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AYTEM İ Z AYTEM İ Z Organization Aytemiz extending the 1960 Group of Companies is one of the last half-century period of high primary success rate of community. Continue the Group's 50 years of continuous development of our line, energy and industrial sectors have a significant weight. Chemical and manufacturing industries, Aytemiz Group of Companies are the other key areas of work. Group in recent years, entered the electricity generation business from renewable sources; has started many projects, especially in the field of hydroelectric power plants.

Goal Identification Goal Identification A data analysis was collected weekly from the company and then main problem was determined. Main problem: Aytemiz find less the amount of fuel taken from the company by the number of customers per week. Questionnaire study was conducted to find the cause of this main problem

Creating a target data set Creating a target data set Purpose of data mining is selected only related problem's data and that to the analysis. Therefore, only the data were determined to be a solution to the problem in database. Thus, the target data set was created.

Let's look briefly some determinants of survey questions. The survey occurs 15 questions. These questions to determine the target data sets are listed as follows: Which do you prefer the petrol station to get petrol or LPG? How much do you get petrol or lpg per week? How much do you spend the average of fuel cost per week? Which do you prefer payment options?

Data Preprocessing Data Preprocessing If firm have missing data what will firm do? Therefore, the strategies decided for handling missing data fields in this section. This strategies are; Aytemiz to customers who prefer the company was offered the opportunity to register for free card.

The purpose of this application are listed as follows: The host computer to be automatically backed up in the company of customer information. To classify customers (ex: which customer are loyal?) To determine the intensity intervals during the day. Thus, the number of employees is determined in petrol. To determine the number of the customer to benefit from promotions

Data Mining Process of semi-automatically analyzing large database to find patterns that are: Valid: Valid: hold on new data with some certainty. According to the Aytemiz company fuel averaging (weekly):78,83 TL. (valid data can see in excel)

Novel: Novel: Non-obvious to the system. As a result of the Aytemiz Company applied discount promotion between 12pm-7am; a price of fuel decreased 4.30 TL to 3.99 TL. (novel data can see in excel) According to the Aytemiz Company the average of salary given to the fuel: TL (weekly)

Classification Classification We have classified our customers as a result of data mining. Most of people start to work life average of 25 years old. From this age, needs increased for car. As a result, our model was accepted as the lower limit 25 years old.

Classification: Decision Trees

We can see data about status according to the good or risky chart in excel.

Clustering Clustering Cluster is a group of objects that belong to the same class. The most obvious differences between the clustering and classification are ; In the classification limits were determined with certainty. The main advantage of clustering over classification is that, it is adaptable to changes.

Rule: if weekly income > 100 TL then good else risky

We can see data about status according to the clustering chart in excel.

ASSOCIATION Associated with fuel oil and service for increase company’s revenue. Now, briefly talk about from this strategies;

1) Vehicle interior washing. ( who buy fuel oil over 50 TL, vehicle interior washing 5 TL ) 2) Vehicle exterior washing. ( who buy fuel oil over 50 TL, vehicle exterior washing 3 TL ) 3) Fuel oil and engine oil. 4) Fuel oil and cleaning cloth.

Also “support “and “confidance” level is added to this associations. Associations: (fuel oil, interior washing, exterior washing) Support: 0.3 It means 30% of all customers buy fuel oil, interior washing or exterior washing. Confidance for ( fuel oil )  (exterior washing, interior washing) is 80%. It means 80% of the customers who buy fuel oil also, buy interior or exterior washing service.

Estimation Aytemiz company, before don’t making fuel oil discount, according to the number of incoming customer sold fuel oil was less than normally. When collaborative studies done for data mining at Aytemiz company, what is happen of problem that It is understood. Therefore, it is necessary to improve have been made at firm. According to made improvements result of 13.44% was growth in revenues at Aytemiz Company.