technologies to leverage data resources to enhance their
decision-making capabilities. In recent years, companies have started
to realize the potential of using data mining techniques as a form of
competitive advantage. Business information received from data
analysis and data mining is a critical success factor for companies
wishing to maximize competitive advantage.
-IXBeing a part and the head of the operations team of “Delta
Carbon” an industrial gases’ producer (Medical Oxygen), there was a
responsibility of searching a way that enhance our operations to meet
the oxygen demand without pushing all intensive energy processes
which definitely will affect the cost, predicting influencing parameters
under different circumstances will enable us to overcome rapid
fluctuation in demand due to COVID-19 circumstances.
Through using data analysis and mining techniques we were able
to create eight scenarios that predicting LOX yield under different
circumstances.
Those scenarios reveal for us hidden wastes and give us a new
way of adjustments of operating conditions of the ASU that wasn’t
observable previously, the final results if were widely deployed and
addressed earlier during COVID-19, we could avoid and overcome a
lot of emergencies occurred.
I had used one of latest and modern software packages for data
mining which is IBM SPSS Modeler “Version 18” to run a decision
tree technique based on CHAID (Chi square automatic interaction
detection) algorith