joans 13mba1029
TRANSCRIPT
Objective and techniques
employed:
To find out which period and what is the count through which the internet plan(IPTV_MOV) is going through churn phase and marketer’s understanding the GAP.
1.Import code from flat file to SAS file.
2.Merger Code to join the two files and update the final code similar to look_up function.
3.Frequency distribution to find the gaps and LAG creation for regression.
4.REGRESSION MODEL FOR CHRUN RATE.
5. OUTPUT AS HTML CODE.
Regression CODE and HTML
Output:
proc reg data=work.variable;
model iptv_mov=var_lag;
run;
ods html file ="F:\joans\5th
trisemister\sas\joans.html" ;
Suggestion
After finding out the period through which the
customers leave the plan and by what amount
the people are leaving the plan. Marketers or
research team could go forward and
understand why there was a drop in the count.
Collect more data such as which geographical
area the customer belongs and improvise the
plans which should be the goal.